---
_id: '8728'
abstract:
- lang: eng
  text: Discrete-time Markov Chains (MCs) and Markov Decision Processes (MDPs) are
    two standard formalisms in system analysis. Their main associated quantitative
    objectives are hitting probabilities, discounted sum, and mean payoff. Although
    there are many techniques for computing these objectives in general MCs/MDPs,
    they have not been thoroughly studied in terms of parameterized algorithms, particularly
    when treewidth is used as the parameter. This is in sharp contrast to qualitative
    objectives for MCs, MDPs and graph games, for which treewidth-based algorithms
    yield significant complexity improvements. In this work, we show that treewidth
    can also be used to obtain faster algorithms for the quantitative problems. For
    an MC with n states and m transitions, we show that each of the classical quantitative
    objectives can be computed in   O((n+m)⋅t2)  time, given a tree decomposition
    of the MC with width t. Our results also imply a bound of   O(κ⋅(n+m)⋅t2)  for
    each objective on MDPs, where   κ  is the number of strategy-iteration refinements
    required for the given input and objective. Finally, we make an experimental evaluation
    of our new algorithms on low-treewidth MCs and MDPs obtained from the DaCapo benchmark
    suite. Our experiments show that on low-treewidth MCs and MDPs, our algorithms
    outperform existing well-established methods by one or more orders of magnitude.
alternative_title:
- LNCS
article_processing_charge: No
author:
- first_name: Ali
  full_name: Asadi, Ali
  last_name: Asadi
- first_name: Krishnendu
  full_name: Chatterjee, Krishnendu
  id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
  last_name: Chatterjee
  orcid: 0000-0002-4561-241X
- first_name: Amir Kafshdar
  full_name: Goharshady, Amir Kafshdar
  id: 391365CE-F248-11E8-B48F-1D18A9856A87
  last_name: Goharshady
  orcid: 0000-0003-1702-6584
- first_name: Kiarash
  full_name: Mohammadi, Kiarash
  last_name: Mohammadi
- first_name: Andreas
  full_name: Pavlogiannis, Andreas
  id: 49704004-F248-11E8-B48F-1D18A9856A87
  last_name: Pavlogiannis
  orcid: 0000-0002-8943-0722
citation:
  ama: 'Asadi A, Chatterjee K, Goharshady AK, Mohammadi K, Pavlogiannis A. Faster
    algorithms for quantitative analysis of MCs and MDPs with small treewidth. In:
    <i>Automated Technology for Verification and Analysis</i>. Vol 12302. Springer
    Nature; 2020:253-270. doi:<a href="https://doi.org/10.1007/978-3-030-59152-6_14">10.1007/978-3-030-59152-6_14</a>'
  apa: 'Asadi, A., Chatterjee, K., Goharshady, A. K., Mohammadi, K., &#38; Pavlogiannis,
    A. (2020). Faster algorithms for quantitative analysis of MCs and MDPs with small
    treewidth. In <i>Automated Technology for Verification and Analysis</i> (Vol.
    12302, pp. 253–270). Hanoi, Vietnam: Springer Nature. <a href="https://doi.org/10.1007/978-3-030-59152-6_14">https://doi.org/10.1007/978-3-030-59152-6_14</a>'
  chicago: Asadi, Ali, Krishnendu Chatterjee, Amir Kafshdar Goharshady, Kiarash Mohammadi,
    and Andreas Pavlogiannis. “Faster Algorithms for Quantitative Analysis of MCs
    and MDPs with Small Treewidth.” In <i>Automated Technology for Verification and
    Analysis</i>, 12302:253–70. Springer Nature, 2020. <a href="https://doi.org/10.1007/978-3-030-59152-6_14">https://doi.org/10.1007/978-3-030-59152-6_14</a>.
  ieee: A. Asadi, K. Chatterjee, A. K. Goharshady, K. Mohammadi, and A. Pavlogiannis,
    “Faster algorithms for quantitative analysis of MCs and MDPs with small treewidth,”
    in <i>Automated Technology for Verification and Analysis</i>, Hanoi, Vietnam,
    2020, vol. 12302, pp. 253–270.
  ista: 'Asadi A, Chatterjee K, Goharshady AK, Mohammadi K, Pavlogiannis A. 2020.
    Faster algorithms for quantitative analysis of MCs and MDPs with small treewidth.
    Automated Technology for Verification and Analysis. ATVA: Automated Technology
    for Verification and Analysis, LNCS, vol. 12302, 253–270.'
  mla: Asadi, Ali, et al. “Faster Algorithms for Quantitative Analysis of MCs and
    MDPs with Small Treewidth.” <i>Automated Technology for Verification and Analysis</i>,
    vol. 12302, Springer Nature, 2020, pp. 253–70, doi:<a href="https://doi.org/10.1007/978-3-030-59152-6_14">10.1007/978-3-030-59152-6_14</a>.
  short: A. Asadi, K. Chatterjee, A.K. Goharshady, K. Mohammadi, A. Pavlogiannis,
    in:, Automated Technology for Verification and Analysis, Springer Nature, 2020,
    pp. 253–270.
conference:
  end_date: 2020-10-23
  location: Hanoi, Vietnam
  name: 'ATVA: Automated Technology for Verification and Analysis'
  start_date: 2020-10-19
date_created: 2020-11-06T07:30:05Z
date_published: 2020-10-12T00:00:00Z
date_updated: 2026-07-23T22:30:56Z
day: '12'
ddc:
- '000'
department:
- _id: KrCh
doi: 10.1007/978-3-030-59152-6_14
external_id:
  isi:
  - '000723555700014'
file:
- access_level: open_access
  checksum: ae83f27e5b189d5abc2e7514f1b7e1b5
  content_type: application/pdf
  creator: dernst
  date_created: 2020-11-06T07:41:03Z
  date_updated: 2020-11-06T07:41:03Z
  file_id: '8729'
  file_name: 2020_LNCS_ATVA_Asadi_accepted.pdf
  file_size: 726648
  relation: main_file
  success: 1
file_date_updated: 2020-11-06T07:41:03Z
has_accepted_license: '1'
intvolume: '     12302'
isi: 1
language:
- iso: eng
month: '10'
oa: 1
oa_version: Submitted Version
page: 253-270
project:
- _id: 25832EC2-B435-11E9-9278-68D0E5697425
  call_identifier: FWF
  grant_number: S 11407_N23
  name: Rigorous Systems Engineering
- _id: 25892FC0-B435-11E9-9278-68D0E5697425
  grant_number: ICT15-003
  name: Efficient Algorithms for Computer Aided Verification
- _id: 267066CE-B435-11E9-9278-68D0E5697425
  name: Quantitative Analysis of Probabilistic Systems with a focus on Crypto-Currencies
publication: Automated Technology for Verification and Analysis
publication_identifier:
  eisbn:
  - '9783030591526'
  eissn:
  - 1611-3349
  isbn:
  - '9783030591519'
  issn:
  - 0302-9743
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
related_material:
  record:
  - id: '8934'
    relation: dissertation_contains
    status: public
scopus_import: '1'
status: public
title: Faster algorithms for quantitative analysis of MCs and MDPs with small treewidth
type: conference
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 12302
year: '2020'
...
---
_id: '8089'
abstract:
- lang: eng
  text: "We consider the classical problem of invariant generation for programs with
    polynomial assignments and focus on synthesizing invariants that are a conjunction
    of strict polynomial inequalities. We present a sound and semi-complete method
    based on positivstellensaetze, i.e. theorems in semi-algebraic geometry that characterize
    positive polynomials over a semi-algebraic set.\r\n\r\nOn the theoretical side,
    the worst-case complexity of our approach is subexponential, whereas the worst-case
    complexity of the previous complete method (Kapur, ACA 2004) is doubly-exponential.
    Even when restricted to linear invariants, the best previous complexity for complete
    invariant generation is exponential (Colon et al, CAV 2003). On the practical
    side, we reduce the invariant generation problem to quadratic programming (QCLP),
    which is a classical optimization problem with many industrial solvers. We demonstrate
    the applicability of our approach by providing experimental results on several
    academic benchmarks. To the best of our knowledge, the only previous invariant
    generation method that provides completeness guarantees for invariants consisting
    of polynomial inequalities is (Kapur, ACA 2004), which relies on quantifier elimination
    and cannot even handle toy programs such as our running example."
article_processing_charge: No
arxiv: 1
author:
- first_name: Krishnendu
  full_name: Chatterjee, Krishnendu
  id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
  last_name: Chatterjee
  orcid: 0000-0002-4561-241X
- first_name: Hongfei
  full_name: Fu, Hongfei
  id: 3AAD03D6-F248-11E8-B48F-1D18A9856A87
  last_name: Fu
- first_name: Amir Kafshdar
  full_name: Goharshady, Amir Kafshdar
  id: 391365CE-F248-11E8-B48F-1D18A9856A87
  last_name: Goharshady
  orcid: 0000-0003-1702-6584
- first_name: Ehsan Kafshdar
  full_name: Goharshady, Ehsan Kafshdar
  last_name: Goharshady
citation:
  ama: 'Chatterjee K, Fu H, Goharshady AK, Goharshady EK. Polynomial invariant generation
    for non-deterministic recursive programs. In: <i>Proceedings of the 41st ACM SIGPLAN
    Conference on Programming Language Design and Implementation</i>. Association
    for Computing Machinery; 2020:672-687. doi:<a href="https://doi.org/10.1145/3385412.3385969">10.1145/3385412.3385969</a>'
  apa: 'Chatterjee, K., Fu, H., Goharshady, A. K., &#38; Goharshady, E. K. (2020).
    Polynomial invariant generation for non-deterministic recursive programs. In <i>Proceedings
    of the 41st ACM SIGPLAN Conference on Programming Language Design and Implementation</i>
    (pp. 672–687). London, United Kingdom: Association for Computing Machinery. <a
    href="https://doi.org/10.1145/3385412.3385969">https://doi.org/10.1145/3385412.3385969</a>'
  chicago: Chatterjee, Krishnendu, Hongfei Fu, Amir Kafshdar Goharshady, and Ehsan
    Kafshdar Goharshady. “Polynomial Invariant Generation for Non-Deterministic Recursive
    Programs.” In <i>Proceedings of the 41st ACM SIGPLAN Conference on Programming
    Language Design and Implementation</i>, 672–87. Association for Computing Machinery,
    2020. <a href="https://doi.org/10.1145/3385412.3385969">https://doi.org/10.1145/3385412.3385969</a>.
  ieee: K. Chatterjee, H. Fu, A. K. Goharshady, and E. K. Goharshady, “Polynomial
    invariant generation for non-deterministic recursive programs,” in <i>Proceedings
    of the 41st ACM SIGPLAN Conference on Programming Language Design and Implementation</i>,
    London, United Kingdom, 2020, pp. 672–687.
  ista: 'Chatterjee K, Fu H, Goharshady AK, Goharshady EK. 2020. Polynomial invariant
    generation for non-deterministic recursive programs. Proceedings of the 41st ACM
    SIGPLAN Conference on Programming Language Design and Implementation. PLDI: Programming
    Language Design and Implementation, 672–687.'
  mla: Chatterjee, Krishnendu, et al. “Polynomial Invariant Generation for Non-Deterministic
    Recursive Programs.” <i>Proceedings of the 41st ACM SIGPLAN Conference on Programming
    Language Design and Implementation</i>, Association for Computing Machinery, 2020,
    pp. 672–87, doi:<a href="https://doi.org/10.1145/3385412.3385969">10.1145/3385412.3385969</a>.
  short: K. Chatterjee, H. Fu, A.K. Goharshady, E.K. Goharshady, in:, Proceedings
    of the 41st ACM SIGPLAN Conference on Programming Language Design and Implementation,
    Association for Computing Machinery, 2020, pp. 672–687.
conference:
  end_date: 2020-06-20
  location: London, United Kingdom
  name: 'PLDI: Programming Language Design and Implementation'
  start_date: 2020-06-15
date_created: 2020-07-05T22:00:45Z
date_published: 2020-06-11T00:00:00Z
date_updated: 2026-07-23T22:30:56Z
day: '11'
department:
- _id: KrCh
doi: 10.1145/3385412.3385969
external_id:
  arxiv:
  - '1902.04373'
  isi:
  - '000614622300045'
isi: 1
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://arxiv.org/abs/1902.04373
month: '06'
oa: 1
oa_version: Preprint
page: 672-687
project:
- _id: 25832EC2-B435-11E9-9278-68D0E5697425
  call_identifier: FWF
  grant_number: S 11407_N23
  name: Rigorous Systems Engineering
- _id: 25892FC0-B435-11E9-9278-68D0E5697425
  grant_number: ICT15-003
  name: Efficient Algorithms for Computer Aided Verification
publication: Proceedings of the 41st ACM SIGPLAN Conference on Programming Language
  Design and Implementation
publication_identifier:
  isbn:
  - '9781450376136'
publication_status: published
publisher: Association for Computing Machinery
quality_controlled: '1'
related_material:
  record:
  - id: '8934'
    relation: dissertation_contains
    status: public
scopus_import: '1'
status: public
title: Polynomial invariant generation for non-deterministic recursive programs
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2020'
...
---
_id: '7810'
abstract:
- lang: eng
  text: "Interprocedural data-flow analyses form an expressive and useful paradigm
    of numerous static analysis applications, such as live variables analysis, alias
    analysis and null pointers analysis. The most widely-used framework for interprocedural
    data-flow analysis is IFDS, which encompasses distributive data-flow functions
    over a finite domain. On-demand data-flow analyses restrict the focus of the analysis
    on specific program locations and data facts. This setting provides a natural
    split between (i) an offline (or preprocessing) phase, where the program is partially
    analyzed and analysis summaries are created, and (ii) an online (or query) phase,
    where analysis queries arrive on demand and the summaries are used to speed up
    answering queries.\r\nIn this work, we consider on-demand IFDS analyses where
    the queries concern program locations of the same procedure (aka same-context
    queries). We exploit the fact that flow graphs of programs have low treewidth
    to develop faster algorithms that are space and time optimal for many common data-flow
    analyses, in both the preprocessing and the query phase. We also use treewidth
    to develop query solutions that are embarrassingly parallelizable, i.e. the total
    work for answering each query is split to a number of threads such that each thread
    performs only a constant amount of work. Finally, we implement a static analyzer
    based on our algorithms, and perform a series of on-demand analysis experiments
    on standard benchmarks. Our experimental results show a drastic speed-up of the
    queries after only a lightweight preprocessing phase, which significantly outperforms
    existing techniques."
alternative_title:
- LNCS
article_processing_charge: No
author:
- first_name: Krishnendu
  full_name: Chatterjee, Krishnendu
  id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
  last_name: Chatterjee
  orcid: 0000-0002-4561-241X
- first_name: Amir Kafshdar
  full_name: Goharshady, Amir Kafshdar
  id: 391365CE-F248-11E8-B48F-1D18A9856A87
  last_name: Goharshady
  orcid: 0000-0003-1702-6584
- first_name: Rasmus
  full_name: Ibsen-Jensen, Rasmus
  id: 3B699956-F248-11E8-B48F-1D18A9856A87
  last_name: Ibsen-Jensen
  orcid: 0000-0003-4783-0389
- first_name: Andreas
  full_name: Pavlogiannis, Andreas
  id: 49704004-F248-11E8-B48F-1D18A9856A87
  last_name: Pavlogiannis
  orcid: 0000-0002-8943-0722
citation:
  ama: 'Chatterjee K, Goharshady AK, Ibsen-Jensen R, Pavlogiannis A. Optimal and perfectly
    parallel algorithms for on-demand data-flow analysis. In: <i>European Symposium
    on Programming</i>. Vol 12075. Springer Nature; 2020:112-140. doi:<a href="https://doi.org/10.1007/978-3-030-44914-8_5">10.1007/978-3-030-44914-8_5</a>'
  apa: 'Chatterjee, K., Goharshady, A. K., Ibsen-Jensen, R., &#38; Pavlogiannis, A.
    (2020). Optimal and perfectly parallel algorithms for on-demand data-flow analysis.
    In <i>European Symposium on Programming</i> (Vol. 12075, pp. 112–140). Dublin,
    Ireland: Springer Nature. <a href="https://doi.org/10.1007/978-3-030-44914-8_5">https://doi.org/10.1007/978-3-030-44914-8_5</a>'
  chicago: Chatterjee, Krishnendu, Amir Kafshdar Goharshady, Rasmus Ibsen-Jensen,
    and Andreas Pavlogiannis. “Optimal and Perfectly Parallel Algorithms for On-Demand
    Data-Flow Analysis.” In <i>European Symposium on Programming</i>, 12075:112–40.
    Springer Nature, 2020. <a href="https://doi.org/10.1007/978-3-030-44914-8_5">https://doi.org/10.1007/978-3-030-44914-8_5</a>.
  ieee: K. Chatterjee, A. K. Goharshady, R. Ibsen-Jensen, and A. Pavlogiannis, “Optimal
    and perfectly parallel algorithms for on-demand data-flow analysis,” in <i>European
    Symposium on Programming</i>, Dublin, Ireland, 2020, vol. 12075, pp. 112–140.
  ista: 'Chatterjee K, Goharshady AK, Ibsen-Jensen R, Pavlogiannis A. 2020. Optimal
    and perfectly parallel algorithms for on-demand data-flow analysis. European Symposium
    on Programming. ESOP: Programming Languages and Systems, LNCS, vol. 12075, 112–140.'
  mla: Chatterjee, Krishnendu, et al. “Optimal and Perfectly Parallel Algorithms for
    On-Demand Data-Flow Analysis.” <i>European Symposium on Programming</i>, vol.
    12075, Springer Nature, 2020, pp. 112–40, doi:<a href="https://doi.org/10.1007/978-3-030-44914-8_5">10.1007/978-3-030-44914-8_5</a>.
  short: K. Chatterjee, A.K. Goharshady, R. Ibsen-Jensen, A. Pavlogiannis, in:, European
    Symposium on Programming, Springer Nature, 2020, pp. 112–140.
conference:
  end_date: 2020-04-30
  location: Dublin, Ireland
  name: 'ESOP: Programming Languages and Systems'
  start_date: 2020-04-25
corr_author: '1'
date_created: 2020-05-10T22:00:50Z
date_published: 2020-04-18T00:00:00Z
date_updated: 2026-07-23T22:30:56Z
day: '18'
ddc:
- '000'
department:
- _id: KrCh
doi: 10.1007/978-3-030-44914-8_5
external_id:
  isi:
  - '000681656800005'
file:
- access_level: open_access
  checksum: 8618b80f4cf7b39a60e61a6445ad9807
  content_type: application/pdf
  creator: dernst
  date_created: 2020-05-26T13:34:48Z
  date_updated: 2020-07-14T12:48:03Z
  file_id: '7895'
  file_name: 2020_LNCS_Chatterjee.pdf
  file_size: 651250
  relation: main_file
file_date_updated: 2020-07-14T12:48:03Z
has_accepted_license: '1'
intvolume: '     12075'
isi: 1
language:
- iso: eng
license: https://creativecommons.org/licenses/by/4.0/
month: '04'
oa: 1
oa_version: Published Version
page: 112-140
project:
- _id: 25832EC2-B435-11E9-9278-68D0E5697425
  call_identifier: FWF
  grant_number: S 11407_N23
  name: Rigorous Systems Engineering
- _id: 25892FC0-B435-11E9-9278-68D0E5697425
  grant_number: ICT15-003
  name: Efficient Algorithms for Computer Aided Verification
- _id: 266EEEC0-B435-11E9-9278-68D0E5697425
  name: Quantitative Game-theoretic Analysis of Blockchain Applications and Smart
    Contracts
- _id: 267066CE-B435-11E9-9278-68D0E5697425
  name: Quantitative Analysis of Probabilistic Systems with a focus on Crypto-Currencies
publication: European Symposium on Programming
publication_identifier:
  eissn:
  - 1611-3349
  isbn:
  - '9783030449131'
  issn:
  - 0302-9743
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
related_material:
  record:
  - id: '8934'
    relation: dissertation_contains
    status: public
scopus_import: '1'
status: public
title: Optimal and perfectly parallel algorithms for on-demand data-flow analysis
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
  short: CC BY (4.0)
type: conference
user_id: ba8df636-2132-11f1-aed0-ed93e2281fdd
volume: 12075
year: '2020'
...
---
_id: '6918'
abstract:
- lang: eng
  text: "We consider the classic problem of Network Reliability. A network is given
    together with a source vertex, one or more target vertices, and probabilities
    assigned to each of the edges. Each edge of the network is operable with its associated
    probability and the problem is to determine the probability of having at least
    one source-to-target path that is entirely composed of operable edges. This problem
    is known to be NP-hard.\r\n\r\nWe provide a novel scalable algorithm to solve
    the Network Reliability problem when the treewidth of the underlying network is
    small. We also show our algorithm’s applicability for real-world transit networks
    that have small treewidth, including the metro networks of major cities, such
    as London and Tokyo. Our algorithm leverages tree decompositions to shrink the
    original graph into much smaller graphs, for which reliability can be efficiently
    and exactly computed using a brute force method. To the best of our knowledge,
    this is the first exact algorithm for Network Reliability that can scale to handle
    real-world instances of the problem."
acknowledgement: We are grateful to the anonymous reviewers for their comments, which
  significantly improved the present work. The research was partially supported by
  the EPSRC Early Career Fellowship EP/R023379/1, grant no. SC7-1718-01 of the London
  Mathematical Society, an IBM PhD Fellowship, and a DOC Fellowship of the Austrian
  Academy of Sciences (ÖAW).
article_number: '106665'
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Amir Kafshdar
  full_name: Goharshady, Amir Kafshdar
  id: 391365CE-F248-11E8-B48F-1D18A9856A87
  last_name: Goharshady
  orcid: 0000-0003-1702-6584
- first_name: Fatemeh
  full_name: Mohammadi, Fatemeh
  last_name: Mohammadi
citation:
  ama: Goharshady AK, Mohammadi F. An efficient algorithm for computing network reliability
    in small treewidth. <i>Reliability Engineering and System Safety</i>. 2020;193.
    doi:<a href="https://doi.org/10.1016/j.ress.2019.106665">10.1016/j.ress.2019.106665</a>
  apa: Goharshady, A. K., &#38; Mohammadi, F. (2020). An efficient algorithm for computing
    network reliability in small treewidth. <i>Reliability Engineering and System
    Safety</i>. Elsevier. <a href="https://doi.org/10.1016/j.ress.2019.106665">https://doi.org/10.1016/j.ress.2019.106665</a>
  chicago: Goharshady, Amir Kafshdar, and Fatemeh Mohammadi. “An Efficient Algorithm
    for Computing Network Reliability in Small Treewidth.” <i>Reliability Engineering
    and System Safety</i>. Elsevier, 2020. <a href="https://doi.org/10.1016/j.ress.2019.106665">https://doi.org/10.1016/j.ress.2019.106665</a>.
  ieee: A. K. Goharshady and F. Mohammadi, “An efficient algorithm for computing network
    reliability in small treewidth,” <i>Reliability Engineering and System Safety</i>,
    vol. 193. Elsevier, 2020.
  ista: Goharshady AK, Mohammadi F. 2020. An efficient algorithm for computing network
    reliability in small treewidth. Reliability Engineering and System Safety. 193,
    106665.
  mla: Goharshady, Amir Kafshdar, and Fatemeh Mohammadi. “An Efficient Algorithm for
    Computing Network Reliability in Small Treewidth.” <i>Reliability Engineering
    and System Safety</i>, vol. 193, 106665, Elsevier, 2020, doi:<a href="https://doi.org/10.1016/j.ress.2019.106665">10.1016/j.ress.2019.106665</a>.
  short: A.K. Goharshady, F. Mohammadi, Reliability Engineering and System Safety
    193 (2020).
date_created: 2019-09-29T22:00:44Z
date_published: 2020-01-01T00:00:00Z
date_updated: 2026-07-23T22:30:56Z
day: '01'
department:
- _id: KrCh
doi: 10.1016/j.ress.2019.106665
external_id:
  arxiv:
  - '1712.09692'
  isi:
  - '000501641400050'
intvolume: '       193'
isi: 1
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://arxiv.org/abs/1712.09692
month: '01'
oa: 1
oa_version: Preprint
project:
- _id: 266EEEC0-B435-11E9-9278-68D0E5697425
  name: Quantitative Game-theoretic Analysis of Blockchain Applications and Smart
    Contracts
publication: Reliability Engineering and System Safety
publication_identifier:
  issn:
  - 0951-8320
publication_status: published
publisher: Elsevier
quality_controlled: '1'
related_material:
  record:
  - id: '8934'
    relation: dissertation_contains
    status: public
scopus_import: '1'
status: public
title: An efficient algorithm for computing network reliability in small treewidth
type: journal_article
user_id: ba8df636-2132-11f1-aed0-ed93e2281fdd
volume: 193
year: '2020'
...
---
OA_place: publisher
_id: '7525'
abstract:
- lang: eng
  text: "The medial habenula (MHb) is an evolutionary conserved epithalamic structure
    important for the modulation of emotional memory. It is involved in regulation
    of anxiety, compulsive behavior, addiction (nicotinic and opioid), sexual and
    feeding behavior. MHb receives inputs from septal regions and projects exclusively
    to the interpeduncular nucleus (IPN). Distinct sub-regions of the septum project
    to different subnuclei of MHb: the bed nucleus of anterior commissure projects
    to dorsal MHb and the triangular septum projects to ventral MHb. Furthermore,
    the dorsal and ventral MHb project to the lateral and rostral/central IPN, respectively.
    Importantly, these projections have unique features of prominent co-release of
    different neurotransmitters and requirement of a peculiar type of calcium channel
    for release. In general, synaptic neurotransmission requires an activity-dependent
    influx of Ca2+ into the presynaptic terminal through voltage-gated calcium channels.
    The calcium channel family most commonly involved in neurotransmitter release
    comprises three members, P/Q-, N- and R-type with Cav2.1, Cav2.2 and Cav2.3 subunits,
    respectively. In contrast to most CNS synapses that mainly express Cav2.1 and/or
    Cav2.2, MHb terminals in the IPN exclusively express Cav2.3. In other parts of
    the brain, such as the hippocampus, Cav2.3 is mostly located to postsynaptic elements.
    This unusual presynaptic location of Cav2.3 in the MHb-IPN pathway implies unique
    mechanisms of glutamate release in this pathway. One potential example of such
    uniqueness is the facilitation of release by GABAB receptor (GBR) activation.
    Presynaptic GBRs usually inhibit the release of neurotransmitters by inhibiting
    presynaptic calcium channels. MHb shows the highest expression levels of GBR in
    the brain. GBRs comprise two subunits, GABAB1 (GB1) and GABAB2 (GB2), and are
    associated with auxiliary subunits, called potassium channel tetramerization domain
    containing proteins (KCTD) 8, 12, 12b and 16. Among these four subunits, KCTD12b
    is exclusively expressed in ventral MHb, and KCTD8 shows the strongest expression
    in the whole MHb among other brain regions, indicating that KCTD8 and KCTD12b
    may be involved in the unique mechanisms of neurotransmitter release mediated
    by Cav2.3 and regulated by GBRs in this pathway. \r\nIn the present study, we
    first verified that neurotransmission in both dorsal and ventral MHb-IPN pathways
    is mainly mediated by Cav2.3 using a selective blocker of R-type channels, SNX-482.
    We next found that baclofen, a GBR agonist, has facilitatory effects on release
    from ventral MHb terminal in rostral IPN, whereas it has inhibitory effects on
    release from dorsal MHb terminals in lateral IPN, indicating that KCTD12b expressed
    exclusively in ventral MHb may have a role in the facilitatory effects of GBR
    activation. In a heterologous expression system using HEK cells, we found that
    KCTD8 and KCTD12b but not KCTD12 directly bind with Cav2.3. Pre-embedding immunogold
    electron microscopy data show that Cav2.3 and KCTD12b are distributed most densely
    in presynaptic active zone in IPN with KCTD12b being present only in rostral/central
    but not lateral IPN, whereas GABAB, KCTD8 and KCTD12 are distributed most densely
    in perisynaptic sites with KCTD12 present more frequently in postsynaptic elements
    and only in rostral/central IPN. In freeze-fracture replica labelling, Cav2.3,
    KCTD8 and KCTD12b are co-localized with each other in the same active zone indicating
    that they may form complexes regulating vesicle release in rostral IPN. \r\nOn
    electrophysiological studies of wild type (WT) mice, we found that paired-pulse
    ratio in rostral IPN of KCTD12b knock-out (KO) mice is lower than those of WT
    and KCTD8 KO mice. Consistent with this finding, in mean variance analysis, release
    probability in rostral IPN of KCTD12b KO mice is higher than that of WT and KCTD8
    KO mice. Although paired-pulse ratios are not different between WT and KCTD8 KO
    mice, the mean variance analysis revealed significantly lower release probability
    in rostral IPN of KCTD8 KO than WT mice. These results demonstrate bidirectional
    regulation of Cav2.3-mediated release by KCTD8 and KCTD12b without GBR activation
    in rostral IPN. Finally, we examined the baclofen effects in rostral IPN of KCTD8
    and KCTD12b KO mice, and found the facilitation of release remained in both KO
    mice, indicating that the peculiar effects of the GBR activation in this pathway
    do not depend on the selective expression of these KCTD subunits in ventral MHb.
    However, we found that presynaptic potentiation of evoked EPSC amplitude by baclofen
    falls to baseline after washout faster in KCTD12b KO mice than WT, KCTD8 KO and
    KCTD8/12b double KO mice. This result indicates that KCTD12b is involved in sustained
    potentiation of vesicle release by GBR activation, whereas KCTD8 is involved in
    its termination in the absence of KCTD12b. Consistent with these functional findings,
    replica labelling revealed an increase in density of KCTD8, but not Cav2.3 or
    GBR at active zone in rostral IPN of KCTD12b KO mice compared with that of WT
    mice, suggesting that increased association of KCTD8 with Cav2.3 facilitates the
    release probability and termination of the GBR effect in the absence of KCTD12b.\r\nIn
    summary, our study provided new insights into the physiological roles of presynaptic
    Cav2.3, GBRs and their auxiliary subunits KCTDs at an evolutionary conserved neuronal
    circuit. Future studies will be required to identify the exact molecular mechanism
    underlying the GBR-mediated presynaptic potentiation on ventral MHb terminals.
    It remains to be determined whether the prominent presence of presynaptic KCTDs
    at active zone could exert similar neuromodulatory functions in different pathways
    of the brain.\r\n"
acknowledged_ssus:
- _id: EM-Fac
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Pradeep
  full_name: Bhandari, Pradeep
  id: 45EDD1BC-F248-11E8-B48F-1D18A9856A87
  last_name: Bhandari
  orcid: 0000-0003-0863-4481
citation:
  ama: Bhandari P. Localization and functional role of Cav2.3 in the medial habenula
    to interpeduncular nucleus pathway. 2020. doi:<a href="https://doi.org/10.15479/AT:ISTA:7525">10.15479/AT:ISTA:7525</a>
  apa: Bhandari, P. (2020). <i>Localization and functional role of Cav2.3 in the medial
    habenula to interpeduncular nucleus pathway</i>. Institute of Science and Technology
    Austria. <a href="https://doi.org/10.15479/AT:ISTA:7525">https://doi.org/10.15479/AT:ISTA:7525</a>
  chicago: Bhandari, Pradeep. “Localization and Functional Role of Cav2.3 in the Medial
    Habenula to Interpeduncular Nucleus Pathway.” Institute of Science and Technology
    Austria, 2020. <a href="https://doi.org/10.15479/AT:ISTA:7525">https://doi.org/10.15479/AT:ISTA:7525</a>.
  ieee: P. Bhandari, “Localization and functional role of Cav2.3 in the medial habenula
    to interpeduncular nucleus pathway,” Institute of Science and Technology Austria,
    2020.
  ista: Bhandari P. 2020. Localization and functional role of Cav2.3 in the medial
    habenula to interpeduncular nucleus pathway. Institute of Science and Technology
    Austria.
  mla: Bhandari, Pradeep. <i>Localization and Functional Role of Cav2.3 in the Medial
    Habenula to Interpeduncular Nucleus Pathway</i>. Institute of Science and Technology
    Austria, 2020, doi:<a href="https://doi.org/10.15479/AT:ISTA:7525">10.15479/AT:ISTA:7525</a>.
  short: P. Bhandari, Localization and Functional Role of Cav2.3 in the Medial Habenula
    to Interpeduncular Nucleus Pathway, Institute of Science and Technology Austria,
    2020.
corr_author: '1'
date_created: 2020-02-26T10:56:37Z
date_published: 2020-02-28T00:00:00Z
date_updated: 2026-04-08T07:27:27Z
day: '28'
ddc:
- '570'
degree_awarded: PhD
department:
- _id: RySh
doi: 10.15479/AT:ISTA:7525
file:
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  creator: pbhandari
  date_created: 2020-02-28T08:37:53Z
  date_updated: 2021-03-01T23:30:04Z
  embargo: 2021-02-28
  file_id: '7538'
  file_name: Pradeep Bhandari Thesis.pdf
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  relation: main_file
  title: Localization and functional role of Cav2.3 in the medial habenula to interpeduncular
    nucleus pathway
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  creator: pbhandari
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  file_id: '7539'
  file_name: Pradeep Bhandari Thesis.docx
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  title: Localization and functional role of Cav2.3 in the medial habenula to interpeduncular
    nucleus pathway
file_date_updated: 2021-03-01T23:30:04Z
has_accepted_license: '1'
keyword:
- Cav2.3
- medial habenula (MHb)
- interpeduncular nucleus (IPN)
language:
- iso: eng
month: '02'
oa: 1
oa_version: Published Version
page: '79'
publication_identifier:
  issn:
  - 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
status: public
supervisor:
- first_name: Ryuichi
  full_name: Shigemoto, Ryuichi
  id: 499F3ABC-F248-11E8-B48F-1D18A9856A87
  last_name: Shigemoto
  orcid: 0000-0001-8761-9444
title: Localization and functional role of Cav2.3 in the medial habenula to interpeduncular
  nucleus pathway
type: dissertation
user_id: ba8df636-2132-11f1-aed0-ed93e2281fdd
year: '2020'
...
---
_id: '7426'
abstract:
- lang: eng
  text: This paper presents a novel abstraction technique for analyzing Lyapunov and
    asymptotic stability of polyhedral switched systems. A polyhedral switched system
    is a hybrid system in which the continuous dynamics is specified by polyhedral
    differential inclusions, the invariants and guards are specified by polyhedral
    sets and the switching between the modes do not involve reset of variables. A
    finite state weighted graph abstracting the polyhedral switched system is constructed
    from a finite partition of the state–space, such that the satisfaction of certain
    graph conditions, such as the absence of cycles with product of weights on the
    edges greater than (or equal) to 1, implies the stability of the system. However,
    the graph is in general conservative and hence, the violation of the graph conditions
    does not imply instability. If the analysis fails to establish stability due to
    the conservativeness in the approximation, a counterexample (cycle with product
    of edge weights greater than or equal to 1) indicating a potential reason for
    the failure is returned. Further, a more precise approximation of the switched
    system can be constructed by considering a finer partition of the state–space
    in the construction of the finite weighted graph. We present experimental results
    on analyzing stability of switched systems using the above method.
article_number: '100856'
article_processing_charge: No
article_type: original
author:
- first_name: Miriam
  full_name: Garcia Soto, Miriam
  id: 4B3207F6-F248-11E8-B48F-1D18A9856A87
  last_name: Garcia Soto
  orcid: 0000−0003−2936−5719
- first_name: Pavithra
  full_name: Prabhakar, Pavithra
  last_name: Prabhakar
citation:
  ama: 'Garcia Soto M, Prabhakar P. Abstraction based verification of stability of
    polyhedral switched systems. <i>Nonlinear Analysis: Hybrid Systems</i>. 2020;36(5).
    doi:<a href="https://doi.org/10.1016/j.nahs.2020.100856">10.1016/j.nahs.2020.100856</a>'
  apa: 'Garcia Soto, M., &#38; Prabhakar, P. (2020). Abstraction based verification
    of stability of polyhedral switched systems. <i>Nonlinear Analysis: Hybrid Systems</i>.
    Elsevier. <a href="https://doi.org/10.1016/j.nahs.2020.100856">https://doi.org/10.1016/j.nahs.2020.100856</a>'
  chicago: 'Garcia Soto, Miriam, and Pavithra Prabhakar. “Abstraction Based Verification
    of Stability of Polyhedral Switched Systems.” <i>Nonlinear Analysis: Hybrid Systems</i>.
    Elsevier, 2020. <a href="https://doi.org/10.1016/j.nahs.2020.100856">https://doi.org/10.1016/j.nahs.2020.100856</a>.'
  ieee: 'M. Garcia Soto and P. Prabhakar, “Abstraction based verification of stability
    of polyhedral switched systems,” <i>Nonlinear Analysis: Hybrid Systems</i>, vol.
    36, no. 5. Elsevier, 2020.'
  ista: 'Garcia Soto M, Prabhakar P. 2020. Abstraction based verification of stability
    of polyhedral switched systems. Nonlinear Analysis: Hybrid Systems. 36(5), 100856.'
  mla: 'Garcia Soto, Miriam, and Pavithra Prabhakar. “Abstraction Based Verification
    of Stability of Polyhedral Switched Systems.” <i>Nonlinear Analysis: Hybrid Systems</i>,
    vol. 36, no. 5, 100856, Elsevier, 2020, doi:<a href="https://doi.org/10.1016/j.nahs.2020.100856">10.1016/j.nahs.2020.100856</a>.'
  short: 'M. Garcia Soto, P. Prabhakar, Nonlinear Analysis: Hybrid Systems 36 (2020).'
corr_author: '1'
date_created: 2020-02-02T23:00:59Z
date_published: 2020-05-01T00:00:00Z
date_updated: 2025-04-15T06:26:15Z
day: '01'
ddc:
- '000'
department:
- _id: ToHe
doi: 10.1016/j.nahs.2020.100856
external_id:
  isi:
  - '000528828600003'
file:
- access_level: open_access
  checksum: 560abfddb53f9fe921b6744f59f2cfaa
  content_type: application/pdf
  creator: dernst
  date_created: 2020-10-21T13:16:45Z
  date_updated: 2022-05-16T22:30:04Z
  embargo: 2022-05-15
  file_id: '8688'
  file_name: 2020_NAHS_GarciaSoto.pdf
  file_size: 818774
  relation: main_file
file_date_updated: 2022-05-16T22:30:04Z
has_accepted_license: '1'
intvolume: '        36'
isi: 1
issue: '5'
language:
- iso: eng
license: https://creativecommons.org/licenses/by-nc-nd/4.0/
month: '05'
oa: 1
oa_version: Submitted Version
project:
- _id: 25863FF4-B435-11E9-9278-68D0E5697425
  call_identifier: FWF
  grant_number: S11407
  name: Game Theory
- _id: 25F42A32-B435-11E9-9278-68D0E5697425
  call_identifier: FWF
  grant_number: Z211
  name: Formal methods for the design and analysis of complex systems
publication: 'Nonlinear Analysis: Hybrid Systems'
publication_identifier:
  issn:
  - 1751-570X
publication_status: published
publisher: Elsevier
quality_controlled: '1'
scopus_import: '1'
status: public
title: Abstraction based verification of stability of polyhedral switched systems
tmp:
  image: /images/cc_by_nc_nd.png
  legal_code_url: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
  name: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
    (CC BY-NC-ND 4.0)
  short: CC BY-NC-ND (4.0)
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 36
year: '2020'
...
---
_id: '7161'
abstract:
- lang: eng
  text: In this paper, we introduce an inertial projection-type method with different
    updating strategies for solving quasi-variational inequalities with strongly monotone
    and Lipschitz continuous operators in real Hilbert spaces. Under standard assumptions,
    we establish different strong convergence results for the proposed algorithm.
    Primary numerical experiments demonstrate the potential applicability of our scheme
    compared with some related methods in the literature.
acknowledgement: We are grateful to the anonymous referees and editor whose insightful
  comments helped to considerably improve an earlier version of this paper. The research
  of the first author is supported by an ERC Grant from the Institute of Science and
  Technology (IST).
article_processing_charge: No
article_type: original
author:
- first_name: Yekini
  full_name: Shehu, Yekini
  id: 3FC7CB58-F248-11E8-B48F-1D18A9856A87
  last_name: Shehu
  orcid: 0000-0001-9224-7139
- first_name: Aviv
  full_name: Gibali, Aviv
  last_name: Gibali
- first_name: Simone
  full_name: Sagratella, Simone
  last_name: Sagratella
citation:
  ama: Shehu Y, Gibali A, Sagratella S. Inertial projection-type methods for solving
    quasi-variational inequalities in real Hilbert spaces. <i>Journal of Optimization
    Theory and Applications</i>. 2020;184:877–894. doi:<a href="https://doi.org/10.1007/s10957-019-01616-6">10.1007/s10957-019-01616-6</a>
  apa: Shehu, Y., Gibali, A., &#38; Sagratella, S. (2020). Inertial projection-type
    methods for solving quasi-variational inequalities in real Hilbert spaces. <i>Journal
    of Optimization Theory and Applications</i>. Springer Nature. <a href="https://doi.org/10.1007/s10957-019-01616-6">https://doi.org/10.1007/s10957-019-01616-6</a>
  chicago: Shehu, Yekini, Aviv Gibali, and Simone Sagratella. “Inertial Projection-Type
    Methods for Solving Quasi-Variational Inequalities in Real Hilbert Spaces.” <i>Journal
    of Optimization Theory and Applications</i>. Springer Nature, 2020. <a href="https://doi.org/10.1007/s10957-019-01616-6">https://doi.org/10.1007/s10957-019-01616-6</a>.
  ieee: Y. Shehu, A. Gibali, and S. Sagratella, “Inertial projection-type methods
    for solving quasi-variational inequalities in real Hilbert spaces,” <i>Journal
    of Optimization Theory and Applications</i>, vol. 184. Springer Nature, pp. 877–894,
    2020.
  ista: Shehu Y, Gibali A, Sagratella S. 2020. Inertial projection-type methods for
    solving quasi-variational inequalities in real Hilbert spaces. Journal of Optimization
    Theory and Applications. 184, 877–894.
  mla: Shehu, Yekini, et al. “Inertial Projection-Type Methods for Solving Quasi-Variational
    Inequalities in Real Hilbert Spaces.” <i>Journal of Optimization Theory and Applications</i>,
    vol. 184, Springer Nature, 2020, pp. 877–894, doi:<a href="https://doi.org/10.1007/s10957-019-01616-6">10.1007/s10957-019-01616-6</a>.
  short: Y. Shehu, A. Gibali, S. Sagratella, Journal of Optimization Theory and Applications
    184 (2020) 877–894.
date_created: 2019-12-09T21:33:44Z
date_published: 2020-03-01T00:00:00Z
date_updated: 2024-11-04T13:52:44Z
day: '01'
ddc:
- '518'
- '510'
- '515'
department:
- _id: VlKo
doi: 10.1007/s10957-019-01616-6
ec_funded: 1
external_id:
  isi:
  - '000511805200009'
file:
- access_level: open_access
  checksum: 9f6dc6c6bf2b48cb3a2091a9ed5feaf2
  content_type: application/pdf
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  date_created: 2020-10-12T10:40:27Z
  date_updated: 2021-03-16T23:30:04Z
  embargo: 2021-03-15
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  file_name: 2020_JourOptimizationTheoryApplic_Shehu.pdf
  file_size: 332641
  relation: main_file
file_date_updated: 2021-03-16T23:30:04Z
has_accepted_license: '1'
intvolume: '       184'
isi: 1
language:
- iso: eng
month: '03'
oa: 1
oa_version: Submitted Version
page: 877–894
project:
- _id: 25FBA906-B435-11E9-9278-68D0E5697425
  call_identifier: FP7
  grant_number: '616160'
  name: 'Discrete Optimization in Computer Vision: Theory and Practice'
publication: Journal of Optimization Theory and Applications
publication_identifier:
  eissn:
  - 1573-2878
  issn:
  - 0022-3239
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: Inertial projection-type methods for solving quasi-variational inequalities
  in real Hilbert spaces
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 184
year: '2020'
...
---
OA_place: publisher
OA_type: hybrid
_id: '8002'
abstract:
- lang: eng
  text: Wound healing in plant tissues, consisting of rigid cell wall-encapsulated
    cells, represents a considerable challenge and occurs through largely unknown
    mechanisms distinct from those in animals. Owing to their inability to migrate,
    plant cells rely on targeted cell division and expansion to regenerate wounds.
    Strict coordination of these wound-induced responses is essential to ensure efficient,
    spatially restricted wound healing. Single-cell tracking by live imaging allowed
    us to gain mechanistic insight into the wound perception and coordination of wound
    responses after laser-based wounding in Arabidopsis root. We revealed a crucial
    contribution of the collapse of damaged cells in wound perception and detected
    an auxin increase specific to cells immediately adjacent to the wound. This localized
    auxin increase balances wound-induced cell expansion and restorative division
    rates in a dose-dependent manner, leading to tumorous overproliferation when the
    canonical TIR1 auxin signaling is disrupted. Auxin and wound-induced turgor pressure
    changes together also spatially define the activation of key components of regeneration,
    such as the transcription regulator ERF115. Our observations suggest that the
    wound signaling involves the sensing of collapse of damaged cells and a local
    auxin signaling activation to coordinate the downstream transcriptional responses
    in the immediate wound vicinity.
acknowledged_ssus:
- _id: Bio
- _id: LifeSc
article_number: '202003346'
article_processing_charge: Yes (in subscription journal)
article_type: original
author:
- first_name: Lukas
  full_name: Hörmayer, Lukas
  id: 2EEE7A2A-F248-11E8-B48F-1D18A9856A87
  last_name: Hörmayer
  orcid: 0000-0001-8295-2926
- first_name: Juan C
  full_name: Montesinos López, Juan C
  id: 310A8E3E-F248-11E8-B48F-1D18A9856A87
  last_name: Montesinos López
  orcid: 0000-0001-9179-6099
- first_name: Petra
  full_name: Marhavá, Petra
  id: 44E59624-F248-11E8-B48F-1D18A9856A87
  last_name: Marhavá
- first_name: Eva
  full_name: Benková, Eva
  id: 38F4F166-F248-11E8-B48F-1D18A9856A87
  last_name: Benková
  orcid: 0000-0002-8510-9739
- first_name: Saiko
  full_name: Yoshida, Saiko
  id: 2E46069C-F248-11E8-B48F-1D18A9856A87
  last_name: Yoshida
  orcid: 0000-0001-6111-9353
- first_name: Jiří
  full_name: Friml, Jiří
  id: 4159519E-F248-11E8-B48F-1D18A9856A87
  last_name: Friml
  orcid: 0000-0002-8302-7596
citation:
  ama: Hörmayer L, Montesinos López JC, Marhavá P, Benková E, Yoshida S, Friml J.
    Wounding-induced changes in cellular pressure and localized auxin signalling spatially
    coordinate restorative divisions in roots. <i>Proceedings of the National Academy
    of Sciences of the United States of America</i>. 2020;117(26). doi:<a href="https://doi.org/10.1073/pnas.2003346117">10.1073/pnas.2003346117</a>
  apa: Hörmayer, L., Montesinos López, J. C., Marhavá, P., Benková, E., Yoshida, S.,
    &#38; Friml, J. (2020). Wounding-induced changes in cellular pressure and localized
    auxin signalling spatially coordinate restorative divisions in roots. <i>Proceedings
    of the National Academy of Sciences of the United States of America</i>. National
    Academy of Sciences. <a href="https://doi.org/10.1073/pnas.2003346117">https://doi.org/10.1073/pnas.2003346117</a>
  chicago: Hörmayer, Lukas, Juan C Montesinos López, Petra Marhavá, Eva Benková, Saiko
    Yoshida, and Jiří Friml. “Wounding-Induced Changes in Cellular Pressure and Localized
    Auxin Signalling Spatially Coordinate Restorative Divisions in Roots.” <i>Proceedings
    of the National Academy of Sciences of the United States of America</i>. National
    Academy of Sciences, 2020. <a href="https://doi.org/10.1073/pnas.2003346117">https://doi.org/10.1073/pnas.2003346117</a>.
  ieee: L. Hörmayer, J. C. Montesinos López, P. Marhavá, E. Benková, S. Yoshida, and
    J. Friml, “Wounding-induced changes in cellular pressure and localized auxin signalling
    spatially coordinate restorative divisions in roots,” <i>Proceedings of the National
    Academy of Sciences of the United States of America</i>, vol. 117, no. 26. National
    Academy of Sciences, 2020.
  ista: Hörmayer L, Montesinos López JC, Marhavá P, Benková E, Yoshida S, Friml J.
    2020. Wounding-induced changes in cellular pressure and localized auxin signalling
    spatially coordinate restorative divisions in roots. Proceedings of the National
    Academy of Sciences of the United States of America. 117(26), 202003346.
  mla: Hörmayer, Lukas, et al. “Wounding-Induced Changes in Cellular Pressure and
    Localized Auxin Signalling Spatially Coordinate Restorative Divisions in Roots.”
    <i>Proceedings of the National Academy of Sciences of the United States of America</i>,
    vol. 117, no. 26, 202003346, National Academy of Sciences, 2020, doi:<a href="https://doi.org/10.1073/pnas.2003346117">10.1073/pnas.2003346117</a>.
  short: L. Hörmayer, J.C. Montesinos López, P. Marhavá, E. Benková, S. Yoshida, J.
    Friml, Proceedings of the National Academy of Sciences of the United States of
    America 117 (2020).
corr_author: '1'
date_created: 2020-06-22T13:33:52Z
date_published: 2020-06-30T00:00:00Z
date_updated: 2026-07-23T22:31:00Z
day: '30'
ddc:
- '580'
department:
- _id: JiFr
- _id: EvBe
doi: 10.1073/pnas.2003346117
ec_funded: 1
external_id:
  isi:
  - '000565729700033'
  pmid:
  - '32541049'
file:
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  file_size: 2407102
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file_date_updated: 2020-07-14T12:48:07Z
has_accepted_license: '1'
intvolume: '       117'
isi: 1
issue: '26'
language:
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month: '06'
oa: 1
oa_version: Published Version
pmid: 1
project:
- _id: 261099A6-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '742985'
  name: Tracing Evolution of Auxin Transport and Polarity in Plants
- _id: 262EF96E-B435-11E9-9278-68D0E5697425
  call_identifier: FWF
  grant_number: P29988
  name: RNA-directed DNA methylation in plant development
publication: Proceedings of the National Academy of Sciences of the United States
  of America
publication_identifier:
  eissn:
  - 1091-6490
  issn:
  - 0027-8424
publication_status: published
publisher: National Academy of Sciences
quality_controlled: '1'
related_material:
  link:
  - description: News on IST Homepage
    relation: press_release
    url: https://ist.ac.at/en/news/how-wounded-plants-coordinate-their-healing/
  record:
  - id: '9992'
    relation: dissertation_contains
    status: public
scopus_import: '1'
status: public
title: Wounding-induced changes in cellular pressure and localized auxin signalling
  spatially coordinate restorative divisions in roots
tmp:
  image: /images/cc_by_nc_nd.png
  legal_code_url: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
  name: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
    (CC BY-NC-ND 4.0)
  short: CC BY-NC-ND (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 117
year: '2020'
...
---
OA_place: publisher
_id: '7258'
abstract:
- lang: eng
  text: Many flows encountered in nature and applications are characterized by a chaotic
    motion known as turbulence. Turbulent flows generate intense friction with pipe
    walls and are responsible for considerable amounts of energy losses at world scale.
    The nature of turbulent friction and techniques aimed at reducing it have been
    subject of extensive research over the last century, but no definite answer has
    been found yet. In this thesis we show that in pipes at moderate turbulent Reynolds
    numbers friction is better described by the power law first introduced by Blasius
    and not by the Prandtl–von Kármán formula. At higher Reynolds numbers, large scale
    motions gradually become more important in the flow and can be related to the
    change in scaling of friction. Next, we present a series of new techniques that
    can relaminarize turbulence by suppressing a key mechanism that regenerates it
    at walls, the lift–up effect. In addition, we investigate the process of turbulence
    decay in several experiments and discuss the drag reduction potential. Finally,
    we examine the behavior of friction under pulsating conditions inspired by the
    human heart cycle and we show that under such circumstances turbulent friction
    can be reduced to produce energy savings.
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Davide
  full_name: Scarselli, Davide
  id: 40315C30-F248-11E8-B48F-1D18A9856A87
  last_name: Scarselli
  orcid: 0000-0001-5227-4271
citation:
  ama: Scarselli D. New approaches to reduce friction in turbulent pipe flow. 2020.
    doi:<a href="https://doi.org/10.15479/AT:ISTA:7258">10.15479/AT:ISTA:7258</a>
  apa: Scarselli, D. (2020). <i>New approaches to reduce friction in turbulent pipe
    flow</i>. Institute of Science and Technology Austria. <a href="https://doi.org/10.15479/AT:ISTA:7258">https://doi.org/10.15479/AT:ISTA:7258</a>
  chicago: Scarselli, Davide. “New Approaches to Reduce Friction in Turbulent Pipe
    Flow.” Institute of Science and Technology Austria, 2020. <a href="https://doi.org/10.15479/AT:ISTA:7258">https://doi.org/10.15479/AT:ISTA:7258</a>.
  ieee: D. Scarselli, “New approaches to reduce friction in turbulent pipe flow,”
    Institute of Science and Technology Austria, 2020.
  ista: Scarselli D. 2020. New approaches to reduce friction in turbulent pipe flow.
    Institute of Science and Technology Austria.
  mla: Scarselli, Davide. <i>New Approaches to Reduce Friction in Turbulent Pipe Flow</i>.
    Institute of Science and Technology Austria, 2020, doi:<a href="https://doi.org/10.15479/AT:ISTA:7258">10.15479/AT:ISTA:7258</a>.
  short: D. Scarselli, New Approaches to Reduce Friction in Turbulent Pipe Flow, Institute
    of Science and Technology Austria, 2020.
corr_author: '1'
date_created: 2020-01-12T16:07:26Z
date_published: 2020-01-13T00:00:00Z
date_updated: 2026-04-08T07:28:22Z
day: '13'
ddc:
- '532'
degree_awarded: PhD
department:
- _id: BjHo
doi: 10.15479/AT:ISTA:7258
ec_funded: 1
file:
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  checksum: 4df1ab24e9896635106adde5a54615bf
  content_type: application/zip
  creator: dscarsel
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  embargo_to: open_access
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  file_size: 26640830
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  date_updated: 2021-01-13T23:30:05Z
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  file_id: '7260'
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file_date_updated: 2021-01-13T23:30:05Z
has_accepted_license: '1'
language:
- iso: eng
month: '01'
oa: 1
oa_version: None
page: '174'
project:
- _id: 25152F3A-B435-11E9-9278-68D0E5697425
  call_identifier: FP7
  grant_number: '306589'
  name: Decoding the complexity of turbulence at its origin
- _id: 25104D44-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '737549'
  name: Eliminating turbulence in oil pipelines
- _id: 25136C54-B435-11E9-9278-68D0E5697425
  grant_number: HO 4393/1-2
  name: Experimental studies of the turbulence transition and transport processes
    in turbulent Taylor-Couette currents
publication_identifier:
  issn:
  - 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
related_material:
  record:
  - id: '422'
    relation: part_of_dissertation
    status: public
  - id: '461'
    relation: part_of_dissertation
    status: public
  - id: '6228'
    relation: part_of_dissertation
    status: public
  - id: '6486'
    relation: part_of_dissertation
    status: public
status: public
supervisor:
- first_name: Björn
  full_name: Hof, Björn
  id: 3A374330-F248-11E8-B48F-1D18A9856A87
  last_name: Hof
  orcid: 0000-0003-2057-2754
title: New approaches to reduce friction in turbulent pipe flow
type: dissertation
user_id: ba8df636-2132-11f1-aed0-ed93e2281fdd
year: '2020'
...
---
OA_place: publisher
_id: '8657'
abstract:
- lang: eng
  text: "Synthesis of proteins – translation – is a fundamental process of life. Quantitative
    studies anchor translation into the context of bacterial physiology and reveal
    several mathematical relationships, called “growth laws,” which capture physiological
    feedbacks between protein synthesis and cell growth. Growth laws describe the
    dependency of the ribosome abundance as a function of growth rate, which can change
    depending on the growth conditions. Perturbations of translation reveal that bacteria
    employ a compensatory strategy in which the reduced translation capability results
    in increased expression of the translation machinery.\r\nPerturbations of translation
    are achieved in various ways; clinically interesting is the application of translation-targeting
    antibiotics – translation inhibitors. The antibiotic effects on bacterial physiology
    are often poorly understood. Bacterial responses to two or more simultaneously
    applied antibiotics are even more puzzling. The combined antibiotic effect determines
    the type of drug interaction, which ranges from synergy (the effect is stronger
    than expected) to antagonism (the effect is weaker) and suppression (one of the
    drugs loses its potency).\r\nIn the first part of this work, we systematically
    measure the pairwise interaction network for translation inhibitors that interfere
    with different steps in translation. We find that the interactions are surprisingly
    diverse and tend to be more antagonistic. To explore the underlying mechanisms,
    we begin with a minimal biophysical model of combined antibiotic action. We base
    this model on the kinetics of antibiotic uptake and binding together with the
    physiological response described by the growth laws. The biophysical model explains
    some drug interactions, but not all; it specifically fails to predict suppression.\r\nIn
    the second part of this work, we hypothesize that elusive suppressive drug interactions
    result from the interplay between ribosomes halted in different stages of translation.
    To elucidate this putative mechanism of drug interactions between translation
    inhibitors, we generate translation bottlenecks genetically using in- ducible
    control of translation factors that regulate well-defined translation cycle steps.
    These perturbations accurately mimic antibiotic action and drug interactions,
    supporting that the interplay of different translation bottlenecks partially causes
    these interactions.\r\nWe extend this approach by varying two translation bottlenecks
    simultaneously. This approach reveals the suppression of translocation inhibition
    by inhibited translation. We rationalize this effect by modeling dense traffic
    of ribosomes that move on transcripts in a translation factor-mediated manner.
    This model predicts a dissolution of traffic jams caused by inhibited translocation
    when the density of ribosome traffic is reduced by lowered initiation. We base
    this model on the growth laws and quantitative relationships between different
    translation and growth parameters.\r\nIn the final part of this work, we describe
    a set of tools aimed at quantification of physiological and translation parameters.
    We further develop a simple model that directly connects the abundance of a translation
    factor with the growth rate, which allows us to extract physiological parameters
    describing initiation. We demonstrate the development of tools for measuring translation
    rate.\r\nThis thesis showcases how a combination of high-throughput growth rate
    mea- surements, genetics, and modeling can reveal mechanisms of drug interactions.
    Furthermore, by a gradual transition from combinations of antibiotics to precise
    genetic interventions, we demonstrated the equivalency between genetic and chemi-
    cal perturbations of translation. These findings tile the path for quantitative
    studies of antibiotic combinations and illustrate future approaches towards the
    quantitative description of translation."
acknowledged_ssus:
- _id: LifeSc
- _id: M-Shop
acknowledgement: I thank Life Science Facilities for their continuous support with
  providing top-notch laboratory materials, keeping the devices humming, and coordinating
  the repairs and building of custom-designed laboratory equipment with the MIBA Machine
  shop.
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Bor
  full_name: Kavcic, Bor
  id: 350F91D2-F248-11E8-B48F-1D18A9856A87
  last_name: Kavcic
  orcid: 0000-0001-6041-254X
citation:
  ama: 'Kavcic B. Perturbations of protein synthesis: from antibiotics to genetics
    and physiology. 2020. doi:<a href="https://doi.org/10.15479/AT:ISTA:8657">10.15479/AT:ISTA:8657</a>'
  apa: 'Kavcic, B. (2020). <i>Perturbations of protein synthesis: from antibiotics
    to genetics and physiology</i>. Institute of Science and Technology Austria. <a
    href="https://doi.org/10.15479/AT:ISTA:8657">https://doi.org/10.15479/AT:ISTA:8657</a>'
  chicago: 'Kavcic, Bor. “Perturbations of Protein Synthesis: From Antibiotics to
    Genetics and Physiology.” Institute of Science and Technology Austria, 2020. <a
    href="https://doi.org/10.15479/AT:ISTA:8657">https://doi.org/10.15479/AT:ISTA:8657</a>.'
  ieee: 'B. Kavcic, “Perturbations of protein synthesis: from antibiotics to genetics
    and physiology,” Institute of Science and Technology Austria, 2020.'
  ista: 'Kavcic B. 2020. Perturbations of protein synthesis: from antibiotics to genetics
    and physiology. Institute of Science and Technology Austria.'
  mla: 'Kavcic, Bor. <i>Perturbations of Protein Synthesis: From Antibiotics to Genetics
    and Physiology</i>. Institute of Science and Technology Austria, 2020, doi:<a
    href="https://doi.org/10.15479/AT:ISTA:8657">10.15479/AT:ISTA:8657</a>.'
  short: 'B. Kavcic, Perturbations of Protein Synthesis: From Antibiotics to Genetics
    and Physiology, Institute of Science and Technology Austria, 2020.'
corr_author: '1'
date_created: 2020-10-13T16:46:14Z
date_published: 2020-10-14T00:00:00Z
date_updated: 2026-07-06T12:44:35Z
day: '14'
ddc:
- '571'
- '530'
- '570'
degree_awarded: PhD
department:
- _id: GaTk
doi: 10.15479/AT:ISTA:8657
file:
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  checksum: d708ecd62b6fcc3bc1feb483b8dbe9eb
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  creator: bkavcic
  date_created: 2020-10-15T06:41:20Z
  date_updated: 2021-10-07T22:30:03Z
  embargo: 2021-10-06
  file_id: '8663'
  file_name: kavcicB_thesis202009.pdf
  file_size: 52636162
  relation: main_file
- access_level: closed
  checksum: bb35f2352a04db19164da609f00501f3
  content_type: application/zip
  creator: bkavcic
  date_created: 2020-10-15T06:41:53Z
  date_updated: 2021-10-07T22:30:03Z
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  file_id: '8664'
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file_date_updated: 2021-10-07T22:30:03Z
has_accepted_license: '1'
language:
- iso: eng
month: '10'
oa: 1
oa_version: Published Version
page: '271'
publication_identifier:
  isbn:
  - 978-3-99078-011-4
  issn:
  - 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
related_material:
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    relation: part_of_dissertation
    status: public
  - id: '7673'
    relation: part_of_dissertation
    status: public
status: public
supervisor:
- first_name: Gašper
  full_name: Tkačik, Gašper
  id: 3D494DCA-F248-11E8-B48F-1D18A9856A87
  last_name: Tkačik
  orcid: 0000-0002-6699-1455
- first_name: Mark Tobias
  full_name: Bollenbach, Mark Tobias
  id: 3E6DB97A-F248-11E8-B48F-1D18A9856A87
  last_name: Bollenbach
  orcid: 0000-0003-4398-476X
title: 'Perturbations of protein synthesis: from antibiotics to genetics and physiology'
type: dissertation
user_id: ba8df636-2132-11f1-aed0-ed93e2281fdd
year: '2020'
...
---
OA_place: publisher
_id: '8620'
abstract:
- lang: eng
  text: "The development of the human brain occurs through a tightly regulated series
    of dynamic and adaptive processes during prenatal and postnatal life. A disruption
    of this strictly orchestrated series of events can lead to a number of neurodevelopmental
    conditions, including Autism Spectrum Disorders (ASDs). ASDs are a very common,
    etiologically and phenotypically heterogeneous group of disorders sharing the
    core symptoms of social interaction and communication deficits and restrictive
    and repetitive interests and behaviors. They are estimated to affect one in 59
    individuals in the U.S. and, over the last three decades, mutations in more than
    a hundred genetic loci have been convincingly linked to ASD pathogenesis. Yet,
    for the vast majority of these ASD-risk genes their role during brain development
    and precise molecular function still remain elusive.\r\nDe novo loss of function
    mutations in the ubiquitin ligase-encoding gene Cullin 3 (CUL3) lead to ASD. In
    the study described here, we used Cul3 mouse models to evaluate the consequences
    of Cul3 mutations in vivo. Our results show that Cul3 heterozygous knockout mice
    exhibit deficits in motor coordination as well as ASD-relevant social and cognitive
    impairments. Cul3+/-, Cul3+/fl Emx1-Cre and Cul3fl/fl Emx1-Cre mutant brains display
    cortical lamination abnormalities due to defective migration of post-mitotic excitatory
    neurons, as well as reduced numbers of excitatory and inhibitory neurons. In line
    with the observed abnormal cortical organization, Cul3 heterozygous deletion is
    associated with decreased spontaneous excitatory and inhibitory activity in the
    cortex. At the molecular level we show that Cul3 regulates cytoskeletal and adhesion
    protein abundance in the mouse embryonic cortex. Abnormal regulation of cytoskeletal
    proteins in Cul3 mutant neural cells results in atypical organization of the actin
    mesh at the cell leading edge. Of note, heterozygous deletion of Cul3 in adult
    mice does not induce the majority of the behavioral defects observed in constitutive
    Cul3 haploinsufficient animals, pointing to a critical time-window for Cul3 deficiency.\r\nIn
    conclusion, our data indicate that Cul3 plays a critical role in the regulation
    of cytoskeletal proteins and neuronal migration. ASD-associated defects and behavioral
    abnormalities are primarily due to dosage sensitive Cul3 functions at early brain
    developmental stages."
acknowledged_ssus:
- _id: Bio
- _id: PreCl
acknowledgement: I would like to especially thank Armel Nicolas from the Proteomics
  and Christoph Sommer from the Bioimaging Facilities for the data analysis, and to
  thank the team of the Preclinical Facility, especially Sabina Deixler, Angela Schlerka,
  Anita Lepold, Mihalea Mihai and Michael Schun for taking care of the mouse line
  maintenance and their great support.
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Jasmin
  full_name: Morandell, Jasmin
  id: 4739D480-F248-11E8-B48F-1D18A9856A87
  last_name: Morandell
citation:
  ama: Morandell J. Illuminating the role of Cul3 in autism spectrum disorder pathogenesis.
    2020. doi:<a href="https://doi.org/10.15479/AT:ISTA:8620">10.15479/AT:ISTA:8620</a>
  apa: Morandell, J. (2020). <i>Illuminating the role of Cul3 in autism spectrum disorder
    pathogenesis</i>. Institute of Science and Technology Austria. <a href="https://doi.org/10.15479/AT:ISTA:8620">https://doi.org/10.15479/AT:ISTA:8620</a>
  chicago: Morandell, Jasmin. “Illuminating the Role of Cul3 in Autism Spectrum Disorder
    Pathogenesis.” Institute of Science and Technology Austria, 2020. <a href="https://doi.org/10.15479/AT:ISTA:8620">https://doi.org/10.15479/AT:ISTA:8620</a>.
  ieee: J. Morandell, “Illuminating the role of Cul3 in autism spectrum disorder pathogenesis,”
    Institute of Science and Technology Austria, 2020.
  ista: Morandell J. 2020. Illuminating the role of Cul3 in autism spectrum disorder
    pathogenesis. Institute of Science and Technology Austria.
  mla: Morandell, Jasmin. <i>Illuminating the Role of Cul3 in Autism Spectrum Disorder
    Pathogenesis</i>. Institute of Science and Technology Austria, 2020, doi:<a href="https://doi.org/10.15479/AT:ISTA:8620">10.15479/AT:ISTA:8620</a>.
  short: J. Morandell, Illuminating the Role of Cul3 in Autism Spectrum Disorder Pathogenesis,
    Institute of Science and Technology Austria, 2020.
corr_author: '1'
date_created: 2020-10-07T14:53:13Z
date_published: 2020-10-12T00:00:00Z
date_updated: 2026-07-06T12:41:28Z
day: '12'
ddc:
- '610'
degree_awarded: PhD
department:
- _id: GaNo
doi: 10.15479/AT:ISTA:8620
file:
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  date_created: 2020-10-07T14:41:49Z
  date_updated: 2021-10-16T22:30:04Z
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  date_updated: 2021-10-16T22:30:04Z
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file_date_updated: 2021-10-16T22:30:04Z
has_accepted_license: '1'
language:
- iso: eng
month: '10'
oa: 1
oa_version: Published Version
page: '138'
project:
- _id: 2548AE96-B435-11E9-9278-68D0E5697425
  call_identifier: FWF
  grant_number: W1232
  name: Molecular Drug Targets
- _id: 05A0D778-7A3F-11EA-A408-12923DDC885E
  grant_number: F7807
  name: Stem Cell Modulation in Neural Development and Regeneration/ P07-Neural stem
    cells in autism and epilepsy
publication_identifier:
  issn:
  - 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
related_material:
  record:
  - id: '8131'
    relation: part_of_dissertation
    status: public
  - id: '7800'
    relation: part_of_dissertation
    status: public
status: public
supervisor:
- first_name: Gaia
  full_name: Novarino, Gaia
  id: 3E57A680-F248-11E8-B48F-1D18A9856A87
  last_name: Novarino
  orcid: 0000-0002-7673-7178
title: Illuminating the role of Cul3 in autism spectrum disorder pathogenesis
type: dissertation
user_id: ba8df636-2132-11f1-aed0-ed93e2281fdd
year: '2020'
...
---
_id: '8569'
abstract:
- lang: eng
  text: Concerted radial migration of newly born cortical projection neurons, from
    their birthplace to their final target lamina, is a key step in the assembly of
    the cerebral cortex. The cellular and molecular mechanisms regulating the specific
    sequential steps of radial neuronal migration in vivo are however still unclear,
    let alone the effects and interactions with the extracellular environment. In
    any in vivo context, cells will always be exposed to a complex extracellular environment
    consisting of (1) secreted factors acting as potential signaling cues, (2) the
    extracellular matrix, and (3) other cells providing cell–cell interaction through
    receptors and/or direct physical stimuli. Most studies so far have described and
    focused mainly on intrinsic cell-autonomous gene functions in neuronal migration
    but there is accumulating evidence that non-cell-autonomous-, local-, systemic-,
    and/or whole tissue-wide effects substantially contribute to the regulation of
    radial neuronal migration. These non-cell-autonomous effects may differentially
    affect cortical neuron migration in distinct cellular environments. However, the
    cellular and molecular natures of such non-cell-autonomous mechanisms are mostly
    unknown. Furthermore, physical forces due to collective migration and/or community
    effects (i.e., interactions with surrounding cells) may play important roles in
    neocortical projection neuron migration. In this concise review, we first outline
    distinct models of non-cell-autonomous interactions of cortical projection neurons
    along their radial migration trajectory during development. We then summarize
    experimental assays and platforms that can be utilized to visualize and potentially
    probe non-cell-autonomous mechanisms. Lastly, we define key questions to address
    in the future.
acknowledgement: AH was a recipient of a DOC Fellowship (24812) of the Austrian Academy
  of Sciences. This work also received support from IST Austria institutional funds;
  the People Programme (Marie Curie Actions) of the European Union’s Seventh Framework
  Programme (FP7/2007–2013) under REA Grant Agreement No. 618444 to SH.
article_number: '574382'
article_processing_charge: Yes (via OA deal)
article_type: original
author:
- first_name: Andi H
  full_name: Hansen, Andi H
  id: 38853E16-F248-11E8-B48F-1D18A9856A87
  last_name: Hansen
- first_name: Simon
  full_name: Hippenmeyer, Simon
  id: 37B36620-F248-11E8-B48F-1D18A9856A87
  last_name: Hippenmeyer
  orcid: 0000-0003-2279-1061
citation:
  ama: Hansen AH, Hippenmeyer S. Non-cell-autonomous mechanisms in radial projection
    neuron migration in the developing cerebral cortex. <i>Frontiers in Cell and Developmental
    Biology</i>. 2020;8(9). doi:<a href="https://doi.org/10.3389/fcell.2020.574382">10.3389/fcell.2020.574382</a>
  apa: Hansen, A. H., &#38; Hippenmeyer, S. (2020). Non-cell-autonomous mechanisms
    in radial projection neuron migration in the developing cerebral cortex. <i>Frontiers
    in Cell and Developmental Biology</i>. Frontiers. <a href="https://doi.org/10.3389/fcell.2020.574382">https://doi.org/10.3389/fcell.2020.574382</a>
  chicago: Hansen, Andi H, and Simon Hippenmeyer. “Non-Cell-Autonomous Mechanisms
    in Radial Projection Neuron Migration in the Developing Cerebral Cortex.” <i>Frontiers
    in Cell and Developmental Biology</i>. Frontiers, 2020. <a href="https://doi.org/10.3389/fcell.2020.574382">https://doi.org/10.3389/fcell.2020.574382</a>.
  ieee: A. H. Hansen and S. Hippenmeyer, “Non-cell-autonomous mechanisms in radial
    projection neuron migration in the developing cerebral cortex,” <i>Frontiers in
    Cell and Developmental Biology</i>, vol. 8, no. 9. Frontiers, 2020.
  ista: Hansen AH, Hippenmeyer S. 2020. Non-cell-autonomous mechanisms in radial projection
    neuron migration in the developing cerebral cortex. Frontiers in Cell and Developmental
    Biology. 8(9), 574382.
  mla: Hansen, Andi H., and Simon Hippenmeyer. “Non-Cell-Autonomous Mechanisms in
    Radial Projection Neuron Migration in the Developing Cerebral Cortex.” <i>Frontiers
    in Cell and Developmental Biology</i>, vol. 8, no. 9, 574382, Frontiers, 2020,
    doi:<a href="https://doi.org/10.3389/fcell.2020.574382">10.3389/fcell.2020.574382</a>.
  short: A.H. Hansen, S. Hippenmeyer, Frontiers in Cell and Developmental Biology
    8 (2020).
corr_author: '1'
date_created: 2020-09-26T06:11:07Z
date_published: 2020-09-25T00:00:00Z
date_updated: 2026-07-23T22:31:02Z
day: '25'
ddc:
- '570'
department:
- _id: SiHi
doi: 10.3389/fcell.2020.574382
ec_funded: 1
external_id:
  isi:
  - '000577915900001'
  pmid:
  - '33102480'
file:
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  creator: dernst
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  date_updated: 2020-09-28T13:11:17Z
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  file_name: 2020_Frontiers_Hansen.pdf
  file_size: 5527139
  relation: main_file
  success: 1
file_date_updated: 2020-09-28T13:11:17Z
has_accepted_license: '1'
intvolume: '         8'
isi: 1
issue: '9'
language:
- iso: eng
month: '09'
oa: 1
oa_version: Published Version
pmid: 1
project:
- _id: 2625A13E-B435-11E9-9278-68D0E5697425
  grant_number: '24812'
  name: Molecular mechanisms of radial neuronal migration
- _id: 25D61E48-B435-11E9-9278-68D0E5697425
  call_identifier: FP7
  grant_number: '618444'
  name: Molecular Mechanisms of Cerebral Cortex Development
publication: Frontiers in Cell and Developmental Biology
publication_identifier:
  issn:
  - 2296-634X
publication_status: published
publisher: Frontiers
quality_controlled: '1'
related_material:
  record:
  - id: '9962'
    relation: dissertation_contains
    status: public
scopus_import: '1'
status: public
title: Non-cell-autonomous mechanisms in radial projection neuron migration in the
  developing cerebral cortex
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
  short: CC BY (4.0)
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 8
year: '2020'
...
---
_id: '7800'
abstract:
- lang: eng
  text: De novo loss of function mutations in the ubiquitin ligase-encoding gene Cullin3
    (CUL3) lead to autism spectrum disorder (ASD). Here, we used Cul3 mouse models
    to evaluate the consequences of Cul3 mutations in vivo. Our results show that
    Cul3 haploinsufficient mice exhibit deficits in motor coordination as well as
    ASD-relevant social and cognitive impairments. Cul3 mutant brain displays cortical
    lamination abnormalities due to defective neuronal migration and reduced numbers
    of excitatory and inhibitory neurons. In line with the observed abnormal columnar
    organization, Cul3 haploinsufficiency is associated with decreased spontaneous
    excitatory and inhibitory activity in the cortex. At the molecular level, employing
    a quantitative proteomic approach, we show that Cul3 regulates cytoskeletal and
    adhesion protein abundance in mouse embryos. Abnormal regulation of cytoskeletal
    proteins in Cul3 mutant neuronal cells results in atypical organization of the
    actin mesh at the cell leading edge, likely causing the observed migration deficits.
    In contrast to these important functions early in development, Cul3 deficiency
    appears less relevant at adult stages. In fact, induction of Cul3 haploinsufficiency
    in adult mice does not result in the behavioral defects observed in constitutive
    Cul3 haploinsufficient animals. Taken together, our data indicate that Cul3 has
    a critical role in the regulation of cytoskeletal proteins and neuronal migration
    and that ASD-associated defects and behavioral abnormalities are primarily due
    to Cul3 functions at early developmental stages.
acknowledged_ssus:
- _id: PreCl
article_processing_charge: No
author:
- first_name: Jasmin
  full_name: Morandell, Jasmin
  id: 4739D480-F248-11E8-B48F-1D18A9856A87
  last_name: Morandell
- first_name: Lena A
  full_name: Schwarz, Lena A
  id: 29A8453C-F248-11E8-B48F-1D18A9856A87
  last_name: Schwarz
- first_name: Bernadette
  full_name: Basilico, Bernadette
  id: 36035796-5ACA-11E9-A75E-7AF2E5697425
  last_name: Basilico
  orcid: 0000-0003-1843-3173
- first_name: Saren
  full_name: Tasciyan, Saren
  id: 4323B49C-F248-11E8-B48F-1D18A9856A87
  last_name: Tasciyan
  orcid: 0000-0003-1671-393X
- first_name: Armel
  full_name: Nicolas, Armel
  id: 2A103192-F248-11E8-B48F-1D18A9856A87
  last_name: Nicolas
- first_name: Christoph M
  full_name: Sommer, Christoph M
  id: 4DF26D8C-F248-11E8-B48F-1D18A9856A87
  last_name: Sommer
  orcid: 0000-0003-1216-9105
- first_name: Caroline
  full_name: Kreuzinger, Caroline
  id: 382077BA-F248-11E8-B48F-1D18A9856A87
  last_name: Kreuzinger
- first_name: Lisa
  full_name: Knaus, Lisa
  id: 3B2ABCF4-F248-11E8-B48F-1D18A9856A87
  last_name: Knaus
- first_name: Zoe
  full_name: Dobler, Zoe
  id: D23090A2-9057-11EA-883A-A8396FC7A38F
  last_name: Dobler
- first_name: Emanuele
  full_name: Cacci, Emanuele
  last_name: Cacci
- first_name: Johann G
  full_name: Danzl, Johann G
  id: 42EFD3B6-F248-11E8-B48F-1D18A9856A87
  last_name: Danzl
  orcid: 0000-0001-8559-3973
- first_name: Gaia
  full_name: Novarino, Gaia
  id: 3E57A680-F248-11E8-B48F-1D18A9856A87
  last_name: Novarino
  orcid: 0000-0002-7673-7178
citation:
  ama: Morandell J, Schwarz LA, Basilico B, et al. Cul3 regulates cytoskeleton protein
    homeostasis and cell migration during a critical window of brain development.
    <i>bioRxiv</i>. doi:<a href="https://doi.org/10.1101/2020.01.10.902064 ">10.1101/2020.01.10.902064
    </a>
  apa: Morandell, J., Schwarz, L. A., Basilico, B., Tasciyan, S., Nicolas, A., Sommer,
    C. M., … Novarino, G. (n.d.). Cul3 regulates cytoskeleton protein homeostasis
    and cell migration during a critical window of brain development. <i>bioRxiv</i>.
    <a href="https://doi.org/10.1101/2020.01.10.902064 ">https://doi.org/10.1101/2020.01.10.902064
    </a>
  chicago: Morandell, Jasmin, Lena A Schwarz, Bernadette Basilico, Saren Tasciyan,
    Armel Nicolas, Christoph M Sommer, Caroline Kreuzinger, et al. “Cul3 Regulates
    Cytoskeleton Protein Homeostasis and Cell Migration during a Critical Window of
    Brain Development.” <i>BioRxiv</i>, n.d. <a href="https://doi.org/10.1101/2020.01.10.902064
    ">https://doi.org/10.1101/2020.01.10.902064 </a>.
  ieee: J. Morandell <i>et al.</i>, “Cul3 regulates cytoskeleton protein homeostasis
    and cell migration during a critical window of brain development,” <i>bioRxiv</i>.
    .
  ista: Morandell J, Schwarz LA, Basilico B, Tasciyan S, Nicolas A, Sommer CM, Kreuzinger
    C, Knaus L, Dobler Z, Cacci E, Danzl JG, Novarino G. Cul3 regulates cytoskeleton
    protein homeostasis and cell migration during a critical window of brain development.
    bioRxiv, <a href="https://doi.org/10.1101/2020.01.10.902064 ">10.1101/2020.01.10.902064
    </a>.
  mla: Morandell, Jasmin, et al. “Cul3 Regulates Cytoskeleton Protein Homeostasis
    and Cell Migration during a Critical Window of Brain Development.” <i>BioRxiv</i>,
    doi:<a href="https://doi.org/10.1101/2020.01.10.902064 ">10.1101/2020.01.10.902064
    </a>.
  short: J. Morandell, L.A. Schwarz, B. Basilico, S. Tasciyan, A. Nicolas, C.M. Sommer,
    C. Kreuzinger, L. Knaus, Z. Dobler, E. Cacci, J.G. Danzl, G. Novarino, BioRxiv
    (n.d.).
corr_author: '1'
das_tickbox: '1'
date_created: 2020-05-05T14:31:33Z
date_published: 2020-01-11T00:00:00Z
date_updated: 2026-07-23T22:31:02Z
day: '11'
ddc:
- '570'
department:
- _id: JoDa
- _id: GaNo
- _id: LifeSc
doi: '10.1101/2020.01.10.902064 '
file:
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  checksum: c6799ab5daba80efe8e2ed63c15f8c81
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  date_updated: 2020-07-14T12:48:03Z
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  file_name: 2020.01.10.902064v1.full.pdf
  file_size: 2931370
  relation: main_file
file_date_updated: 2020-07-14T12:48:03Z
has_accepted_license: '1'
language:
- iso: eng
month: '01'
oa: 1
oa_version: Preprint
project:
- _id: 265CB4D0-B435-11E9-9278-68D0E5697425
  call_identifier: FWF
  grant_number: I03600
  name: Optical control of synaptic function via adhesion molecules
- _id: 2548AE96-B435-11E9-9278-68D0E5697425
  call_identifier: FWF
  grant_number: W1232
  name: Molecular Drug Targets
publication: bioRxiv
publication_status: draft
related_material:
  record:
  - id: '9429'
    relation: later_version
    status: public
  - id: '8620'
    relation: dissertation_contains
    status: public
status: public
title: Cul3 regulates cytoskeleton protein homeostasis and cell migration during a
  critical window of brain development
tmp:
  image: /images/cc_by_nc_nd.png
  legal_code_url: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
  name: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
    (CC BY-NC-ND 4.0)
  short: CC BY-NC-ND (4.0)
type: preprint
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2020'
...
---
_id: '8250'
abstract:
- lang: eng
  text: 'Antibiotics that interfere with translation, when combined, interact in diverse
    and difficult-to-predict ways. Here, we explain these interactions by “translation
    bottlenecks”: points in the translation cycle where antibiotics block ribosomal
    progression. To elucidate the underlying mechanisms of drug interactions between
    translation inhibitors, we generate translation bottlenecks genetically using
    inducible control of translation factors that regulate well-defined translation
    cycle steps. These perturbations accurately mimic antibiotic action and drug interactions,
    supporting that the interplay of different translation bottlenecks causes these
    interactions. We further show that growth laws, combined with drug uptake and
    binding kinetics, enable the direct prediction of a large fraction of observed
    interactions, yet fail to predict suppression. However, varying two translation
    bottlenecks simultaneously supports that dense traffic of ribosomes and competition
    for translation factors account for the previously unexplained suppression. These
    results highlight the importance of “continuous epistasis” in bacterial physiology.'
acknowledgement: "We thank M. Hennessey-Wesen, I. Tomanek, K. Jain, A. Staron, K.
  Tomasek, M. Scott,\r\nK.C. Huang, and Z. Gitai for reading the manuscript and constructive
  comments. B.K. is\r\nindebted to C. Guet for additional guidance and generous support,
  which rendered this\r\nwork possible. B.K. thanks all members of Guet group for
  many helpful discussions and\r\nsharing of resources. B.K. additionally acknowledges
  the tremendous support from A.\r\nAngermayr and K. Mitosch with experimental work.
  We further thank E. Brown for\r\nhelpful comments regarding lamotrigine, and A.
  Buskirk for valuable suggestions\r\nregarding the ribosome footprint size. This
  work was supported in part by Austrian\r\nScience Fund (FWF) standalone grants P
  27201-B22 (to T.B.) and P 28844 (to G.T.),\r\nHFSP program Grant RGP0042/2013 (to
  T.B.), German Research Foundation (DFG)\r\nstandalone grant BO 3502/2-1 (to T.B.),
  and German Research Foundation (DFG)\r\nCollaborative Research Centre (SFB) 1310
  (to T.B.). Open access funding provided by\r\nProjekt DEAL."
article_number: '4013'
article_processing_charge: No
article_type: original
author:
- first_name: Bor
  full_name: Kavcic, Bor
  id: 350F91D2-F248-11E8-B48F-1D18A9856A87
  last_name: Kavcic
  orcid: 0000-0001-6041-254X
- first_name: Gašper
  full_name: Tkačik, Gašper
  id: 3D494DCA-F248-11E8-B48F-1D18A9856A87
  last_name: Tkačik
  orcid: 0000-0002-6699-1455
- first_name: Tobias
  full_name: Bollenbach, Tobias
  id: 3E6DB97A-F248-11E8-B48F-1D18A9856A87
  last_name: Bollenbach
  orcid: 0000-0003-4398-476X
citation:
  ama: Kavcic B, Tkačik G, Bollenbach MT. Mechanisms of drug interactions between
    translation-inhibiting antibiotics. <i>Nature Communications</i>. 2020;11. doi:<a
    href="https://doi.org/10.1038/s41467-020-17734-z">10.1038/s41467-020-17734-z</a>
  apa: Kavcic, B., Tkačik, G., &#38; Bollenbach, M. T. (2020). Mechanisms of drug
    interactions between translation-inhibiting antibiotics. <i>Nature Communications</i>.
    Springer Nature. <a href="https://doi.org/10.1038/s41467-020-17734-z">https://doi.org/10.1038/s41467-020-17734-z</a>
  chicago: Kavcic, Bor, Gašper Tkačik, and Mark Tobias Bollenbach. “Mechanisms of
    Drug Interactions between Translation-Inhibiting Antibiotics.” <i>Nature Communications</i>.
    Springer Nature, 2020. <a href="https://doi.org/10.1038/s41467-020-17734-z">https://doi.org/10.1038/s41467-020-17734-z</a>.
  ieee: B. Kavcic, G. Tkačik, and M. T. Bollenbach, “Mechanisms of drug interactions
    between translation-inhibiting antibiotics,” <i>Nature Communications</i>, vol.
    11. Springer Nature, 2020.
  ista: Kavcic B, Tkačik G, Bollenbach MT. 2020. Mechanisms of drug interactions between
    translation-inhibiting antibiotics. Nature Communications. 11, 4013.
  mla: Kavcic, Bor, et al. “Mechanisms of Drug Interactions between Translation-Inhibiting
    Antibiotics.” <i>Nature Communications</i>, vol. 11, 4013, Springer Nature, 2020,
    doi:<a href="https://doi.org/10.1038/s41467-020-17734-z">10.1038/s41467-020-17734-z</a>.
  short: B. Kavcic, G. Tkačik, M.T. Bollenbach, Nature Communications 11 (2020).
date_created: 2020-08-12T09:13:50Z
date_published: 2020-08-11T00:00:00Z
date_updated: 2026-07-23T22:31:01Z
day: '11'
ddc:
- '570'
department:
- _id: GaTk
doi: 10.1038/s41467-020-17734-z
external_id:
  isi:
  - '000562769300008'
  pmid:
  - '32782250'
file:
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  creator: dernst
  date_created: 2020-08-17T07:36:57Z
  date_updated: 2020-08-17T07:36:57Z
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  file_name: 2020_NatureComm_Kavcic.pdf
  file_size: 1965672
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  success: 1
file_date_updated: 2020-08-17T07:36:57Z
has_accepted_license: '1'
intvolume: '        11'
isi: 1
language:
- iso: eng
month: '08'
oa: 1
oa_version: Published Version
pmid: 1
project:
- _id: 25E9AF9E-B435-11E9-9278-68D0E5697425
  call_identifier: FWF
  grant_number: P27201-B22
  name: Revealing the mechanisms underlying drug interactions
- _id: 254E9036-B435-11E9-9278-68D0E5697425
  call_identifier: FWF
  grant_number: P28844-B27
  name: Biophysics of information processing in gene regulation
publication: Nature Communications
publication_identifier:
  issn:
  - 2041-1723
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
related_material:
  record:
  - id: '8657'
    relation: dissertation_contains
    status: public
scopus_import: '1'
status: public
title: Mechanisms of drug interactions between translation-inhibiting antibiotics
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
  short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 11
year: '2020'
...
---
_id: '8131'
abstract:
- lang: eng
  text: The possibility to generate construct valid animal models enabled the development
    and testing of therapeutic strategies targeting the core features of autism spectrum
    disorders (ASDs). At the same time, these studies highlighted the necessity of
    identifying sensitive developmental time windows for successful therapeutic interventions.
    Animal and human studies also uncovered the possibility to stratify the variety
    of ASDs in molecularly distinct subgroups, potentially facilitating effective
    treatment design. Here, we focus on the molecular pathways emerging as commonly
    affected by mutations in diverse ASD-risk genes, on their role during critical
    windows of brain development and the potential treatments targeting these biological
    processes.
article_processing_charge: Yes (via OA deal)
article_type: original
author:
- first_name: Bernadette
  full_name: Basilico, Bernadette
  id: 36035796-5ACA-11E9-A75E-7AF2E5697425
  last_name: Basilico
  orcid: 0000-0003-1843-3173
- first_name: Jasmin
  full_name: Morandell, Jasmin
  id: 4739D480-F248-11E8-B48F-1D18A9856A87
  last_name: Morandell
- first_name: Gaia
  full_name: Novarino, Gaia
  id: 3E57A680-F248-11E8-B48F-1D18A9856A87
  last_name: Novarino
  orcid: 0000-0002-7673-7178
citation:
  ama: Basilico B, Morandell J, Novarino G. Molecular mechanisms for targeted ASD
    treatments. <i>Current Opinion in Genetics and Development</i>. 2020;65(12):126-137.
    doi:<a href="https://doi.org/10.1016/j.gde.2020.06.004">10.1016/j.gde.2020.06.004</a>
  apa: Basilico, B., Morandell, J., &#38; Novarino, G. (2020). Molecular mechanisms
    for targeted ASD treatments. <i>Current Opinion in Genetics and Development</i>.
    Elsevier. <a href="https://doi.org/10.1016/j.gde.2020.06.004">https://doi.org/10.1016/j.gde.2020.06.004</a>
  chicago: Basilico, Bernadette, Jasmin Morandell, and Gaia Novarino. “Molecular Mechanisms
    for Targeted ASD Treatments.” <i>Current Opinion in Genetics and Development</i>.
    Elsevier, 2020. <a href="https://doi.org/10.1016/j.gde.2020.06.004">https://doi.org/10.1016/j.gde.2020.06.004</a>.
  ieee: B. Basilico, J. Morandell, and G. Novarino, “Molecular mechanisms for targeted
    ASD treatments,” <i>Current Opinion in Genetics and Development</i>, vol. 65,
    no. 12. Elsevier, pp. 126–137, 2020.
  ista: Basilico B, Morandell J, Novarino G. 2020. Molecular mechanisms for targeted
    ASD treatments. Current Opinion in Genetics and Development. 65(12), 126–137.
  mla: Basilico, Bernadette, et al. “Molecular Mechanisms for Targeted ASD Treatments.”
    <i>Current Opinion in Genetics and Development</i>, vol. 65, no. 12, Elsevier,
    2020, pp. 126–37, doi:<a href="https://doi.org/10.1016/j.gde.2020.06.004">10.1016/j.gde.2020.06.004</a>.
  short: B. Basilico, J. Morandell, G. Novarino, Current Opinion in Genetics and Development
    65 (2020) 126–137.
corr_author: '1'
date_created: 2020-07-19T22:00:58Z
date_published: 2020-12-01T00:00:00Z
date_updated: 2026-07-23T22:31:02Z
day: '01'
ddc:
- '570'
department:
- _id: GaNo
doi: 10.1016/j.gde.2020.06.004
ec_funded: 1
external_id:
  isi:
  - '000598918900019'
  pmid:
  - '32659636'
file:
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  creator: dernst
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  date_updated: 2020-07-22T06:47:45Z
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  file_name: 2020_CurrentOpGenetics_Basilico.pdf
  file_size: 1381545
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intvolume: '        65'
isi: 1
issue: '12'
language:
- iso: eng
month: '12'
oa: 1
oa_version: Published Version
page: 126-137
pmid: 1
project:
- _id: 260C2330-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '754411'
  name: ISTplus - Postdoctoral Fellowships
- _id: 2548AE96-B435-11E9-9278-68D0E5697425
  call_identifier: FWF
  grant_number: W1232
  name: Molecular Drug Targets
- _id: 05A0D778-7A3F-11EA-A408-12923DDC885E
  grant_number: F7807
  name: Stem Cell Modulation in Neural Development and Regeneration/ P07-Neural stem
    cells in autism and epilepsy
publication: Current Opinion in Genetics and Development
publication_identifier:
  eissn:
  - 1879-0380
  issn:
  - 0959-437X
publication_status: published
publisher: Elsevier
quality_controlled: '1'
related_material:
  record:
  - id: '8620'
    relation: dissertation_contains
    status: public
scopus_import: '1'
status: public
title: Molecular mechanisms for targeted ASD treatments
tmp:
  image: /images/cc_by_nc_nd.png
  legal_code_url: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
  name: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
    (CC BY-NC-ND 4.0)
  short: CC BY-NC-ND (4.0)
type: journal_article
user_id: ba8df636-2132-11f1-aed0-ed93e2281fdd
volume: 65
year: '2020'
...
---
_id: '7673'
abstract:
- lang: eng
  text: Combining drugs can improve the efficacy of treatments. However, predicting
    the effect of drug combinations is still challenging. The combined potency of
    drugs determines the drug interaction, which is classified as synergistic, additive,
    antagonistic, or suppressive. While probabilistic, non-mechanistic models exist,
    there is currently no biophysical model that can predict antibiotic interactions.
    Here, we present a physiologically relevant model of the combined action of antibiotics
    that inhibit protein synthesis by targeting the ribosome. This model captures
    the kinetics of antibiotic binding and transport, and uses bacterial growth laws
    to predict growth in the presence of antibiotic combinations. We find that this
    biophysical model can produce all drug interaction types except suppression. We
    show analytically that antibiotics which cannot bind to the ribosome simultaneously
    generally act as substitutes for one another, leading to additive drug interactions.
    Previously proposed null expectations for higher-order drug interactions follow
    as a limiting case of our model. We further extend the model to include the effects
    of direct physical or allosteric interactions between individual drugs on the
    ribosome. Notably, such direct interactions profoundly change the combined drug
    effect, depending on the kinetic parameters of the drugs used. The model makes
    additional predictions for the effects of resistance genes on drug interactions
    and for interactions between ribosome-targeting antibiotics and antibiotics with
    other targets. These findings enhance our understanding of the interplay between
    drug action and cell physiology and are a key step toward a general framework
    for predicting drug interactions.
article_processing_charge: No
author:
- first_name: Bor
  full_name: Kavcic, Bor
  id: 350F91D2-F248-11E8-B48F-1D18A9856A87
  last_name: Kavcic
  orcid: 0000-0001-6041-254X
- first_name: Gašper
  full_name: Tkačik, Gašper
  id: 3D494DCA-F248-11E8-B48F-1D18A9856A87
  last_name: Tkačik
  orcid: 0000-0002-6699-1455
- first_name: Tobias
  full_name: Bollenbach, Tobias
  id: 3E6DB97A-F248-11E8-B48F-1D18A9856A87
  last_name: Bollenbach
  orcid: 0000-0003-4398-476X
citation:
  ama: Kavcic B, Tkačik G, Bollenbach MT. A minimal biophysical model of combined
    antibiotic action. <i>bioRxiv</i>. 2020. doi:<a href="https://doi.org/10.1101/2020.04.18.047886">10.1101/2020.04.18.047886</a>
  apa: Kavcic, B., Tkačik, G., &#38; Bollenbach, M. T. (2020). A minimal biophysical
    model of combined antibiotic action. <i>bioRxiv</i>. <a href="https://doi.org/10.1101/2020.04.18.047886">https://doi.org/10.1101/2020.04.18.047886</a>
  chicago: Kavcic, Bor, Gašper Tkačik, and Mark Tobias Bollenbach. “A Minimal Biophysical
    Model of Combined Antibiotic Action.” <i>BioRxiv</i>, 2020. <a href="https://doi.org/10.1101/2020.04.18.047886">https://doi.org/10.1101/2020.04.18.047886</a>.
  ieee: B. Kavcic, G. Tkačik, and M. T. Bollenbach, “A minimal biophysical model of
    combined antibiotic action,” <i>bioRxiv</i>. 2020.
  ista: Kavcic B, Tkačik G, Bollenbach MT. 2020. A minimal biophysical model of combined
    antibiotic action. bioRxiv, <a href="https://doi.org/10.1101/2020.04.18.047886">10.1101/2020.04.18.047886</a>.
  mla: Kavcic, Bor, et al. “A Minimal Biophysical Model of Combined Antibiotic Action.”
    <i>BioRxiv</i>, 2020, doi:<a href="https://doi.org/10.1101/2020.04.18.047886">10.1101/2020.04.18.047886</a>.
  short: B. Kavcic, G. Tkačik, M.T. Bollenbach, BioRxiv (2020).
das_tickbox: '1'
date_created: 2020-04-22T08:27:56Z
date_published: 2020-04-18T00:00:00Z
date_updated: 2026-07-23T22:31:01Z
day: '18'
department:
- _id: GaTk
doi: 10.1101/2020.04.18.047886
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: 'https://doi.org/10.1101/2020.04.18.047886 '
month: '04'
oa: 1
oa_version: Preprint
project:
- _id: 25E9AF9E-B435-11E9-9278-68D0E5697425
  call_identifier: FWF
  grant_number: P27201-B22
  name: Revealing the mechanisms underlying drug interactions
- _id: 254E9036-B435-11E9-9278-68D0E5697425
  call_identifier: FWF
  grant_number: P28844-B27
  name: Biophysics of information processing in gene regulation
publication: bioRxiv
publication_status: published
related_material:
  record:
  - id: '8997'
    relation: later_version
    status: public
  - id: '8657'
    relation: dissertation_contains
    status: public
status: public
title: A minimal biophysical model of combined antibiotic action
type: preprint
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2020'
...
---
_id: '9750'
abstract:
- lang: eng
  text: Tension of the actomyosin cell cortex plays a key role in determining cell-cell
    contact growth and size. The level of cortical tension outside of the cell-cell
    contact, when pulling at the contact edge, scales with the total size to which
    a cell-cell contact can grow1,2. Here we show in zebrafish primary germ layer
    progenitor cells that this monotonic relationship only applies to a narrow range
    of cortical tension increase, and that above a critical threshold, contact size
    inversely scales with cortical tension. This switch from cortical tension increasing
    to decreasing progenitor cell-cell contact size is caused by cortical tension
    promoting E-cadherin anchoring to the actomyosin cytoskeleton, thereby increasing
    clustering and stability of E-cadherin at the contact. Once tension-mediated E-cadherin
    stabilization at the contact exceeds a critical threshold level, the rate by which
    the contact expands in response to pulling forces from the cortex sharply drops,
    leading to smaller contacts at physiologically relevant timescales of contact
    formation. Thus, the activity of cortical tension in expanding cell-cell contact
    size is limited by tension stabilizing E-cadherin-actin complexes at the contact.
acknowledged_ssus:
- _id: Bio
- _id: EM-Fac
- _id: SSU
acknowledgement: We would like to thank Edouard Hannezo for discussions, Shayan Shami
  Pour and Daniel Capek for help with data analysis, Vanessa Barone and other members
  of the Heisenberg laboratory for thoughtful discussions and comments on the manuscript.
  We also thank Jack Merrin for preparing the microwells, and the Scientific Service
  Units at IST Austria, specifically Bioimaging and Electron Microscopy, and the Zebrafish
  Facility for continuous support. We acknowledge Hitoshi Morita for the kind gift
  of VinculinB-GFP plasmid. This research was supported by an ERC Advanced Grant (MECSPEC)
  to C.-P.H, EMBO Long Term grant (ALTF 187-2013) to M.S and IST Fellow Marie-Curie
  COFUND No. P_IST_EU01 to J.S.
article_processing_charge: No
author:
- first_name: Jana
  full_name: Slovakova, Jana
  id: 30F3F2F0-F248-11E8-B48F-1D18A9856A87
  last_name: Slovakova
- first_name: Mateusz K
  full_name: Sikora, Mateusz K
  id: 2F74BCDE-F248-11E8-B48F-1D18A9856A87
  last_name: Sikora
- first_name: Silvia
  full_name: Caballero Mancebo, Silvia
  id: 2F1E1758-F248-11E8-B48F-1D18A9856A87
  last_name: Caballero Mancebo
  orcid: 0000-0002-5223-3346
- first_name: Gabriel
  full_name: Krens, Gabriel
  id: 2B819732-F248-11E8-B48F-1D18A9856A87
  last_name: Krens
  orcid: 0000-0003-4761-5996
- first_name: Walter
  full_name: Kaufmann, Walter
  id: 3F99E422-F248-11E8-B48F-1D18A9856A87
  last_name: Kaufmann
  orcid: 0000-0001-9735-5315
- first_name: Karla
  full_name: Huljev, Karla
  id: 44C6F6A6-F248-11E8-B48F-1D18A9856A87
  last_name: Huljev
- first_name: Carl-Philipp J
  full_name: Heisenberg, Carl-Philipp J
  id: 39427864-F248-11E8-B48F-1D18A9856A87
  last_name: Heisenberg
  orcid: 0000-0002-0912-4566
citation:
  ama: Slovakova J, Sikora MK, Caballero Mancebo S, et al. Tension-dependent stabilization
    of E-cadherin limits cell-cell contact expansion. <i>bioRxiv</i>. 2020. doi:<a
    href="https://doi.org/10.1101/2020.11.20.391284">10.1101/2020.11.20.391284</a>
  apa: Slovakova, J., Sikora, M. K., Caballero Mancebo, S., Krens, G., Kaufmann, W.,
    Huljev, K., &#38; Heisenberg, C.-P. J. (2020). Tension-dependent stabilization
    of E-cadherin limits cell-cell contact expansion. <i>bioRxiv</i>. <a href="https://doi.org/10.1101/2020.11.20.391284">https://doi.org/10.1101/2020.11.20.391284</a>
  chicago: Slovakova, Jana, Mateusz K Sikora, Silvia Caballero Mancebo, Gabriel Krens,
    Walter Kaufmann, Karla Huljev, and Carl-Philipp J Heisenberg. “Tension-Dependent
    Stabilization of E-Cadherin Limits Cell-Cell Contact Expansion.” <i>BioRxiv</i>,
    2020. <a href="https://doi.org/10.1101/2020.11.20.391284">https://doi.org/10.1101/2020.11.20.391284</a>.
  ieee: J. Slovakova <i>et al.</i>, “Tension-dependent stabilization of E-cadherin
    limits cell-cell contact expansion,” <i>bioRxiv</i>. 2020.
  ista: Slovakova J, Sikora MK, Caballero Mancebo S, Krens G, Kaufmann W, Huljev K,
    Heisenberg C-PJ. 2020. Tension-dependent stabilization of E-cadherin limits cell-cell
    contact expansion. bioRxiv, <a href="https://doi.org/10.1101/2020.11.20.391284">10.1101/2020.11.20.391284</a>.
  mla: Slovakova, Jana, et al. “Tension-Dependent Stabilization of E-Cadherin Limits
    Cell-Cell Contact Expansion.” <i>BioRxiv</i>, 2020, doi:<a href="https://doi.org/10.1101/2020.11.20.391284">10.1101/2020.11.20.391284</a>.
  short: J. Slovakova, M.K. Sikora, S. Caballero Mancebo, G. Krens, W. Kaufmann, K.
    Huljev, C.-P.J. Heisenberg, BioRxiv (2020).
date_created: 2021-07-29T11:29:50Z
date_published: 2020-11-20T00:00:00Z
date_updated: 2026-07-23T22:31:04Z
day: '20'
department:
- _id: CaHe
- _id: EM-Fac
- _id: Bio
doi: 10.1101/2020.11.20.391284
ec_funded: 1
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.1101/2020.11.20.391284
month: '11'
oa: 1
oa_version: Preprint
page: '41'
project:
- _id: 25681D80-B435-11E9-9278-68D0E5697425
  call_identifier: FP7
  grant_number: '291734'
  name: International IST Postdoc Fellowship Programme
- _id: 260F1432-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '742573'
  name: Interaction and feedback between cell mechanics and fate specification in
    vertebrate gastrulation
- _id: 2521E28E-B435-11E9-9278-68D0E5697425
  grant_number: 187-2013
  name: Modulation of adhesion function in cell-cell contact formation by cortical
    tension
publication: bioRxiv
publication_status: published
related_material:
  record:
  - id: '10766'
    relation: later_version
    status: public
  - id: '9623'
    relation: dissertation_contains
    status: public
status: public
title: Tension-dependent stabilization of E-cadherin limits cell-cell contact expansion
type: preprint
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2020'
...
---
_id: '8532'
abstract:
- lang: eng
  text: The molecular anatomy of synapses defines their characteristics in transmission
    and plasticity. Precise measurements of the number and distribution of synaptic
    proteins are important for our understanding of synapse heterogeneity within and
    between brain regions. Freeze–fracture replica immunogold electron microscopy
    enables us to analyze them quantitatively on a two-dimensional membrane surface.
    Here, we introduce Darea software, which utilizes deep learning for analysis of
    replica images and demonstrate its usefulness for quick measurements of the pre-
    and postsynaptic areas, density and distribution of gold particles at synapses
    in a reproducible manner. We used Darea for comparing glutamate receptor and calcium
    channel distributions between hippocampal CA3-CA1 spine synapses on apical and
    basal dendrites, which differ in signaling pathways involved in synaptic plasticity.
    We found that apical synapses express a higher density of α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic
    acid (AMPA) receptors and a stronger increase of AMPA receptors with synaptic
    size, while basal synapses show a larger increase in N-methyl-D-aspartate (NMDA)
    receptors with size. Interestingly, AMPA and NMDA receptors are segregated within
    postsynaptic sites and negatively correlated in density among both apical and
    basal synapses. In the presynaptic sites, Cav2.1 voltage-gated calcium channels
    show similar densities in apical and basal synapses with distributions consistent
    with an exclusion zone model of calcium channel-release site topography.
acknowledgement: "This research was funded by Austrian Academy of Sciences, DOC fellowship
  to D.K., European Research\r\nCouncil Advanced Grant 694539 and European Union Human
  Brain Project (HBP) SGA2 785907 to R.S.\r\nWe acknowledge Elena Hollergschwandtner
  for technical support."
article_number: '6737'
article_processing_charge: No
article_type: original
author:
- first_name: David
  full_name: Kleindienst, David
  id: 42E121A4-F248-11E8-B48F-1D18A9856A87
  last_name: Kleindienst
- first_name: Jacqueline-Claire
  full_name: Montanaro-Punzengruber, Jacqueline-Claire
  id: 3786AB44-F248-11E8-B48F-1D18A9856A87
  last_name: Montanaro-Punzengruber
- first_name: Pradeep
  full_name: Bhandari, Pradeep
  id: 45EDD1BC-F248-11E8-B48F-1D18A9856A87
  last_name: Bhandari
  orcid: 0000-0003-0863-4481
- first_name: Matthew J
  full_name: Case, Matthew J
  id: 44B7CA5A-F248-11E8-B48F-1D18A9856A87
  last_name: Case
- first_name: Yugo
  full_name: Fukazawa, Yugo
  last_name: Fukazawa
- first_name: Ryuichi
  full_name: Shigemoto, Ryuichi
  id: 499F3ABC-F248-11E8-B48F-1D18A9856A87
  last_name: Shigemoto
  orcid: 0000-0001-8761-9444
citation:
  ama: Kleindienst D, Montanaro-Punzengruber J-C, Bhandari P, Case MJ, Fukazawa Y,
    Shigemoto R. Deep learning-assisted high-throughput analysis of freeze-fracture
    replica images applied to glutamate receptors and calcium channels at hippocampal
    synapses. <i>International Journal of Molecular Sciences</i>. 2020;21(18). doi:<a
    href="https://doi.org/10.3390/ijms21186737">10.3390/ijms21186737</a>
  apa: Kleindienst, D., Montanaro-Punzengruber, J.-C., Bhandari, P., Case, M. J.,
    Fukazawa, Y., &#38; Shigemoto, R. (2020). Deep learning-assisted high-throughput
    analysis of freeze-fracture replica images applied to glutamate receptors and
    calcium channels at hippocampal synapses. <i>International Journal of Molecular
    Sciences</i>. MDPI. <a href="https://doi.org/10.3390/ijms21186737">https://doi.org/10.3390/ijms21186737</a>
  chicago: Kleindienst, David, Jacqueline-Claire Montanaro-Punzengruber, Pradeep Bhandari,
    Matthew J Case, Yugo Fukazawa, and Ryuichi Shigemoto. “Deep Learning-Assisted
    High-Throughput Analysis of Freeze-Fracture Replica Images Applied to Glutamate
    Receptors and Calcium Channels at Hippocampal Synapses.” <i>International Journal
    of Molecular Sciences</i>. MDPI, 2020. <a href="https://doi.org/10.3390/ijms21186737">https://doi.org/10.3390/ijms21186737</a>.
  ieee: D. Kleindienst, J.-C. Montanaro-Punzengruber, P. Bhandari, M. J. Case, Y.
    Fukazawa, and R. Shigemoto, “Deep learning-assisted high-throughput analysis of
    freeze-fracture replica images applied to glutamate receptors and calcium channels
    at hippocampal synapses,” <i>International Journal of Molecular Sciences</i>,
    vol. 21, no. 18. MDPI, 2020.
  ista: Kleindienst D, Montanaro-Punzengruber J-C, Bhandari P, Case MJ, Fukazawa Y,
    Shigemoto R. 2020. Deep learning-assisted high-throughput analysis of freeze-fracture
    replica images applied to glutamate receptors and calcium channels at hippocampal
    synapses. International Journal of Molecular Sciences. 21(18), 6737.
  mla: Kleindienst, David, et al. “Deep Learning-Assisted High-Throughput Analysis
    of Freeze-Fracture Replica Images Applied to Glutamate Receptors and Calcium Channels
    at Hippocampal Synapses.” <i>International Journal of Molecular Sciences</i>,
    vol. 21, no. 18, 6737, MDPI, 2020, doi:<a href="https://doi.org/10.3390/ijms21186737">10.3390/ijms21186737</a>.
  short: D. Kleindienst, J.-C. Montanaro-Punzengruber, P. Bhandari, M.J. Case, Y.
    Fukazawa, R. Shigemoto, International Journal of Molecular Sciences 21 (2020).
corr_author: '1'
date_created: 2020-09-20T22:01:35Z
date_published: 2020-09-14T00:00:00Z
date_updated: 2026-07-23T22:31:06Z
day: '14'
ddc:
- '570'
department:
- _id: RySh
doi: 10.3390/ijms21186737
ec_funded: 1
external_id:
  isi:
  - '000579945300001'
file:
- access_level: open_access
  checksum: 2e4f62f3cfe945b7391fc3070e5a289f
  content_type: application/pdf
  creator: dernst
  date_created: 2020-09-21T14:08:58Z
  date_updated: 2020-09-21T14:08:58Z
  file_id: '8551'
  file_name: 2020_JournMolecSciences_Kleindienst.pdf
  file_size: 5748456
  relation: main_file
  success: 1
file_date_updated: 2020-09-21T14:08:58Z
has_accepted_license: '1'
intvolume: '        21'
isi: 1
issue: '18'
language:
- iso: eng
month: '09'
oa: 1
oa_version: Published Version
project:
- _id: 25CA28EA-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '694539'
  name: 'In situ analysis of single channel subunit composition in neurons: physiological
    implication in synaptic plasticity and behaviour'
- _id: 25D32BC0-B435-11E9-9278-68D0E5697425
  name: Mechanism of formation and maintenance of input side-dependent asymmetry in
    the hippocampus
- _id: 26436750-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '785907'
  name: Human Brain Project Specific Grant Agreement 2
publication: International Journal of Molecular Sciences
publication_identifier:
  eissn:
  - 1422-0067
  issn:
  - 1661-6596
publication_status: published
publisher: MDPI
quality_controlled: '1'
related_material:
  record:
  - id: '9562'
    relation: dissertation_contains
    status: public
scopus_import: '1'
status: public
title: Deep learning-assisted high-throughput analysis of freeze-fracture replica
  images applied to glutamate receptors and calcium channels at hippocampal synapses
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
  short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 21
year: '2020'
...
---
_id: '9633'
abstract:
- lang: eng
  text: The search for biologically faithful synaptic plasticity rules has resulted
    in a large body of models. They are usually inspired by – and fitted to – experimental
    data, but they rarely produce neural dynamics that serve complex functions. These
    failures suggest that current plasticity models are still under-constrained by
    existing data. Here, we present an alternative approach that uses meta-learning
    to discover plausible synaptic plasticity rules. Instead of experimental data,
    the rules are constrained by the functions they implement and the structure they
    are meant to produce. Briefly, we parameterize synaptic plasticity rules by a
    Volterra expansion and then use supervised learning methods (gradient descent
    or evolutionary strategies) to minimize a problem-dependent loss function that
    quantifies how effectively a candidate plasticity rule transforms an initially
    random network into one with the desired function. We first validate our approach
    by re-discovering previously described plasticity rules, starting at the single-neuron
    level and “Oja’s rule”, a simple Hebbian plasticity rule that captures the direction
    of most variability of inputs to a neuron (i.e., the first principal component).
    We expand the problem to the network level and ask the framework to find Oja’s
    rule together with an anti-Hebbian rule such that an initially random two-layer
    firing-rate network will recover several principal components of the input space
    after learning. Next, we move to networks of integrate-and-fire neurons with plastic
    inhibitory afferents. We train for rules that achieve a target firing rate by
    countering tuned excitation. Our algorithm discovers a specific subset of the
    manifold of rules that can solve this task. Our work is a proof of principle of
    an automated and unbiased approach to unveil synaptic plasticity rules that obey
    biological constraints and can solve complex functions.
acknowledgement: We would like to thank Chaitanya Chintaluri, Georgia Christodoulou,
  Bill Podlaski and Merima Šabanovic for useful discussions and comments. This work
  was supported by a Wellcome Trust ´ Senior Research Fellowship (214316/Z/18/Z),
  a BBSRC grant (BB/N019512/1), an ERC consolidator Grant (SYNAPSEEK), a Leverhulme
  Trust Project Grant (RPG-2016-446), and funding from École Polytechnique, Paris.
alternative_title:
- Advances in Neural Information Processing Systems
article_processing_charge: No
author:
- first_name: Basile J
  full_name: Confavreux, Basile J
  id: C7610134-B532-11EA-BD9F-F5753DDC885E
  last_name: Confavreux
- first_name: Friedemann
  full_name: Zenke, Friedemann
  last_name: Zenke
- first_name: Everton J.
  full_name: Agnes, Everton J.
  last_name: Agnes
- first_name: Timothy
  full_name: Lillicrap, Timothy
  last_name: Lillicrap
- first_name: Tim P
  full_name: Vogels, Tim P
  id: CB6FF8D2-008F-11EA-8E08-2637E6697425
  last_name: Vogels
  orcid: 0000-0003-3295-6181
citation:
  ama: 'Confavreux BJ, Zenke F, Agnes EJ, Lillicrap T, Vogels TP. A meta-learning
    approach to (re)discover plasticity rules that carve a desired function into a
    neural network. In: <i>34th Conference on Neural Information Processing Systems</i>.
    Vol 33. Neural Information Processing Systems Foundation; 2020:16398-16408.'
  apa: 'Confavreux, B. J., Zenke, F., Agnes, E. J., Lillicrap, T., &#38; Vogels, T.
    P. (2020). A meta-learning approach to (re)discover plasticity rules that carve
    a desired function into a neural network. In <i>34th Conference on Neural Information
    Processing Systems</i> (Vol. 33, pp. 16398–16408). Vancouver, Canada: Neural Information
    Processing Systems Foundation.'
  chicago: Confavreux, Basile J, Friedemann Zenke, Everton J. Agnes, Timothy Lillicrap,
    and Tim P Vogels. “A Meta-Learning Approach to (Re)Discover Plasticity Rules That
    Carve a Desired Function into a Neural Network.” In <i>34th Conference on Neural
    Information Processing Systems</i>, 33:16398–408. Neural Information Processing
    Systems Foundation, 2020.
  ieee: B. J. Confavreux, F. Zenke, E. J. Agnes, T. Lillicrap, and T. P. Vogels, “A
    meta-learning approach to (re)discover plasticity rules that carve a desired function
    into a neural network,” in <i>34th Conference on Neural Information Processing
    Systems</i>, Vancouver, Canada, 2020, vol. 33, pp. 16398–16408.
  ista: 'Confavreux BJ, Zenke F, Agnes EJ, Lillicrap T, Vogels TP. 2020. A meta-learning
    approach to (re)discover plasticity rules that carve a desired function into a
    neural network. 34th Conference on Neural Information Processing Systems. NeurIPS:
    Conference on Neural Information Processing Systems, Advances in Neural Information
    Processing Systems, vol. 33, 16398–16408.'
  mla: Confavreux, Basile J., et al. “A Meta-Learning Approach to (Re)Discover Plasticity
    Rules That Carve a Desired Function into a Neural Network.” <i>34th Conference
    on Neural Information Processing Systems</i>, vol. 33, Neural Information Processing
    Systems Foundation, 2020, pp. 16398–408.
  short: B.J. Confavreux, F. Zenke, E.J. Agnes, T. Lillicrap, T.P. Vogels, in:, 34th
    Conference on Neural Information Processing Systems, Neural Information Processing
    Systems Foundation, 2020, pp. 16398–16408.
conference:
  end_date: 2020-12-12
  location: Vancouver, Canada
  name: 'NeurIPS: Conference on Neural Information Processing Systems'
  start_date: 2020-12-06
das_tickbox: '1'
date_created: 2021-07-04T22:01:27Z
date_published: 2020-12-06T00:00:00Z
date_updated: 2026-07-23T22:31:06Z
day: '06'
ddc:
- '570'
department:
- _id: TiVo
ec_funded: 1
intvolume: '        33'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://proceedings.neurips.cc/paper/2020/hash/bdbd5ebfde4934142c8a88e7a3796cd5-Abstract.html
month: '12'
oa: 1
oa_version: Published Version
page: 16398-16408
project:
- _id: 0aacfa84-070f-11eb-9043-d7eb2c709234
  call_identifier: H2020
  grant_number: '819603'
  name: Learning the shape of synaptic plasticity rules for neuronal architectures
    and function through machine learning.
- _id: c084a126-5a5b-11eb-8a69-d75314a70a87
  grant_number: 214316/Z/18/Z
  name: What’s in a memory? Spatiotemporal dynamics in strongly coupled recurrent
    neuronal networks.
publication: 34th Conference on Neural Information Processing Systems
publication_identifier:
  issn:
  - 1049-5258
publication_status: published
publisher: Neural Information Processing Systems Foundation
quality_controlled: '1'
related_material:
  link:
  - relation: is_continued_by
    url: https://doi.org/10.1101/2020.10.24.353409
  record:
  - id: '14422'
    relation: dissertation_contains
    status: public
scopus_import: '1'
status: public
title: A meta-learning approach to (re)discover plasticity rules that carve a desired
  function into a neural network
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 33
year: '2020'
...
---
_id: '7680'
abstract:
- lang: eng
  text: "Proteins and their complex dynamic interactions regulate cellular mechanisms
    from sensing and transducing extracellular signals, to mediating genetic responses,
    and sustaining or changing cell morphology. To manipulate these protein-protein
    interactions (PPIs) that govern the behavior and fate of cells, synthetically
    constructed, genetically encoded tools provide the means to precisely target proteins
    of interest (POIs), and control their subcellular localization and activity in
    vitro and in vivo. Ideal synthetic tools react to an orthogonal cue, i.e. a trigger
    that does not activate any other endogenous process, thereby allowing manipulation
    of the POI alone.\r\nIn optogenetics, naturally occurring photosensory domain
    from plants, algae and bacteria are re-purposed and genetically fused to POIs.
    Illumination with light of a specific wavelength triggers a conformational change
    that can mediate PPIs, such as dimerization or oligomerization. By using light
    as a trigger, these tools can be activated with high spatial and temporal precision,
    on subcellular and millisecond scales. Chemogenetic tools consist of protein domains
    that recognize and bind small molecules. By genetic fusion to POIs, these domains
    can mediate PPIs upon addition of their specific ligands, which are often synthetically
    designed to provide highly specific interactions and exhibit good bioavailability.\r\nMost
    optogenetic tools to mediate PPIs are based on well-studied photoreceptors responding
    to red, blue or near-UV light, leaving a striking gap in the green band of the
    visible light spectrum. Among both optogenetic and chemogenetic tools, there is
    an abundance of methods to induce PPIs, but tools to disrupt them require UV illumination,
    rely on covalent linkage and subsequent enzymatic cleavage or initially result
    in protein clustering of unknown stoichiometry.\r\nThis work describes how the
    recently structurally and photochemically characterized green-light responsive
    cobalamin-binding domains (CBDs) from bacterial transcription factors were re-purposed
    to function as a green-light responsive optogenetic tool. In contrast to previously
    engineered optogenetic tools, CBDs do not induce PPI, but rather confer a PPI
    already upon expression, which can be rapidly disrupted by illumination. This
    was employed to mimic inhibition of constitutive activity of a growth factor receptor,
    and successfully implement for cell signalling in mammalian cells and in vivo
    to rescue development in zebrafish. This work further describes the development
    and application of a chemically induced de-dimerizer (CDD) based on a recently
    identified and structurally described bacterial oxyreductase. CDD forms a dimer
    upon expression in absence of its cofactor, the flavin derivative F420. Safety
    and of domain expression and ligand exposure are demonstrated in vitro and in
    vivo in zebrafish. The system is further applied to inhibit cell signalling output
    from a chimeric receptor upon F420 treatment.\r\nCBDs and CDD expand the repertoire
    of synthetic tools by providing novel mechanisms of mediating PPIs, and by recognizing
    previously not utilized cues. In the future, they can readily be combined with
    existing synthetic tools to functionally manipulate PPIs in vitro and in vivo."
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Stephanie
  full_name: Kainrath, Stephanie
  id: 32CFBA64-F248-11E8-B48F-1D18A9856A87
  last_name: Kainrath
  orcid: 0000-0002-6709-2195
citation:
  ama: Kainrath S. Synthetic tools for optogenetic and chemogenetic inhibition of
    cellular signals. 2020. doi:<a href="https://doi.org/10.15479/AT:ISTA:7680">10.15479/AT:ISTA:7680</a>
  apa: Kainrath, S. (2020). <i>Synthetic tools for optogenetic and chemogenetic inhibition
    of cellular signals</i>. Institute of Science and Technology Austria. <a href="https://doi.org/10.15479/AT:ISTA:7680">https://doi.org/10.15479/AT:ISTA:7680</a>
  chicago: Kainrath, Stephanie. “Synthetic Tools for Optogenetic and Chemogenetic
    Inhibition of Cellular Signals.” Institute of Science and Technology Austria,
    2020. <a href="https://doi.org/10.15479/AT:ISTA:7680">https://doi.org/10.15479/AT:ISTA:7680</a>.
  ieee: S. Kainrath, “Synthetic tools for optogenetic and chemogenetic inhibition
    of cellular signals,” Institute of Science and Technology Austria, 2020.
  ista: Kainrath S. 2020. Synthetic tools for optogenetic and chemogenetic inhibition
    of cellular signals. Institute of Science and Technology Austria.
  mla: Kainrath, Stephanie. <i>Synthetic Tools for Optogenetic and Chemogenetic Inhibition
    of Cellular Signals</i>. Institute of Science and Technology Austria, 2020, doi:<a
    href="https://doi.org/10.15479/AT:ISTA:7680">10.15479/AT:ISTA:7680</a>.
  short: S. Kainrath, Synthetic Tools for Optogenetic and Chemogenetic Inhibition
    of Cellular Signals, Institute of Science and Technology Austria, 2020.
corr_author: '1'
date_created: 2020-04-24T16:00:51Z
date_published: 2020-04-24T00:00:00Z
date_updated: 2026-07-08T05:54:07Z
day: '24'
ddc:
- '570'
degree_awarded: PhD
department:
- _id: CaGu
doi: 10.15479/AT:ISTA:7680
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  content_type: application/pdf
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file_date_updated: 2021-10-31T23:30:05Z
has_accepted_license: '1'
language:
- iso: eng
month: '04'
oa: 1
oa_version: None
page: '98'
publication_identifier:
  eissn:
  - 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
related_material:
  record:
  - id: '1028'
    relation: dissertation_contains
    status: public
status: public
supervisor:
- first_name: Harald L
  full_name: Janovjak, Harald L
  id: 33BA6C30-F248-11E8-B48F-1D18A9856A87
  last_name: Janovjak
  orcid: 0000-0002-8023-9315
title: Synthetic tools for optogenetic and chemogenetic inhibition of cellular signals
type: dissertation
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2020'
...
