---
_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: 2026-10-30T23:30:47Z
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
fulldoi: https://doi.org/10.1007/978-3-030-59152-6_14
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: 2026-10-30T23:30:47Z
day: '11'
department:
- _id: KrCh
doi: 10.1145/3385412.3385969
external_id:
  arxiv:
  - '1902.04373'
  isi:
  - '000614622300045'
fulldoi: https://doi.org/10.1145/3385412.3385969
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: 2026-10-30T23:30:48Z
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
fulldoi: https://doi.org/10.1007/978-3-030-44914-8_5
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: 2026-10-30T23:30:47Z
day: '01'
department:
- _id: KrCh
doi: 10.1016/j.ress.2019.106665
external_id:
  arxiv:
  - '1712.09692'
  isi:
  - '000501641400050'
fulldoi: https://doi.org/10.1016/j.ress.2019.106665
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'
...
---
_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: 2026-10-30T23:30:49Z
day: '25'
ddc:
- '570'
department:
- _id: SiHi
doi: 10.3389/fcell.2020.574382
ec_funded: 1
external_id:
  isi:
  - '000577915900001'
  pmid:
  - '33102480'
file:
- access_level: open_access
  checksum: 01f731824194c94c81a5da360d997073
  content_type: application/pdf
  creator: dernst
  date_created: 2020-09-28T13:11:17Z
  date_updated: 2020-09-28T13:11:17Z
  file_id: '8584'
  file_name: 2020_Frontiers_Hansen.pdf
  file_size: 5527139
  relation: main_file
  success: 1
file_date_updated: 2020-09-28T13:11:17Z
fulldoi: https://doi.org/10.3389/fcell.2020.574382
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: '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
  creator: dernst
  date_created: 2020-10-12T10:40:27Z
  date_updated: 2021-03-16T23:30:04Z
  embargo: 2021-03-15
  file_id: '8647'
  file_name: 2020_JourOptimizationTheoryApplic_Shehu.pdf
  file_size: 332641
  relation: main_file
file_date_updated: 2021-03-16T23:30:04Z
fulldoi: https://doi.org/10.1007/s10957-019-01616-6
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'
...
---
_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: 2026-10-30T23:30:51Z
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
fulldoi: https://doi.org/10.3390/ijms21186737
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'
...
---
OA_place: repository
OA_type: green
_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: 2026-07-28T12:57:27Z
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
fulldoi: https://doi.org/10.1016/j.nahs.2020.100856
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: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 36
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: 2026-08-12T09:19:22Z
day: '24'
ddc:
- '570'
degree_awarded: PhD
department:
- _id: CaGu
doi: 10.15479/AT:ISTA:7680
file:
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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'
...
---
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: 2026-08-12T09:55:08Z
day: '12'
ddc:
- '610'
degree_awarded: PhD
department:
- _id: GaNo
doi: 10.15479/AT:ISTA:8620
file:
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file_date_updated: 2021-10-16T22:30:04Z
fulldoi: https://doi.org/10.15479/AT:ISTA:8620
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: '7800'
    relation: part_of_dissertation
    status: public
  - id: '8131'
    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: '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: 2026-10-30T23:30:54Z
day: '11'
ddc:
- '570'
department:
- _id: JoDa
- _id: GaNo
- _id: LifeSc
doi: '10.1101/2020.01.10.902064 '
file:
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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
fulldoi: 'https://doi.org/10.1101/2020.01.10.902064 '
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: '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 &#38; 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 &#38; 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 &#38; 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 &#38; 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 &#38; Development. 65(12), 126–137.
  mla: Basilico, Bernadette, et al. “Molecular Mechanisms for Targeted ASD Treatments.”
    <i>Current Opinion in Genetics &#38; 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 &#38;
    Development 65 (2020) 126–137.
corr_author: '1'
date_created: 2020-07-19T22:00:58Z
date_published: 2020-12-01T00:00:00Z
date_updated: 2026-10-30T23:30:54Z
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:
- access_level: open_access
  content_type: application/pdf
  creator: dernst
  date_created: 2020-07-22T06:47:45Z
  date_updated: 2020-07-22T06:47:45Z
  file_id: '8146'
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  success: 1
file_date_updated: 2020-07-22T06:47:45Z
fulldoi: https://doi.org/10.1016/j.gde.2020.06.004
has_accepted_license: '1'
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 & 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: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 65
year: '2020'
...
---
_id: '9198'
abstract:
- lang: eng
  text: "The optimization of multilayer neural networks typically leads to a solution\r\nwith
    zero training error, yet the landscape can exhibit spurious local minima\r\nand
    the minima can be disconnected. In this paper, we shed light on this\r\nphenomenon:
    we show that the combination of stochastic gradient descent (SGD)\r\nand over-parameterization
    makes the landscape of multilayer neural networks\r\napproximately connected and
    thus more favorable to optimization. More\r\nspecifically, we prove that SGD solutions
    are connected via a piecewise linear\r\npath, and the increase in loss along this
    path vanishes as the number of\r\nneurons grows large. This result is a consequence
    of the fact that the\r\nparameters found by SGD are increasingly dropout stable
    as the network becomes\r\nwider. We show that, if we remove part of the neurons
    (and suitably rescale the\r\nremaining ones), the change in loss is independent
    of the total number of\r\nneurons, and it depends only on how many neurons are
    left. Our results exhibit\r\na mild dependence on the input dimension: they are
    dimension-free for two-layer\r\nnetworks and depend linearly on the dimension
    for multilayer networks. We\r\nvalidate our theoretical findings with numerical
    experiments for different\r\narchitectures and classification tasks."
acknowledgement: M. Mondelli was partially supported by the 2019 LopezLoreta Prize.
  The authors thank Phan-Minh Nguyen for helpful discussions and the IST Distributed
  Algorithms and Systems Lab for providing computational resources.
article_processing_charge: No
arxiv: 1
author:
- first_name: Aleksandr
  full_name: Shevchenko, Aleksandr
  id: F2B06EC2-C99E-11E9-89F0-752EE6697425
  last_name: Shevchenko
- first_name: Marco
  full_name: Mondelli, Marco
  id: 27EB676C-8706-11E9-9510-7717E6697425
  last_name: Mondelli
  orcid: 0000-0002-3242-7020
citation:
  ama: 'Shevchenko A, Mondelli M. Landscape connectivity and dropout stability of
    SGD solutions for over-parameterized neural networks. In: <i>Proceedings of the
    37th International Conference on Machine Learning</i>. Vol 119. ML Research Press;
    2020:8773-8784.'
  apa: Shevchenko, A., &#38; Mondelli, M. (2020). Landscape connectivity and dropout
    stability of SGD solutions for over-parameterized neural networks. In <i>Proceedings
    of the 37th International Conference on Machine Learning</i> (Vol. 119, pp. 8773–8784).
    ML Research Press.
  chicago: Shevchenko, Aleksandr, and Marco Mondelli. “Landscape Connectivity and
    Dropout Stability of SGD Solutions for Over-Parameterized Neural Networks.” In
    <i>Proceedings of the 37th International Conference on Machine Learning</i>, 119:8773–84.
    ML Research Press, 2020.
  ieee: A. Shevchenko and M. Mondelli, “Landscape connectivity and dropout stability
    of SGD solutions for over-parameterized neural networks,” in <i>Proceedings of
    the 37th International Conference on Machine Learning</i>, 2020, vol. 119, pp.
    8773–8784.
  ista: Shevchenko A, Mondelli M. 2020. Landscape connectivity and dropout stability
    of SGD solutions for over-parameterized neural networks. Proceedings of the 37th
    International Conference on Machine Learning. vol. 119, 8773–8784.
  mla: Shevchenko, Aleksandr, and Marco Mondelli. “Landscape Connectivity and Dropout
    Stability of SGD Solutions for Over-Parameterized Neural Networks.” <i>Proceedings
    of the 37th International Conference on Machine Learning</i>, vol. 119, ML Research
    Press, 2020, pp. 8773–84.
  short: A. Shevchenko, M. Mondelli, in:, Proceedings of the 37th International Conference
    on Machine Learning, ML Research Press, 2020, pp. 8773–8784.
date_created: 2021-02-25T09:36:22Z
date_published: 2020-07-13T00:00:00Z
date_updated: 2026-10-30T23:31:02Z
day: '13'
ddc:
- '000'
department:
- _id: MaMo
- _id: DaAl
external_id:
  arxiv:
  - '1912.10095'
file:
- access_level: open_access
  checksum: f042c8d4316bd87c6361aa76f1fbdbbe
  content_type: application/pdf
  creator: dernst
  date_created: 2021-03-02T15:38:14Z
  date_updated: 2021-03-02T15:38:14Z
  file_id: '9217'
  file_name: 2020_PMLR_Shevchenko.pdf
  file_size: 5336380
  relation: main_file
  success: 1
file_date_updated: 2021-03-02T15:38:14Z
has_accepted_license: '1'
intvolume: '       119'
language:
- iso: eng
month: '07'
oa: 1
oa_version: Published Version
page: 8773-8784
project:
- _id: 059876FA-7A3F-11EA-A408-12923DDC885E
  name: Prix Lopez-Loretta 2019 - Marco Mondelli
publication: Proceedings of the 37th International Conference on Machine Learning
publication_status: published
publisher: ML Research Press
quality_controlled: '1'
related_material:
  record:
  - id: '17465'
    relation: dissertation_contains
    status: public
status: public
title: Landscape connectivity and dropout stability of SGD solutions for over-parameterized
  neural networks
type: conference
user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9
volume: 119
year: '2020'
...
---
OA_place: repository
OA_type: green
_id: '8707'
abstract:
- lang: eng
  text: Dynamic changes in the three-dimensional (3D) organization of chromatin are
    associated with central biological processes, such as transcription, replication
    and development. Therefore, the comprehensive identification and quantification
    of these changes is fundamental to understanding of evolutionary and regulatory
    mechanisms. Here, we present Comparison of Hi-C Experiments using Structural Similarity
    (CHESS), an algorithm for the comparison of chromatin contact maps and automatic
    differential feature extraction. We demonstrate the robustness of CHESS to experimental
    variability and showcase its biological applications on (1) interspecies comparisons
    of syntenic regions in human and mouse models; (2) intraspecies identification
    of conformational changes in Zelda-depleted Drosophila embryos; (3) patient-specific
    aberrant chromatin conformation in a diffuse large B-cell lymphoma sample; and
    (4) the systematic identification of chromatin contact differences in high-resolution
    Capture-C data. In summary, CHESS is a computationally efficient method for the
    comparison and classification of changes in chromatin contact data.
acknowledgement: 'Work in the Vaquerizas laboratory is funded by the Max Planck Society,
  the Deutsche Forschungsgemeinschaft (DFG) Priority Programme SPP 2202 ‘Spatial Genome
  Architecture in Development and Disease’ (project no. 422857230 to J.M.V.), the
  DFG Clinical Research Unit CRU326 ‘Male Germ Cells: from Genes to Function’ (project
  no. 329621271 to J.M.V.), the European Union’s Horizon 2020 research and innovation
  programme under the Marie Skłodowska-Curie grant agreement no. 643062—ZENCODE-ITN
  to J.M.V.) and the Medical Research Council in the UK. This research was partially
  funded by the European Union’s H2020 Framework Programme through the European Research
  Council (grant no. 609989 to M.A.M.-R.). We thank the support of the Spanish Ministerio
  de Ciencia, Innovación y Universidades through grant no. BFU2017-85926-P to M.A.M.-R.
  The Centre for Genomic Regulation thanks the support of the Ministerio de Ciencia,
  Innovación y Universidades to the European Molecular Biology Laboratory partnership,
  the ‘Centro de Excelencia Severo Ochoa 2013–2017’, agreement no. SEV-2012-0208,
  the CERCA Programme/Generalitat de Catalunya, Spanish Ministerio de Ciencia, Innovación
  y Universidades through the Instituto de Salud Carlos III, the Generalitat de Catalunya
  through the Departament de Salut and Departament d’Empresa i Coneixement and cofinancing
  by the Spanish Ministerio de Ciencia, Innovación y Universidades with funds from
  the European Regional Development Fund corresponding to the 2014–2020 Smart Growth
  Operating Program. S.G. thanks the support from the Company of Biologists (grant
  no. JCSTF181158) and the European Molecular Biology Organization Short-Term Fellowship
  programme.'
article_processing_charge: No
article_type: original
author:
- first_name: Silvia
  full_name: ' Galan, Silvia'
  last_name: ' Galan'
- first_name: Nick N
  full_name: Machnik, Nick N
  id: 3591A0AA-F248-11E8-B48F-1D18A9856A87
  last_name: Machnik
  orcid: 0000-0001-6617-9742
- first_name: Kai
  full_name: Kruse, Kai
  last_name: Kruse
- first_name: Noelia
  full_name: Díaz, Noelia
  last_name: Díaz
- first_name: Marc A
  full_name: Marti-Renom, Marc A
  last_name: Marti-Renom
- first_name: Juan M
  full_name: Vaquerizas, Juan M
  last_name: Vaquerizas
citation:
  ama: Galan S, Machnik NN, Kruse K, Díaz N, Marti-Renom MA, Vaquerizas JM. CHESS
    enables quantitative comparison of chromatin contact data and automatic feature
    extraction. <i>Nature Genetics</i>. 2020;52:1247-1255. doi:<a href="https://doi.org/10.1038/s41588-020-00712-y">10.1038/s41588-020-00712-y</a>
  apa: Galan, S., Machnik, N. N., Kruse, K., Díaz, N., Marti-Renom, M. A., &#38; Vaquerizas,
    J. M. (2020). CHESS enables quantitative comparison of chromatin contact data
    and automatic feature extraction. <i>Nature Genetics</i>. Springer Nature. <a
    href="https://doi.org/10.1038/s41588-020-00712-y">https://doi.org/10.1038/s41588-020-00712-y</a>
  chicago: Galan, Silvia, Nick N Machnik, Kai Kruse, Noelia Díaz, Marc A Marti-Renom,
    and Juan M Vaquerizas. “CHESS Enables Quantitative Comparison of Chromatin Contact
    Data and Automatic Feature Extraction.” <i>Nature Genetics</i>. Springer Nature,
    2020. <a href="https://doi.org/10.1038/s41588-020-00712-y">https://doi.org/10.1038/s41588-020-00712-y</a>.
  ieee: S.  Galan, N. N. Machnik, K. Kruse, N. Díaz, M. A. Marti-Renom, and J. M.
    Vaquerizas, “CHESS enables quantitative comparison of chromatin contact data and
    automatic feature extraction,” <i>Nature Genetics</i>, vol. 52. Springer Nature,
    pp. 1247–1255, 2020.
  ista: Galan S, Machnik NN, Kruse K, Díaz N, Marti-Renom MA, Vaquerizas JM. 2020.
    CHESS enables quantitative comparison of chromatin contact data and automatic
    feature extraction. Nature Genetics. 52, 1247–1255.
  mla: Galan, Silvia, et al. “CHESS Enables Quantitative Comparison of Chromatin Contact
    Data and Automatic Feature Extraction.” <i>Nature Genetics</i>, vol. 52, Springer
    Nature, 2020, pp. 1247–55, doi:<a href="https://doi.org/10.1038/s41588-020-00712-y">10.1038/s41588-020-00712-y</a>.
  short: S.  Galan, N.N. Machnik, K. Kruse, N. Díaz, M.A. Marti-Renom, J.M. Vaquerizas,
    Nature Genetics 52 (2020) 1247–1255.
date_created: 2020-10-25T23:01:20Z
date_published: 2020-10-19T00:00:00Z
date_updated: 2026-10-30T23:31:11Z
day: '19'
department:
- _id: FyKo
doi: 10.1038/s41588-020-00712-y
external_id:
  isi:
  - '000579693500004'
  pmid:
  - '33077914'
fulldoi: https://doi.org/10.1038/s41588-020-00712-y
intvolume: '        52'
isi: 1
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://pmc.ncbi.nlm.nih.gov/articles/PMC7610641/
month: '10'
oa: 1
oa_version: Submitted Version
page: 1247-1255
pmid: 1
publication: Nature Genetics
publication_identifier:
  eissn:
  - 1546-1718
  issn:
  - 1061-4036
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
related_material:
  record:
  - id: '18642'
    relation: dissertation_contains
    status: public
scopus_import: '1'
status: public
title: CHESS enables quantitative comparison of chromatin contact data and automatic
  feature extraction
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 52
year: '2020'
...
---
_id: '11062'
abstract:
- lang: eng
  text: Most neurons are not replaced during an animal’s lifetime. This nondividing
    state is characterized by extreme longevity and age-dependent decline of key regulatory
    proteins. To study the lifespans of cells and proteins in adult tissues, we combined
    isotope labeling of mice with a hybrid imaging method (MIMS-EM). Using 15N mapping,
    we show that liver and pancreas are composed of cells with vastly different ages,
    many as old as the animal. Strikingly, we also found that a subset of fibroblasts
    and endothelial cells, both known for their replicative potential, are characterized
    by the absence of cell division during adulthood. In addition, we show that the
    primary cilia of beta cells and neurons contains different structural regions
    with vastly different lifespans. Based on these results, we propose that age mosaicism
    across multiple scales is a fundamental principle of adult tissue, cell, and protein
    complex organization.
article_processing_charge: No
article_type: original
author:
- first_name: Rafael
  full_name: Arrojo e Drigo, Rafael
  last_name: Arrojo e Drigo
- first_name: Varda
  full_name: Lev-Ram, Varda
  last_name: Lev-Ram
- first_name: Swati
  full_name: Tyagi, Swati
  last_name: Tyagi
- first_name: Ranjan
  full_name: Ramachandra, Ranjan
  last_name: Ramachandra
- first_name: Thomas
  full_name: Deerinck, Thomas
  last_name: Deerinck
- first_name: Eric
  full_name: Bushong, Eric
  last_name: Bushong
- first_name: Sebastien
  full_name: Phan, Sebastien
  last_name: Phan
- first_name: Victoria
  full_name: Orphan, Victoria
  last_name: Orphan
- first_name: Claude
  full_name: Lechene, Claude
  last_name: Lechene
- first_name: Mark H.
  full_name: Ellisman, Mark H.
  last_name: Ellisman
- first_name: Martin W
  full_name: HETZER, Martin W
  id: 86c0d31b-b4eb-11ec-ac5a-eae7b2e135ed
  last_name: HETZER
  orcid: 0000-0002-2111-992X
citation:
  ama: Arrojo e Drigo R, Lev-Ram V, Tyagi S, et al. Age mosaicism across multiple
    scales in adult tissues. <i>Cell Metabolism</i>. 2019;30(2):343-351.e3. doi:<a
    href="https://doi.org/10.1016/j.cmet.2019.05.010">10.1016/j.cmet.2019.05.010</a>
  apa: Arrojo e Drigo, R., Lev-Ram, V., Tyagi, S., Ramachandra, R., Deerinck, T.,
    Bushong, E., … Hetzer, M. (2019). Age mosaicism across multiple scales in adult
    tissues. <i>Cell Metabolism</i>. Elsevier. <a href="https://doi.org/10.1016/j.cmet.2019.05.010">https://doi.org/10.1016/j.cmet.2019.05.010</a>
  chicago: Arrojo e Drigo, Rafael, Varda Lev-Ram, Swati Tyagi, Ranjan Ramachandra,
    Thomas Deerinck, Eric Bushong, Sebastien Phan, et al. “Age Mosaicism across Multiple
    Scales in Adult Tissues.” <i>Cell Metabolism</i>. Elsevier, 2019. <a href="https://doi.org/10.1016/j.cmet.2019.05.010">https://doi.org/10.1016/j.cmet.2019.05.010</a>.
  ieee: R. Arrojo e Drigo <i>et al.</i>, “Age mosaicism across multiple scales in
    adult tissues,” <i>Cell Metabolism</i>, vol. 30, no. 2. Elsevier, p. 343–351.e3,
    2019.
  ista: Arrojo e Drigo R, Lev-Ram V, Tyagi S, Ramachandra R, Deerinck T, Bushong E,
    Phan S, Orphan V, Lechene C, Ellisman MH, Hetzer M. 2019. Age mosaicism across
    multiple scales in adult tissues. Cell Metabolism. 30(2), 343–351.e3.
  mla: Arrojo e Drigo, Rafael, et al. “Age Mosaicism across Multiple Scales in Adult
    Tissues.” <i>Cell Metabolism</i>, vol. 30, no. 2, Elsevier, 2019, p. 343–351.e3,
    doi:<a href="https://doi.org/10.1016/j.cmet.2019.05.010">10.1016/j.cmet.2019.05.010</a>.
  short: R. Arrojo e Drigo, V. Lev-Ram, S. Tyagi, R. Ramachandra, T. Deerinck, E.
    Bushong, S. Phan, V. Orphan, C. Lechene, M.H. Ellisman, M. Hetzer, Cell Metabolism
    30 (2019) 343–351.e3.
date_created: 2022-04-07T07:45:21Z
date_published: 2019-08-06T00:00:00Z
date_updated: 2025-12-15T10:02:11Z
day: '06'
department:
- _id: MaHe
doi: 10.1016/j.cmet.2019.05.010
extern: '1'
external_id:
  pmid:
  - '31178361'
fulldoi: https://doi.org/10.1016/j.cmet.2019.05.010
intvolume: '        30'
issue: '2'
keyword:
- Cell Biology
- Molecular Biology
- Physiology
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.1016/j.cmet.2019.05.010
month: '08'
oa: 1
oa_version: Published Version
page: 343-351.e3
pmid: 1
publication: Cell Metabolism
publication_identifier:
  issn:
  - 1550-4131
publication_status: published
publisher: Elsevier
quality_controlled: '1'
scopus_import: '1'
status: public
title: Age mosaicism across multiple scales in adult tissues
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 30
year: '2019'
...
---
_id: '27'
abstract:
- lang: eng
  text: The cerebral cortex is composed of a large variety of distinct cell-types
    including projection neurons, interneurons and glial cells which emerge from distinct
    neural stem cell (NSC) lineages. The vast majority of cortical projection neurons
    and certain classes of glial cells are generated by radial glial progenitor cells
    (RGPs) in a highly orchestrated manner. Recent studies employing single cell analysis
    and clonal lineage tracing suggest that NSC and RGP lineage progression are regulated
    in a profound deterministic manner. In this review we focus on recent advances
    based mainly on correlative phenotypic data emerging from functional genetic studies
    in mice. We establish hypotheses to test in future research and outline a conceptual
    framework how epigenetic cues modulate the generation of cell-type diversity during
    cortical development. This article is protected by copyright. All rights reserved.
acknowledgement: " This work was supported by IST Austria institutional funds; NÖ
  Forschung und Bildung \r\nn[f+b]   (C13-002)   to   SH;   a   program   grant   from
  \  the   Human   Frontiers   Science   Program (RGP0053/2014)  to SH;  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, and the  European
  \ Research  Council  (ERC)  under  the  European  Union’s  Horizon  2020  research
  \ and innovation programme (grant agreement No 725780 LinPro)to SH.\r\n"
article_processing_charge: Yes (via OA deal)
article_type: review
author:
- first_name: Nicole
  full_name: Amberg, Nicole
  id: 4CD6AAC6-F248-11E8-B48F-1D18A9856A87
  last_name: Amberg
  orcid: 0000-0002-3183-8207
- first_name: Susanne
  full_name: Laukoter, Susanne
  id: 2D6B7A9A-F248-11E8-B48F-1D18A9856A87
  last_name: Laukoter
  orcid: 0000-0002-7903-3010
- first_name: Simon
  full_name: Hippenmeyer, Simon
  id: 37B36620-F248-11E8-B48F-1D18A9856A87
  last_name: Hippenmeyer
  orcid: 0000-0003-2279-1061
citation:
  ama: Amberg N, Laukoter S, Hippenmeyer S. Epigenetic cues modulating the generation
    of cell type diversity in the cerebral cortex. <i>Journal of Neurochemistry</i>.
    2019;149(1):12-26. doi:<a href="https://doi.org/10.1111/jnc.14601">10.1111/jnc.14601</a>
  apa: Amberg, N., Laukoter, S., &#38; Hippenmeyer, S. (2019). Epigenetic cues modulating
    the generation of cell type diversity in the cerebral cortex. <i>Journal of Neurochemistry</i>.
    Wiley. <a href="https://doi.org/10.1111/jnc.14601">https://doi.org/10.1111/jnc.14601</a>
  chicago: Amberg, Nicole, Susanne Laukoter, and Simon Hippenmeyer. “Epigenetic Cues
    Modulating the Generation of Cell Type Diversity in the Cerebral Cortex.” <i>Journal
    of Neurochemistry</i>. Wiley, 2019. <a href="https://doi.org/10.1111/jnc.14601">https://doi.org/10.1111/jnc.14601</a>.
  ieee: N. Amberg, S. Laukoter, and S. Hippenmeyer, “Epigenetic cues modulating the
    generation of cell type diversity in the cerebral cortex,” <i>Journal of Neurochemistry</i>,
    vol. 149, no. 1. Wiley, pp. 12–26, 2019.
  ista: Amberg N, Laukoter S, Hippenmeyer S. 2019. Epigenetic cues modulating the
    generation of cell type diversity in the cerebral cortex. Journal of Neurochemistry.
    149(1), 12–26.
  mla: Amberg, Nicole, et al. “Epigenetic Cues Modulating the Generation of Cell Type
    Diversity in the Cerebral Cortex.” <i>Journal of Neurochemistry</i>, vol. 149,
    no. 1, Wiley, 2019, pp. 12–26, doi:<a href="https://doi.org/10.1111/jnc.14601">10.1111/jnc.14601</a>.
  short: N. Amberg, S. Laukoter, S. Hippenmeyer, Journal of Neurochemistry 149 (2019)
    12–26.
corr_author: '1'
date_created: 2018-12-11T11:44:14Z
date_published: 2019-04-01T00:00:00Z
date_updated: 2025-04-14T07:43:05Z
day: '01'
ddc:
- '570'
department:
- _id: SiHi
doi: 10.1111/jnc.14601
ec_funded: 1
external_id:
  isi:
  - '000462680200002'
file:
- access_level: open_access
  checksum: db027721a95d36f5de36aadcd0bdf7e6
  content_type: application/pdf
  creator: kschuh
  date_created: 2020-01-07T13:35:52Z
  date_updated: 2020-07-14T12:45:45Z
  file_id: '7239'
  file_name: 2019_Wiley_Amberg.pdf
  file_size: 889709
  relation: main_file
file_date_updated: 2020-07-14T12:45:45Z
fulldoi: https://doi.org/10.1111/jnc.14601
has_accepted_license: '1'
intvolume: '       149'
isi: 1
issue: '1'
language:
- iso: eng
month: '04'
oa: 1
oa_version: Published Version
page: 12-26
project:
- _id: 25D92700-B435-11E9-9278-68D0E5697425
  grant_number: LS13-002
  name: Mapping Cell-Type Specificity of the Genomic Imprintome in the Brain
- _id: 25D7962E-B435-11E9-9278-68D0E5697425
  grant_number: RGP0053/2014
  name: Quantitative Structure-Function Analysis of Cerebral Cortex Assembly at Clonal
    Level
- _id: 25D61E48-B435-11E9-9278-68D0E5697425
  call_identifier: FP7
  grant_number: '618444'
  name: Molecular Mechanisms of Cerebral Cortex Development
- _id: 260018B0-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '725780'
  name: Principles of Neural Stem Cell Lineage Progression in Cerebral Cortex Development
publication: Journal of Neurochemistry
publication_status: published
publisher: Wiley
quality_controlled: '1'
scopus_import: '1'
status: public
title: Epigenetic cues modulating the generation of cell type diversity in the 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: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 149
year: '2019'
...
---
_id: '301'
abstract:
- lang: eng
  text: A representation formula for solutions of stochastic partial differential
    equations with Dirichlet boundary conditions is proved. The scope of our setting
    is wide enough to cover the general situation when the backward characteristics
    that appear in the usual formulation are not even defined in the Itô sense.
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Mate
  full_name: Gerencser, Mate
  id: 44ECEDF2-F248-11E8-B48F-1D18A9856A87
  last_name: Gerencser
- first_name: István
  full_name: Gyöngy, István
  last_name: Gyöngy
citation:
  ama: Gerencser M, Gyöngy I. A Feynman–Kac formula for stochastic Dirichlet problems.
    <i>Stochastic Processes and their Applications</i>. 2019;129(3):995-1012. doi:<a
    href="https://doi.org/10.1016/j.spa.2018.04.003">10.1016/j.spa.2018.04.003</a>
  apa: Gerencser, M., &#38; Gyöngy, I. (2019). A Feynman–Kac formula for stochastic
    Dirichlet problems. <i>Stochastic Processes and Their Applications</i>. Elsevier.
    <a href="https://doi.org/10.1016/j.spa.2018.04.003">https://doi.org/10.1016/j.spa.2018.04.003</a>
  chicago: Gerencser, Mate, and István Gyöngy. “A Feynman–Kac Formula for Stochastic
    Dirichlet Problems.” <i>Stochastic Processes and Their Applications</i>. Elsevier,
    2019. <a href="https://doi.org/10.1016/j.spa.2018.04.003">https://doi.org/10.1016/j.spa.2018.04.003</a>.
  ieee: M. Gerencser and I. Gyöngy, “A Feynman–Kac formula for stochastic Dirichlet
    problems,” <i>Stochastic Processes and their Applications</i>, vol. 129, no. 3.
    Elsevier, pp. 995–1012, 2019.
  ista: Gerencser M, Gyöngy I. 2019. A Feynman–Kac formula for stochastic Dirichlet
    problems. Stochastic Processes and their Applications. 129(3), 995–1012.
  mla: Gerencser, Mate, and István Gyöngy. “A Feynman–Kac Formula for Stochastic Dirichlet
    Problems.” <i>Stochastic Processes and Their Applications</i>, vol. 129, no. 3,
    Elsevier, 2019, pp. 995–1012, doi:<a href="https://doi.org/10.1016/j.spa.2018.04.003">10.1016/j.spa.2018.04.003</a>.
  short: M. Gerencser, I. Gyöngy, Stochastic Processes and Their Applications 129
    (2019) 995–1012.
date_created: 2018-12-11T11:45:42Z
date_published: 2019-03-01T00:00:00Z
date_updated: 2023-08-24T14:20:49Z
day: '01'
department:
- _id: JaMa
doi: 10.1016/j.spa.2018.04.003
external_id:
  arxiv:
  - '1611.04177'
  isi:
  - '000458945300012'
fulldoi: https://doi.org/10.1016/j.spa.2018.04.003
intvolume: '       129'
isi: 1
issue: '3'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://arxiv.org/abs/1611.04177
month: '03'
oa: 1
oa_version: Preprint
page: 995-1012
publication: Stochastic Processes and their Applications
publication_status: published
publisher: Elsevier
quality_controlled: '1'
scopus_import: '1'
status: public
title: A Feynman–Kac formula for stochastic Dirichlet problems
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 129
year: '2019'
...
---
_id: '12190'
abstract:
- lang: eng
  text: Meiotic crossover frequency varies within genomes, which influences genetic
    diversity and adaptation. In turn, genetic variation within populations can act
    to modify crossover frequency in cis and trans. To identify genetic variation
    that controls meiotic crossover frequency, we screened Arabidopsis accessions
    using fluorescent recombination reporters. We mapped a genetic modifier of crossover
    frequency in Col × Bur populations of Arabidopsis to a premature stop codon within
    TBP-ASSOCIATED FACTOR 4b (TAF4b), which encodes a subunit of the RNA polymerase
    II general transcription factor TFIID. The Arabidopsis taf4b mutation is a rare
    variant found in the British Isles, originating in South-West Ireland. Using genetics,
    genomics, and immunocytology, we demonstrate a genome-wide decrease in taf4b crossovers,
    with strongest reduction in the sub-telomeric regions. Using RNA sequencing (RNA-seq)
    from purified meiocytes, we show that TAF4b expression is meiocyte enriched, whereas
    its paralog TAF4 is broadly expressed. Consistent with the role of TFIID in promoting
    gene expression, RNA-seq of wild-type and taf4b meiocytes identified widespread
    transcriptional changes, including in genes that regulate the meiotic cell cycle
    and recombination. Therefore, TAF4b duplication is associated with acquisition
    of meiocyte-specific expression and promotion of germline transcription, which
    act directly or indirectly to elevate crossovers. This identifies a novel mode
    of meiotic recombination control via a general transcription factor.
acknowledgement: "We thank Gregory Copenhaver (University of North Carolina), Avraham
  Levy (The Weizmann Institute), and Scott Poethig (University of Pennsylvania) for
  FTLs; Piotr Ziolkowski for Col-420/Bur seed; Sureshkumar Balasubramanian\r\n(Monash
  University) for providing British and Irish Arabidopsis accessions; Mathilde Grelon
  (INRA, Versailles) for providing the MLH1 antibody; and the Gurdon Institute for
  access to microscopes. This work was supported by a BBSRC DTP studentship (E.J.L.),
  European Research Area Network for Coordinating Action in Plant Sciences/BBSRC ‘‘DeCOP’’
  (BB/M004937/1; C.L.), a BBSRC David Phillips Fellowship (BB/L025043/1; H.G. and
  X.F.), the European Research Council (CoG ‘‘SynthHotspot,’’ A.J.T., C.L., and I.R.H.;
  StG ‘‘SexMeth,’’ X.F.), and a Sainsbury Charitable Foundation Studentship (A.R.B.)."
article_processing_charge: No
article_type: original
author:
- first_name: Emma J.
  full_name: Lawrence, Emma J.
  last_name: Lawrence
- first_name: Hongbo
  full_name: Gao, Hongbo
  last_name: Gao
- first_name: Andrew J.
  full_name: Tock, Andrew J.
  last_name: Tock
- first_name: Christophe
  full_name: Lambing, Christophe
  last_name: Lambing
- first_name: Alexander R.
  full_name: Blackwell, Alexander R.
  last_name: Blackwell
- first_name: Xiaoqi
  full_name: Feng, Xiaoqi
  id: e0164712-22ee-11ed-b12a-d80fcdf35958
  last_name: Feng
  orcid: 0000-0002-4008-1234
- first_name: Ian R.
  full_name: Henderson, Ian R.
  last_name: Henderson
citation:
  ama: Lawrence EJ, Gao H, Tock AJ, et al. Natural variation in TBP-ASSOCIATED FACTOR
    4b controls meiotic crossover and germline transcription in Arabidopsis. <i>Current
    Biology</i>. 2019;29(16):2676-2686.e3. doi:<a href="https://doi.org/10.1016/j.cub.2019.06.084">10.1016/j.cub.2019.06.084</a>
  apa: Lawrence, E. J., Gao, H., Tock, A. J., Lambing, C., Blackwell, A. R., Feng,
    X., &#38; Henderson, I. R. (2019). Natural variation in TBP-ASSOCIATED FACTOR
    4b controls meiotic crossover and germline transcription in Arabidopsis. <i>Current
    Biology</i>. Elsevier. <a href="https://doi.org/10.1016/j.cub.2019.06.084">https://doi.org/10.1016/j.cub.2019.06.084</a>
  chicago: Lawrence, Emma J., Hongbo Gao, Andrew J. Tock, Christophe Lambing, Alexander
    R. Blackwell, Xiaoqi Feng, and Ian R. Henderson. “Natural Variation in TBP-ASSOCIATED
    FACTOR 4b Controls Meiotic Crossover and Germline Transcription in Arabidopsis.”
    <i>Current Biology</i>. Elsevier, 2019. <a href="https://doi.org/10.1016/j.cub.2019.06.084">https://doi.org/10.1016/j.cub.2019.06.084</a>.
  ieee: E. J. Lawrence <i>et al.</i>, “Natural variation in TBP-ASSOCIATED FACTOR
    4b controls meiotic crossover and germline transcription in Arabidopsis,” <i>Current
    Biology</i>, vol. 29, no. 16. Elsevier, p. 2676–2686.e3, 2019.
  ista: Lawrence EJ, Gao H, Tock AJ, Lambing C, Blackwell AR, Feng X, Henderson IR.
    2019. Natural variation in TBP-ASSOCIATED FACTOR 4b controls meiotic crossover
    and germline transcription in Arabidopsis. Current Biology. 29(16), 2676–2686.e3.
  mla: Lawrence, Emma J., et al. “Natural Variation in TBP-ASSOCIATED FACTOR 4b Controls
    Meiotic Crossover and Germline Transcription in Arabidopsis.” <i>Current Biology</i>,
    vol. 29, no. 16, Elsevier, 2019, p. 2676–2686.e3, doi:<a href="https://doi.org/10.1016/j.cub.2019.06.084">10.1016/j.cub.2019.06.084</a>.
  short: E.J. Lawrence, H. Gao, A.J. Tock, C. Lambing, A.R. Blackwell, X. Feng, I.R.
    Henderson, Current Biology 29 (2019) 2676–2686.e3.
date_created: 2023-01-16T09:16:33Z
date_published: 2019-08-19T00:00:00Z
date_updated: 2025-01-14T14:31:02Z
day: '19'
department:
- _id: XiFe
doi: 10.1016/j.cub.2019.06.084
extern: '1'
external_id:
  pmid:
  - '31378616'
fulldoi: https://doi.org/10.1016/j.cub.2019.06.084
intvolume: '        29'
issue: '16'
keyword:
- General Agricultural and Biological Sciences
- General Biochemistry
- Genetics and Molecular Biology
language:
- iso: eng
month: '08'
oa_version: None
page: 2676-2686.e3
pmid: 1
publication: Current Biology
publication_identifier:
  issn:
  - 0960-9822
publication_status: published
publisher: Elsevier
quality_controlled: '1'
scopus_import: '1'
status: public
title: Natural variation in TBP-ASSOCIATED FACTOR 4b controls meiotic crossover and
  germline transcription in Arabidopsis
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 29
year: '2019'
...
---
_id: '12192'
abstract:
- lang: eng
  text: Transposable elements (TEs), the movement of which can damage the genome,
    are epigenetically silenced in eukaryotes. Intriguingly, TEs are activated in
    the sperm companion cell – vegetative cell (VC) – of the flowering plant Arabidopsis
    thaliana. However, the extent and mechanism of this activation are unknown. Here
    we show that about 100 heterochromatic TEs are activated in VCs, mostly by DEMETER-catalyzed
    DNA demethylation. We further demonstrate that DEMETER access to some of these
    TEs is permitted by the natural depletion of linker histone H1 in VCs. Ectopically
    expressed H1 suppresses TEs in VCs by reducing DNA demethylation and via a methylation-independent
    mechanism. We demonstrate that H1 is required for heterochromatin condensation
    in plant cells and show that H1 overexpression creates heterochromatic foci in
    the VC progenitor cell. Taken together, our results demonstrate that the natural
    depletion of H1 during male gametogenesis facilitates DEMETER-directed DNA demethylation,
    heterochromatin relaxation, and TE activation.
acknowledgement: We thank David Twell for the pDONR-P4-P1R-pLAT52 and pDONR-P2R-P3-mRFP
  vectors, the John Innes Centre Bioimaging Facility (Elaine Barclay and Grant Calder)
  for their assistance with microscopy, and the Norwich BioScience Institute Partnership
  Computing infrastructure for Science Group for High Performance Computing resources.
  This work was funded by a Biotechnology and Biological Sciences Research Council
  (BBSRC) David Phillips Fellowship (BB/L025043/1; SH, JZ and XF), a European Research
  Council Starting Grant ('SexMeth' 804981; XF) and a Grant to Exceptional Researchers
  by the Gatsby Charitable Foundation (SH and XF).
article_number: '42530'
article_processing_charge: No
article_type: original
author:
- first_name: Shengbo
  full_name: He, Shengbo
  last_name: He
- first_name: Martin
  full_name: Vickers, Martin
  last_name: Vickers
- first_name: Jingyi
  full_name: Zhang, Jingyi
  last_name: Zhang
- first_name: Xiaoqi
  full_name: Feng, Xiaoqi
  id: e0164712-22ee-11ed-b12a-d80fcdf35958
  last_name: Feng
  orcid: 0000-0002-4008-1234
citation:
  ama: He S, Vickers M, Zhang J, Feng X. Natural depletion of histone H1 in sex cells
    causes DNA demethylation, heterochromatin decondensation and transposon activation.
    <i>eLife</i>. 2019;8. doi:<a href="https://doi.org/10.7554/elife.42530">10.7554/elife.42530</a>
  apa: He, S., Vickers, M., Zhang, J., &#38; Feng, X. (2019). Natural depletion of
    histone H1 in sex cells causes DNA demethylation, heterochromatin decondensation
    and transposon activation. <i>ELife</i>. eLife Sciences Publications. <a href="https://doi.org/10.7554/elife.42530">https://doi.org/10.7554/elife.42530</a>
  chicago: He, Shengbo, Martin Vickers, Jingyi Zhang, and Xiaoqi Feng. “Natural Depletion
    of Histone H1 in Sex Cells Causes DNA Demethylation, Heterochromatin Decondensation
    and Transposon Activation.” <i>ELife</i>. eLife Sciences Publications, 2019. <a
    href="https://doi.org/10.7554/elife.42530">https://doi.org/10.7554/elife.42530</a>.
  ieee: S. He, M. Vickers, J. Zhang, and X. Feng, “Natural depletion of histone H1
    in sex cells causes DNA demethylation, heterochromatin decondensation and transposon
    activation,” <i>eLife</i>, vol. 8. eLife Sciences Publications, 2019.
  ista: He S, Vickers M, Zhang J, Feng X. 2019. Natural depletion of histone H1 in
    sex cells causes DNA demethylation, heterochromatin decondensation and transposon
    activation. eLife. 8, 42530.
  mla: He, Shengbo, et al. “Natural Depletion of Histone H1 in Sex Cells Causes DNA
    Demethylation, Heterochromatin Decondensation and Transposon Activation.” <i>ELife</i>,
    vol. 8, 42530, eLife Sciences Publications, 2019, doi:<a href="https://doi.org/10.7554/elife.42530">10.7554/elife.42530</a>.
  short: S. He, M. Vickers, J. Zhang, X. Feng, ELife 8 (2019).
date_created: 2023-01-16T09:17:21Z
date_published: 2019-05-28T00:00:00Z
date_updated: 2025-01-14T14:31:41Z
day: '28'
ddc:
- '580'
department:
- _id: XiFe
doi: 10.7554/elife.42530
extern: '1'
external_id:
  unknown:
  - '31135340'
file:
- access_level: open_access
  checksum: ea6b89c20d59e5eb3646916fe5d568ad
  content_type: application/pdf
  creator: alisjak
  date_created: 2023-02-07T09:42:46Z
  date_updated: 2023-02-07T09:42:46Z
  file_id: '12525'
  file_name: 2019_elife_He.pdf
  file_size: 2493837
  relation: main_file
  success: 1
file_date_updated: 2023-02-07T09:42:46Z
fulldoi: https://doi.org/10.7554/elife.42530
has_accepted_license: '1'
intvolume: '         8'
keyword:
- General Immunology and Microbiology
- General Biochemistry
- Genetics and Molecular Biology
- General Medicine
- General Neuroscience
language:
- iso: eng
month: '05'
oa: 1
oa_version: Published Version
publication: eLife
publication_identifier:
  issn:
  - 2050-084X
publication_status: published
publisher: eLife Sciences Publications
quality_controlled: '1'
scopus_import: '1'
status: public
title: Natural depletion of histone H1 in sex cells causes DNA demethylation, heterochromatin
  decondensation and transposon activation
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: 8
year: '2019'
...
---
_id: '13067'
abstract:
- lang: eng
  text: Genetic incompatibilities contribute to reproductive isolation between many
    diverging populations, but it is still unclear to what extent they play a role
    if divergence happens with gene flow. In contact zones between the "Crab" and
    "Wave" ecotypes of the snail Littorina saxatilis divergent selection forms strong
    barriers to gene flow, while the role of postzygotic barriers due to selection
    against hybrids remains unclear. High embryo abortion rates in this species could
    indicate the presence of such barriers. Postzygotic barriers might include genetic
    incompatibilities (e.g. Dobzhansky-Muller incompatibilities) but also maladaptation,
    both expected to be most pronounced in contact zones. In addition, embryo abortion
    might reflect physiological stress on females and embryos independent of any genetic
    stress. We examined all embryos of &gt;500 females sampled outside and inside
    contact zones of three populations in Sweden. Females' clutch size ranged from
    0 to 1011 embryos (mean 130±123) and abortion rates varied between 0 and100% (mean
    12%). We described female genotypes by using a hybrid index based on hundreds
    of SNPs differentiated between ecotypes with which we characterised female genotypes.
    We also calculated female SNP heterozygosity and inversion karyotype. Clutch size
    did not vary with female hybrid index and abortion rates were only weakly related
    to hybrid index in two sites but not at all in a third site. No additional variation
    in abortion rate was explained by female SNP heterozygosity, but increased female
    inversion heterozygosity added slightly to increased abortion. Our results show
    only weak and probably biologically insignificant postzygotic barriers contributing
    to ecotype divergence and the high and variable abortion rates were marginally,
    if at all, explained by hybrid index of females.
article_processing_charge: No
author:
- first_name: Kerstin
  full_name: Johannesson, Kerstin
  last_name: Johannesson
- first_name: Zuzanna
  full_name: Zagrodzka, Zuzanna
  last_name: Zagrodzka
- first_name: Rui
  full_name: Faria, Rui
  last_name: Faria
- first_name: Anja M
  full_name: Westram, Anja M
  id: 3C147470-F248-11E8-B48F-1D18A9856A87
  last_name: Westram
  orcid: 0000-0003-1050-4969
- first_name: Roger
  full_name: Butlin, Roger
  last_name: Butlin
citation:
  ama: 'Johannesson K, Zagrodzka Z, Faria R, Westram AM, Butlin R. Data from: Is embryo
    abortion a postzygotic barrier to gene flow between Littorina ecotypes? 2019.
    doi:<a href="https://doi.org/10.5061/DRYAD.TB2RBNZWK">10.5061/DRYAD.TB2RBNZWK</a>'
  apa: 'Johannesson, K., Zagrodzka, Z., Faria, R., Westram, A. M., &#38; Butlin, R.
    (2019). Data from: Is embryo abortion a postzygotic barrier to gene flow between
    Littorina ecotypes? Dryad. <a href="https://doi.org/10.5061/DRYAD.TB2RBNZWK">https://doi.org/10.5061/DRYAD.TB2RBNZWK</a>'
  chicago: 'Johannesson, Kerstin, Zuzanna Zagrodzka, Rui Faria, Anja M Westram, and
    Roger Butlin. “Data from: Is Embryo Abortion a Postzygotic Barrier to Gene Flow
    between Littorina Ecotypes?” Dryad, 2019. <a href="https://doi.org/10.5061/DRYAD.TB2RBNZWK">https://doi.org/10.5061/DRYAD.TB2RBNZWK</a>.'
  ieee: 'K. Johannesson, Z. Zagrodzka, R. Faria, A. M. Westram, and R. Butlin, “Data
    from: Is embryo abortion a postzygotic barrier to gene flow between Littorina
    ecotypes?” Dryad, 2019.'
  ista: 'Johannesson K, Zagrodzka Z, Faria R, Westram AM, Butlin R. 2019. Data from:
    Is embryo abortion a postzygotic barrier to gene flow between Littorina ecotypes?,
    Dryad, <a href="https://doi.org/10.5061/DRYAD.TB2RBNZWK">10.5061/DRYAD.TB2RBNZWK</a>.'
  mla: 'Johannesson, Kerstin, et al. <i>Data from: Is Embryo Abortion a Postzygotic
    Barrier to Gene Flow between Littorina Ecotypes?</i> Dryad, 2019, doi:<a href="https://doi.org/10.5061/DRYAD.TB2RBNZWK">10.5061/DRYAD.TB2RBNZWK</a>.'
  short: K. Johannesson, Z. Zagrodzka, R. Faria, A.M. Westram, R. Butlin, (2019).
date_created: 2023-05-23T16:36:27Z
date_published: 2019-12-02T00:00:00Z
date_updated: 2025-07-10T11:54:22Z
day: '02'
ddc:
- '570'
department:
- _id: NiBa
doi: 10.5061/DRYAD.TB2RBNZWK
fulldoi: https://doi.org/10.5061/DRYAD.TB2RBNZWK
license: https://creativecommons.org/publicdomain/zero/1.0/
main_file_link:
- open_access: '1'
  url: https://doi.org/10.5061/dryad.tb2rbnzwk
month: '12'
oa: 1
oa_version: Published Version
publisher: Dryad
related_material:
  record:
  - id: '7205'
    relation: used_in_publication
    status: public
status: public
title: 'Data from: Is embryo abortion a postzygotic barrier to gene flow between Littorina
  ecotypes?'
tmp:
  image: /images/cc_0.png
  legal_code_url: https://creativecommons.org/publicdomain/zero/1.0/legalcode
  name: Creative Commons Public Domain Dedication (CC0 1.0)
  short: CC0 (1.0)
type: research_data_reference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2019'
...
