---
_id: '8581'
abstract:
- lang: eng
  text: The majority of adenosine triphosphate (ATP) powering cellular processes in
    eukaryotes is produced by the mitochondrial F1Fo ATP synthase. Here, we present
    the atomic models of the membrane Fo domain and the entire mammalian (ovine) F1Fo,
    determined by cryo-electron microscopy. Subunits in the membrane domain are arranged
    in the ‘proton translocation cluster’ attached to the c-ring and a more distant
    ‘hook apparatus’ holding subunit e. Unexpectedly, this subunit is anchored to
    a lipid ‘plug’ capping the c-ring. We present a detailed proton translocation
    pathway in mammalian Fo and key inter-monomer contacts in F1Fo multimers. Cryo-EM
    maps of F1Fo exposed to calcium reveal a retracted subunit e and a disassembled
    c-ring, suggesting permeability transition pore opening. We propose a model for
    the permeability transition pore opening, whereby subunit e pulls the lipid plug
    out of the c-ring. Our structure will allow the design of drugs for many emerging
    applications in medicine.
acknowledged_ssus:
- _id: EM-Fac
- _id: ScienComp
acknowledgement: We thank J. Novacek from CEITEC (Brno, Czech Republic) for assistance
  with collecting the FEI Krios dataset and iNEXT for providing access to CEITEC.
  We thank the IST Austria EM facility for access and assistance with collecting the
  FEI Glacios dataset. Data processing was performed at the IST high-performance computing
  cluster. This work has been supported by iNEXT EM HEDC (proposal 4506), funded by
  the Horizon 2020 Programme of the European Commission.
article_processing_charge: No
article_type: original
author:
- first_name: Gergely
  full_name: Pinke, Gergely
  id: 4D5303E6-F248-11E8-B48F-1D18A9856A87
  last_name: Pinke
- first_name: Long
  full_name: Zhou, Long
  id: 3E751364-F248-11E8-B48F-1D18A9856A87
  last_name: Zhou
  orcid: 0000-0002-1864-8951
- first_name: Leonid A
  full_name: Sazanov, Leonid A
  id: 338D39FE-F248-11E8-B48F-1D18A9856A87
  last_name: Sazanov
  orcid: 0000-0002-0977-7989
citation:
  ama: Pinke G, Zhou L, Sazanov LA. Cryo-EM structure of the entire mammalian F-type
    ATP synthase. <i>Nature Structural and Molecular Biology</i>. 2020;27(11):1077-1085.
    doi:<a href="https://doi.org/10.1038/s41594-020-0503-8">10.1038/s41594-020-0503-8</a>
  apa: Pinke, G., Zhou, L., &#38; Sazanov, L. A. (2020). Cryo-EM structure of the
    entire mammalian F-type ATP synthase. <i>Nature Structural and Molecular Biology</i>.
    Springer Nature. <a href="https://doi.org/10.1038/s41594-020-0503-8">https://doi.org/10.1038/s41594-020-0503-8</a>
  chicago: Pinke, Gergely, Long Zhou, and Leonid A Sazanov. “Cryo-EM Structure of
    the Entire Mammalian F-Type ATP Synthase.” <i>Nature Structural and Molecular
    Biology</i>. Springer Nature, 2020. <a href="https://doi.org/10.1038/s41594-020-0503-8">https://doi.org/10.1038/s41594-020-0503-8</a>.
  ieee: G. Pinke, L. Zhou, and L. A. Sazanov, “Cryo-EM structure of the entire mammalian
    F-type ATP synthase,” <i>Nature Structural and Molecular Biology</i>, vol. 27,
    no. 11. Springer Nature, pp. 1077–1085, 2020.
  ista: Pinke G, Zhou L, Sazanov LA. 2020. Cryo-EM structure of the entire mammalian
    F-type ATP synthase. Nature Structural and Molecular Biology. 27(11), 1077–1085.
  mla: Pinke, Gergely, et al. “Cryo-EM Structure of the Entire Mammalian F-Type ATP
    Synthase.” <i>Nature Structural and Molecular Biology</i>, vol. 27, no. 11, Springer
    Nature, 2020, pp. 1077–85, doi:<a href="https://doi.org/10.1038/s41594-020-0503-8">10.1038/s41594-020-0503-8</a>.
  short: G. Pinke, L. Zhou, L.A. Sazanov, Nature Structural and Molecular Biology
    27 (2020) 1077–1085.
date_created: 2020-09-28T08:59:27Z
date_published: 2020-11-01T00:00:00Z
date_updated: 2025-07-10T11:57:09Z
day: '01'
department:
- _id: LeSa
doi: 10.1038/s41594-020-0503-8
external_id:
  isi:
  - '000569299400004'
  pmid:
  - '32929284'
intvolume: '        27'
isi: 1
issue: '11'
language:
- iso: eng
month: '11'
oa_version: None
page: 1077-1085
pmid: 1
publication: Nature Structural and Molecular Biology
publication_identifier:
  eissn:
  - 1545-9985
  issn:
  - 1545-9993
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
related_material:
  link:
  - description: News on IST Homepage
    relation: press_release
    url: https://ist.ac.at/en/news/structure-of-atpase-solved/
scopus_import: '1'
status: public
title: Cryo-EM structure of the entire mammalian F-type ATP synthase
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 27
year: '2020'
...
---
_id: '8588'
abstract:
- lang: eng
  text: Dipolar (or spatially indirect) excitons (IXs) in semiconductor double quantum
    well (DQW) subjected to an electric field are neutral species with a dipole moment
    oriented perpendicular to the DQW plane. Here, we theoretically study interactions
    between IXs in stacked DQW bilayers, where the dipolar coupling can be either
    attractive or repulsive depending on the relative positions of the particles.
    By using microscopic band structure calculations to determine the electronic states
    forming the excitons, we show that the attractive dipolar interaction between
    stacked IXs deforms their electronic wave function, thereby increasing the inter-DQW
    interaction energy and making the IX even more electrically polarizable. Many-particle
    interaction effects are addressed by considering the coupling between a single
    IX in one of the DQWs to a cloud of IXs in the other DQW, which is modeled either
    as a closed-packed lattice or as a continuum IX fluid. We find that the lattice
    model yields IX interlayer binding energies decreasing with increasing lattice
    density. This behavior is due to the dominating role of the intra-DQW dipolar
    repulsion, which prevents more than one exciton from entering the attractive region
    of the inter-DQW coupling. Finally, both models shows that the single IX distorts
    the distribution of IXs in the adjacent DQW, thus inducing the formation of an
    IX dipolar polaron (dipolaron). While the interlayer binding energy reduces with
    IX density for lattice dipolarons, the continuous polaron model predicts a nonmonotonous
    dependence on density in semiquantitative agreement with a recent experimental
    study [cf. Hubert et al., Phys. Rev. X 9, 021026 (2019)].
acknowledgement: "We thank W. Kaganer for discussions and for comment on the manuscript.
  We acknowledge the financial support from the German-Israeli Foundation (GIF), grant
  agreement I-1277-303.10/2014. M.L. acknowledges support by the Austrian Science
  Fund (FWF), under project No. P29902-N27, and by the European Research Council (ERC)
  Starting Grant No. 801770 (ANGULON). A.G. acknowledges support by the European Unions
  Horizon 2020 research and innovation\r\nprogram under the Marie Skodowska-Curie
  grant agreement No 754411. P.V.S acknowledges financial support\r\nfrom the Deutsche
  Forschungsgemeinschaft (DFG) under\r\nProject No. SA 598/12-1."
article_number: '045307'
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: C.
  full_name: Hubert, C.
  last_name: Hubert
- first_name: K.
  full_name: Cohen, K.
  last_name: Cohen
- first_name: Areg
  full_name: Ghazaryan, Areg
  id: 4AF46FD6-F248-11E8-B48F-1D18A9856A87
  last_name: Ghazaryan
  orcid: 0000-0001-9666-3543
- first_name: Mikhail
  full_name: Lemeshko, Mikhail
  id: 37CB05FA-F248-11E8-B48F-1D18A9856A87
  last_name: Lemeshko
  orcid: 0000-0002-6990-7802
- first_name: R.
  full_name: Rapaport, R.
  last_name: Rapaport
- first_name: P. V.
  full_name: Santos, P. V.
  last_name: Santos
citation:
  ama: Hubert C, Cohen K, Ghazaryan A, Lemeshko M, Rapaport R, Santos PV. Attractive
    interactions, molecular complexes, and polarons in coupled dipolar exciton fluids.
    <i>Physical Review B</i>. 2020;102(4). doi:<a href="https://doi.org/10.1103/physrevb.102.045307">10.1103/physrevb.102.045307</a>
  apa: Hubert, C., Cohen, K., Ghazaryan, A., Lemeshko, M., Rapaport, R., &#38; Santos,
    P. V. (2020). Attractive interactions, molecular complexes, and polarons in coupled
    dipolar exciton fluids. <i>Physical Review B</i>. American Physical Society. <a
    href="https://doi.org/10.1103/physrevb.102.045307">https://doi.org/10.1103/physrevb.102.045307</a>
  chicago: Hubert, C., K. Cohen, Areg Ghazaryan, Mikhail Lemeshko, R. Rapaport, and
    P. V. Santos. “Attractive Interactions, Molecular Complexes, and Polarons in Coupled
    Dipolar Exciton Fluids.” <i>Physical Review B</i>. American Physical Society,
    2020. <a href="https://doi.org/10.1103/physrevb.102.045307">https://doi.org/10.1103/physrevb.102.045307</a>.
  ieee: C. Hubert, K. Cohen, A. Ghazaryan, M. Lemeshko, R. Rapaport, and P. V. Santos,
    “Attractive interactions, molecular complexes, and polarons in coupled dipolar
    exciton fluids,” <i>Physical Review B</i>, vol. 102, no. 4. American Physical
    Society, 2020.
  ista: Hubert C, Cohen K, Ghazaryan A, Lemeshko M, Rapaport R, Santos PV. 2020. Attractive
    interactions, molecular complexes, and polarons in coupled dipolar exciton fluids.
    Physical Review B. 102(4), 045307.
  mla: Hubert, C., et al. “Attractive Interactions, Molecular Complexes, and Polarons
    in Coupled Dipolar Exciton Fluids.” <i>Physical Review B</i>, vol. 102, no. 4,
    045307, American Physical Society, 2020, doi:<a href="https://doi.org/10.1103/physrevb.102.045307">10.1103/physrevb.102.045307</a>.
  short: C. Hubert, K. Cohen, A. Ghazaryan, M. Lemeshko, R. Rapaport, P.V. Santos,
    Physical Review B 102 (2020).
date_created: 2020-09-30T10:33:43Z
date_published: 2020-07-21T00:00:00Z
date_updated: 2025-04-14T07:43:49Z
day: '21'
department:
- _id: MiLe
doi: 10.1103/physrevb.102.045307
ec_funded: 1
external_id:
  arxiv:
  - '1910.06015'
  isi:
  - '000550579100004'
intvolume: '       102'
isi: 1
issue: '4'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://arxiv.org/abs/1910.06015
month: '07'
oa: 1
oa_version: Preprint
project:
- _id: 26031614-B435-11E9-9278-68D0E5697425
  call_identifier: FWF
  grant_number: P29902
  name: Quantum rotations in the presence of a many-body environment
- _id: 2688CF98-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '801770'
  name: 'Angulon: physics and applications of a new quasiparticle'
- _id: 260C2330-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '754411'
  name: ISTplus - Postdoctoral Fellowships
publication: Physical Review B
publication_identifier:
  eissn:
  - 2469-9969
  issn:
  - 2469-9950
publication_status: published
publisher: American Physical Society
quality_controlled: '1'
scopus_import: '1'
status: public
title: Attractive interactions, molecular complexes, and polarons in coupled dipolar
  exciton fluids
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 102
year: '2020'
...
---
_id: '8592'
abstract:
- lang: eng
  text: Glioblastoma is the most malignant cancer in the brain and currently incurable.
    It is urgent to identify effective targets for this lethal disease. Inhibition
    of such targets should suppress the growth of cancer cells and, ideally also precancerous
    cells for early prevention, but minimally affect their normal counterparts. Using
    genetic mouse models with neural stem cells (NSCs) or oligodendrocyte precursor
    cells (OPCs) as the cells‐of‐origin/mutation, it is shown that the susceptibility
    of cells within the development hierarchy of glioma to the knockout of insulin‐like
    growth factor I receptor (IGF1R) is determined not only by their oncogenic states,
    but also by their cell identities/states. Knockout of IGF1R selectively disrupts
    the growth of mutant and transformed, but not normal OPCs, or NSCs. The desirable
    outcome of IGF1R knockout on cell growth requires the mutant cells to commit to
    the OPC identity regardless of its development hierarchical status. At the molecular
    level, oncogenic mutations reprogram the cellular network of OPCs and force them
    to depend more on IGF1R for their growth. A new‐generation brain‐penetrable, orally
    available IGF1R inhibitor harnessing tumor OPCs in the brain is also developed.
    The findings reveal the cellular window of IGF1R targeting and establish IGF1R
    as an effective target for the prevention and treatment of glioblastoma.
acknowledgement: The authors thank Drs. J. Eisen, QR. Lu, S. Duan, Z‐H. Li, W. Mo,
  and Q. Wu for their critical comments on the manuscript. They also thank Dr. H.
  Zong for providing the CKO_NG2‐CreER model. This work is supported by the National
  Key Research and Development Program of China, Stem Cell and Translational Research
  (2016YFA0101201 to C.L., 2016YFA0100303 to Y.J.W.), the National Natural Science
  Foundation of China (81673035 and 81972915 to C.L., 81472722 to Y.J.W.), the Science
  Foundation for Distinguished Young Scientists of Zhejiang Province (LR17H160001
  to C.L.), Fundamental Research Funds for the Central Universities (2016QNA7023 and
  2017QNA7028 to C.L.) and the Thousand Talent Program for Young Outstanding Scientists,
  China (to C.L.), IST Austria institutional funds (to S.H.), European Research Council
  (ERC) under the European Union's Horizon 2020 research and innovation programme
  (725780 LinPro to S.H.). C.L. is a scholar of K. C. Wong Education Foundation.
article_number: '2001724'
article_processing_charge: No
article_type: original
author:
- first_name: Anhao
  full_name: Tian, Anhao
  last_name: Tian
- first_name: Bo
  full_name: Kang, Bo
  last_name: Kang
- first_name: Baizhou
  full_name: Li, Baizhou
  last_name: Li
- first_name: Biying
  full_name: Qiu, Biying
  last_name: Qiu
- first_name: Wenhong
  full_name: Jiang, Wenhong
  last_name: Jiang
- first_name: Fangjie
  full_name: Shao, Fangjie
  last_name: Shao
- first_name: Qingqing
  full_name: Gao, Qingqing
  last_name: Gao
- first_name: Rui
  full_name: Liu, Rui
  last_name: Liu
- first_name: Chengwei
  full_name: Cai, Chengwei
  last_name: Cai
- first_name: Rui
  full_name: Jing, Rui
  last_name: Jing
- first_name: Wei
  full_name: Wang, Wei
  last_name: Wang
- first_name: Pengxiang
  full_name: Chen, Pengxiang
  last_name: Chen
- first_name: Qinghui
  full_name: Liang, Qinghui
  last_name: Liang
- first_name: Lili
  full_name: Bao, Lili
  last_name: Bao
- first_name: Jianghong
  full_name: Man, Jianghong
  last_name: Man
- first_name: Yan
  full_name: Wang, Yan
  last_name: Wang
- first_name: Yu
  full_name: Shi, Yu
  last_name: Shi
- first_name: Jin
  full_name: Li, Jin
  last_name: Li
- first_name: Minmin
  full_name: Yang, Minmin
  last_name: Yang
- first_name: Lisha
  full_name: Wang, Lisha
  last_name: Wang
- first_name: Jianmin
  full_name: Zhang, Jianmin
  last_name: Zhang
- first_name: Simon
  full_name: Hippenmeyer, Simon
  id: 37B36620-F248-11E8-B48F-1D18A9856A87
  last_name: Hippenmeyer
  orcid: 0000-0003-2279-1061
- first_name: Junming
  full_name: Zhu, Junming
  last_name: Zhu
- first_name: Xiuwu
  full_name: Bian, Xiuwu
  last_name: Bian
- first_name: Ying‐Jie
  full_name: Wang, Ying‐Jie
  last_name: Wang
- first_name: Chong
  full_name: Liu, Chong
  last_name: Liu
citation:
  ama: Tian A, Kang B, Li B, et al. Oncogenic state and cell identity combinatorially
    dictate the susceptibility of cells within glioma development hierarchy to IGF1R
    targeting. <i>Advanced Science</i>. 2020;7(21). doi:<a href="https://doi.org/10.1002/advs.202001724">10.1002/advs.202001724</a>
  apa: Tian, A., Kang, B., Li, B., Qiu, B., Jiang, W., Shao, F., … Liu, C. (2020).
    Oncogenic state and cell identity combinatorially dictate the susceptibility of
    cells within glioma development hierarchy to IGF1R targeting. <i>Advanced Science</i>.
    Wiley. <a href="https://doi.org/10.1002/advs.202001724">https://doi.org/10.1002/advs.202001724</a>
  chicago: Tian, Anhao, Bo Kang, Baizhou Li, Biying Qiu, Wenhong Jiang, Fangjie Shao,
    Qingqing Gao, et al. “Oncogenic State and Cell Identity Combinatorially Dictate
    the Susceptibility of Cells within Glioma Development Hierarchy to IGF1R Targeting.”
    <i>Advanced Science</i>. Wiley, 2020. <a href="https://doi.org/10.1002/advs.202001724">https://doi.org/10.1002/advs.202001724</a>.
  ieee: A. Tian <i>et al.</i>, “Oncogenic state and cell identity combinatorially
    dictate the susceptibility of cells within glioma development hierarchy to IGF1R
    targeting,” <i>Advanced Science</i>, vol. 7, no. 21. Wiley, 2020.
  ista: Tian A, Kang B, Li B, Qiu B, Jiang W, Shao F, Gao Q, Liu R, Cai C, Jing R,
    Wang W, Chen P, Liang Q, Bao L, Man J, Wang Y, Shi Y, Li J, Yang M, Wang L, Zhang
    J, Hippenmeyer S, Zhu J, Bian X, Wang Y, Liu C. 2020. Oncogenic state and cell
    identity combinatorially dictate the susceptibility of cells within glioma development
    hierarchy to IGF1R targeting. Advanced Science. 7(21), 2001724.
  mla: Tian, Anhao, et al. “Oncogenic State and Cell Identity Combinatorially Dictate
    the Susceptibility of Cells within Glioma Development Hierarchy to IGF1R Targeting.”
    <i>Advanced Science</i>, vol. 7, no. 21, 2001724, Wiley, 2020, doi:<a href="https://doi.org/10.1002/advs.202001724">10.1002/advs.202001724</a>.
  short: A. Tian, B. Kang, B. Li, B. Qiu, W. Jiang, F. Shao, Q. Gao, R. Liu, C. Cai,
    R. Jing, W. Wang, P. Chen, Q. Liang, L. Bao, J. Man, Y. Wang, Y. Shi, J. Li, M.
    Yang, L. Wang, J. Zhang, S. Hippenmeyer, J. Zhu, X. Bian, Y. Wang, C. Liu, Advanced
    Science 7 (2020).
date_created: 2020-10-01T09:44:13Z
date_published: 2020-11-04T00:00:00Z
date_updated: 2025-06-12T06:59:38Z
day: '04'
ddc:
- '570'
department:
- _id: SiHi
doi: 10.1002/advs.202001724
ec_funded: 1
external_id:
  isi:
  - '000573860700001'
  pmid:
  - '33173731'
file:
- access_level: open_access
  checksum: 92818c23ecc70e35acfa671f3cfb9909
  content_type: application/pdf
  creator: dernst
  date_created: 2020-12-10T14:07:24Z
  date_updated: 2020-12-10T14:07:24Z
  file_id: '8938'
  file_name: 2020_AdvScience_Tian.pdf
  file_size: 7835833
  relation: main_file
  success: 1
file_date_updated: 2020-12-10T14:07:24Z
has_accepted_license: '1'
intvolume: '         7'
isi: 1
issue: '21'
keyword:
- General Engineering
- General Physics and Astronomy
- General Materials Science
- Medicine (miscellaneous)
- General Chemical Engineering
- Biochemistry
- Genetics and Molecular Biology (miscellaneous)
language:
- iso: eng
month: '11'
oa: 1
oa_version: Published Version
pmid: 1
project:
- _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: Advanced Science
publication_identifier:
  issn:
  - 2198-3844
publication_status: published
publisher: Wiley
quality_controlled: '1'
scopus_import: '1'
status: public
title: Oncogenic state and cell identity combinatorially dictate the susceptibility
  of cells within glioma development hierarchy to IGF1R targeting
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: 7
year: '2020'
...
---
_id: '8599'
abstract:
- lang: eng
  text: A graph game is a two-player zero-sum game in which the players move a token
    throughout a graph to produce an infinite path, which determines the winner or
    payoff of the game. In bidding games, both players have budgets, and in each turn,
    we hold an "auction" (bidding) to determine which player moves the token. In this
    survey, we consider several bidding mechanisms and study their effect on the properties
    of the game. Specifically, bidding games, and in particular bidding games of infinite
    duration, have an intriguing equivalence with random-turn games in which in each
    turn, the player who moves is chosen randomly. We show how minor changes in the
    bidding mechanism lead to unexpected differences in the equivalence with random-turn
    games.
acknowledgement: We would like to thank all our collaborators Milad Aghajohari, Ventsislav
  Chonev, Rasmus Ibsen-Jensen, Ismäel Jecker, Petr Novotný, Josef Tkadlec, and Ðorđe
  Žikelić; we hope the collaboration was as fun and meaningful for you as it was for
  us.
alternative_title:
- LIPIcs
article_number: '2'
article_processing_charge: No
author:
- first_name: Guy
  full_name: Avni, Guy
  id: 463C8BC2-F248-11E8-B48F-1D18A9856A87
  last_name: Avni
  orcid: 0000-0001-5588-8287
- first_name: Thomas A
  full_name: Henzinger, Thomas A
  id: 40876CD8-F248-11E8-B48F-1D18A9856A87
  last_name: Henzinger
  orcid: 0000-0002-2985-7724
citation:
  ama: 'Avni G, Henzinger TA. A survey of bidding games on graphs. In: <i>31st International
    Conference on Concurrency Theory</i>. Vol 171. Schloss Dagstuhl - Leibniz-Zentrum
    für Informatik; 2020. doi:<a href="https://doi.org/10.4230/LIPIcs.CONCUR.2020.2">10.4230/LIPIcs.CONCUR.2020.2</a>'
  apa: 'Avni, G., &#38; Henzinger, T. A. (2020). A survey of bidding games on graphs.
    In <i>31st International Conference on Concurrency Theory</i> (Vol. 171). Virtual:
    Schloss Dagstuhl - Leibniz-Zentrum für Informatik. <a href="https://doi.org/10.4230/LIPIcs.CONCUR.2020.2">https://doi.org/10.4230/LIPIcs.CONCUR.2020.2</a>'
  chicago: Avni, Guy, and Thomas A Henzinger. “A Survey of Bidding Games on Graphs.”
    In <i>31st International Conference on Concurrency Theory</i>, Vol. 171. Schloss
    Dagstuhl - Leibniz-Zentrum für Informatik, 2020. <a href="https://doi.org/10.4230/LIPIcs.CONCUR.2020.2">https://doi.org/10.4230/LIPIcs.CONCUR.2020.2</a>.
  ieee: G. Avni and T. A. Henzinger, “A survey of bidding games on graphs,” in <i>31st
    International Conference on Concurrency Theory</i>, Virtual, 2020, vol. 171.
  ista: 'Avni G, Henzinger TA. 2020. A survey of bidding games on graphs. 31st International
    Conference on Concurrency Theory. CONCUR: Conference on Concurrency Theory, LIPIcs,
    vol. 171, 2.'
  mla: Avni, Guy, and Thomas A. Henzinger. “A Survey of Bidding Games on Graphs.”
    <i>31st International Conference on Concurrency Theory</i>, vol. 171, 2, Schloss
    Dagstuhl - Leibniz-Zentrum für Informatik, 2020, doi:<a href="https://doi.org/10.4230/LIPIcs.CONCUR.2020.2">10.4230/LIPIcs.CONCUR.2020.2</a>.
  short: G. Avni, T.A. Henzinger, in:, 31st International Conference on Concurrency
    Theory, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2020.
conference:
  end_date: 2020-09-04
  location: Virtual
  name: 'CONCUR: Conference on Concurrency Theory'
  start_date: 2020-09-01
corr_author: '1'
date_created: 2020-10-04T22:01:36Z
date_published: 2020-08-06T00:00:00Z
date_updated: 2025-07-10T11:57:09Z
day: '06'
ddc:
- '000'
department:
- _id: ToHe
doi: 10.4230/LIPIcs.CONCUR.2020.2
file:
- access_level: open_access
  checksum: 8f33b098e73724e0ac817f764d8e1a2d
  content_type: application/pdf
  creator: dernst
  date_created: 2020-10-05T14:13:19Z
  date_updated: 2020-10-05T14:13:19Z
  file_id: '8611'
  file_name: 2020_LIPIcsCONCUR_Avni.pdf
  file_size: 868510
  relation: main_file
  success: 1
file_date_updated: 2020-10-05T14:13:19Z
has_accepted_license: '1'
intvolume: '       171'
language:
- iso: eng
month: '08'
oa: 1
oa_version: Published Version
project:
- _id: 25F42A32-B435-11E9-9278-68D0E5697425
  call_identifier: FWF
  grant_number: Z211
  name: Formal methods for the design and analysis of complex systems
publication: 31st International Conference on Concurrency Theory
publication_identifier:
  isbn:
  - '9783959771603'
  issn:
  - 1868-8969
publication_status: published
publisher: Schloss Dagstuhl - Leibniz-Zentrum für Informatik
quality_controlled: '1'
scopus_import: '1'
status: public
title: A survey of bidding games on graphs
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/3.0/legalcode
  name: Creative Commons Attribution 3.0 Unported (CC BY 3.0)
  short: CC BY (3.0)
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 171
year: '2020'
...
---
_id: '8600'
abstract:
- lang: eng
  text: 'A vector addition system with states (VASS) consists of a finite set of states
    and counters. A transition changes the current state to the next state, and every
    counter is either incremented, or decremented, or left unchanged. A state and
    value for each counter is a configuration; and a computation is an infinite sequence
    of configurations with transitions between successive configurations. A probabilistic
    VASS consists of a VASS along with a probability distribution over the transitions
    for each state. Qualitative properties such as state and configuration reachability
    have been widely studied for VASS. In this work we consider multi-dimensional
    long-run average objectives for VASS and probabilistic VASS. For a counter, the
    cost of a configuration is the value of the counter; and the long-run average
    value of a computation for the counter is the long-run average of the costs of
    the configurations in the computation. The multi-dimensional long-run average
    problem given a VASS and a threshold value for each counter, asks whether there
    is a computation such that for each counter the long-run average value for the
    counter does not exceed the respective threshold. For probabilistic VASS, instead
    of the existence of a computation, we consider whether the expected long-run average
    value for each counter does not exceed the respective threshold. Our main results
    are as follows: we show that the multi-dimensional long-run average problem (a)
    is NP-complete for integer-valued VASS; (b) is undecidable for natural-valued
    VASS (i.e., nonnegative counters); and (c) can be solved in polynomial time for
    probabilistic integer-valued VASS, and probabilistic natural-valued VASS when
    all computations are non-terminating.'
alternative_title:
- LIPIcs
article_number: '23'
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: Thomas A
  full_name: Henzinger, Thomas A
  id: 40876CD8-F248-11E8-B48F-1D18A9856A87
  last_name: Henzinger
  orcid: 0000-0002-2985-7724
- first_name: Jan
  full_name: Otop, Jan
  id: 2FC5DA74-F248-11E8-B48F-1D18A9856A87
  last_name: Otop
citation:
  ama: 'Chatterjee K, Henzinger TA, Otop J. Multi-dimensional long-run average problems
    for vector addition systems with states. In: <i>31st International Conference
    on Concurrency Theory</i>. Vol 171. Schloss Dagstuhl - Leibniz-Zentrum für Informatik;
    2020. doi:<a href="https://doi.org/10.4230/LIPIcs.CONCUR.2020.23">10.4230/LIPIcs.CONCUR.2020.23</a>'
  apa: 'Chatterjee, K., Henzinger, T. A., &#38; Otop, J. (2020). Multi-dimensional
    long-run average problems for vector addition systems with states. In <i>31st
    International Conference on Concurrency Theory</i> (Vol. 171). Virtual: Schloss
    Dagstuhl - Leibniz-Zentrum für Informatik. <a href="https://doi.org/10.4230/LIPIcs.CONCUR.2020.23">https://doi.org/10.4230/LIPIcs.CONCUR.2020.23</a>'
  chicago: Chatterjee, Krishnendu, Thomas A Henzinger, and Jan Otop. “Multi-Dimensional
    Long-Run Average Problems for Vector Addition Systems with States.” In <i>31st
    International Conference on Concurrency Theory</i>, Vol. 171. Schloss Dagstuhl
    - Leibniz-Zentrum für Informatik, 2020. <a href="https://doi.org/10.4230/LIPIcs.CONCUR.2020.23">https://doi.org/10.4230/LIPIcs.CONCUR.2020.23</a>.
  ieee: K. Chatterjee, T. A. Henzinger, and J. Otop, “Multi-dimensional long-run average
    problems for vector addition systems with states,” in <i>31st International Conference
    on Concurrency Theory</i>, Virtual, 2020, vol. 171.
  ista: 'Chatterjee K, Henzinger TA, Otop J. 2020. Multi-dimensional long-run average
    problems for vector addition systems with states. 31st International Conference
    on Concurrency Theory. CONCUR: Conference on Concurrency Theory, LIPIcs, vol.
    171, 23.'
  mla: Chatterjee, Krishnendu, et al. “Multi-Dimensional Long-Run Average Problems
    for Vector Addition Systems with States.” <i>31st International Conference on
    Concurrency Theory</i>, vol. 171, 23, Schloss Dagstuhl - Leibniz-Zentrum für Informatik,
    2020, doi:<a href="https://doi.org/10.4230/LIPIcs.CONCUR.2020.23">10.4230/LIPIcs.CONCUR.2020.23</a>.
  short: K. Chatterjee, T.A. Henzinger, J. Otop, in:, 31st International Conference
    on Concurrency Theory, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2020.
conference:
  end_date: 2020-09-04
  location: Virtual
  name: 'CONCUR: Conference on Concurrency Theory'
  start_date: 2020-09-01
corr_author: '1'
date_created: 2020-10-04T22:01:36Z
date_published: 2020-08-06T00:00:00Z
date_updated: 2025-07-10T11:57:10Z
day: '06'
ddc:
- '000'
department:
- _id: KrCh
- _id: ToHe
doi: 10.4230/LIPIcs.CONCUR.2020.23
external_id:
  arxiv:
  - '2007.08917'
file:
- access_level: open_access
  checksum: 5039752f644c4b72b9361d21a5e31baf
  content_type: application/pdf
  creator: dernst
  date_created: 2020-10-05T14:04:25Z
  date_updated: 2020-10-05T14:04:25Z
  file_id: '8610'
  file_name: 2020_LIPIcsCONCUR_Chatterjee.pdf
  file_size: 601231
  relation: main_file
  success: 1
file_date_updated: 2020-10-05T14:04:25Z
has_accepted_license: '1'
intvolume: '       171'
language:
- iso: eng
month: '08'
oa: 1
oa_version: Published Version
project:
- _id: 25832EC2-B435-11E9-9278-68D0E5697425
  call_identifier: FWF
  grant_number: S 11407_N23
  name: Rigorous Systems Engineering
- _id: 25F2ACDE-B435-11E9-9278-68D0E5697425
  call_identifier: FWF
  grant_number: S11402-N23
  name: Rigorous Systems Engineering
- _id: 25F42A32-B435-11E9-9278-68D0E5697425
  call_identifier: FWF
  grant_number: Z211
  name: Formal methods for the design and analysis of complex systems
publication: 31st International Conference on Concurrency Theory
publication_identifier:
  isbn:
  - '9783959771603'
  issn:
  - 1868-8969
publication_status: published
publisher: Schloss Dagstuhl - Leibniz-Zentrum für Informatik
quality_controlled: '1'
scopus_import: '1'
status: public
title: Multi-dimensional long-run average problems for vector addition systems with
  states
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/3.0/legalcode
  name: Creative Commons Attribution 3.0 Unported (CC BY 3.0)
  short: CC BY (3.0)
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 171
year: '2020'
...
---
_id: '8607'
abstract:
- lang: eng
  text: Clathrin-mediated endocytosis (CME) and its core endocytic machinery are evolutionarily
    conserved across all eukaryotes. In mammals, the heterotetrameric adaptor protein
    complex-2 (AP-2) sorts plasma membrane (PM) cargoes into vesicles through the
    recognition of motifs based on tyrosine or di-leucine in their cytoplasmic tails.
    However, in plants, very little is known on how PM proteins are sorted for CME
    and whether similar motifs are required. In Arabidopsis thaliana, the brassinosteroid
    (BR) receptor, BR INSENSITIVE1 (BRI1), undergoes endocytosis that depends on clathrin
    and AP-2. Here we demonstrate that BRI1 binds directly to the medium AP-2 subunit,
    AP2M. The cytoplasmic domain of BRI1 contains five putative canonical surface-exposed
    tyrosine-based endocytic motifs. The tyrosine-to-phenylalanine substitution in
    Y898KAI reduced BRI1 internalization without affecting its kinase activity. Consistently,
    plants carrying the BRI1Y898F mutation were hypersensitive to BRs. Our study demonstrates
    that AP-2-dependent internalization of PM proteins via the recognition of functional
    tyrosine motifs also operates in plants.
article_processing_charge: No
article_type: original
author:
- first_name: D
  full_name: Liu, D
  last_name: Liu
- first_name: R
  full_name: Kumar, R
  last_name: Kumar
- first_name: Claus
  full_name: LAN, Claus
  last_name: LAN
- first_name: Alexander J
  full_name: Johnson, Alexander J
  id: 46A62C3A-F248-11E8-B48F-1D18A9856A87
  last_name: Johnson
  orcid: 0000-0002-2739-8843
- first_name: W
  full_name: Siao, W
  last_name: Siao
- first_name: I
  full_name: Vanhoutte, I
  last_name: Vanhoutte
- first_name: P
  full_name: Wang, P
  last_name: Wang
- first_name: KW
  full_name: Bender, KW
  last_name: Bender
- first_name: K
  full_name: Yperman, K
  last_name: Yperman
- first_name: S
  full_name: Martins, S
  last_name: Martins
- first_name: X
  full_name: Zhao, X
  last_name: Zhao
- first_name: G
  full_name: Vert, G
  last_name: Vert
- first_name: D
  full_name: Van Damme, D
  last_name: Van Damme
- first_name: Jiří
  full_name: Friml, Jiří
  id: 4159519E-F248-11E8-B48F-1D18A9856A87
  last_name: Friml
  orcid: 0000-0002-8302-7596
- first_name: E
  full_name: Russinova, E
  last_name: Russinova
citation:
  ama: Liu D, Kumar R, LAN C, et al. Endocytosis of BRASSINOSTEROID INSENSITIVE1 is
    partly driven by a canonical tyrosine-based Motif. <i>Plant Cell</i>. 2020;32(11):3598-3612.
    doi:<a href="https://doi.org/10.1105/tpc.20.00384">10.1105/tpc.20.00384</a>
  apa: Liu, D., Kumar, R., LAN, C., Johnson, A. J., Siao, W., Vanhoutte, I., … Russinova,
    E. (2020). Endocytosis of BRASSINOSTEROID INSENSITIVE1 is partly driven by a canonical
    tyrosine-based Motif. <i>Plant Cell</i>. American Society of Plant Biologists.
    <a href="https://doi.org/10.1105/tpc.20.00384">https://doi.org/10.1105/tpc.20.00384</a>
  chicago: Liu, D, R Kumar, Claus LAN, Alexander J Johnson, W Siao, I Vanhoutte, P
    Wang, et al. “Endocytosis of BRASSINOSTEROID INSENSITIVE1 Is Partly Driven by
    a Canonical Tyrosine-Based Motif.” <i>Plant Cell</i>. American Society of Plant
    Biologists, 2020. <a href="https://doi.org/10.1105/tpc.20.00384">https://doi.org/10.1105/tpc.20.00384</a>.
  ieee: D. Liu <i>et al.</i>, “Endocytosis of BRASSINOSTEROID INSENSITIVE1 is partly
    driven by a canonical tyrosine-based Motif,” <i>Plant Cell</i>, vol. 32, no. 11.
    American Society of Plant Biologists, pp. 3598–3612, 2020.
  ista: Liu D, Kumar R, LAN C, Johnson AJ, Siao W, Vanhoutte I, Wang P, Bender K,
    Yperman K, Martins S, Zhao X, Vert G, Van Damme D, Friml J, Russinova E. 2020.
    Endocytosis of BRASSINOSTEROID INSENSITIVE1 is partly driven by a canonical tyrosine-based
    Motif. Plant Cell. 32(11), 3598–3612.
  mla: Liu, D., et al. “Endocytosis of BRASSINOSTEROID INSENSITIVE1 Is Partly Driven
    by a Canonical Tyrosine-Based Motif.” <i>Plant Cell</i>, vol. 32, no. 11, American
    Society of Plant Biologists, 2020, pp. 3598–612, doi:<a href="https://doi.org/10.1105/tpc.20.00384">10.1105/tpc.20.00384</a>.
  short: D. Liu, R. Kumar, C. LAN, A.J. Johnson, W. Siao, I. Vanhoutte, P. Wang, K.
    Bender, K. Yperman, S. Martins, X. Zhao, G. Vert, D. Van Damme, J. Friml, E. Russinova,
    Plant Cell 32 (2020) 3598–3612.
date_created: 2020-10-05T12:45:16Z
date_published: 2020-11-01T00:00:00Z
date_updated: 2025-04-14T07:45:00Z
day: '01'
department:
- _id: JiFr
doi: 10.1105/tpc.20.00384
ec_funded: 1
external_id:
  isi:
  - '000600226800021'
  pmid:
  - '32958564'
intvolume: '        32'
isi: 1
issue: '11'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://europepmc.org/article/MED/32958564
month: '11'
oa: 1
oa_version: Published Version
page: 3598-3612
pmid: 1
project:
- _id: 26538374-B435-11E9-9278-68D0E5697425
  call_identifier: FWF
  grant_number: I03630
  name: Molecular mechanisms of endocytic cargo recognition in plants
- _id: 261099A6-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '742985'
  name: Tracing Evolution of Auxin Transport and Polarity in Plants
publication: Plant Cell
publication_identifier:
  eissn:
  - 1532-298x
  issn:
  - 1040-4651
publication_status: published
publisher: American Society of Plant Biologists
quality_controlled: '1'
scopus_import: '1'
status: public
title: Endocytosis of BRASSINOSTEROID INSENSITIVE1 is partly driven by a canonical
  tyrosine-based Motif
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 32
year: '2020'
...
---
_id: '8634'
abstract:
- lang: eng
  text: In laboratory studies and numerical simulations, we observe clear signatures
    of unstable time-periodic solutions in a moderately turbulent quasi-two-dimensional
    flow. We validate the dynamical relevance of such solutions by demonstrating that
    turbulent flows in both experiment and numerics transiently display time-periodic
    dynamics when they shadow unstable periodic orbits (UPOs). We show that UPOs we
    computed are also statistically significant, with turbulent flows spending a sizable
    fraction of the total time near these solutions. As a result, the average rates
    of energy input and dissipation for the turbulent flow and frequently visited
    UPOs differ only by a few percent.
acknowledgement: M. F. S. and R. O. G. acknowledge funding from the National Science
  Foundation (CMMI-1234436, DMS1125302, CMMI-1725587) and Defense Advanced Research
  Projects Agency (HR0011-16-2-0033). B. S.has received funding from the People Programme
  (Marie Curie Actions) of the European Union's Seventh Framework Programme FP7/2007–2013/
  under REA Grant Agreement No. 291734.
article_number: '064501'
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Balachandra
  full_name: Suri, Balachandra
  id: 47A5E706-F248-11E8-B48F-1D18A9856A87
  last_name: Suri
- first_name: Logan
  full_name: Kageorge, Logan
  last_name: Kageorge
- first_name: Roman O.
  full_name: Grigoriev, Roman O.
  last_name: Grigoriev
- first_name: Michael F.
  full_name: Schatz, Michael F.
  last_name: Schatz
citation:
  ama: Suri B, Kageorge L, Grigoriev RO, Schatz MF. Capturing turbulent dynamics and
    statistics in experiments with unstable periodic orbits. <i>Physical Review Letters</i>.
    2020;125(6). doi:<a href="https://doi.org/10.1103/physrevlett.125.064501">10.1103/physrevlett.125.064501</a>
  apa: Suri, B., Kageorge, L., Grigoriev, R. O., &#38; Schatz, M. F. (2020). Capturing
    turbulent dynamics and statistics in experiments with unstable periodic orbits.
    <i>Physical Review Letters</i>. American Physical Society. <a href="https://doi.org/10.1103/physrevlett.125.064501">https://doi.org/10.1103/physrevlett.125.064501</a>
  chicago: Suri, Balachandra, Logan Kageorge, Roman O. Grigoriev, and Michael F. Schatz.
    “Capturing Turbulent Dynamics and Statistics in Experiments with Unstable Periodic
    Orbits.” <i>Physical Review Letters</i>. American Physical Society, 2020. <a href="https://doi.org/10.1103/physrevlett.125.064501">https://doi.org/10.1103/physrevlett.125.064501</a>.
  ieee: B. Suri, L. Kageorge, R. O. Grigoriev, and M. F. Schatz, “Capturing turbulent
    dynamics and statistics in experiments with unstable periodic orbits,” <i>Physical
    Review Letters</i>, vol. 125, no. 6. American Physical Society, 2020.
  ista: Suri B, Kageorge L, Grigoriev RO, Schatz MF. 2020. Capturing turbulent dynamics
    and statistics in experiments with unstable periodic orbits. Physical Review Letters.
    125(6), 064501.
  mla: Suri, Balachandra, et al. “Capturing Turbulent Dynamics and Statistics in Experiments
    with Unstable Periodic Orbits.” <i>Physical Review Letters</i>, vol. 125, no.
    6, 064501, American Physical Society, 2020, doi:<a href="https://doi.org/10.1103/physrevlett.125.064501">10.1103/physrevlett.125.064501</a>.
  short: B. Suri, L. Kageorge, R.O. Grigoriev, M.F. Schatz, Physical Review Letters
    125 (2020).
date_created: 2020-10-08T17:27:32Z
date_published: 2020-08-05T00:00:00Z
date_updated: 2025-04-15T06:50:02Z
day: '05'
department:
- _id: BjHo
doi: 10.1103/physrevlett.125.064501
ec_funded: 1
external_id:
  arxiv:
  - '2008.02367'
  isi:
  - '000555785600005'
intvolume: '       125'
isi: 1
issue: '6'
keyword:
- General Physics and Astronomy
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://arxiv.org/abs/2008.02367
month: '08'
oa: 1
oa_version: Preprint
project:
- _id: 25681D80-B435-11E9-9278-68D0E5697425
  call_identifier: FP7
  grant_number: '291734'
  name: International IST Postdoc Fellowship Programme
publication: Physical Review Letters
publication_identifier:
  eissn:
  - 1079-7114
  issn:
  - 0031-9007
publication_status: published
publisher: American Physical Society
quality_controlled: '1'
scopus_import: '1'
status: public
title: Capturing turbulent dynamics and statistics in experiments with unstable periodic
  orbits
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 125
year: '2020'
...
---
_id: '8645'
abstract:
- lang: eng
  text: 'Epistasis, the context-dependence of the contribution of an amino acid substitution
    to fitness, is common in evolution. To detect epistasis, fitness must be measured
    for at least four genotypes: the reference genotype, two different single mutants
    and a double mutant with both of the single mutations. For higher-order epistasis
    of the order n, fitness has to be measured for all 2n genotypes of an n-dimensional
    hypercube in genotype space forming a ‘combinatorially complete dataset’. So far,
    only a handful of such datasets have been produced by manual curation. Concurrently,
    random mutagenesis experiments have produced measurements of fitness and other
    phenotypes in a high-throughput manner, potentially containing a number of combinatorially
    complete datasets. We present an effective recursive algorithm for finding all
    hypercube structures in random mutagenesis experimental data. To test the algorithm,
    we applied it to the data from a recent HIS3 protein dataset and found all 199
    847 053 unique combinatorially complete genotype combinations of dimensionality
    ranging from 2 to 12. The algorithm may be useful for researchers looking for
    higher-order epistasis in their high-throughput experimental data.'
acknowledgement: 'This work was supported by the European Research Council under the
  European Union’s Seventh Framework Programme (FP7/2007-2013, ERC grant agreement
  335980_EinME) and Startup package to the Ivankov laboratory at Skolkovo Institute
  of Science and Technology. The work was started at the School of Molecular and Theoretical
  Biology 2017 supported by the Zimin Foundation. N.S.B. was supported by the Woman
  Scientists Support Grant in Centre for Genomic Regulation (CRG). '
article_processing_charge: No
article_type: original
author:
- first_name: Laura A
  full_name: Esteban, Laura A
  last_name: Esteban
- first_name: Lyubov R
  full_name: Lonishin, Lyubov R
  last_name: Lonishin
- first_name: Daniil M
  full_name: Bobrovskiy, Daniil M
  last_name: Bobrovskiy
- first_name: Gregory
  full_name: Leleytner, Gregory
  last_name: Leleytner
- first_name: Natalya S
  full_name: Bogatyreva, Natalya S
  last_name: Bogatyreva
- first_name: Fyodor
  full_name: Kondrashov, Fyodor
  id: 44FDEF62-F248-11E8-B48F-1D18A9856A87
  last_name: Kondrashov
  orcid: 0000-0001-8243-4694
- first_name: 'Dmitry N '
  full_name: 'Ivankov, Dmitry N '
  last_name: Ivankov
citation:
  ama: 'Esteban LA, Lonishin LR, Bobrovskiy DM, et al. HypercubeME: Two hundred million
    combinatorially complete datasets from a single experiment. <i>Bioinformatics</i>.
    2020;36(6):1960-1962. doi:<a href="https://doi.org/10.1093/bioinformatics/btz841">10.1093/bioinformatics/btz841</a>'
  apa: 'Esteban, L. A., Lonishin, L. R., Bobrovskiy, D. M., Leleytner, G., Bogatyreva,
    N. S., Kondrashov, F., &#38; Ivankov, D. N. (2020). HypercubeME: Two hundred million
    combinatorially complete datasets from a single experiment. <i>Bioinformatics</i>.
    Oxford University Press. <a href="https://doi.org/10.1093/bioinformatics/btz841">https://doi.org/10.1093/bioinformatics/btz841</a>'
  chicago: 'Esteban, Laura A, Lyubov R Lonishin, Daniil M Bobrovskiy, Gregory Leleytner,
    Natalya S Bogatyreva, Fyodor Kondrashov, and Dmitry N  Ivankov. “HypercubeME:
    Two Hundred Million Combinatorially Complete Datasets from a Single Experiment.”
    <i>Bioinformatics</i>. Oxford University Press, 2020. <a href="https://doi.org/10.1093/bioinformatics/btz841">https://doi.org/10.1093/bioinformatics/btz841</a>.'
  ieee: 'L. A. Esteban <i>et al.</i>, “HypercubeME: Two hundred million combinatorially
    complete datasets from a single experiment,” <i>Bioinformatics</i>, vol. 36, no.
    6. Oxford University Press, pp. 1960–1962, 2020.'
  ista: 'Esteban LA, Lonishin LR, Bobrovskiy DM, Leleytner G, Bogatyreva NS, Kondrashov
    F, Ivankov DN. 2020. HypercubeME: Two hundred million combinatorially complete
    datasets from a single experiment. Bioinformatics. 36(6), 1960–1962.'
  mla: 'Esteban, Laura A., et al. “HypercubeME: Two Hundred Million Combinatorially
    Complete Datasets from a Single Experiment.” <i>Bioinformatics</i>, vol. 36, no.
    6, Oxford University Press, 2020, pp. 1960–62, doi:<a href="https://doi.org/10.1093/bioinformatics/btz841">10.1093/bioinformatics/btz841</a>.'
  short: L.A. Esteban, L.R. Lonishin, D.M. Bobrovskiy, G. Leleytner, N.S. Bogatyreva,
    F. Kondrashov, D.N. Ivankov, Bioinformatics 36 (2020) 1960–1962.
date_created: 2020-10-11T22:01:14Z
date_published: 2020-03-15T00:00:00Z
date_updated: 2025-05-14T11:04:01Z
day: '15'
ddc:
- '000'
- '570'
department:
- _id: FyKo
doi: 10.1093/bioinformatics/btz841
ec_funded: 1
external_id:
  isi:
  - '000538696800054'
  pmid:
  - '31742320'
file:
- access_level: open_access
  checksum: 21d6f71839deb3b83e4a356193f72767
  content_type: application/pdf
  creator: dernst
  date_created: 2020-10-12T12:02:09Z
  date_updated: 2020-10-12T12:02:09Z
  file_id: '8649'
  file_name: 2020_Bioinformatics_Esteban.pdf
  file_size: 308341
  relation: main_file
  success: 1
file_date_updated: 2020-10-12T12:02:09Z
has_accepted_license: '1'
intvolume: '        36'
isi: 1
issue: '6'
language:
- iso: eng
license: https://creativecommons.org/licenses/by-nc/4.0/
month: '03'
oa: 1
oa_version: Published Version
page: 1960-1962
pmid: 1
project:
- _id: 26120F5C-B435-11E9-9278-68D0E5697425
  call_identifier: FP7
  grant_number: '335980'
  name: Systematic investigation of epistasis in molecular evolution
publication: Bioinformatics
publication_identifier:
  eissn:
  - 1460-2059
  issn:
  - 1367-4803
publication_status: published
publisher: Oxford University Press
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'HypercubeME: Two hundred million combinatorially complete datasets from a
  single experiment'
tmp:
  image: /images/cc_by_nc.png
  legal_code_url: https://creativecommons.org/licenses/by-nc/4.0/legalcode
  name: Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
  short: CC BY-NC (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 36
year: '2020'
...
---
_id: '8652'
abstract:
- lang: eng
  text: Nature creates electrons with two values of the spin projection quantum number.
    In certain applications, it is important to filter electrons with one spin projection
    from the rest. Such filtering is not trivial, since spin-dependent interactions
    are often weak, and cannot lead to any substantial effect. Here we propose an
    efficient spin filter based upon scattering from a two-dimensional crystal, which
    is made of aligned point magnets. The polarization of the outgoing electron flux
    is controlled by the crystal, and reaches maximum at specific values of the parameters.
    In our scheme, polarization increase is accompanied by higher reflectivity of
    the crystal. High transmission is feasible in scattering from a quantum cavity
    made of two crystals. Our findings can be used for studies of low-energy spin-dependent
    scattering from two-dimensional ordered structures made of magnetic atoms or aligned
    chiral molecules.
acknowledgement: "This work has received funding from the European Union’s Horizon
  2020 research and innovation program under the Marie Skłodowska-Curie Grant Agreement
  No. 754411 (A.G.V. and A.G.). M.L. acknowledges support by the Austrian Science
  Fund (FWF), under project No. P29902-N27, and by the European Research Council (ERC)
  Starting\r\nGrant No. 801770 (ANGULON)."
article_number: '178'
article_processing_charge: Yes
article_type: original
author:
- first_name: Areg
  full_name: Ghazaryan, Areg
  id: 4AF46FD6-F248-11E8-B48F-1D18A9856A87
  last_name: Ghazaryan
  orcid: 0000-0001-9666-3543
- first_name: Mikhail
  full_name: Lemeshko, Mikhail
  id: 37CB05FA-F248-11E8-B48F-1D18A9856A87
  last_name: Lemeshko
  orcid: 0000-0002-6990-7802
- first_name: Artem
  full_name: Volosniev, Artem
  id: 37D278BC-F248-11E8-B48F-1D18A9856A87
  last_name: Volosniev
  orcid: 0000-0003-0393-5525
citation:
  ama: Ghazaryan A, Lemeshko M, Volosniev A. Filtering spins by scattering from a
    lattice of point magnets. <i>Communications Physics</i>. 2020;3. doi:<a href="https://doi.org/10.1038/s42005-020-00445-8">10.1038/s42005-020-00445-8</a>
  apa: Ghazaryan, A., Lemeshko, M., &#38; Volosniev, A. (2020). Filtering spins by
    scattering from a lattice of point magnets. <i>Communications Physics</i>. Springer
    Nature. <a href="https://doi.org/10.1038/s42005-020-00445-8">https://doi.org/10.1038/s42005-020-00445-8</a>
  chicago: Ghazaryan, Areg, Mikhail Lemeshko, and Artem Volosniev. “Filtering Spins
    by Scattering from a Lattice of Point Magnets.” <i>Communications Physics</i>.
    Springer Nature, 2020. <a href="https://doi.org/10.1038/s42005-020-00445-8">https://doi.org/10.1038/s42005-020-00445-8</a>.
  ieee: A. Ghazaryan, M. Lemeshko, and A. Volosniev, “Filtering spins by scattering
    from a lattice of point magnets,” <i>Communications Physics</i>, vol. 3. Springer
    Nature, 2020.
  ista: Ghazaryan A, Lemeshko M, Volosniev A. 2020. Filtering spins by scattering
    from a lattice of point magnets. Communications Physics. 3, 178.
  mla: Ghazaryan, Areg, et al. “Filtering Spins by Scattering from a Lattice of Point
    Magnets.” <i>Communications Physics</i>, vol. 3, 178, Springer Nature, 2020, doi:<a
    href="https://doi.org/10.1038/s42005-020-00445-8">10.1038/s42005-020-00445-8</a>.
  short: A. Ghazaryan, M. Lemeshko, A. Volosniev, Communications Physics 3 (2020).
corr_author: '1'
date_created: 2020-10-13T09:48:59Z
date_published: 2020-10-09T00:00:00Z
date_updated: 2025-04-14T07:43:50Z
day: '09'
ddc:
- '530'
department:
- _id: MiLe
doi: 10.1038/s42005-020-00445-8
ec_funded: 1
external_id:
  isi:
  - '000581681000001'
file:
- access_level: open_access
  checksum: 60cd35b99f0780acffc7b6060e49ec8b
  content_type: application/pdf
  creator: dernst
  date_created: 2020-10-14T15:16:28Z
  date_updated: 2020-10-14T15:16:28Z
  file_id: '8662'
  file_name: 2020_CommPhysics_Ghazaryan.pdf
  file_size: 1462934
  relation: main_file
  success: 1
file_date_updated: 2020-10-14T15:16:28Z
has_accepted_license: '1'
intvolume: '         3'
isi: 1
language:
- iso: eng
month: '10'
oa: 1
oa_version: Published Version
project:
- _id: 260C2330-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '754411'
  name: ISTplus - Postdoctoral Fellowships
- _id: 26031614-B435-11E9-9278-68D0E5697425
  call_identifier: FWF
  grant_number: P29902
  name: Quantum rotations in the presence of a many-body environment
- _id: 2688CF98-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '801770'
  name: 'Angulon: physics and applications of a new quasiparticle'
publication: Communications Physics
publication_identifier:
  issn:
  - 2399-3650
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: Filtering spins by scattering from a lattice of point magnets
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: 3
year: '2020'
...
---
_id: '8670'
abstract:
- lang: eng
  text: The α–z Rényi relative entropies are a two-parameter family of Rényi relative
    entropies that are quantum generalizations of the classical α-Rényi relative entropies.
    In the work [Adv. Math. 365, 107053 (2020)], we decided the full range of (α,
    z) for which the data processing inequality (DPI) is valid. In this paper, we
    give algebraic conditions for the equality in DPI. For the full range of parameters
    (α, z), we give necessary conditions and sufficient conditions. For most parameters,
    we give equivalent conditions. This generalizes and strengthens the results of
    Leditzky et al. [Lett. Math. Phys. 107, 61–80 (2017)].
acknowledgement: This research was supported by the European Union’s Horizon 2020
  research and innovation program under the Marie Skłodowska-Curie Grant Agreement
  No. 754411. The author would like to thank Anna Vershynina and Sarah Chehade for
  their helpful comments.
article_number: '102201'
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Haonan
  full_name: Zhang, Haonan
  id: D8F41E38-9E66-11E9-A9E2-65C2E5697425
  last_name: Zhang
citation:
  ama: Zhang H. Equality conditions of data processing inequality for α-z Rényi relative
    entropies. <i>Journal of Mathematical Physics</i>. 2020;61(10). doi:<a href="https://doi.org/10.1063/5.0022787">10.1063/5.0022787</a>
  apa: Zhang, H. (2020). Equality conditions of data processing inequality for α-z
    Rényi relative entropies. <i>Journal of Mathematical Physics</i>. AIP Publishing.
    <a href="https://doi.org/10.1063/5.0022787">https://doi.org/10.1063/5.0022787</a>
  chicago: Zhang, Haonan. “Equality Conditions of Data Processing Inequality for α-z
    Rényi Relative Entropies.” <i>Journal of Mathematical Physics</i>. AIP Publishing,
    2020. <a href="https://doi.org/10.1063/5.0022787">https://doi.org/10.1063/5.0022787</a>.
  ieee: H. Zhang, “Equality conditions of data processing inequality for α-z Rényi
    relative entropies,” <i>Journal of Mathematical Physics</i>, vol. 61, no. 10.
    AIP Publishing, 2020.
  ista: Zhang H. 2020. Equality conditions of data processing inequality for α-z Rényi
    relative entropies. Journal of Mathematical Physics. 61(10), 102201.
  mla: Zhang, Haonan. “Equality Conditions of Data Processing Inequality for α-z Rényi
    Relative Entropies.” <i>Journal of Mathematical Physics</i>, vol. 61, no. 10,
    102201, AIP Publishing, 2020, doi:<a href="https://doi.org/10.1063/5.0022787">10.1063/5.0022787</a>.
  short: H. Zhang, Journal of Mathematical Physics 61 (2020).
corr_author: '1'
date_created: 2020-10-18T22:01:36Z
date_published: 2020-10-01T00:00:00Z
date_updated: 2025-07-10T11:57:14Z
day: '01'
department:
- _id: JaMa
doi: 10.1063/5.0022787
ec_funded: 1
external_id:
  arxiv:
  - '2007.06644'
  isi:
  - '000578529200001'
intvolume: '        61'
isi: 1
issue: '10'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://arxiv.org/abs/2007.06644
month: '10'
oa: 1
oa_version: Preprint
project:
- _id: 260C2330-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '754411'
  name: ISTplus - Postdoctoral Fellowships
publication: Journal of Mathematical Physics
publication_identifier:
  issn:
  - 0022-2488
publication_status: published
publisher: AIP Publishing
quality_controlled: '1'
scopus_import: '1'
status: public
title: Equality conditions of data processing inequality for α-z Rényi relative entropies
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 61
year: '2020'
...
---
_id: '8671'
abstract:
- lang: eng
  text: 'We study relations between evidence theory and S-approximation spaces. Both
    theories have their roots in the analysis of Dempsterchr(''39'')s multivalued
    mappings and lower and upper probabilities, and have close relations to rough
    sets. We show that an S-approximation space, satisfying a monotonicity condition,
    can induce a natural belief structure which is a fundamental block in evidence
    theory. We also demonstrate that one can induce a natural belief structure on
    one set, given a belief structure on another set, if the two sets are related
    by a partial monotone S-approximation space. '
acknowledgement: We are very grateful to the anonymous reviewer for detailed comments
  and suggestions that significantly improved the presentation of this paper. The
  research was partially supported by a DOC fellowship of the Austrian Academy of
  Sciences.
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: A.
  full_name: Shakiba, A.
  last_name: Shakiba
- 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: M.R.
  full_name: Hooshmandasl, M.R.
  last_name: Hooshmandasl
- first_name: M.
  full_name: Alambardar Meybodi, M.
  last_name: Alambardar Meybodi
citation:
  ama: Shakiba A, Goharshady AK, Hooshmandasl MR, Alambardar Meybodi M. A note on
    belief structures and s-approximation spaces. <i>Iranian Journal of Mathematical
    Sciences and Informatics</i>. 2020;15(2):117-128. doi:<a href="https://doi.org/10.29252/ijmsi.15.2.117">10.29252/ijmsi.15.2.117</a>
  apa: Shakiba, A., Goharshady, A. K., Hooshmandasl, M. R., &#38; Alambardar Meybodi,
    M. (2020). A note on belief structures and s-approximation spaces. <i>Iranian
    Journal of Mathematical Sciences and Informatics</i>. Iranian Academic Center
    for Education, Culture and Research. <a href="https://doi.org/10.29252/ijmsi.15.2.117">https://doi.org/10.29252/ijmsi.15.2.117</a>
  chicago: Shakiba, A., Amir Kafshdar Goharshady, M.R. Hooshmandasl, and M. Alambardar
    Meybodi. “A Note on Belief Structures and S-Approximation Spaces.” <i>Iranian
    Journal of Mathematical Sciences and Informatics</i>. Iranian Academic Center
    for Education, Culture and Research, 2020. <a href="https://doi.org/10.29252/ijmsi.15.2.117">https://doi.org/10.29252/ijmsi.15.2.117</a>.
  ieee: A. Shakiba, A. K. Goharshady, M. R. Hooshmandasl, and M. Alambardar Meybodi,
    “A note on belief structures and s-approximation spaces,” <i>Iranian Journal of
    Mathematical Sciences and Informatics</i>, vol. 15, no. 2. Iranian Academic Center
    for Education, Culture and Research, pp. 117–128, 2020.
  ista: Shakiba A, Goharshady AK, Hooshmandasl MR, Alambardar Meybodi M. 2020. A note
    on belief structures and s-approximation spaces. Iranian Journal of Mathematical
    Sciences and Informatics. 15(2), 117–128.
  mla: Shakiba, A., et al. “A Note on Belief Structures and S-Approximation Spaces.”
    <i>Iranian Journal of Mathematical Sciences and Informatics</i>, vol. 15, no.
    2, Iranian Academic Center for Education, Culture and Research, 2020, pp. 117–28,
    doi:<a href="https://doi.org/10.29252/ijmsi.15.2.117">10.29252/ijmsi.15.2.117</a>.
  short: A. Shakiba, A.K. Goharshady, M.R. Hooshmandasl, M. Alambardar Meybodi, Iranian
    Journal of Mathematical Sciences and Informatics 15 (2020) 117–128.
date_created: 2020-10-18T22:01:36Z
date_published: 2020-10-01T00:00:00Z
date_updated: 2025-04-15T07:55:04Z
day: '01'
ddc:
- '000'
department:
- _id: KrCh
doi: 10.29252/ijmsi.15.2.117
external_id:
  arxiv:
  - '1805.10672'
file:
- access_level: open_access
  checksum: f299661a6d51cda6d255a76be696f48d
  content_type: application/pdf
  creator: dernst
  date_created: 2020-10-19T11:14:20Z
  date_updated: 2020-10-19T11:14:20Z
  file_id: '8676'
  file_name: 2020_ijmsi_Shakiba_accepted.pdf
  file_size: 261688
  relation: main_file
  success: 1
file_date_updated: 2020-10-19T11:14:20Z
has_accepted_license: '1'
intvolume: '        15'
issue: '2'
language:
- iso: eng
month: '10'
oa: 1
oa_version: Submitted Version
page: 117-128
project:
- _id: 267066CE-B435-11E9-9278-68D0E5697425
  name: Quantitative Analysis of Probabilistic Systems with a focus on Crypto-Currencies
publication: Iranian Journal of Mathematical Sciences and Informatics
publication_identifier:
  eissn:
  - 2008-9473
  issn:
  - 1735-4463
publication_status: published
publisher: Iranian Academic Center for Education, Culture and Research
quality_controlled: '1'
scopus_import: '1'
status: public
title: A note on belief structures and s-approximation spaces
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 15
year: '2020'
...
---
_id: '8672'
abstract:
- lang: eng
  text: Cell fate transitions are key to development and homeostasis. It is thus essential
    to understand the cellular mechanisms controlling fate transitions. Cell division
    has been implicated in fate decisions in many stem cell types, including neuronal
    and epithelial progenitors. In other stem cells, such as embryonic stem (ES) cells,
    the role of division remains unclear. Here, we show that exit from naive pluripotency
    in mouse ES cells generally occurs after a division. We further show that exit
    timing is strongly correlated between sister cells, which remain connected by
    cytoplasmic bridges long after division, and that bridge abscission progressively
    accelerates as cells exit naive pluripotency. Finally, interfering with abscission
    impairs naive pluripotency exit, and artificially inducing abscission accelerates
    it. Altogether, our data indicate that a switch in the division machinery leading
    to faster abscission regulates pluripotency exit. Our study identifies abscission
    as a key cellular process coupling cell division to fate transitions.
acknowledgement: This work was supported by the Medical Research Council UK (MRC Program
  award MC_UU_12018/5 ), the European Research Council (starting grant 311637 -MorphoCorDiv
  and consolidator grant 820188 -NanoMechShape to E.K.P.), and the Leverhulme Trust
  (Leverhulme Prize in Biological Sciences to E.K.P.). K.J.C. acknowledges support
  from the Royal Society (Royal Society Research Fellowship). A.C. acknowledges support
  from EMBO ( ALTF 2015-563 ), the Wellcome Trust ( 201334/Z/16/Z ), and the Fondation
  Bettencourt-Schueller (Prix Jeune Chercheur, 2015).
article_processing_charge: No
article_type: original
author:
- first_name: Agathe
  full_name: Chaigne, Agathe
  last_name: Chaigne
- first_name: Céline
  full_name: Labouesse, Céline
  last_name: Labouesse
- first_name: Ian J.
  full_name: White, Ian J.
  last_name: White
- first_name: Meghan
  full_name: Agnew, Meghan
  last_name: Agnew
- first_name: Edouard B
  full_name: Hannezo, Edouard B
  id: 3A9DB764-F248-11E8-B48F-1D18A9856A87
  last_name: Hannezo
  orcid: 0000-0001-6005-1561
- first_name: Kevin J.
  full_name: Chalut, Kevin J.
  last_name: Chalut
- first_name: Ewa K.
  full_name: Paluch, Ewa K.
  last_name: Paluch
citation:
  ama: Chaigne A, Labouesse C, White IJ, et al. Abscission couples cell division to
    embryonic stem cell fate. <i>Developmental Cell</i>. 2020;55(2):195-208. doi:<a
    href="https://doi.org/10.1016/j.devcel.2020.09.001">10.1016/j.devcel.2020.09.001</a>
  apa: Chaigne, A., Labouesse, C., White, I. J., Agnew, M., Hannezo, E. B., Chalut,
    K. J., &#38; Paluch, E. K. (2020). Abscission couples cell division to embryonic
    stem cell fate. <i>Developmental Cell</i>. Elsevier. <a href="https://doi.org/10.1016/j.devcel.2020.09.001">https://doi.org/10.1016/j.devcel.2020.09.001</a>
  chicago: Chaigne, Agathe, Céline Labouesse, Ian J. White, Meghan Agnew, Edouard
    B Hannezo, Kevin J. Chalut, and Ewa K. Paluch. “Abscission Couples Cell Division
    to Embryonic Stem Cell Fate.” <i>Developmental Cell</i>. Elsevier, 2020. <a href="https://doi.org/10.1016/j.devcel.2020.09.001">https://doi.org/10.1016/j.devcel.2020.09.001</a>.
  ieee: A. Chaigne <i>et al.</i>, “Abscission couples cell division to embryonic stem
    cell fate,” <i>Developmental Cell</i>, vol. 55, no. 2. Elsevier, pp. 195–208,
    2020.
  ista: Chaigne A, Labouesse C, White IJ, Agnew M, Hannezo EB, Chalut KJ, Paluch EK.
    2020. Abscission couples cell division to embryonic stem cell fate. Developmental
    Cell. 55(2), 195–208.
  mla: Chaigne, Agathe, et al. “Abscission Couples Cell Division to Embryonic Stem
    Cell Fate.” <i>Developmental Cell</i>, vol. 55, no. 2, Elsevier, 2020, pp. 195–208,
    doi:<a href="https://doi.org/10.1016/j.devcel.2020.09.001">10.1016/j.devcel.2020.09.001</a>.
  short: A. Chaigne, C. Labouesse, I.J. White, M. Agnew, E.B. Hannezo, K.J. Chalut,
    E.K. Paluch, Developmental Cell 55 (2020) 195–208.
date_created: 2020-10-18T22:01:37Z
date_published: 2020-10-26T00:00:00Z
date_updated: 2025-07-10T11:57:15Z
day: '26'
ddc:
- '570'
department:
- _id: EdHa
doi: 10.1016/j.devcel.2020.09.001
external_id:
  isi:
  - '000582501100012'
  pmid:
  - '32979313'
file:
- access_level: open_access
  checksum: 88e1a031a61689165d19a19c2f16d795
  content_type: application/pdf
  creator: dernst
  date_created: 2021-02-04T10:20:02Z
  date_updated: 2021-02-04T10:20:02Z
  file_id: '9086'
  file_name: 2020_DevelopmCell_Chaigne.pdf
  file_size: 6929686
  relation: main_file
  success: 1
file_date_updated: 2021-02-04T10:20:02Z
has_accepted_license: '1'
intvolume: '        55'
isi: 1
issue: '2'
language:
- iso: eng
month: '10'
oa: 1
oa_version: Published Version
page: 195-208
pmid: 1
publication: Developmental Cell
publication_identifier:
  eissn:
  - 1878-1551
  issn:
  - 1534-5807
publication_status: published
publisher: Elsevier
quality_controlled: '1'
scopus_import: '1'
status: public
title: Abscission couples cell division to embryonic stem cell fate
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: 55
year: '2020'
...
---
_id: '8679'
abstract:
- lang: eng
  text: A central goal of artificial intelligence in high-stakes decision-making applications
    is to design a single algorithm that simultaneously expresses generalizability
    by learning coherent representations of their world and interpretable explanations
    of its dynamics. Here, we combine brain-inspired neural computation principles
    and scalable deep learning architectures to design compact neural controllers
    for task-specific compartments of a full-stack autonomous vehicle control system.
    We discover that a single algorithm with 19 control neurons, connecting 32 encapsulated
    input features to outputs by 253 synapses, learns to map high-dimensional inputs
    into steering commands. This system shows superior generalizability, interpretability
    and robustness compared with orders-of-magnitude larger black-box learning systems.
    The obtained neural agents enable high-fidelity autonomy for task-specific parts
    of a complex autonomous system.
article_processing_charge: No
article_type: original
author:
- first_name: Mathias
  full_name: Lechner, Mathias
  id: 3DC22916-F248-11E8-B48F-1D18A9856A87
  last_name: Lechner
- first_name: Ramin
  full_name: Hasani, Ramin
  last_name: Hasani
- first_name: Alexander
  full_name: Amini, Alexander
  last_name: Amini
- first_name: Thomas A
  full_name: Henzinger, Thomas A
  id: 40876CD8-F248-11E8-B48F-1D18A9856A87
  last_name: Henzinger
  orcid: 0000-0002-2985-7724
- first_name: Daniela
  full_name: Rus, Daniela
  last_name: Rus
- first_name: Radu
  full_name: Grosu, Radu
  last_name: Grosu
citation:
  ama: Lechner M, Hasani R, Amini A, Henzinger TA, Rus D, Grosu R. Neural circuit
    policies enabling auditable autonomy. <i>Nature Machine Intelligence</i>. 2020;2:642-652.
    doi:<a href="https://doi.org/10.1038/s42256-020-00237-3">10.1038/s42256-020-00237-3</a>
  apa: Lechner, M., Hasani, R., Amini, A., Henzinger, T. A., Rus, D., &#38; Grosu,
    R. (2020). Neural circuit policies enabling auditable autonomy. <i>Nature Machine
    Intelligence</i>. Springer Nature. <a href="https://doi.org/10.1038/s42256-020-00237-3">https://doi.org/10.1038/s42256-020-00237-3</a>
  chicago: Lechner, Mathias, Ramin Hasani, Alexander Amini, Thomas A Henzinger, Daniela
    Rus, and Radu Grosu. “Neural Circuit Policies Enabling Auditable Autonomy.” <i>Nature
    Machine Intelligence</i>. Springer Nature, 2020. <a href="https://doi.org/10.1038/s42256-020-00237-3">https://doi.org/10.1038/s42256-020-00237-3</a>.
  ieee: M. Lechner, R. Hasani, A. Amini, T. A. Henzinger, D. Rus, and R. Grosu, “Neural
    circuit policies enabling auditable autonomy,” <i>Nature Machine Intelligence</i>,
    vol. 2. Springer Nature, pp. 642–652, 2020.
  ista: Lechner M, Hasani R, Amini A, Henzinger TA, Rus D, Grosu R. 2020. Neural circuit
    policies enabling auditable autonomy. Nature Machine Intelligence. 2, 642–652.
  mla: Lechner, Mathias, et al. “Neural Circuit Policies Enabling Auditable Autonomy.”
    <i>Nature Machine Intelligence</i>, vol. 2, Springer Nature, 2020, pp. 642–52,
    doi:<a href="https://doi.org/10.1038/s42256-020-00237-3">10.1038/s42256-020-00237-3</a>.
  short: M. Lechner, R. Hasani, A. Amini, T.A. Henzinger, D. Rus, R. Grosu, Nature
    Machine Intelligence 2 (2020) 642–652.
date_created: 2020-10-19T13:46:06Z
date_published: 2020-10-01T00:00:00Z
date_updated: 2025-04-15T06:25:57Z
day: '01'
department:
- _id: ToHe
doi: 10.1038/s42256-020-00237-3
external_id:
  isi:
  - '000583337200011'
intvolume: '         2'
isi: 1
language:
- iso: eng
month: '10'
oa_version: None
page: 642-652
project:
- _id: 25F42A32-B435-11E9-9278-68D0E5697425
  call_identifier: FWF
  grant_number: Z211
  name: Formal methods for the design and analysis of complex systems
publication: Nature Machine Intelligence
publication_identifier:
  eissn:
  - 2522-5839
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
related_material:
  link:
  - description: News on IST Homepage
    relation: press_release
    url: https://ist.ac.at/en/news/new-deep-learning-models/
scopus_import: '1'
status: public
title: Neural circuit policies enabling auditable autonomy
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 2
year: '2020'
...
---
_id: '8680'
abstract:
- lang: eng
  text: Animal development entails the organization of specific cell types in space
    and time, and spatial patterns must form in a robust manner. In the zebrafish
    spinal cord, neural progenitors form stereotypic patterns despite noisy morphogen
    signaling and large-scale cellular rearrangements during morphogenesis and growth.
    By directly measuring adhesion forces and preferences for three types of endogenous
    neural progenitors, we provide evidence for the differential adhesion model in
    which differences in intercellular adhesion mediate cell sorting. Cell type–specific
    combinatorial expression of different classes of cadherins (N-cadherin, cadherin
    11, and protocadherin 19) results in homotypic preference ex vivo and patterning
    robustness in vivo. Furthermore, the differential adhesion code is regulated by
    the sonic hedgehog morphogen gradient. We propose that robust patterning during
    tissue morphogenesis results from interplay between adhesion-based self-organization
    and morphogen-directed patterning.
acknowledgement: "We thank the members of the Megason and Heisenberg labs for critical
  discussions of and technical assistance during the work and B. Appel, S. Holley,
  J. Jontes, and D. Gilmour for transgenic fish. This work is supported by the Damon
  Runyon Cancer Foundation, a NICHD K99 fellowship (1K99HD092623), a Travelling Fellowship
  of the Company of Biologists, a Collaborative Research grant from the Burroughs
  Wellcome Foundation (T.Y.-C.T.), NIH grant  01GM107733 (T.Y.-C.T. and S.G.M.), NIH
  grant R01NS102322 (T.C.-C. and H.K.), and an ERC advanced grant\r\n(MECSPEC) (C.-P.H.)."
article_processing_charge: No
article_type: original
author:
- first_name: Tony Y.-C.
  full_name: Tsai, Tony Y.-C.
  last_name: Tsai
- first_name: Mateusz K
  full_name: Sikora, Mateusz K
  id: 2F74BCDE-F248-11E8-B48F-1D18A9856A87
  last_name: Sikora
- first_name: Peng
  full_name: Xia, Peng
  id: 4AB6C7D0-F248-11E8-B48F-1D18A9856A87
  last_name: Xia
  orcid: 0000-0002-5419-7756
- first_name: Tugba
  full_name: Colak-Champollion, Tugba
  last_name: Colak-Champollion
- first_name: Holger
  full_name: Knaut, Holger
  last_name: Knaut
- first_name: Carl-Philipp J
  full_name: Heisenberg, Carl-Philipp J
  id: 39427864-F248-11E8-B48F-1D18A9856A87
  last_name: Heisenberg
  orcid: 0000-0002-0912-4566
- first_name: Sean G.
  full_name: Megason, Sean G.
  last_name: Megason
citation:
  ama: Tsai TY-C, Sikora MK, Xia P, et al. An adhesion code ensures robust pattern
    formation during tissue morphogenesis. <i>Science</i>. 2020;370(6512):113-116.
    doi:<a href="https://doi.org/10.1126/science.aba6637">10.1126/science.aba6637</a>
  apa: Tsai, T. Y.-C., Sikora, M. K., Xia, P., Colak-Champollion, T., Knaut, H., Heisenberg,
    C.-P. J., &#38; Megason, S. G. (2020). An adhesion code ensures robust pattern
    formation during tissue morphogenesis. <i>Science</i>. American Association for
    the Advancement of Science. <a href="https://doi.org/10.1126/science.aba6637">https://doi.org/10.1126/science.aba6637</a>
  chicago: Tsai, Tony Y.-C., Mateusz K Sikora, Peng Xia, Tugba Colak-Champollion,
    Holger Knaut, Carl-Philipp J Heisenberg, and Sean G. Megason. “An Adhesion Code
    Ensures Robust Pattern Formation during Tissue Morphogenesis.” <i>Science</i>.
    American Association for the Advancement of Science, 2020. <a href="https://doi.org/10.1126/science.aba6637">https://doi.org/10.1126/science.aba6637</a>.
  ieee: T. Y.-C. Tsai <i>et al.</i>, “An adhesion code ensures robust pattern formation
    during tissue morphogenesis,” <i>Science</i>, vol. 370, no. 6512. American Association
    for the Advancement of Science, pp. 113–116, 2020.
  ista: Tsai TY-C, Sikora MK, Xia P, Colak-Champollion T, Knaut H, Heisenberg C-PJ,
    Megason SG. 2020. An adhesion code ensures robust pattern formation during tissue
    morphogenesis. Science. 370(6512), 113–116.
  mla: Tsai, Tony Y. C., et al. “An Adhesion Code Ensures Robust Pattern Formation
    during Tissue Morphogenesis.” <i>Science</i>, vol. 370, no. 6512, American Association
    for the Advancement of Science, 2020, pp. 113–16, doi:<a href="https://doi.org/10.1126/science.aba6637">10.1126/science.aba6637</a>.
  short: T.Y.-C. Tsai, M.K. Sikora, P. Xia, T. Colak-Champollion, H. Knaut, C.-P.J.
    Heisenberg, S.G. Megason, Science 370 (2020) 113–116.
date_created: 2020-10-19T14:09:38Z
date_published: 2020-10-02T00:00:00Z
date_updated: 2025-06-12T07:00:41Z
day: '02'
department:
- _id: CaHe
doi: 10.1126/science.aba6637
ec_funded: 1
external_id:
  isi:
  - '000579169000053'
  pmid:
  - '33004519'
intvolume: '       370'
isi: 1
issue: '6512'
keyword:
- Multidisciplinary
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://www.biorxiv.org/content/10.1101/803635v1
month: '10'
oa: 1
oa_version: Preprint
page: 113-116
pmid: 1
project:
- _id: 260F1432-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '742573'
  name: Interaction and feedback between cell mechanics and fate specification in
    vertebrate gastrulation
publication: Science
publication_identifier:
  eissn:
  - 1095-9203
  issn:
  - 0036-8075
publication_status: published
publisher: American Association for the Advancement of Science
quality_controlled: '1'
related_material:
  link:
  - description: News on IST Homepage
    relation: press_release
    url: https://ist.ac.at/en/news/sticking-together/
scopus_import: '1'
status: public
title: An adhesion code ensures robust pattern formation during tissue morphogenesis
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 370
year: '2020'
...
---
_id: '8698'
abstract:
- lang: eng
  text: The brain represents and reasons probabilistically about complex stimuli and
    motor actions using a noisy, spike-based neural code. A key building block for
    such neural computations, as well as the basis for supervised and unsupervised
    learning, is the ability to estimate the surprise or likelihood of incoming high-dimensional
    neural activity patterns. Despite progress in statistical modeling of neural responses
    and deep learning, current approaches either do not scale to large neural populations
    or cannot be implemented using biologically realistic mechanisms. Inspired by
    the sparse and random connectivity of real neuronal circuits, we present a model
    for neural codes that accurately estimates the likelihood of individual spiking
    patterns and has a straightforward, scalable, efficient, learnable, and realistic
    neural implementation. This model’s performance on simultaneously recorded spiking
    activity of >100 neurons in the monkey visual and prefrontal cortices is comparable
    with or better than that of state-of-the-art models. Importantly, the model can
    be learned using a small number of samples and using a local learning rule that
    utilizes noise intrinsic to neural circuits. Slower, structural changes in random
    connectivity, consistent with rewiring and pruning processes, further improve
    the efficiency and sparseness of the resulting neural representations. Our results
    merge insights from neuroanatomy, machine learning, and theoretical neuroscience
    to suggest random sparse connectivity as a key design principle for neuronal computation.
acknowledgement: We thank Udi Karpas, Roy Harpaz, Tal Tamir, Adam Haber, and Amir
  Bar for discussions and suggestions; and especially Oren Forkosh and Walter Senn
  for invaluable discussions of the learning rule. This work was supported by European
  Research Council Grant 311238 (to E.S.) and Israel Science Foundation Grant 1629/12
  (to E.S.); as well as research support from Martin Kushner Schnur and Mr. and Mrs.
  Lawrence Feis (E.S.); National Institute of Mental Health Grant R01MH109180 (to
  R.K.); a Pew Scholarship in Biomedical Sciences (to R.K.); Simons Collaboration
  on the Global Brain Grant 542997 (to R.K. and E.S.); and a CRCNS (Collaborative
  Research in Computational Neuroscience) grant (to R.K. and E.S.).
article_processing_charge: No
article_type: original
author:
- first_name: Ori
  full_name: Maoz, Ori
  last_name: Maoz
- first_name: Gašper
  full_name: Tkačik, Gašper
  id: 3D494DCA-F248-11E8-B48F-1D18A9856A87
  last_name: Tkačik
  orcid: 0000-0002-6699-1455
- first_name: Mohamad Saleh
  full_name: Esteki, Mohamad Saleh
  last_name: Esteki
- first_name: Roozbeh
  full_name: Kiani, Roozbeh
  last_name: Kiani
- first_name: Elad
  full_name: Schneidman, Elad
  last_name: Schneidman
citation:
  ama: Maoz O, Tkačik G, Esteki MS, Kiani R, Schneidman E. Learning probabilistic
    neural representations with randomly connected circuits. <i>Proceedings of the
    National Academy of Sciences of the United States of America</i>. 2020;117(40):25066-25073.
    doi:<a href="https://doi.org/10.1073/pnas.1912804117">10.1073/pnas.1912804117</a>
  apa: Maoz, O., Tkačik, G., Esteki, M. S., Kiani, R., &#38; Schneidman, E. (2020).
    Learning probabilistic neural representations with randomly connected circuits.
    <i>Proceedings of the National Academy of Sciences of the United States of America</i>.
    National Academy of Sciences. <a href="https://doi.org/10.1073/pnas.1912804117">https://doi.org/10.1073/pnas.1912804117</a>
  chicago: Maoz, Ori, Gašper Tkačik, Mohamad Saleh Esteki, Roozbeh Kiani, and Elad
    Schneidman. “Learning Probabilistic Neural Representations with Randomly Connected
    Circuits.” <i>Proceedings of the National Academy of Sciences of the United States
    of America</i>. National Academy of Sciences, 2020. <a href="https://doi.org/10.1073/pnas.1912804117">https://doi.org/10.1073/pnas.1912804117</a>.
  ieee: O. Maoz, G. Tkačik, M. S. Esteki, R. Kiani, and E. Schneidman, “Learning probabilistic
    neural representations with randomly connected circuits,” <i>Proceedings of the
    National Academy of Sciences of the United States of America</i>, vol. 117, no.
    40. National Academy of Sciences, pp. 25066–25073, 2020.
  ista: Maoz O, Tkačik G, Esteki MS, Kiani R, Schneidman E. 2020. Learning probabilistic
    neural representations with randomly connected circuits. Proceedings of the National
    Academy of Sciences of the United States of America. 117(40), 25066–25073.
  mla: Maoz, Ori, et al. “Learning Probabilistic Neural Representations with Randomly
    Connected Circuits.” <i>Proceedings of the National Academy of Sciences of the
    United States of America</i>, vol. 117, no. 40, National Academy of Sciences,
    2020, pp. 25066–73, doi:<a href="https://doi.org/10.1073/pnas.1912804117">10.1073/pnas.1912804117</a>.
  short: O. Maoz, G. Tkačik, M.S. Esteki, R. Kiani, E. Schneidman, Proceedings of
    the National Academy of Sciences of the United States of America 117 (2020) 25066–25073.
date_created: 2020-10-25T23:01:16Z
date_published: 2020-10-06T00:00:00Z
date_updated: 2025-07-10T11:57:16Z
day: '06'
ddc:
- '570'
department:
- _id: GaTk
doi: 10.1073/pnas.1912804117
external_id:
  isi:
  - '000579045200012'
  pmid:
  - '32948691'
file:
- access_level: open_access
  checksum: c6a24fdecf3f28faf447078e7a274a88
  content_type: application/pdf
  creator: cziletti
  date_created: 2020-10-27T14:57:50Z
  date_updated: 2020-10-27T14:57:50Z
  file_id: '8713'
  file_name: 2020_PNAS_Maoz.pdf
  file_size: 1755359
  relation: main_file
  success: 1
file_date_updated: 2020-10-27T14:57:50Z
has_accepted_license: '1'
intvolume: '       117'
isi: 1
issue: '40'
language:
- iso: eng
month: '10'
oa: 1
oa_version: Published Version
page: 25066-25073
pmid: 1
publication: Proceedings of the National Academy of Sciences of the United States
  of America
publication_identifier:
  eissn:
  - 1091-6490
  issn:
  - 0027-8424
publication_status: published
publisher: National Academy of Sciences
quality_controlled: '1'
scopus_import: '1'
status: public
title: Learning probabilistic neural representations with randomly connected circuits
tmp:
  image: /images/cc_by_nc_nd.png
  legal_code_url: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
  name: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
    (CC BY-NC-ND 4.0)
  short: CC BY-NC-ND (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 117
year: '2020'
...
---
_id: '8699'
abstract:
- lang: eng
  text: In the high spin–orbit-coupled Sr2IrO4, the high sensitivity of the ground
    state to the details of the local lattice structure shows a large potential for
    the manipulation of the functional properties by inducing local lattice distortions.
    We use epitaxial strain to modify the Ir–O bond geometry in Sr2IrO4 and perform
    momentum-dependent resonant inelastic X-ray scattering (RIXS) at the metal and
    at the ligand sites to unveil the response of the low-energy elementary excitations.
    We observe that the pseudospin-wave dispersion for tensile-strained Sr2IrO4 films
    displays large softening along the [h,0] direction, while along the [h,h] direction
    it shows hardening. This evolution reveals a renormalization of the magnetic interactions
    caused by a strain-driven cross-over from anisotropic to isotropic interactions
    between the magnetic moments. Moreover, we detect dispersive electron–hole pair
    excitations which shift to lower (higher) energies upon compressive (tensile)
    strain, manifesting a reduction (increase) in the size of the charge gap. This
    behavior shows an intimate coupling between charge excitations and lattice distortions
    in Sr2IrO4, originating from the modified hopping elements between the t2g orbitals.
    Our work highlights the central role played by the lattice degrees of freedom
    in determining both the pseudospin and charge excitations of Sr2IrO4 and provides
    valuable information toward the control of the ground state of complex oxides
    in the presence of high spin–orbit coupling.
acknowledgement: 'We gratefully acknowledge C. Sahle for experimental support at the
  ID20 beamline of the ESRF. The soft X-ray experiments were carried out at the ADRESS
  beamline of the Swiss Light Source, Paul Scherrer Institut (PSI). E. Paris and T.S.
  thank X. Lu and C. Monney for valuable discussions. The work at PSI is supported
  by the Swiss National Science Foundation (SNSF) through Project 200021_178867, the
  NCCR (National Centre of Competence in Research) MARVEL (Materials’ Revolution:
  Computational Design and Discovery of Novel Materials) and the Sinergia network
  Mott Physics Beyond the Heisenberg Model (MPBH) (SNSF Research Grants CRSII2_160765/1
  and CRSII2_141962). K.W. acknowledges support by the Narodowe Centrum Nauki Projects
  2016/22/E/ST3/00560 and 2016/23/B/ST3/00839. E.M.P. and M.N. acknowledge funding
  from the European Union’s Horizon 2020 research and innovation programme under the
  Marie Sklodowska-Curie Grant Agreements 754411 and 701647, respectively. M.R. was
  supported by the Swiss National Science Foundation under Project 200021 – 182695.
  This research used resources of the APS, a U.S. Department of Energy (DOE) Office
  of Science User Facility operated for the DOE Office of Science by Argonne National
  Laboratory under Contract DE-AC02-06CH11357.'
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Eugenio
  full_name: Paris, Eugenio
  last_name: Paris
- first_name: Yi
  full_name: Tseng, Yi
  last_name: Tseng
- first_name: Ekaterina
  full_name: Paerschke, Ekaterina
  id: 8275014E-6063-11E9-9B7F-6338E6697425
  last_name: Paerschke
  orcid: 0000-0003-0853-8182
- first_name: Wenliang
  full_name: Zhang, Wenliang
  last_name: Zhang
- first_name: Mary H
  full_name: Upton, Mary H
  last_name: Upton
- first_name: Anna
  full_name: Efimenko, Anna
  last_name: Efimenko
- first_name: Katharina
  full_name: Rolfs, Katharina
  last_name: Rolfs
- first_name: Daniel E
  full_name: McNally, Daniel E
  last_name: McNally
- first_name: Laura
  full_name: Maurel, Laura
  last_name: Maurel
- first_name: Muntaser
  full_name: Naamneh, Muntaser
  last_name: Naamneh
- first_name: Marco
  full_name: Caputo, Marco
  last_name: Caputo
- first_name: Vladimir N
  full_name: Strocov, Vladimir N
  last_name: Strocov
- first_name: Zhiming
  full_name: Wang, Zhiming
  last_name: Wang
- first_name: Diego
  full_name: Casa, Diego
  last_name: Casa
- first_name: Christof W
  full_name: Schneider, Christof W
  last_name: Schneider
- first_name: Ekaterina
  full_name: Pomjakushina, Ekaterina
  last_name: Pomjakushina
- first_name: Krzysztof
  full_name: Wohlfeld, Krzysztof
  last_name: Wohlfeld
- first_name: Milan
  full_name: Radovic, Milan
  last_name: Radovic
- first_name: Thorsten
  full_name: Schmitt, Thorsten
  last_name: Schmitt
citation:
  ama: Paris E, Tseng Y, Paerschke E, et al. Strain engineering of the charge and
    spin-orbital interactions in Sr2IrO4. <i>Proceedings of the National Academy of
    Sciences of the United States of America</i>. 2020;117(40):24764-24770. doi:<a
    href="https://doi.org/10.1073/pnas.2012043117">10.1073/pnas.2012043117</a>
  apa: Paris, E., Tseng, Y., Paerschke, E., Zhang, W., Upton, M. H., Efimenko, A.,
    … Schmitt, T. (2020). Strain engineering of the charge and spin-orbital interactions
    in Sr2IrO4. <i>Proceedings of the National Academy of Sciences of the United States
    of America</i>. National Academy of Sciences. <a href="https://doi.org/10.1073/pnas.2012043117">https://doi.org/10.1073/pnas.2012043117</a>
  chicago: Paris, Eugenio, Yi Tseng, Ekaterina Paerschke, Wenliang Zhang, Mary H Upton,
    Anna Efimenko, Katharina Rolfs, et al. “Strain Engineering of the Charge and Spin-Orbital
    Interactions in Sr2IrO4.” <i>Proceedings of the National Academy of Sciences of
    the United States of America</i>. National Academy of Sciences, 2020. <a href="https://doi.org/10.1073/pnas.2012043117">https://doi.org/10.1073/pnas.2012043117</a>.
  ieee: E. Paris <i>et al.</i>, “Strain engineering of the charge and spin-orbital
    interactions in Sr2IrO4,” <i>Proceedings of the National Academy of Sciences of
    the United States of America</i>, vol. 117, no. 40. National Academy of Sciences,
    pp. 24764–24770, 2020.
  ista: Paris E, Tseng Y, Paerschke E, Zhang W, Upton MH, Efimenko A, Rolfs K, McNally
    DE, Maurel L, Naamneh M, Caputo M, Strocov VN, Wang Z, Casa D, Schneider CW, Pomjakushina
    E, Wohlfeld K, Radovic M, Schmitt T. 2020. Strain engineering of the charge and
    spin-orbital interactions in Sr2IrO4. Proceedings of the National Academy of Sciences
    of the United States of America. 117(40), 24764–24770.
  mla: Paris, Eugenio, et al. “Strain Engineering of the Charge and Spin-Orbital Interactions
    in Sr2IrO4.” <i>Proceedings of the National Academy of Sciences of the United
    States of America</i>, vol. 117, no. 40, National Academy of Sciences, 2020, pp.
    24764–70, doi:<a href="https://doi.org/10.1073/pnas.2012043117">10.1073/pnas.2012043117</a>.
  short: E. Paris, Y. Tseng, E. Paerschke, W. Zhang, M.H. Upton, A. Efimenko, K. Rolfs,
    D.E. McNally, L. Maurel, M. Naamneh, M. Caputo, V.N. Strocov, Z. Wang, D. Casa,
    C.W. Schneider, E. Pomjakushina, K. Wohlfeld, M. Radovic, T. Schmitt, Proceedings
    of the National Academy of Sciences of the United States of America 117 (2020)
    24764–24770.
date_created: 2020-10-25T23:01:17Z
date_published: 2020-10-06T00:00:00Z
date_updated: 2025-07-10T11:57:17Z
day: '06'
ddc:
- '530'
department:
- _id: MiLe
doi: 10.1073/pnas.2012043117
ec_funded: 1
external_id:
  arxiv:
  - '2009.12262'
  isi:
  - '000579059100029'
  pmid:
  - '32958669'
file:
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  checksum: 1638fa36b442e2868576c6dd7d6dc505
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  creator: cziletti
  date_created: 2020-10-28T11:53:12Z
  date_updated: 2020-10-28T11:53:12Z
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  file_name: 2020_PNAS_Paris.pdf
  file_size: 1176522
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  success: 1
file_date_updated: 2020-10-28T11:53:12Z
has_accepted_license: '1'
intvolume: '       117'
isi: 1
issue: '40'
language:
- iso: eng
month: '10'
oa: 1
oa_version: Published Version
page: 24764-24770
pmid: 1
project:
- _id: 260C2330-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '754411'
  name: ISTplus - Postdoctoral Fellowships
publication: Proceedings of the National Academy of Sciences of the United States
  of America
publication_identifier:
  eissn:
  - 1091-6490
  issn:
  - 0027-8424
publication_status: published
publisher: National Academy of Sciences
quality_controlled: '1'
scopus_import: '1'
status: public
title: Strain engineering of the charge and spin-orbital interactions in Sr2IrO4
tmp:
  image: /images/cc_by_nc_nd.png
  legal_code_url: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
  name: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
    (CC BY-NC-ND 4.0)
  short: CC BY-NC-ND (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 117
year: '2020'
...
---
_id: '8700'
abstract:
- lang: eng
  text: Translation termination is a finishing step of protein biosynthesis. The significant
    role in this process belongs not only to protein factors of translation termination
    but also to the nearest nucleotide environment of stop codons. There are numerous
    descriptions of stop codons readthrough, which is due to specific nucleotide sequences
    behind them. However, represented data are segmental and don’t explain the mechanism
    of the nucleotide context influence on translation termination. It is well known
    that stop codon UAA usage is preferential for A/T-rich genes, and UAG, UGA—for
    G/C-rich genes, which is related to an expression level of these genes. We investigated
    the connection between a frequency of nucleotides occurrence in 3' area of stop
    codons in the human genome and their influence on translation termination efficiency.
    We found that 3' context motif, which is cognate to the sequence of a stop codon,
    stimulates translation termination. At the same time, the nucleotide composition
    of 3' sequence that differs from stop codon, decreases translation termination
    efficiency.
acknowledgement: We would like to thank the staff of CCU Genome for sequencing, Tat’yana
  Pestova, Christopher Helen, and Lyudmila Yur’evna Frolova for the plasmids provided,
  as well as the laboratory staff for productive discussion of the results. We also
  thank former laboratory employees Yuliya Vladimirovna Bocharova and Polina Nikolaevna
  Kryuchkova for the exceptional contribution to the present work.
article_processing_charge: No
article_type: original
author:
- first_name: E. E.
  full_name: Sokolova, E. E.
  last_name: Sokolova
- first_name: Petr
  full_name: Vlasov, Petr
  id: 38BB9AC4-F248-11E8-B48F-1D18A9856A87
  last_name: Vlasov
- first_name: T. V.
  full_name: Egorova, T. V.
  last_name: Egorova
- first_name: A. V.
  full_name: Shuvalov, A. V.
  last_name: Shuvalov
- first_name: E. Z.
  full_name: Alkalaeva, E. Z.
  last_name: Alkalaeva
citation:
  ama: Sokolova EE, Vlasov P, Egorova TV, Shuvalov AV, Alkalaeva EZ. The influence
    of A/G composition of 3’ stop codon contexts on translation termination efficiency
    in eukaryotes. <i>Molecular Biology</i>. 2020;54(5):739-748. doi:<a href="https://doi.org/10.1134/S0026893320050088">10.1134/S0026893320050088</a>
  apa: Sokolova, E. E., Vlasov, P., Egorova, T. V., Shuvalov, A. V., &#38; Alkalaeva,
    E. Z. (2020). The influence of A/G composition of 3’ stop codon contexts on translation
    termination efficiency in eukaryotes. <i>Molecular Biology</i>. Springer Nature.
    <a href="https://doi.org/10.1134/S0026893320050088">https://doi.org/10.1134/S0026893320050088</a>
  chicago: Sokolova, E. E., Petr Vlasov, T. V. Egorova, A. V. Shuvalov, and E. Z.
    Alkalaeva. “The Influence of A/G Composition of 3’ Stop Codon Contexts on Translation
    Termination Efficiency in Eukaryotes.” <i>Molecular Biology</i>. Springer Nature,
    2020. <a href="https://doi.org/10.1134/S0026893320050088">https://doi.org/10.1134/S0026893320050088</a>.
  ieee: E. E. Sokolova, P. Vlasov, T. V. Egorova, A. V. Shuvalov, and E. Z. Alkalaeva,
    “The influence of A/G composition of 3’ stop codon contexts on translation termination
    efficiency in eukaryotes,” <i>Molecular Biology</i>, vol. 54, no. 5. Springer
    Nature, pp. 739–748, 2020.
  ista: Sokolova EE, Vlasov P, Egorova TV, Shuvalov AV, Alkalaeva EZ. 2020. The influence
    of A/G composition of 3’ stop codon contexts on translation termination efficiency
    in eukaryotes. Molecular Biology. 54(5), 739–748.
  mla: Sokolova, E. E., et al. “The Influence of A/G Composition of 3’ Stop Codon
    Contexts on Translation Termination Efficiency in Eukaryotes.” <i>Molecular Biology</i>,
    vol. 54, no. 5, Springer Nature, 2020, pp. 739–48, doi:<a href="https://doi.org/10.1134/S0026893320050088">10.1134/S0026893320050088</a>.
  short: E.E. Sokolova, P. Vlasov, T.V. Egorova, A.V. Shuvalov, E.Z. Alkalaeva, Molecular
    Biology 54 (2020) 739–748.
date_created: 2020-10-25T23:01:17Z
date_published: 2020-09-01T00:00:00Z
date_updated: 2025-07-10T12:01:20Z
day: '01'
department:
- _id: FyKo
doi: 10.1134/S0026893320050088
external_id:
  isi:
  - '000579441200009'
intvolume: '        54'
isi: 1
issue: '5'
language:
- iso: eng
month: '09'
oa_version: None
page: 739-748
publication: Molecular Biology
publication_identifier:
  eissn:
  - 1608-3245
  issn:
  - 0026-8933
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
related_material:
  record:
  - id: '8701'
    relation: original
    status: public
scopus_import: '1'
status: public
title: The influence of A/G composition of 3' stop codon contexts on translation termination
  efficiency in eukaryotes
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 54
year: '2020'
...
---
_id: '8701'
abstract:
- lang: eng
  text: Translation termination is a finishing step of protein biosynthesis. The significant
    role in this process belongs not only to protein factors of translation termination
    but also to the nearest nucleotide environment of stop codons. There are numerous
    descriptions of stop codons readthrough, which is due to specific nucleotide sequences
    behind them. However, represented data are segmental and don’t explain the mechanism
    of the nucleotide context influence on translation termination. It is well known
    that stop codon UAA usage is preferential for A/T-rich genes, and UAG, UGA—for
    G/C-rich genes, which is related to an expression level of these genes. We investigated
    the connection between a frequency of nucleotides occurrence in 3' area of stop
    codons in the human genome and their influence on translation termination efficiency.
    We found that 3' context motif, which is cognate to the sequence of a stop codon,
    stimulates translation termination. At the same time, the nucleotide composition
    of 3' sequence that differs from stop codon, decreases translation termination
    efficiency.
article_processing_charge: No
article_type: original
author:
- first_name: E. E.
  full_name: Sokolova, E. E.
  last_name: Sokolova
- first_name: Petr
  full_name: Vlasov, Petr
  id: 38BB9AC4-F248-11E8-B48F-1D18A9856A87
  last_name: Vlasov
- first_name: T. V.
  full_name: Egorova, T. V.
  last_name: Egorova
- first_name: A. V.
  full_name: Shuvalov, A. V.
  last_name: Shuvalov
- first_name: E. Z.
  full_name: Alkalaeva, E. Z.
  last_name: Alkalaeva
citation:
  ama: Sokolova EE, Vlasov P, Egorova TV, Shuvalov AV, Alkalaeva EZ. The influence
    of A/G composition of 3’ stop codon contexts on translation termination efficiency
    in eukaryotes. <i>Molekuliarnaia biologiia</i>. 2020;54(5):837-848. doi:<a href="https://doi.org/10.31857/S0026898420050080">10.31857/S0026898420050080</a>
  apa: Sokolova, E. E., Vlasov, P., Egorova, T. V., Shuvalov, A. V., &#38; Alkalaeva,
    E. Z. (2020). The influence of A/G composition of 3’ stop codon contexts on translation
    termination efficiency in eukaryotes. <i>Molekuliarnaia biologiia</i>. Russian
    Academy of Sciences. <a href="https://doi.org/10.31857/S0026898420050080">https://doi.org/10.31857/S0026898420050080</a>
  chicago: Sokolova, E. E., Petr Vlasov, T. V. Egorova, A. V. Shuvalov, and E. Z.
    Alkalaeva. “The influence of A/G composition of 3’ stop codon contexts on translation
    termination efficiency in eukaryotes.” <i>Molekuliarnaia biologiia</i>. Russian
    Academy of Sciences, 2020. <a href="https://doi.org/10.31857/S0026898420050080">https://doi.org/10.31857/S0026898420050080</a>.
  ieee: E. E. Sokolova, P. Vlasov, T. V. Egorova, A. V. Shuvalov, and E. Z. Alkalaeva,
    “The influence of A/G composition of 3’ stop codon contexts on translation termination
    efficiency in eukaryotes,” <i>Molekuliarnaia biologiia</i>, vol. 54, no. 5. Russian
    Academy of Sciences, pp. 837–848, 2020.
  ista: Sokolova EE, Vlasov P, Egorova TV, Shuvalov AV, Alkalaeva EZ. 2020. The influence
    of A/G composition of 3’ stop codon contexts on translation termination efficiency
    in eukaryotes. Molekuliarnaia biologiia. 54(5), 837–848.
  mla: Sokolova, E. E., et al. “The influence of A/G composition of 3’ stop codon
    contexts on translation termination efficiency in eukaryotes.” <i>Molekuliarnaia
    biologiia</i>, vol. 54, no. 5, Russian Academy of Sciences, 2020, pp. 837–48,
    doi:<a href="https://doi.org/10.31857/S0026898420050080">10.31857/S0026898420050080</a>.
  short: E.E. Sokolova, P. Vlasov, T.V. Egorova, A.V. Shuvalov, E.Z. Alkalaeva, Molekuliarnaia
    biologiia 54 (2020) 837–848.
date_created: 2020-10-25T23:01:17Z
date_published: 2020-09-01T00:00:00Z
date_updated: 2025-07-10T12:01:20Z
day: '01'
department:
- _id: FyKo
doi: 10.31857/S0026898420050080
external_id:
  pmid:
  - '33009793'
intvolume: '        54'
issue: '5'
language:
- iso: rus
month: '09'
oa_version: None
page: 837-848
pmid: 1
publication: Molekuliarnaia biologiia
publication_identifier:
  issn:
  - 0026-8984
publication_status: published
publisher: Russian Academy of Sciences
quality_controlled: '1'
related_material:
  record:
  - id: '8700'
    relation: translation
    status: public
scopus_import: '1'
status: public
title: The influence of A/G composition of 3' stop codon contexts on translation termination
  efficiency in eukaryotes
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 54
year: '2020'
...
---
_id: '8704'
abstract:
- lang: eng
  text: Traditional robotic control suits require profound task-specific knowledge
    for designing, building and testing control software. The rise of Deep Learning
    has enabled end-to-end solutions to be learned entirely from data, requiring minimal
    knowledge about the application area. We design a learning scheme to train end-to-end
    linear dynamical systems (LDS)s by gradient descent in imitation learning robotic
    domains. We introduce a new regularization loss component together with a learning
    algorithm that improves the stability of the learned autonomous system, by forcing
    the eigenvalues of the internal state updates of an LDS to be negative reals.
    We evaluate our approach on a series of real-life and simulated robotic experiments,
    in comparison to linear and nonlinear Recurrent Neural Network (RNN) architectures.
    Our results show that our stabilizing method significantly improves test performance
    of LDS, enabling such linear models to match the performance of contemporary nonlinear
    RNN architectures. A video of the obstacle avoidance performance of our method
    on a mobile robot, in unseen environments, compared to other methods can be viewed
    at https://youtu.be/mhEsCoNao5E.
acknowledgement: M.L. is supported in parts by the Austrian Science Fund (FWF) under
  grant Z211-N23 (Wittgenstein Award). R.H., and R.G. are partially supported by the
  Horizon-2020 ECSELProject grant No. 783163 (iDev40), and the Austrian Research Promotion
  Agency (FFG), Project No. 860424. R.H. and D.R. is partially supported by the Boeing
  Company.
alternative_title:
- ICRA
article_processing_charge: No
author:
- first_name: Mathias
  full_name: Lechner, Mathias
  id: 3DC22916-F248-11E8-B48F-1D18A9856A87
  last_name: Lechner
- first_name: Ramin
  full_name: Hasani, Ramin
  last_name: Hasani
- first_name: Daniela
  full_name: Rus, Daniela
  last_name: Rus
- first_name: Radu
  full_name: Grosu, Radu
  last_name: Grosu
citation:
  ama: 'Lechner M, Hasani R, Rus D, Grosu R. Gershgorin loss stabilizes the recurrent
    neural network compartment of an end-to-end robot learning scheme. In: <i>Proceedings
    - IEEE International Conference on Robotics and Automation</i>. IEEE; 2020:5446-5452.
    doi:<a href="https://doi.org/10.1109/ICRA40945.2020.9196608">10.1109/ICRA40945.2020.9196608</a>'
  apa: 'Lechner, M., Hasani, R., Rus, D., &#38; Grosu, R. (2020). Gershgorin loss
    stabilizes the recurrent neural network compartment of an end-to-end robot learning
    scheme. In <i>Proceedings - IEEE International Conference on Robotics and Automation</i>
    (pp. 5446–5452). Paris, France: IEEE. <a href="https://doi.org/10.1109/ICRA40945.2020.9196608">https://doi.org/10.1109/ICRA40945.2020.9196608</a>'
  chicago: Lechner, Mathias, Ramin Hasani, Daniela Rus, and Radu Grosu. “Gershgorin
    Loss Stabilizes the Recurrent Neural Network Compartment of an End-to-End Robot
    Learning Scheme.” In <i>Proceedings - IEEE International Conference on Robotics
    and Automation</i>, 5446–52. IEEE, 2020. <a href="https://doi.org/10.1109/ICRA40945.2020.9196608">https://doi.org/10.1109/ICRA40945.2020.9196608</a>.
  ieee: M. Lechner, R. Hasani, D. Rus, and R. Grosu, “Gershgorin loss stabilizes the
    recurrent neural network compartment of an end-to-end robot learning scheme,”
    in <i>Proceedings - IEEE International Conference on Robotics and Automation</i>,
    Paris, France, 2020, pp. 5446–5452.
  ista: 'Lechner M, Hasani R, Rus D, Grosu R. 2020. Gershgorin loss stabilizes the
    recurrent neural network compartment of an end-to-end robot learning scheme. Proceedings
    - IEEE International Conference on Robotics and Automation. ICRA: International
    Conference on Robotics and Automation, ICRA, , 5446–5452.'
  mla: Lechner, Mathias, et al. “Gershgorin Loss Stabilizes the Recurrent Neural Network
    Compartment of an End-to-End Robot Learning Scheme.” <i>Proceedings - IEEE International
    Conference on Robotics and Automation</i>, IEEE, 2020, pp. 5446–52, doi:<a href="https://doi.org/10.1109/ICRA40945.2020.9196608">10.1109/ICRA40945.2020.9196608</a>.
  short: M. Lechner, R. Hasani, D. Rus, R. Grosu, in:, Proceedings - IEEE International
    Conference on Robotics and Automation, IEEE, 2020, pp. 5446–5452.
conference:
  end_date: 2020-08-31
  location: Paris, France
  name: 'ICRA: International Conference on Robotics and Automation'
  start_date: 2020-05-31
date_created: 2020-10-25T23:01:19Z
date_published: 2020-05-01T00:00:00Z
date_updated: 2025-07-10T12:01:21Z
day: '01'
ddc:
- '000'
department:
- _id: ToHe
doi: 10.1109/ICRA40945.2020.9196608
external_id:
  isi:
  - '000712319503110'
file:
- access_level: open_access
  checksum: fccf7b986ac78046918a298cc6849a50
  content_type: application/pdf
  creator: dernst
  date_created: 2020-11-06T10:58:49Z
  date_updated: 2020-11-06T10:58:49Z
  file_id: '8733'
  file_name: 2020_ICRA_Lechner.pdf
  file_size: 1070010
  relation: main_file
  success: 1
file_date_updated: 2020-11-06T10:58:49Z
has_accepted_license: '1'
isi: 1
language:
- iso: eng
month: '05'
oa: 1
oa_version: Submitted Version
page: 5446-5452
project:
- _id: 25F42A32-B435-11E9-9278-68D0E5697425
  call_identifier: FWF
  grant_number: Z211
  name: Formal methods for the design and analysis of complex systems
publication: Proceedings - IEEE International Conference on Robotics and Automation
publication_identifier:
  isbn:
  - '9781728173955'
  issn:
  - 1050-4729
publication_status: published
publisher: IEEE
quality_controlled: '1'
scopus_import: '1'
status: public
title: Gershgorin loss stabilizes the recurrent neural network compartment of an end-to-end
  robot learning scheme
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2020'
...
---
_id: '8721'
abstract:
- lang: eng
  text: Spontaneously arising channels that transport the phytohormone auxin provide
    positional cues for self-organizing aspects of plant development such as flexible
    vasculature regeneration or its patterning during leaf venation. The auxin canalization
    hypothesis proposes a feedback between auxin signaling and transport as the underlying
    mechanism, but molecular players await discovery. We identified part of the machinery
    that routes auxin transport. The auxin-regulated receptor CAMEL (Canalization-related
    Auxin-regulated Malectin-type RLK) together with CANAR (Canalization-related Receptor-like
    kinase) interact with and phosphorylate PIN auxin transporters. camel and canar
    mutants are impaired in PIN1 subcellular trafficking and auxin-mediated PIN polarization,
    which macroscopically manifests as defects in leaf venation and vasculature regeneration
    after wounding. The CAMEL-CANAR receptor complex is part of the auxin feedback
    that coordinates polarization of individual cells during auxin canalization.
acknowledged_ssus:
- _id: Bio
- _id: LifeSc
acknowledgement: 'We acknowledge M. Glanc and Y. Zhang for providing entryclones;
  Vienna Biocenter Core Facilities (VBCF) for recombinantprotein production and purification;
  Vienna Biocenter Massspectrometry Facility, Bioimaging, and Life Science Facilities
  at IST Austria and Proteomics Core Facility CEITEC for a great assistance.Funding:This
  project received funding from the European Research Council (ERC) under the European
  Union’s Horizon 2020 research and innovation program (grant agreement 742985) and
  Austrian Science Fund (FWF): I 3630-B25 to J.F.and by grants from the Austrian Academy
  of Science through the Gregor Mendel Institute (Y.B.) and the Austrian Agency for
  International Cooperation in Education and Research (D.D.); the Netherlands Organization
  for Scientific Research (NWO; VIDI-864.13.001) (W.S.); the Research Foundation–Flanders
  (FWO;Odysseus II G0D0515N) and a European Research Council grant (ERC; StG TORPEDO;
  714055) to B.D.R., B.Y., and E.M.; and the Hertha Firnberg Programme postdoctoral
  fellowship (T-947) from the FWF Austrian Science Fund to E.S.-L.; J.H. is the recipient
  of a DOC Fellowship of the Austrian Academy of Sciences at IST Austria.'
article_processing_charge: No
article_type: original
author:
- first_name: Jakub
  full_name: Hajny, Jakub
  id: 4800CC20-F248-11E8-B48F-1D18A9856A87
  last_name: Hajny
  orcid: 0000-0003-2140-7195
- first_name: Tomas
  full_name: Prat, Tomas
  id: 3DA3BFEE-F248-11E8-B48F-1D18A9856A87
  last_name: Prat
- first_name: N
  full_name: Rydza, N
  last_name: Rydza
- first_name: Lesia
  full_name: Rodriguez Solovey, Lesia
  id: 3922B506-F248-11E8-B48F-1D18A9856A87
  last_name: Rodriguez Solovey
  orcid: 0000-0002-7244-7237
- first_name: Shutang
  full_name: Tan, Shutang
  id: 2DE75584-F248-11E8-B48F-1D18A9856A87
  last_name: Tan
  orcid: 0000-0002-0471-8285
- first_name: Inge
  full_name: Verstraeten, Inge
  id: 362BF7FE-F248-11E8-B48F-1D18A9856A87
  last_name: Verstraeten
  orcid: 0000-0001-7241-2328
- first_name: David
  full_name: Domjan, David
  id: C684CD7A-257E-11EA-9B6F-D8588B4F947F
  last_name: Domjan
  orcid: 0000-0003-2267-106X
- first_name: E
  full_name: Mazur, E
  last_name: Mazur
- first_name: E
  full_name: Smakowska-Luzan, E
  last_name: Smakowska-Luzan
- first_name: W
  full_name: Smet, W
  last_name: Smet
- first_name: E
  full_name: Mor, E
  last_name: Mor
- first_name: J
  full_name: Nolf, J
  last_name: Nolf
- first_name: B
  full_name: Yang, B
  last_name: Yang
- first_name: W
  full_name: Grunewald, W
  last_name: Grunewald
- first_name: Gergely
  full_name: Molnar, Gergely
  id: 34F1AF46-F248-11E8-B48F-1D18A9856A87
  last_name: Molnar
- first_name: Y
  full_name: Belkhadir, Y
  last_name: Belkhadir
- first_name: B
  full_name: De Rybel, B
  last_name: De Rybel
- first_name: Jiří
  full_name: Friml, Jiří
  id: 4159519E-F248-11E8-B48F-1D18A9856A87
  last_name: Friml
  orcid: 0000-0002-8302-7596
citation:
  ama: Hajny J, Prat T, Rydza N, et al. Receptor kinase module targets PIN-dependent
    auxin transport during canalization. <i>Science</i>. 2020;370(6516):550-557. doi:<a
    href="https://doi.org/10.1126/science.aba3178">10.1126/science.aba3178</a>
  apa: Hajny, J., Prat, T., Rydza, N., Rodriguez Solovey, L., Tan, S., Verstraeten,
    I., … Friml, J. (2020). Receptor kinase module targets PIN-dependent auxin transport
    during canalization. <i>Science</i>. American Association for the Advancement
    of Science. <a href="https://doi.org/10.1126/science.aba3178">https://doi.org/10.1126/science.aba3178</a>
  chicago: Hajny, Jakub, Tomas Prat, N Rydza, Lesia Rodriguez Solovey, Shutang Tan,
    Inge Verstraeten, David Domjan, et al. “Receptor Kinase Module Targets PIN-Dependent
    Auxin Transport during Canalization.” <i>Science</i>. American Association for
    the Advancement of Science, 2020. <a href="https://doi.org/10.1126/science.aba3178">https://doi.org/10.1126/science.aba3178</a>.
  ieee: J. Hajny <i>et al.</i>, “Receptor kinase module targets PIN-dependent auxin
    transport during canalization,” <i>Science</i>, vol. 370, no. 6516. American Association
    for the Advancement of Science, pp. 550–557, 2020.
  ista: Hajny J, Prat T, Rydza N, Rodriguez Solovey L, Tan S, Verstraeten I, Domjan
    D, Mazur E, Smakowska-Luzan E, Smet W, Mor E, Nolf J, Yang B, Grunewald W, Molnar
    G, Belkhadir Y, De Rybel B, Friml J. 2020. Receptor kinase module targets PIN-dependent
    auxin transport during canalization. Science. 370(6516), 550–557.
  mla: Hajny, Jakub, et al. “Receptor Kinase Module Targets PIN-Dependent Auxin Transport
    during Canalization.” <i>Science</i>, vol. 370, no. 6516, American Association
    for the Advancement of Science, 2020, pp. 550–57, doi:<a href="https://doi.org/10.1126/science.aba3178">10.1126/science.aba3178</a>.
  short: J. Hajny, T. Prat, N. Rydza, L. Rodriguez Solovey, S. Tan, I. Verstraeten,
    D. Domjan, E. Mazur, E. Smakowska-Luzan, W. Smet, E. Mor, J. Nolf, B. Yang, W.
    Grunewald, G. Molnar, Y. Belkhadir, B. De Rybel, J. Friml, Science 370 (2020)
    550–557.
date_created: 2020-11-02T10:04:46Z
date_published: 2020-10-30T00:00:00Z
date_updated: 2025-04-14T07:45:00Z
day: '30'
department:
- _id: JiFr
doi: 10.1126/science.aba3178
ec_funded: 1
external_id:
  isi:
  - '000583031800041'
  pmid:
  - '33122378'
intvolume: '       370'
isi: 1
issue: '6516'
language:
- iso: eng
main_file_link:
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  url: https://europepmc.org/article/MED/33122378#free-full-text
month: '10'
oa: 1
oa_version: Published Version
page: 550-557
pmid: 1
project:
- _id: 261099A6-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '742985'
  name: Tracing Evolution of Auxin Transport and Polarity in Plants
- _id: 26538374-B435-11E9-9278-68D0E5697425
  call_identifier: FWF
  grant_number: I03630
  name: Molecular mechanisms of endocytic cargo recognition in plants
- _id: 2699E3D2-B435-11E9-9278-68D0E5697425
  grant_number: '25239'
  name: Cell surface receptor complexes for PIN polarity and auxin-mediated development
publication: Science
publication_identifier:
  eissn:
  - 1095-9203
  issn:
  - 0036-8075
publication_status: published
publisher: American Association for the Advancement of Science
quality_controlled: '1'
related_material:
  link:
  - description: News on IST Homepage
    relation: press_release
    url: https://ist.ac.at/en/news/molecular-compass-for-cell-orientation/
scopus_import: '1'
status: public
title: Receptor kinase module targets PIN-dependent auxin transport during canalization
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 370
year: '2020'
...
