---
_id: '12152'
abstract:
- lang: eng
  text: ESCRT-III filaments are composite cytoskeletal polymers that can constrict
    and cut cell membranes from the inside of the membrane neck. Membrane-bound ESCRT-III
    filaments undergo a series of dramatic composition and geometry changes in the
    presence of an ATP-consuming Vps4 enzyme, which causes stepwise changes in the
    membrane morphology. We set out to understand the physical mechanisms involved
    in translating the changes in ESCRT-III polymer composition into membrane deformation.
    We have built a coarse-grained model in which ESCRT-III polymers of different
    geometries and mechanical properties are allowed to copolymerise and bind to a
    deformable membrane. By modelling ATP-driven stepwise depolymerisation of specific
    polymers, we identify mechanical regimes in which changes in filament composition
    trigger the associated membrane transition from a flat to a buckled state, and
    then to a tubule state that eventually undergoes scission to release a small cargo-loaded
    vesicle. We then characterise how the location and kinetics of polymer loss affects
    the extent of membrane deformation and the efficiency of membrane neck scission.
    Our results identify the near-minimal mechanical conditions for the operation
    of shape-shifting composite polymers that sever membrane necks.
acknowledgement: "A.S . received an award from European Research Council (https://erc.europa.eu,
  “NEPA\"\r\n802960), and an award from the Royal Society (https://royalsociety.org,
  UF160266). L. H.-K.\r\nreceived an award from the Biotechnology and Biological Sciences
  Research Council (https://\r\nwww.ukri.org/councils/bbsrc/). E. L. received an award
  from the University College London (https://www.ucl.ac.uk/biophysics/news/2022/feb/applications-biop-brian-duff-and-ipls-summerundergraduate-studentships-now-open,
  Brian Duff Undergraduate Summer Research Studentship). B.B. and A.S. received an
  award from Volkswagen Foundation https://www.volkswagenstiftung.de/en/foundation,
  Az 96727), and an award from Medical Research Council (https://www.ukri.org/councils/mrc,
  MC_CF1226). A. R. received an\r\naward from the Swiss National Fund for Research
  (https://www.snf.ch/en, 31003A_130520,\r\n31003A_149975, and 31003A_173087) and
  an award from the European Research Council\r\nConsolidator (https://erc.europa.eu,
  311536). The funders had no role in study design, data collection and analysis,
  decision to publish, or preparation of the manuscript."
article_number: e1010586
article_processing_charge: No
article_type: original
author:
- first_name: Xiuyun
  full_name: Jiang, Xiuyun
  last_name: Jiang
- first_name: Lena
  full_name: Harker-Kirschneck, Lena
  last_name: Harker-Kirschneck
- first_name: Christian Eduardo
  full_name: Vanhille-Campos, Christian Eduardo
  id: 3adeca52-9313-11ed-b1ac-c170b2505714
  last_name: Vanhille-Campos
- first_name: Anna-Katharina
  full_name: Pfitzner, Anna-Katharina
  last_name: Pfitzner
- first_name: Elene
  full_name: Lominadze, Elene
  last_name: Lominadze
- first_name: Aurélien
  full_name: Roux, Aurélien
  last_name: Roux
- first_name: Buzz
  full_name: Baum, Buzz
  last_name: Baum
- first_name: Anđela
  full_name: Šarić, Anđela
  id: bf63d406-f056-11eb-b41d-f263a6566d8b
  last_name: Šarić
  orcid: 0000-0002-7854-2139
citation:
  ama: Jiang X, Harker-Kirschneck L, Vanhille-Campos CE, et al. Modelling membrane
    reshaping by staged polymerization of ESCRT-III filaments. <i>PLOS Computational
    Biology</i>. 2022;18(10). doi:<a href="https://doi.org/10.1371/journal.pcbi.1010586">10.1371/journal.pcbi.1010586</a>
  apa: Jiang, X., Harker-Kirschneck, L., Vanhille-Campos, C. E., Pfitzner, A.-K.,
    Lominadze, E., Roux, A., … Šarić, A. (2022). Modelling membrane reshaping by staged
    polymerization of ESCRT-III filaments. <i>PLOS Computational Biology</i>. Public
    Library of Science. <a href="https://doi.org/10.1371/journal.pcbi.1010586">https://doi.org/10.1371/journal.pcbi.1010586</a>
  chicago: Jiang, Xiuyun, Lena Harker-Kirschneck, Christian Eduardo Vanhille-Campos,
    Anna-Katharina Pfitzner, Elene Lominadze, Aurélien Roux, Buzz Baum, and Anđela
    Šarić. “Modelling Membrane Reshaping by Staged Polymerization of ESCRT-III Filaments.”
    <i>PLOS Computational Biology</i>. Public Library of Science, 2022. <a href="https://doi.org/10.1371/journal.pcbi.1010586">https://doi.org/10.1371/journal.pcbi.1010586</a>.
  ieee: X. Jiang <i>et al.</i>, “Modelling membrane reshaping by staged polymerization
    of ESCRT-III filaments,” <i>PLOS Computational Biology</i>, vol. 18, no. 10. Public
    Library of Science, 2022.
  ista: Jiang X, Harker-Kirschneck L, Vanhille-Campos CE, Pfitzner A-K, Lominadze
    E, Roux A, Baum B, Šarić A. 2022. Modelling membrane reshaping by staged polymerization
    of ESCRT-III filaments. PLOS Computational Biology. 18(10), e1010586.
  mla: Jiang, Xiuyun, et al. “Modelling Membrane Reshaping by Staged Polymerization
    of ESCRT-III Filaments.” <i>PLOS Computational Biology</i>, vol. 18, no. 10, e1010586,
    Public Library of Science, 2022, doi:<a href="https://doi.org/10.1371/journal.pcbi.1010586">10.1371/journal.pcbi.1010586</a>.
  short: X. Jiang, L. Harker-Kirschneck, C.E. Vanhille-Campos, A.-K. Pfitzner, E.
    Lominadze, A. Roux, B. Baum, A. Šarić, PLOS Computational Biology 18 (2022).
date_created: 2023-01-12T12:08:10Z
date_published: 2022-10-17T00:00:00Z
date_updated: 2023-08-04T09:03:21Z
day: '17'
ddc:
- '570'
department:
- _id: AnSa
doi: 10.1371/journal.pcbi.1010586
ec_funded: 1
external_id:
  isi:
  - '000924885500005'
file:
- access_level: open_access
  checksum: bada6a7865e470cf42bbdfa67dd471d2
  content_type: application/pdf
  creator: dernst
  date_created: 2023-01-24T10:45:01Z
  date_updated: 2023-01-24T10:45:01Z
  file_id: '12359'
  file_name: 2022_PLoSCompBio_Jiang.pdf
  file_size: 2641067
  relation: main_file
  success: 1
file_date_updated: 2023-01-24T10:45:01Z
has_accepted_license: '1'
intvolume: '        18'
isi: 1
issue: '10'
keyword:
- Computational Theory and Mathematics
- Cellular and Molecular Neuroscience
- Genetics
- Molecular Biology
- Ecology
- Modeling and Simulation
- Ecology
- Evolution
- Behavior and Systematics
language:
- iso: eng
month: '10'
oa: 1
oa_version: Published Version
project:
- _id: eba2549b-77a9-11ec-83b8-a81e493eae4e
  call_identifier: H2020
  grant_number: '802960'
  name: 'Non-Equilibrium Protein Assembly: from Building Blocks to Biological Machines'
- _id: eba0f67c-77a9-11ec-83b8-cc8501b3e222
  grant_number: '96752'
  name: 'The evolution of trafficking: from archaea to eukaryotes'
publication: PLOS Computational Biology
publication_identifier:
  issn:
  - 1553-7358
publication_status: published
publisher: Public Library of Science
quality_controlled: '1'
related_material:
  link:
  - relation: software
    url: https://github.com/sharonJXY/3-filament-model
scopus_import: '1'
status: public
title: Modelling membrane reshaping by staged polymerization of ESCRT-III filaments
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: 18
year: '2022'
...
---
_id: '8997'
abstract:
- lang: eng
  text: Phenomenological relations such as Ohm’s or Fourier’s law have a venerable
    history in physics but are still scarce in biology. This situation restrains predictive
    theory. Here, we build on bacterial “growth laws,” which capture physiological
    feedback between translation and cell growth, to construct a minimal biophysical
    model for the combined action of ribosome-targeting antibiotics. Our model predicts
    drug interactions like antagonism or synergy solely from responses to individual
    drugs. We provide analytical results for limiting cases, which agree well with
    numerical results. We systematically refine the model by including direct physical
    interactions of different antibiotics on the ribosome. In a limiting case, our
    model provides a mechanistic underpinning for recent predictions of higher-order
    interactions that were derived using entropy maximization. We further refine the
    model to include the effects of antibiotics that mimic starvation and the presence
    of resistance genes. We describe the impact of a starvation-mimicking antibiotic
    on drug interactions analytically and verify it experimentally. Our extended model
    suggests a change in the type of drug interaction that depends on the strength
    of resistance, which challenges established rescaling paradigms. We experimentally
    show that the presence of unregulated resistance genes can lead to altered drug
    interaction, which agrees with the prediction of the model. While minimal, the
    model is readily adaptable and opens the door to predicting interactions of second
    and higher-order in a broad range of biological systems.
acknowledgement: 'This work was supported in part by Tum stipend of Knafelj foundation
  (to B.K.), Austrian Science Fund (FWF) standalone grants P 27201-B22 (to T.B.) and
  P 28844(to G.T.), HFSP program Grant RGP0042/2013 (to T.B.), German Research Foundation
  (DFG) individual grant BO 3502/2-1 (to T.B.), and German Research Foundation (DFG)
  Collaborative Research Centre (SFB) 1310 (to T.B.). '
article_number: e1008529
article_processing_charge: Yes
article_type: original
author:
- first_name: Bor
  full_name: Kavcic, Bor
  id: 350F91D2-F248-11E8-B48F-1D18A9856A87
  last_name: Kavcic
  orcid: 0000-0001-6041-254X
- first_name: Gašper
  full_name: Tkačik, Gašper
  id: 3D494DCA-F248-11E8-B48F-1D18A9856A87
  last_name: Tkačik
  orcid: 0000-0002-6699-1455
- first_name: Tobias
  full_name: Bollenbach, Tobias
  id: 3E6DB97A-F248-11E8-B48F-1D18A9856A87
  last_name: Bollenbach
  orcid: 0000-0003-4398-476X
citation:
  ama: Kavcic B, Tkačik G, Bollenbach MT. Minimal biophysical model of combined antibiotic
    action. <i>PLOS Computational Biology</i>. 2021;17. doi:<a href="https://doi.org/10.1371/journal.pcbi.1008529">10.1371/journal.pcbi.1008529</a>
  apa: Kavcic, B., Tkačik, G., &#38; Bollenbach, M. T. (2021). Minimal biophysical
    model of combined antibiotic action. <i>PLOS Computational Biology</i>. Public
    Library of Science. <a href="https://doi.org/10.1371/journal.pcbi.1008529">https://doi.org/10.1371/journal.pcbi.1008529</a>
  chicago: Kavcic, Bor, Gašper Tkačik, and Mark Tobias Bollenbach. “Minimal Biophysical
    Model of Combined Antibiotic Action.” <i>PLOS Computational Biology</i>. Public
    Library of Science, 2021. <a href="https://doi.org/10.1371/journal.pcbi.1008529">https://doi.org/10.1371/journal.pcbi.1008529</a>.
  ieee: B. Kavcic, G. Tkačik, and M. T. Bollenbach, “Minimal biophysical model of
    combined antibiotic action,” <i>PLOS Computational Biology</i>, vol. 17. Public
    Library of Science, 2021.
  ista: Kavcic B, Tkačik G, Bollenbach MT. 2021. Minimal biophysical model of combined
    antibiotic action. PLOS Computational Biology. 17, e1008529.
  mla: Kavcic, Bor, et al. “Minimal Biophysical Model of Combined Antibiotic Action.”
    <i>PLOS Computational Biology</i>, vol. 17, e1008529, Public Library of Science,
    2021, doi:<a href="https://doi.org/10.1371/journal.pcbi.1008529">10.1371/journal.pcbi.1008529</a>.
  short: B. Kavcic, G. Tkačik, M.T. Bollenbach, PLOS Computational Biology 17 (2021).
date_created: 2021-01-08T07:16:18Z
date_published: 2021-01-07T00:00:00Z
date_updated: 2024-02-21T12:41:41Z
day: '07'
ddc:
- '570'
department:
- _id: GaTk
doi: 10.1371/journal.pcbi.1008529
external_id:
  isi:
  - '000608045000010'
file:
- access_level: open_access
  checksum: e29f2b42651bef8e034781de8781ffac
  content_type: application/pdf
  creator: dernst
  date_created: 2021-02-04T12:30:48Z
  date_updated: 2021-02-04T12:30:48Z
  file_id: '9092'
  file_name: 2021_PlosComBio_Kavcic.pdf
  file_size: 3690053
  relation: main_file
  success: 1
file_date_updated: 2021-02-04T12:30:48Z
has_accepted_license: '1'
intvolume: '        17'
isi: 1
keyword:
- Modelling and Simulation
- Genetics
- Molecular Biology
- Antibiotics
- Drug interactions
language:
- iso: eng
month: '01'
oa: 1
oa_version: Published Version
project:
- _id: 25E9AF9E-B435-11E9-9278-68D0E5697425
  call_identifier: FWF
  grant_number: P27201-B22
  name: Revealing the mechanisms underlying drug interactions
- _id: 254E9036-B435-11E9-9278-68D0E5697425
  call_identifier: FWF
  grant_number: P28844-B27
  name: Biophysics of information processing in gene regulation
publication: PLOS Computational Biology
publication_identifier:
  issn:
  - 1553-7358
publication_status: published
publisher: Public Library of Science
quality_controlled: '1'
related_material:
  record:
  - id: '7673'
    relation: earlier_version
    status: public
  - id: '8930'
    relation: research_data
    status: public
status: public
title: Minimal biophysical model of combined antibiotic action
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: 17
year: '2021'
...
---
_id: '7569'
abstract:
- lang: eng
  text: 'Genes differ in the frequency at which they are expressed and in the form
    of regulation used to control their activity. In particular, positive or negative
    regulation can lead to activation of a gene in response to an external signal.
    Previous works proposed that the form of regulation of a gene correlates with
    its frequency of usage: positive regulation when the gene is frequently expressed
    and negative regulation when infrequently expressed. Such network design means
    that, in the absence of their regulators, the genes are found in their least required
    activity state, hence regulatory intervention is often necessary. Due to the multitude
    of genes and regulators, spurious binding and unbinding events, called “crosstalk”,
    could occur. To determine how the form of regulation affects the global crosstalk
    in the network, we used a mathematical model that includes multiple regulators
    and multiple target genes. We found that crosstalk depends non-monotonically on
    the availability of regulators. Our analysis showed that excess use of regulation
    entailed by the formerly suggested network design caused high crosstalk levels
    in a large part of the parameter space. We therefore considered the opposite ‘idle’
    design, where the default unregulated state of genes is their frequently required
    activity state. We found, that ‘idle’ design minimized the use of regulation and
    thus minimized crosstalk. In addition, we estimated global crosstalk of S. cerevisiae
    using transcription factors binding data. We demonstrated that even partial network
    data could suffice to estimate its global crosstalk, suggesting its applicability
    to additional organisms. We found that S. cerevisiae estimated crosstalk is lower
    than that of a random network, suggesting that natural selection reduces crosstalk.
    In summary, our study highlights a new type of protein production cost which is
    typically overlooked: that of regulatory interference caused by the presence of
    excess regulators in the cell. It demonstrates the importance of whole-network
    descriptions, which could show effects missed by single-gene models.'
article_number: e1007642
article_processing_charge: No
article_type: original
author:
- first_name: Rok
  full_name: Grah, Rok
  id: 483E70DE-F248-11E8-B48F-1D18A9856A87
  last_name: Grah
  orcid: 0000-0003-2539-3560
- first_name: Tamar
  full_name: Friedlander, Tamar
  last_name: Friedlander
citation:
  ama: Grah R, Friedlander T. The relation between crosstalk and gene regulation form
    revisited. <i>PLOS Computational Biology</i>. 2020;16(2). doi:<a href="https://doi.org/10.1371/journal.pcbi.1007642">10.1371/journal.pcbi.1007642</a>
  apa: Grah, R., &#38; Friedlander, T. (2020). The relation between crosstalk and
    gene regulation form revisited. <i>PLOS Computational Biology</i>. Public Library
    of Science. <a href="https://doi.org/10.1371/journal.pcbi.1007642">https://doi.org/10.1371/journal.pcbi.1007642</a>
  chicago: Grah, Rok, and Tamar Friedlander. “The Relation between Crosstalk and Gene
    Regulation Form Revisited.” <i>PLOS Computational Biology</i>. Public Library
    of Science, 2020. <a href="https://doi.org/10.1371/journal.pcbi.1007642">https://doi.org/10.1371/journal.pcbi.1007642</a>.
  ieee: R. Grah and T. Friedlander, “The relation between crosstalk and gene regulation
    form revisited,” <i>PLOS Computational Biology</i>, vol. 16, no. 2. Public Library
    of Science, 2020.
  ista: Grah R, Friedlander T. 2020. The relation between crosstalk and gene regulation
    form revisited. PLOS Computational Biology. 16(2), e1007642.
  mla: Grah, Rok, and Tamar Friedlander. “The Relation between Crosstalk and Gene
    Regulation Form Revisited.” <i>PLOS Computational Biology</i>, vol. 16, no. 2,
    e1007642, Public Library of Science, 2020, doi:<a href="https://doi.org/10.1371/journal.pcbi.1007642">10.1371/journal.pcbi.1007642</a>.
  short: R. Grah, T. Friedlander, PLOS Computational Biology 16 (2020).
date_created: 2020-03-06T07:39:38Z
date_published: 2020-02-25T00:00:00Z
date_updated: 2023-09-12T11:02:24Z
day: '25'
ddc:
- '000'
- '570'
department:
- _id: CaGu
- _id: GaTk
doi: 10.1371/journal.pcbi.1007642
external_id:
  isi:
  - '000526725200019'
file:
- access_level: open_access
  checksum: 5239dd134dc6e1c71fe7b3ce2953da37
  content_type: application/pdf
  creator: dernst
  date_created: 2020-03-09T15:12:21Z
  date_updated: 2020-07-14T12:48:00Z
  file_id: '7579'
  file_name: 2020_PlosCompBio_Grah.pdf
  file_size: 2209325
  relation: main_file
file_date_updated: 2020-07-14T12:48:00Z
has_accepted_license: '1'
intvolume: '        16'
isi: 1
issue: '2'
language:
- iso: eng
month: '02'
oa: 1
oa_version: Published Version
publication: PLOS Computational Biology
publication_identifier:
  issn:
  - 1553-7358
publication_status: published
publisher: Public Library of Science
quality_controlled: '1'
related_material:
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  - id: '9716'
    relation: research_data
    status: deleted
  - id: '9776'
    relation: research_data
    status: public
  - id: '9779'
    relation: used_in_publication
    status: public
  - id: '8155'
    relation: dissertation_contains
    status: public
  - id: '9777'
    relation: research_data
    status: public
scopus_import: '1'
status: public
title: The relation between crosstalk and gene regulation form revisited
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: 16
year: '2020'
...
---
_id: '8013'
article_number: e1007049
article_processing_charge: No
article_type: original
author:
- first_name: Christopher B.
  full_name: Currin, Christopher B.
  last_name: Currin
- first_name: Phumlani N.
  full_name: Khoza, Phumlani N.
  last_name: Khoza
- first_name: Alexander D.
  full_name: Antrobus, Alexander D.
  last_name: Antrobus
- first_name: Peter E.
  full_name: Latham, Peter E.
  last_name: Latham
- first_name: Tim P
  full_name: Vogels, Tim P
  id: CB6FF8D2-008F-11EA-8E08-2637E6697425
  last_name: Vogels
  orcid: 0000-0003-3295-6181
- first_name: Joseph V.
  full_name: Raimondo, Joseph V.
  last_name: Raimondo
citation:
  ama: 'Currin CB, Khoza PN, Antrobus AD, Latham PE, Vogels TP, Raimondo JV. Think:
    Theory for Africa. <i>PLOS Computational Biology</i>. 2019;15(7). doi:<a href="https://doi.org/10.1371/journal.pcbi.1007049">10.1371/journal.pcbi.1007049</a>'
  apa: 'Currin, C. B., Khoza, P. N., Antrobus, A. D., Latham, P. E., Vogels, T. P.,
    &#38; Raimondo, J. V. (2019). Think: Theory for Africa. <i>PLOS Computational
    Biology</i>. Public Library of Science. <a href="https://doi.org/10.1371/journal.pcbi.1007049">https://doi.org/10.1371/journal.pcbi.1007049</a>'
  chicago: 'Currin, Christopher B., Phumlani N. Khoza, Alexander D. Antrobus, Peter
    E. Latham, Tim P Vogels, and Joseph V. Raimondo. “Think: Theory for Africa.” <i>PLOS
    Computational Biology</i>. Public Library of Science, 2019. <a href="https://doi.org/10.1371/journal.pcbi.1007049">https://doi.org/10.1371/journal.pcbi.1007049</a>.'
  ieee: 'C. B. Currin, P. N. Khoza, A. D. Antrobus, P. E. Latham, T. P. Vogels, and
    J. V. Raimondo, “Think: Theory for Africa,” <i>PLOS Computational Biology</i>,
    vol. 15, no. 7. Public Library of Science, 2019.'
  ista: 'Currin CB, Khoza PN, Antrobus AD, Latham PE, Vogels TP, Raimondo JV. 2019.
    Think: Theory for Africa. PLOS Computational Biology. 15(7), e1007049.'
  mla: 'Currin, Christopher B., et al. “Think: Theory for Africa.” <i>PLOS Computational
    Biology</i>, vol. 15, no. 7, e1007049, Public Library of Science, 2019, doi:<a
    href="https://doi.org/10.1371/journal.pcbi.1007049">10.1371/journal.pcbi.1007049</a>.'
  short: C.B. Currin, P.N. Khoza, A.D. Antrobus, P.E. Latham, T.P. Vogels, J.V. Raimondo,
    PLOS Computational Biology 15 (2019).
date_created: 2020-06-25T12:50:39Z
date_published: 2019-07-11T00:00:00Z
date_updated: 2021-01-12T08:16:31Z
day: '11'
ddc:
- '570'
doi: 10.1371/journal.pcbi.1007049
extern: '1'
external_id:
  pmid:
  - '31295253'
file:
- access_level: open_access
  checksum: 723bdfb6ee5c747cbbb32baf01d17fad
  content_type: application/pdf
  creator: cziletti
  date_created: 2020-07-02T12:22:57Z
  date_updated: 2020-07-14T12:48:08Z
  file_id: '8079'
  file_name: 2019_PlosCompBio_Currin.pdf
  file_size: 773969
  relation: main_file
file_date_updated: 2020-07-14T12:48:08Z
has_accepted_license: '1'
intvolume: '        15'
issue: '7'
language:
- iso: eng
month: '07'
oa: 1
oa_version: Published Version
pmid: 1
publication: PLOS Computational Biology
publication_identifier:
  issn:
  - 1553-7358
publication_status: published
publisher: Public Library of Science
quality_controlled: '1'
status: public
title: 'Think: Theory for Africa'
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: D865714E-FA4E-11E9-B85B-F5C5E5697425
volume: 15
year: '2019'
...
---
_id: '7103'
abstract:
- lang: eng
  text: Origin and functions of intermittent transitions among sleep stages, including
    short awakenings and arousals, constitute a challenge to the current homeostatic
    framework for sleep regulation, focusing on factors modulating sleep over large
    time scales. Here we propose that the complex micro-architecture characterizing
    the sleep-wake cycle results from an underlying non-equilibrium critical dynamics,
    bridging collective behaviors across spatio-temporal scales. We investigate θ
    and δ wave dynamics in control rats and in rats with lesions of sleep-promoting
    neurons in the parafacial zone. We demonstrate that intermittent bursts in θ and
    δ rhythms exhibit a complex temporal organization, with long-range power-law correlations
    and a robust duality of power law (θ-bursts, active phase) and exponential-like
    (δ-bursts, quiescent phase) duration distributions, typical features of non-equilibrium
    systems self-organizing at criticality. Crucially, such temporal organization
    relates to anti-correlated coupling between θ- and δ-bursts, and is independent
    of the dominant physiologic state and lesions, a solid indication of a basic principle
    in sleep dynamics.
article_number: e1007268
article_processing_charge: No
article_type: original
author:
- first_name: Jilin W. J. L.
  full_name: Wang, Jilin W. J. L.
  last_name: Wang
- first_name: Fabrizio
  full_name: Lombardi, Fabrizio
  id: A057D288-3E88-11E9-986D-0CF4E5697425
  last_name: Lombardi
  orcid: 0000-0003-2623-5249
- first_name: Xiyun
  full_name: Zhang, Xiyun
  last_name: Zhang
- first_name: Christelle
  full_name: Anaclet, Christelle
  last_name: Anaclet
- first_name: Plamen Ch.
  full_name: Ivanov, Plamen Ch.
  last_name: Ivanov
citation:
  ama: Wang JWJL, Lombardi F, Zhang X, Anaclet C, Ivanov PC. Non-equilibrium critical
    dynamics of bursts in θ and δ rhythms as fundamental characteristic of sleep and
    wake micro-architecture. <i>PLoS Computational Biology</i>. 2019;15(11). doi:<a
    href="https://doi.org/10.1371/journal.pcbi.1007268">10.1371/journal.pcbi.1007268</a>
  apa: Wang, J. W. J. L., Lombardi, F., Zhang, X., Anaclet, C., &#38; Ivanov, P. C.
    (2019). Non-equilibrium critical dynamics of bursts in θ and δ rhythms as fundamental
    characteristic of sleep and wake micro-architecture. <i>PLoS Computational Biology</i>.
    Public Library of Science. <a href="https://doi.org/10.1371/journal.pcbi.1007268">https://doi.org/10.1371/journal.pcbi.1007268</a>
  chicago: Wang, Jilin W. J. L., Fabrizio Lombardi, Xiyun Zhang, Christelle Anaclet,
    and Plamen Ch. Ivanov. “Non-Equilibrium Critical Dynamics of Bursts in θ and δ
    Rhythms as Fundamental Characteristic of Sleep and Wake Micro-Architecture.” <i>PLoS
    Computational Biology</i>. Public Library of Science, 2019. <a href="https://doi.org/10.1371/journal.pcbi.1007268">https://doi.org/10.1371/journal.pcbi.1007268</a>.
  ieee: J. W. J. L. Wang, F. Lombardi, X. Zhang, C. Anaclet, and P. C. Ivanov, “Non-equilibrium
    critical dynamics of bursts in θ and δ rhythms as fundamental characteristic of
    sleep and wake micro-architecture,” <i>PLoS Computational Biology</i>, vol. 15,
    no. 11. Public Library of Science, 2019.
  ista: Wang JWJL, Lombardi F, Zhang X, Anaclet C, Ivanov PC. 2019. Non-equilibrium
    critical dynamics of bursts in θ and δ rhythms as fundamental characteristic of
    sleep and wake micro-architecture. PLoS Computational Biology. 15(11), e1007268.
  mla: Wang, Jilin W. J. L., et al. “Non-Equilibrium Critical Dynamics of Bursts in
    θ and δ Rhythms as Fundamental Characteristic of Sleep and Wake Micro-Architecture.”
    <i>PLoS Computational Biology</i>, vol. 15, no. 11, e1007268, Public Library of
    Science, 2019, doi:<a href="https://doi.org/10.1371/journal.pcbi.1007268">10.1371/journal.pcbi.1007268</a>.
  short: J.W.J.L. Wang, F. Lombardi, X. Zhang, C. Anaclet, P.C. Ivanov, PLoS Computational
    Biology 15 (2019).
date_created: 2019-11-25T08:20:47Z
date_published: 2019-11-01T00:00:00Z
date_updated: 2023-10-17T12:30:07Z
day: '01'
ddc:
- '570'
- '000'
department:
- _id: GaTk
doi: 10.1371/journal.pcbi.1007268
ec_funded: 1
external_id:
  isi:
  - '000500976100014'
  pmid:
  - '31725712'
file:
- access_level: open_access
  checksum: 2a096a9c6dcc6eaa94077b2603bc6c12
  content_type: application/pdf
  creator: dernst
  date_created: 2019-11-25T08:24:01Z
  date_updated: 2020-07-14T12:47:49Z
  file_id: '7104'
  file_name: 2019_PLOSComBio_Wang.pdf
  file_size: 3982516
  relation: main_file
file_date_updated: 2020-07-14T12:47:49Z
has_accepted_license: '1'
intvolume: '        15'
isi: 1
issue: '11'
language:
- iso: eng
month: '11'
oa: 1
oa_version: Published Version
pmid: 1
project:
- _id: 260C2330-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '754411'
  name: ISTplus - Postdoctoral Fellowships
publication: PLoS Computational Biology
publication_identifier:
  issn:
  - 1553-7358
publication_status: published
publisher: Public Library of Science
quality_controlled: '1'
scopus_import: '1'
status: public
title: Non-equilibrium critical dynamics of bursts in θ and δ rhythms as fundamental
  characteristic of sleep and wake micro-architecture
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: 15
year: '2019'
...