Combining molecular dynamics simulations and scoring method to computationally model ubiquitylated linker histones in chromatosomes

dc.contributor.authorSawade, Kevin
dc.contributor.authorMarx, Andreas
dc.contributor.authorPeter, Christine
dc.contributor.authorKukharenko, Oleksandra
dc.date.accessioned2024-06-17T14:57:38Z
dc.date.available2024-06-17T14:57:38Z
dc.date.issued2023-08-01
dc.description.abstractThe chromatin in eukaryotic cells plays a fundamental role in all processes during a cell’s life cycle. This nucleoprotein is normally tightly packed but needs to be unpacked for expression and division. The linker histones are critical for such packaging processes and while most experimental and simulation works recognize their crucial importance, the focus is nearly always set on the nucleosome as the basic chromatin building block. Linker histones can undergo several modifications, but only few studies on their ubiquitylation have been conducted. Mono-ubiquitylated linker histones (HUb), while poorly understood, are expected to influence DNA compaction. The size of ubiquitin and the globular domain of the linker histone are comparable and one would expect an increased disorder upon ubiquitylation of the linker histone. However, the formation of higher order chromatin is not hindered and ubiquitylation of the linker histone may even promote gene expression. Structural data on chromatosomes is rare and HUb has never been modeled in a chromatosome so far. Descriptions of the chromatin complex with HUb would greatly benefit from computational structural data. In this study we generate molecular dynamics simulation data for six differently linked HUb variants with the help of a sampling scheme tailored to drive the exploration of phase space. We identify conformational sub-states of the six HUb variants using the sketch-map algorithm for dimensionality reduction and iterative HDBSCAN for clustering on the excessively sampled, shallow free energy landscapes. We present a highly efficient geometric scoring method to identify sub-states of HUb that fit into the nucleosome. We predict HUb conformations inside a nucleosome using on-dyad and off-dyad chromatosome structures as reference and show that unbiased simulations of HUb produce significantly more fitting than non-fitting HUb conformations. A tetranucleosome array is used to show that ubiquitylation can even occur in chromatin without too much steric clashes.
dc.description.versionpublisheddeu
dc.identifier.doi10.1371/journal.pcbi.1010531
dc.identifier.ppn1905618352
dc.identifier.urihttps://kops.uni-konstanz.de/handle/123456789/70140
dc.language.isoeng
dc.relation.uriSuppData The code for the analysis, simulation trajectories and a part of the data generation:
https://github.com/AG-Peter/H1Ub_in_chromatosomes/
dc.relation.uriSuppData Simulation input files and generated data:
https://dx.doi.org/10.48606/99
dc.rightsAttribution 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subject.ddc540
dc.titleCombining molecular dynamics simulations and scoring method to computationally model ubiquitylated linker histones in chromatosomeseng
dc.typeJOURNAL_ARTICLE
dspace.entity.typePublication
kops.citation.bibtex
@article{Sawade2023-08-01Combi-70140,
  title={Combining molecular dynamics simulations and scoring method to computationally model ubiquitylated linker histones in chromatosomes},
  year={2023},
  doi={10.1371/journal.pcbi.1010531},
  number={8},
  volume={19},
  journal={PLOS Computational Biology},
  author={Sawade, Kevin and Marx, Andreas and Peter, Christine and Kukharenko, Oleksandra},
  note={Article Number: e1010531}
}
kops.citation.iso690SAWADE, Kevin, Andreas MARX, Christine PETER, Oleksandra KUKHARENKO, 2023. Combining molecular dynamics simulations and scoring method to computationally model ubiquitylated linker histones in chromatosomes. In: PLOS Computational Biology. Public Library of Science (PLoS). 2023, 19(8), e1010531. eISSN 1553-7358. Verfügbar unter: doi: 10.1371/journal.pcbi.1010531deu
kops.citation.iso690SAWADE, Kevin, Andreas MARX, Christine PETER, Oleksandra KUKHARENKO, 2023. Combining molecular dynamics simulations and scoring method to computationally model ubiquitylated linker histones in chromatosomes. In: PLOS Computational Biology. Public Library of Science (PLoS). 2023, 19(8), e1010531. eISSN 1553-7358. Available under: doi: 10.1371/journal.pcbi.1010531eng
kops.citation.rdf
<rdf:RDF
    xmlns:dcterms="http://purl.org/dc/terms/"
    xmlns:dc="http://purl.org/dc/elements/1.1/"
    xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
    xmlns:bibo="http://purl.org/ontology/bibo/"
    xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#"
    xmlns:foaf="http://xmlns.com/foaf/0.1/"
    xmlns:void="http://rdfs.org/ns/void#"
    xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > 
  <rdf:Description rdf:about="https://kops.uni-konstanz.de/server/rdf/resource/123456789/70140">
    <dc:creator>Kukharenko, Oleksandra</dc:creator>
    <dc:language>eng</dc:language>
    <dcterms:title>Combining molecular dynamics simulations and scoring method to computationally model ubiquitylated linker histones in chromatosomes</dcterms:title>
    <dcterms:issued>2023-08-01</dcterms:issued>
    <dcterms:abstract>The chromatin in eukaryotic cells plays a fundamental role in all processes during a cell’s life cycle. This nucleoprotein is normally tightly packed but needs to be unpacked for expression and division. The linker histones are critical for such packaging processes and while most experimental and simulation works recognize their crucial importance, the focus is nearly always set on the nucleosome as the basic chromatin building block. Linker histones can undergo several modifications, but only few studies on their ubiquitylation have been conducted. Mono-ubiquitylated linker histones (HUb), while poorly understood, are expected to influence DNA compaction. The size of ubiquitin and the globular domain of the linker histone are comparable and one would expect an increased disorder upon ubiquitylation of the linker histone. However, the formation of higher order chromatin is not hindered and ubiquitylation of the linker histone may even promote gene expression. Structural data on chromatosomes is rare and HUb has never been modeled in a chromatosome so far. Descriptions of the chromatin complex with HUb would greatly benefit from computational structural data. In this study we generate molecular dynamics simulation data for six differently linked HUb variants with the help of a sampling scheme tailored to drive the exploration of phase space. We identify conformational sub-states of the six HUb variants using the sketch-map algorithm for dimensionality reduction and iterative HDBSCAN for clustering on the excessively sampled, shallow free energy landscapes. We present a highly efficient geometric scoring method to identify sub-states of HUb that fit into the nucleosome. We predict HUb conformations inside a nucleosome using on-dyad and off-dyad chromatosome structures as reference and show that unbiased simulations of HUb produce significantly more fitting than non-fitting HUb conformations. A tetranucleosome array is used to show that ubiquitylation can even occur in chromatin without too much steric clashes.</dcterms:abstract>
    <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/70140"/>
    <foaf:homepage rdf:resource="http://localhost:8080/"/>
    <dc:contributor>Marx, Andreas</dc:contributor>
    <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
    <dc:creator>Marx, Andreas</dc:creator>
    <dc:rights>Attribution 4.0 International</dc:rights>
    <dc:contributor>Kukharenko, Oleksandra</dc:contributor>
    <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2024-06-17T14:57:38Z</dc:date>
    <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/70140/1/Sawade_2-bsx9ev9k3iiy9.pdf"/>
    <dc:creator>Sawade, Kevin</dc:creator>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/29"/>
    <dc:contributor>Peter, Christine</dc:contributor>
    <dcterms:rights rdf:resource="http://creativecommons.org/licenses/by/4.0/"/>
    <dc:contributor>Sawade, Kevin</dc:contributor>
    <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/70140/1/Sawade_2-bsx9ev9k3iiy9.pdf"/>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/29"/>
    <dc:creator>Peter, Christine</dc:creator>
    <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2024-06-17T14:57:38Z</dcterms:available>
  </rdf:Description>
</rdf:RDF>
kops.description.funding{"second":"CRC 969","first":"dfg"}
kops.description.openAccessopenaccessgold
kops.flag.isPeerReviewedtrue
kops.flag.knbibliographytrue
kops.identifier.nbnurn:nbn:de:bsz:352-2-bsx9ev9k3iiy9
kops.sourcefieldPLOS Computational Biology. Public Library of Science (PLoS). 2023, <b>19</b>(8), e1010531. eISSN 1553-7358. Verfügbar unter: doi: 10.1371/journal.pcbi.1010531deu
kops.sourcefield.plainPLOS Computational Biology. Public Library of Science (PLoS). 2023, 19(8), e1010531. eISSN 1553-7358. Verfügbar unter: doi: 10.1371/journal.pcbi.1010531deu
kops.sourcefield.plainPLOS Computational Biology. Public Library of Science (PLoS). 2023, 19(8), e1010531. eISSN 1553-7358. Available under: doi: 10.1371/journal.pcbi.1010531eng
relation.isAuthorOfPublicationf5c18954-8008-4e47-9326-bbbf6453578b
relation.isAuthorOfPublication3488d192-4e21-4a69-8956-f7d02d9f9b3a
relation.isAuthorOfPublication22542557-ee65-4c9c-9c0e-1050355e73ce
relation.isAuthorOfPublication6bf864fa-a115-4fa7-a27e-1b5825d3fe07
relation.isAuthorOfPublication.latestForDiscoveryf5c18954-8008-4e47-9326-bbbf6453578b
relation.isDatasetOfPublication6ec4785a-5c93-40b0-ba66-17478b88e829
relation.isDatasetOfPublication.latestForDiscovery6ec4785a-5c93-40b0-ba66-17478b88e829
source.bibliographicInfo.articleNumbere1010531
source.bibliographicInfo.issue8
source.bibliographicInfo.volume19
source.identifier.eissn1553-7358
source.periodicalTitlePLOS Computational Biology
source.publisherPublic Library of Science (PLoS)

Dateien

Originalbündel

Gerade angezeigt 1 - 1 von 1
Vorschaubild nicht verfügbar
Name:
Sawade_2-bsx9ev9k3iiy9.pdf
Größe:
3.92 MB
Format:
Adobe Portable Document Format
Sawade_2-bsx9ev9k3iiy9.pdf
Sawade_2-bsx9ev9k3iiy9.pdfGröße: 3.92 MBDownloads: 84