HiDeF: identifying persistent structures in multiscale 'omics data.

Community detection Multiscale Persistent homology Protein-protein interaction network Resolution Single-cell clustering Systems biology

Journal

Genome biology
ISSN: 1474-760X
Titre abrégé: Genome Biol
Pays: England
ID NLM: 100960660

Informations de publication

Date de publication:
07 01 2021
Historique:
received: 25 06 2020
accepted: 08 12 2020
entrez: 8 1 2021
pubmed: 9 1 2021
medline: 20 1 2021
Statut: epublish

Résumé

In any 'omics study, the scale of analysis can dramatically affect the outcome. For instance, when clustering single-cell transcriptomes, is the analysis tuned to discover broad or specific cell types? Likewise, protein communities revealed from protein networks can vary widely in sizes depending on the method. Here, we use the concept of persistent homology, drawn from mathematical topology, to identify robust structures in data at all scales simultaneously. Application to mouse single-cell transcriptomes significantly expands the catalog of identified cell types, while analysis of SARS-COV-2 protein interactions suggests hijacking of WNT. The method, HiDeF, is available via Python and Cytoscape.

Identifiants

pubmed: 33413539
doi: 10.1186/s13059-020-02228-4
pii: 10.1186/s13059-020-02228-4
pmc: PMC7789082
doi:

Substances chimiques

Viral Proteins 0

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

21

Subventions

Organisme : NIH HHS
ID : P41 GM103712
Pays : United States
Organisme : NIH HHS
ID : R01 HG009979
Pays : United States
Organisme : NIGMS NIH HHS
ID : P41 GM103504
Pays : United States
Organisme : NIDDK NIH HHS
ID : P01 DK096990
Pays : United States
Organisme : NIGMS NIH HHS
ID : P41 GM103712
Pays : United States
Organisme : NIH HHS
ID : P01 DK096990
Pays : United States
Organisme : NHGRI NIH HHS
ID : R01 HG009979
Pays : United States
Organisme : NCI NIH HHS
ID : U54 CA209891
Pays : United States
Organisme : NIH HHS
ID : U54 CA209891
Pays : United States
Organisme : NCI NIH HHS
ID : U24 CA184427
Pays : United States

Commentaires et corrections

Type : UpdateOf

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Auteurs

Fan Zheng (F)

Division of Genetics, Department of Medicine, University of California San Diego, La Jolla, CA, 92093, USA. f6zheng@health.ucsd.edu.

She Zhang (S)

Department of Computational and Systems Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA, 15213, USA.

Christopher Churas (C)

Division of Genetics, Department of Medicine, University of California San Diego, La Jolla, CA, 92093, USA.

Dexter Pratt (D)

Division of Genetics, Department of Medicine, University of California San Diego, La Jolla, CA, 92093, USA.

Ivet Bahar (I)

Department of Computational and Systems Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA, 15213, USA.

Trey Ideker (T)

Division of Genetics, Department of Medicine, University of California San Diego, La Jolla, CA, 92093, USA. tideker@health.ucsd.edu.

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Classifications MeSH