GRAND: a database of gene regulatory network models across human conditions.


Journal

Nucleic acids research
ISSN: 1362-4962
Titre abrégé: Nucleic Acids Res
Pays: England
ID NLM: 0411011

Informations de publication

Date de publication:
07 01 2022
Historique:
accepted: 08 09 2021
revised: 17 08 2021
received: 01 06 2021
pubmed: 12 9 2021
medline: 24 2 2022
entrez: 11 9 2021
Statut: ppublish

Résumé

Gene regulation plays a fundamental role in shaping tissue identity, function, and response to perturbation. Regulatory processes are controlled by complex networks of interacting elements, including transcription factors, miRNAs and their target genes. The structure of these networks helps to determine phenotypes and can ultimately influence the development of disease or response to therapy. We developed GRAND (https://grand.networkmedicine.org) as a database for computationally-inferred, context-specific gene regulatory network models that can be compared between biological states, or used to predict which drugs produce changes in regulatory network structure. The database includes 12 468 genome-scale networks covering 36 human tissues, 28 cancers, 1378 unperturbed cell lines, as well as 173 013 TF and gene targeting scores for 2858 small molecule-induced cell line perturbation paired with phenotypic information. GRAND allows the networks to be queried using phenotypic information and visualized using a variety of interactive tools. In addition, it includes a web application that matches disease states to potentially therapeutic small molecule drugs using regulatory network properties.

Identifiants

pubmed: 34508353
pii: 6368528
doi: 10.1093/nar/gkab778
pmc: PMC8728257
doi:

Substances chimiques

MicroRNAs 0
Transcription Factors 0

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

D610-D621

Subventions

Organisme : NLM NIH HHS
ID : R01 LM008795
Pays : United States
Organisme : NCI NIH HHS
ID : P50 CA062924
Pays : United States
Organisme : NCI NIH HHS
ID : U24 CA231846
Pays : United States
Organisme : NHLBI NIH HHS
ID : K25 HL140186
Pays : United States
Organisme : NCI NIH HHS
ID : R35 CA220523
Pays : United States
Organisme : NCI NIH HHS
ID : P50 CA127003
Pays : United States
Organisme : NHLBI NIH HHS
ID : P01 HL132825
Pays : United States
Organisme : NHLBI NIH HHS
ID : K25 HL133599
Pays : United States
Organisme : NIH HHS
ID : R35 CA220523
Pays : United States
Organisme : NHGRI NIH HHS
ID : R01 HG011393
Pays : United States
Organisme : NCI NIH HHS
ID : T32 CA236764
Pays : United States

Informations de copyright

© The Author(s) 2021. Published by Oxford University Press on behalf of Nucleic Acids Research.

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Auteurs

Marouen Ben Guebila (M)

Department of Biostatistics, Harvard School of Public Health, Boston, MA, USA.

Camila M Lopes-Ramos (CM)

Department of Biostatistics, Harvard School of Public Health, Boston, MA, USA.

Deborah Weighill (D)

Department of Biostatistics, Harvard School of Public Health, Boston, MA, USA.

Abhijeet Rajendra Sonawane (AR)

Center for Interdisciplinary Cardiovascular Sciences, Cardiovascular Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA02115, USA.

Rebekka Burkholz (R)

Department of Biostatistics, Harvard School of Public Health, Boston, MA, USA.

Behrouz Shamsaei (B)

Division of Biostatistics and Bioinformatics, Department of Environmental and Public Health Sciences, University of Cincinnati College of Medicine, Cincinnati, OH, USA.

John Platig (J)

Channing Division of Network Medicine, Department of Medicine, Harvard Medical School and Brigham and Women's Hospital, Boston, MA, USA.

Kimberly Glass (K)

Department of Biostatistics, Harvard School of Public Health, Boston, MA, USA.
Channing Division of Network Medicine, Department of Medicine, Harvard Medical School and Brigham and Women's Hospital, Boston, MA, USA.

Marieke L Kuijjer (ML)

Center for Molecular Medicine Norway, Faculty of Medicine, University of Oslo, Oslo, Norway.
Leiden University Medical Center, Leiden, The Netherlands.

John Quackenbush (J)

Department of Biostatistics, Harvard School of Public Health, Boston, MA, USA.
Channing Division of Network Medicine, Department of Medicine, Harvard Medical School and Brigham and Women's Hospital, Boston, MA, USA.

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