A proteogenomics data-driven knowledge base of human cancer.

CPTAC cancer data integration knowledge base multi-omics pan-cancer phosphoproteomics proteogenomics proteomics visualization

Journal

Cell systems
ISSN: 2405-4720
Titre abrégé: Cell Syst
Pays: United States
ID NLM: 101656080

Informations de publication

Date de publication:
20 09 2023
Historique:
received: 02 03 2023
revised: 11 05 2023
accepted: 25 07 2023
pmc-release: 20 09 2024
medline: 25 9 2023
pubmed: 25 8 2023
entrez: 24 8 2023
Statut: ppublish

Résumé

By combining mass-spectrometry-based proteomics and phosphoproteomics with genomics, epi-genomics, and transcriptomics, proteogenomics provides comprehensive molecular characterization of cancer. Using this approach, the Clinical Proteomic Tumor Analysis Consortium (CPTAC) has characterized over 1,000 primary tumors spanning 10 cancer types, many with matched normal tissues. Here, we present LinkedOmicsKB, a proteogenomics data-driven knowledge base that makes consistently processed and systematically precomputed CPTAC pan-cancer proteogenomics data available to the public through ∼40,000 gene-, protein-, mutation-, and phenotype-centric web pages. Visualization techniques facilitate efficient exploration and reasoning of complex, interconnected data. Using three case studies, we illustrate the practical utility of LinkedOmicsKB in providing new insights into genes, phosphorylation sites, somatic mutations, and cancer phenotypes. With precomputed results of 19,701 coding genes, 125,969 phosphosites, and 256 genotypes and phenotypes, LinkedOmicsKB provides a comprehensive resource to accelerate proteogenomics data-driven discoveries to improve our understanding and treatment of human cancer. A record of this paper's transparent peer review process is included in the supplemental information.

Identifiants

pubmed: 37619559
pii: S2405-4712(23)00214-4
doi: 10.1016/j.cels.2023.07.007
pmc: PMC10530292
mid: NIHMS1922268
pii:
doi:

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

777-787.e5

Subventions

Organisme : NCI NIH HHS
ID : R01 CA245903
Pays : United States
Organisme : NCI NIH HHS
ID : U01 CA271247
Pays : United States
Organisme : NCI NIH HHS
ID : U24 CA210954
Pays : United States
Organisme : NCI NIH HHS
ID : U24 CA271076
Pays : United States

Informations de copyright

Copyright © 2023 Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of interests B.Z. received consulting fees from AstraZeneca.

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Auteurs

Yuxing Liao (Y)

Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA.

Sara R Savage (SR)

Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA.

Yongchao Dou (Y)

Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA.

Zhiao Shi (Z)

Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA.

Xinpei Yi (X)

Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA.

Wen Jiang (W)

Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA.

Jonathan T Lei (JT)

Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA.

Bing Zhang (B)

Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA. Electronic address: bing.zhang@bcm.edu.

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Classifications MeSH