Proteogenomics for understanding oncology: recent advances and future prospects

被引：15

作者：

Subbannayya, Yashwanth ^{[1
,2
]}

Pinto, Sneha M. ^{[1
,2
]}

Gowda, Harsha ^{[1
,2
]}

Prasad, T. S. Keshava ^{[1
,2
,3
]}

机构：

[1] Yenepoya Univ, YU IOB Ctr Syst Biol & Mol Med, Mangalore, India

[2] Inst Bioinformat, Bangalore 560066, Karnataka, India

[3] Natl Inst Mental Hlth & Neurosci, Neurobiol Res Ctr, NIMHANS IOB Prote & Bioinformat Lab, Bangalore, Karnataka, India

来源：

EXPERT REVIEW OF PROTEOMICS | 2016年 / 13卷 / 03期

关键词：

Oncoproteogenomics; Carcinogenesis; Proteomics; NextGen sequencing; Systems biology; CYTOMETRIC IMMUNOBEAD ASSAY; MASS-SPECTROMETRY; PROSTATE-CANCER; HIGH-RESOLUTION; PEPTIDE IDENTIFICATION; FUSION TRANSCRIPTS; SEQUENCE DATABASES; MUTANT PROTEINS; GENE FUSIONS; LUNG-CANCER;

D O I：

10.1586/14789450.2016.1136217

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

The concept of proteogenomics has emerged rapidly as a valuable approach to integrate mass spectrometry-derived proteomic data with genomic and transcriptomic data. It is used to harness the full potential of the former dataset in the discovery of potential biomarkers, therapeutic targets and novel proteins associated with various biological processes including diseases. Proteogenomic strategies have been successfully utilized to identify novel genes and redefine annotation of existing gene models in various genomes. In recent years, this approach has been extended to the field of cancer biology to unravel complexities in the tumor genomes and proteomes. Standard proteomics workflows employing translated cancer genomes and transcriptomes can potentially identify peptides from mutant proteins, splice variants and fusion proteins in the tumor proteome, which in addition to the currently available biomarker panels can serve as potential diagnostic and prognostic biomarkers, besides having therapeutic utility. This review focuses on the role of proteogenomics to understand cancer biology.

引用

页码：297 / 308

页数：12

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