Onco-proteogenomics: cancer proteomics joins forces with genomics

被引：5
|
作者：
Alfaro, Javier A. [1 ,2 ,3 ]
Sinha, Ankit [1 ,2 ]
Kislinger, Thomas [1 ,2 ]
Boutros, Paul C. [1 ,3 ,4 ]
机构：
[1] Univ Toronto, Dept Med Biophys, Toronto, ON, Canada
[2] Univ Hlth Network, Princess Margaret Canc Ctr, Toronto, ON, Canada
[3] Ontario Inst Canc Res, Informat & Biocomp Program, Toronto, ON, Canada
[4] Univ Toronto, Dept Pharmacol & Toxicol, Toronto, ON, Canada
来源：
NATURE METHODS | 2014年 / 11卷 / 11期
基金：
加拿大自然科学与工程研究理事会;
关键词：
MASS-SPECTROMETRY; MESSENGER-RNA; PROTEIN EXPRESSION; GENETIC-VARIANTS; LUNG-CANCER; IDENTIFICATION; DISCOVERY; ABUNDANCE; PEPTIDES; DATABASE;
D O I：
10.1038/NMETH.3138
中图分类号：
Q5 [生物化学];
学科分类号：
071010 ; 081704 ;
摘要：
The complexities of tumor genomes are rapidly being uncovered, but how they are regulated into functional proteomes remains poorly understood. Standard proteomics workflows use databases of known proteins, but these databases do not capture the uniqueness of the cancer transcriptome, with its point mutations, unusual splice variants and gene fusions. Onco-proteogenomics integrates mass spectrometry-generated data with genomic information to identify tumor-specific peptides. Linking tumor-derived DNA, RNA and protein measurements into a central-dogma perspective has the potential to improve our understanding of cancer biology.
引用
收藏
页码：1107 / 1113
页数：7
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