Cardiovascular proteomics in the era of big data: experimental and computational advances

被引：7

作者：

Lam, Maggie P. Y. ^{[1
]}

Lau, Edward ^{[1
]}

Ng, Dominic C. M. ^{[1
]}

Wang, Ding ^{[1
]}

Ping, Peipei ^{[1
,2
,3
]}

机构：

[1] Univ Calif Los Angeles, Dept Physiol, NIH Ctr Excellence BD2K, 675 Charles E Young Dr, Los Angeles, CA 90095 USA

[2] Univ Calif Los Angeles, Dept Med, 675 Charles E Young Dr, Los Angeles, CA 90095 USA

[3] Univ Calif Los Angeles, Dept Bioinformat, 675 Charles E Young Dr, Los Angeles, CA 90095 USA

来源：

CLINICAL PROTEOMICS | 2016年 / 13卷

基金：

美国国家卫生研究院;

关键词：

Cardiovascular medicine; Clinical proteomics; Shotgun proteomics; Mass spectrometry; DATA-INDEPENDENT ACQUISITION; MASS-SPECTROMETRY; LABEL-FREE; SHOTGUN PROTEOMICS; PEPTIDE IDENTIFICATION; MITOCHONDRIAL PROTEOME; SPECTRAL LIBRARIES; LINKED PEPTIDES; CYCLOPHILIN D; TANDEM;

D O I：

10.1186/s12014-016-9124-y

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

Proteomics plays an increasingly important role in our quest to understand cardiovascular biology. Fueled by analytical and computational advances in the past decade, proteomics applications can now go beyond merely inventorying protein species, and address sophisticated questions on cardiac physiology. The advent of massive mass spectrometry datasets has in turn led to increasing intersection between proteomics and big data science. Here we review new frontiers in technological developments and their applications to cardiovascular medicine. The impact of big data science on cardiovascular proteomics investigations and translation to medicine is highlighted.

引用

页数：14

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