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

Maggie P Y Lam; Edward Lau; Dominic C M Ng; Ding Wang; Peipei Ping

doi:10.1186/s12014-016-9124-y

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

Clin Proteomics. 2016 Dec 5:13:23. doi: 10.1186/s12014-016-9124-y. eCollection 2016.

Authors

Maggie P Y Lam¹, Edward Lau¹, Dominic C M Ng¹, Ding Wang¹, Peipei Ping²

Affiliations

¹ NIH BD2K Center of Excellence at UCLA; Department of Physiology, University of California at Los Angeles, 675 Charles E. Young Drive, Los Angeles, CA 90095 USA.
² NIH BD2K Center of Excellence at UCLA; Department of Physiology, University of California at Los Angeles, 675 Charles E. Young Drive, Los Angeles, CA 90095 USA ; Department of Medicine, University of California at Los Angeles, 675 Charles E. Young Drive, Los Angeles, CA 90095 USA ; Department of Bioinformatics, University of California at Los Angeles, 675 Charles E. Young Drive, Los Angeles, CA 90095 USA.

Abstract

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.

Keywords: Cardiovascular medicine; Clinical proteomics; Mass spectrometry; Shotgun proteomics.

Publication types

Review

Abstract

Publication types

Grants and funding