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

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 physiol...

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Autores principales: Lam, Maggie P. Y., Lau, Edward, Ng, Dominic C. M., Wang, Ding, Ping, Peipei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5137214/
https://www.ncbi.nlm.nih.gov/pubmed/27980500
http://dx.doi.org/10.1186/s12014-016-9124-y
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author Lam, Maggie P. Y.
Lau, Edward
Ng, Dominic C. M.
Wang, Ding
Ping, Peipei
author_facet Lam, Maggie P. Y.
Lau, Edward
Ng, Dominic C. M.
Wang, Ding
Ping, Peipei
author_sort Lam, Maggie P. Y.
collection PubMed
description 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.
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spelling pubmed-51372142016-12-15 Cardiovascular proteomics in the era of big data: experimental and computational advances Lam, Maggie P. Y. Lau, Edward Ng, Dominic C. M. Wang, Ding Ping, Peipei Clin Proteomics Review 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. BioMed Central 2016-12-05 /pmc/articles/PMC5137214/ /pubmed/27980500 http://dx.doi.org/10.1186/s12014-016-9124-y Text en © The Author(s) 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Review
Lam, Maggie P. Y.
Lau, Edward
Ng, Dominic C. M.
Wang, Ding
Ping, Peipei
Cardiovascular proteomics in the era of big data: experimental and computational advances
title Cardiovascular proteomics in the era of big data: experimental and computational advances
title_full Cardiovascular proteomics in the era of big data: experimental and computational advances
title_fullStr Cardiovascular proteomics in the era of big data: experimental and computational advances
title_full_unstemmed Cardiovascular proteomics in the era of big data: experimental and computational advances
title_short Cardiovascular proteomics in the era of big data: experimental and computational advances
title_sort cardiovascular proteomics in the era of big data: experimental and computational advances
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5137214/
https://www.ncbi.nlm.nih.gov/pubmed/27980500
http://dx.doi.org/10.1186/s12014-016-9124-y
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