Evidence map›Paper›PMID 27980500›Full record

ReviewClinical proteomics2016

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

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Clinical proteomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Maggie P Y LamNIH 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.ORCID 0000-0001-9488-8319
Edward LauNIH 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.
Dominic C M NgNIH 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.
Ding WangNIH 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.
Peipei PingNIH 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.

Funding

TRAININGU54GM114833 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LINDSEY, MERRY L., PING, PEIPEI · 2014 to 2017
$13.8M
Regulation of Protein Dynamics in Heart FailureR01HL129723 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI PING, PEIPEI · 2015 to 2016
$1.0M
ER Stress and Protein Dynamics in Cardiac RemodelingK99HL127302 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LAM, MAGGIE · 2016 to 2017
$238k
NHLBI NIH HHS K99 HL127302NHLBI NIH HHS R01 HL129723NIGMS NIH HHS U54 GM114833
6 · The paper itself

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.

Indexed as

Cardiovascular medicineClinical proteomicsMass spectrometryShotgun proteomics

Identifiers

PMID27980500
PMCPMC5137214

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.