Evidence map›Paper›PMID 32176508›Full record

ArticleJournal of proteome research2020

A Dual Workflow to Improve the Proteomic Coverage in Plasma Using Data-Independent Acquisition-MS.

Shenyan Zhang, Koen Raedschelders, Vidya Venkatraman, Lilith Huang, Ronald Holewinski, Qin Fu, Jennifer E Van Eyk

Abstract read
In one paragraph

Article in Journal of proteome research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Proteomics ofInternational journal of molecular sciences · 2021
    Review
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

7 authors.

Shenyan ZhangAdvanced Clinical Biosystems Research Institute, Barbra Streisand Women's Heart Center at the Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California 90048, United States.ORCID 0000-0002-6637-7244
Koen RaedscheldersAdvanced Clinical Biosystems Research Institute, Barbra Streisand Women's Heart Center at the Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California 90048, United States.ORCID 0000-0003-0835-4762
Vidya VenkatramanAdvanced Clinical Biosystems Research Institute, Barbra Streisand Women's Heart Center at the Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California 90048, United States.
Lilith HuangAdvanced Clinical Biosystems Research Institute, Barbra Streisand Women's Heart Center at the Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California 90048, United States.
Ronald HolewinskiAdvanced Clinical Biosystems Research Institute, Barbra Streisand Women's Heart Center at the Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California 90048, United States.
Qin FuAdvanced Clinical Biosystems Research Institute, Barbra Streisand Women's Heart Center at the Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California 90048, United States.ORCID 0000-0001-9056-8449
Jennifer E Van EykAdvanced Clinical Biosystems Research Institute, Barbra Streisand Women's Heart Center at the Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California 90048, United States.ORCID 0000-0001-9050-148X

Funding

Pathobiology of Cardiac Dyssynchrony &ResynchronizationP01HL077180 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI KASS, DAVID ALAN · 2004 to 2014
$22.8M
Genomic and Proteomic Architecture of AtherosclerosisR01HL111362 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI HERRINGTON, DAVID MCLEOD · 2012 to 2021
$17.2M
Exosome Therapeutics to Dissect HFpEF MechanismsR01HL155346 · NHLBI · CEDARS-SINAI MEDICAL CENTER · PI MARBAN, EDUARDO, VAN EYK, JENNIFER E · 2021 to 2024
$3.3M
Regulation of the Dynamic Proteome after Ischemic InjuryR01HL144509 · NHLBI · CEDARS-SINAI MEDICAL CENTER · PI GOTTLIEB, ROBERTA A., VAN EYK, JENNIFER E · 2019 to 2022
$2.9M
NHLBI NIH HHS P01 HL077180NHLBI NIH HHS R01 HL111362NHLBI NIH HHS R01 HL144509NHLBI NIH HHS R01 HL155346
6 · The paper itself

Abstract

Plasma is one of the most important and common matrices for clinical chemistry and proteomic analyses. Data-independent acquisition (DIA) mass spectrometry has enabled the simultaneous quantitative analysis of hundreds of proteins in plasma samples in support population and disease studies. Depletion of the highest abundant proteins is a common tool to increase plasma proteome coverage, but this strategy can result in the nonspecific depletion of protein subsets with which proteins targeted for depletion interact, adversely affecting their analysis. Our work using an antibody-based depletion column revealed significant complementarity not only in the identification of the proteins derived from depleted and undepleted plasma, but importantly also in the extent to which different proteins can be reproducibly quantified in each fraction. We systematically defined four major quantitative parameters of increasing stringency in both the depleted plasma fraction and in undepleted plasma for 757 observed plasma proteins: Linearity cutoff

Indexed as

Blood ProteinsProteomicsMass SpectrometryProteomeWorkflowBlood ProteinsProteomedata independent acquisitiondepletiondynamic rangemass spectrometryplasmaPlasmaPilotquantification

Identifiers

PMID32176508
PMCPMC10360210

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.