Evidence map›Paper›PMID 30525668›Full record

ArticleJournal of proteome research2019

Rapidly Assessing the Quality of Targeted Proteomics Experiments through Monitoring Stable-Isotope Labeled Standards.

Bryson C Gibbons, Thomas L Fillmore, Yuqian Gao, Ronald J Moore, Tao Liu, Ernesto S Nakayasu, Thomas O Metz, Samuel H Payne

Abstract read
In one paragraph

Article in Journal of proteome research, 2019. 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. Article
  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

8 authors.

Bryson C GibbonsBiological Sciences Division , Pacific Northwest National Laboratory , Richland Washington 99336 , United States.ORCID 0000-0003-3117-4903
Thomas L FillmoreBiological Sciences Division , Pacific Northwest National Laboratory , Richland Washington 99336 , United States.
Yuqian GaoBiological Sciences Division , Pacific Northwest National Laboratory , Richland Washington 99336 , United States.ORCID 0000-0003-1646-4515
Ronald J MooreBiological Sciences Division , Pacific Northwest National Laboratory , Richland Washington 99336 , United States.ORCID 0000-0003-2806-2855
Tao LiuBiological Sciences Division , Pacific Northwest National Laboratory , Richland Washington 99336 , United States.ORCID 0000-0001-9529-6550
Ernesto S NakayasuBiological Sciences Division , Pacific Northwest National Laboratory , Richland Washington 99336 , United States.ORCID 0000-0002-4056-2695
Thomas O MetzBiological Sciences Division , Pacific Northwest National Laboratory , Richland Washington 99336 , United States.ORCID 0000-0001-6049-3968
Samuel H PayneBiological Sciences Division , Pacific Northwest National Laboratory , Richland Washington 99336 , United States.ORCID 0000-0002-8351-1994

Funding

Equipment Supplement Request for a Research Resource for Ultra-sensitive High Throughput ProteomicsP41GM103493 · NIGMS · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI SMITH, RICHARD D · 2012 to 2022
$22.6M
ProMoTr: A Proteomics Center for MoTrPACU24DK112349 · NIDDK · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI Joshua N. Adkins · 2017 to 2026
$17.5M
PNNL Proteome Characterization CenterU24CA210955 · NCI · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI LIU, TAO, SMITH, RICHARD D · 2016 to 2020
$5.3M
Proteogenomic Data Analysis for Cancer Systems Biology and Clinical TranslationU24CA210972 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI DING, LI, FENYO, DAVID · 2016 to 2020
$3.3M
NCI NIH HHS U24 CA210955NCI NIH HHS U24 CA210972NIDDK NIH HHS U24 DK112349NIGMS NIH HHS P41 GM103493
6 · The paper itself

Abstract

Targeted proteomics experiments based on selected reaction monitoring (SRM) have gained wide adoption in the use of clinical biomarkers, cellular modeling, and numerous other biological experiments due to their highly accurate and reproducible quantification. The quantitative accuracy in targeted proteomics experiments is reliant on the stable-isotope, heavy-labeled peptide standards that are spiked into a sample and used as a reference when calculating the abundance of endogenous peptides. Therefore, the quality of measurement for these standards is a critical factor in determining whether data acquisition was successful. With improved mass spectrometry (MS) instrumentation that enables the monitoring of hundreds of peptides in hundreds to thousands of samples, quality assessment is increasingly important and cannot be performed manually. We present Q4SRM, a software tool that rapidly checks the signal from all heavy-labeled peptides and flags those that fail quality-control metrics. Using four metrics, the tool detects problems with both individual SRM transitions and the collective group of transitions that monitor a single peptide. The program's speed and simplicity enable its use at the point of data acquisition and can be ideally run immediately upon the completion of a liquid chromatography-SRM-MS analysis.

Indexed as

Quality ControlSoftwareChromatography, LiquidHumansIsotope LabelingMass SpectrometryPeptidesProteomicsPeptidesMRMquality assurancequality controlsoftwareSRMtargeted proteomics

Identifiers

PMID30525668
PMCPMC6537873

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.