Evidence map›Paper›PMID 25987414›Full record

ArticleMolecular & cellular proteomics : MCP2015

MS1 Peptide Ion Intensity Chromatograms in MS2 (SWATH) Data Independent Acquisitions. Improving Post Acquisition Analysis of Proteomic Experiments.

Matthew J Rardin, Birgit Schilling, Lin-Yang Cheng, Brendan X MacLean, Dylan J Sorensen, Alexandria K Sahu, Michael J MacCoss, Olga Vitek, Bradford W Gibson

Open access · hybridAbstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
5.6field-weighted citation impact, top 3% of its field
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

33 citing papers in PubMed, 68 citations in OpenAlex.

  1. Article
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  13. A Review on Quantitative Multiplexed Proteomics.Chembiochem : a European journal of chemical biology · 2019
    Review
  14. Article
  15. Article
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  19. Review
  20. Rapid Assessment of Contaminants and Interferences in Mass Spectrometry Data Using Skyline.Journal of the American Society for Mass Spectrometry · 2018
    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

9 authors at 4 institutions in 1 country.

Matthew J RardinFrom the ‡Buck Institute for Research on Aging, 8001 Redwood Blvd, Novato, California 94945;
Birgit SchillingFrom the ‡Buck Institute for Research on Aging, 8001 Redwood Blvd, Novato, California 94945;
Lin-Yang Cheng§Department of Statistics, Purdue University, West Lafayette, IN 47907;
Brendan X MacLean‖Department of Genome Sciences, University of Washington School of Medicine, Seattle, Washington;
Dylan J SorensenFrom the ‡Buck Institute for Research on Aging, 8001 Redwood Blvd, Novato, California 94945;
Alexandria K SahuFrom the ‡Buck Institute for Research on Aging, 8001 Redwood Blvd, Novato, California 94945;
Michael J MacCoss‖Department of Genome Sciences, University of Washington School of Medicine, Seattle, Washington;
Olga Vitek¶College of Science, College of Computer and Information Science, Northeastern University, Boston, Massachusetts 02115;
Bradford W GibsonFrom the ‡Buck Institute for Research on Aging, 8001 Redwood Blvd, Novato, California 94945; **Department of Pharmaceutical Chemistry, University of California, San Francisco, California 94143 bgibson@buckinstitute.org.
Buck Institute for Research on Aging · USUniversity of Washington · USNortheastern University · USPurdue University West Lafayette · US

Funding

Quality Assurance and Quality Control Project Management: Improving Submissions and Study Conduct in the Human Subjects Research Prior Approval ProcessUL1TR002529 · NCATS · INDIANA UNIVERSITY INDIANAPOLIS · PI MOE, SHARON M, WIEHE, SARAH ELIZABETH · 2018 to 2022
$27.2M
ZDS2P REGULATES SWE1P-DEPENDENT POLARIZED CELL GROWTH IN S CEREVISIAEP41RR011823 · NCRR · UNIVERSITY OF WASHINGTON · PI DAVIS, TRACY · 1996 to 2011
$24.7M
Indiana Clinical and Translational Sciences InstituteUL1TR001108 · NCATS · INDIANA UNIVERSITY INDIANAPOLIS · PI DENNE, SCOTT C., SHEKHAR, ANANTHA · 2013 to 2017
$23.3M
TrainingP41GM103533 · NIGMS · UNIVERSITY OF WASHINGTON · PI MACCOSS, MICHAEL · 2012 to 2021
$20.7M
REVERSIBLE MITOCHONDRIAL PROTEIN ACETYLATION AND METABOLIC REGULATIONR24DK085610 · NIDDK · J. DAVID GLADSTONE INSTITUTES · PI VERDIN, ERIC M. · 2010 to 2019
$16.0M
Training in Basic Research on Aging and Age-Related DiseaseT32AG000266 · NIA · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI Lisa M Ellerby · 1998 to 2026
$13.8M
Mass spectrometry and imaging technologies in GerosciencePL1AG032118 · NIA · BUCK INSTITUTE FOR RESEARCH ON AGING · PI GIBSON, BRADFORD WAYNE · 2007 to 2011
$4.5M
Systematic and Comprehensive Sampling of Peptides in Mixtures by Tandem Mass SpectrometryR21CA192983 · NCI · UNIVERSITY OF WASHINGTON · PI MACCOSS, MICHAEL · 2015 to 2017
$648k
TripleTOF 5600 High Resolution Mass SpectrometerS10OD016281 · OD · BUCK INSTITUTE FOR RESEARCH ON AGING · PI GIBSON, BRADFORD WAYNE · 2013 to 2013
$597k
Skyline Targeted Proteomics EnvironmentR01RR032708 · NCRR · UNIVERSITY OF WASHINGTON · PI MACCOSS, MICHAEL · 2011 to 2011
$380k
NCATS NIH HHS UL1 TR001108NCI NIH HHS R21 CA192983NCRR NIH HHS P41 RR011823NCRR NIH HHS R01 RR032708NIA NIH HHS PL1 AG032118NIA NIH HHS T32 AG000266NIA NIH HHS T32AG000266NIDDK NIH HHS R24 DK085610NIGMS NIH HHS P41 GM103533NIH HHS 1 S10 OD016281-01NIH HHS S10 OD016281
6 · The paper itself

Abstract

Quantitative analysis of discovery-based proteomic workflows now relies on high-throughput large-scale methods for identification and quantitation of proteins and post-translational modifications. Advancements in label-free quantitative techniques, using either data-dependent or data-independent mass spectrometric acquisitions, have coincided with improved instrumentation featuring greater precision, increased mass accuracy, and faster scan speeds. We recently reported on a new quantitative method called MS1 Filtering (Schilling et al. (2012) Mol. Cell. Proteomics 11, 202-214) for processing data-independent MS1 ion intensity chromatograms from peptide analytes using the Skyline software platform. In contrast, data-independent acquisitions from MS2 scans, or SWATH, can quantify all fragment ion intensities when reference spectra are available. As each SWATH acquisition cycle typically contains an MS1 scan, these two independent label-free quantitative approaches can be acquired in a single experiment. Here, we have expanded the capability of Skyline to extract both MS1 and MS2 ion intensity chromatograms from a single SWATH data-independent acquisition in an Integrated Dual Scan Analysis approach. The performance of both MS1 and MS2 data was examined in simple and complex samples using standard concentration curves. Cases of interferences in MS1 and MS2 ion intensity data were assessed, as were the differentiation and quantitation of phosphopeptide isomers in MS2 scan data. In addition, we demonstrated an approach for optimization of SWATH m/z window sizes to reduce interferences using MS1 scans as a guide. Finally, a correlation analysis was performed on both MS1 and MS2 ion intensity data obtained from SWATH acquisitions on a complex mixture using a linear model that automatically removes signals containing interferences. This work demonstrates the practical advantages of properly acquiring and processing MS1 precursor data in addition to MS2 fragment ion intensity data in a data-independent acquisition (SWATH), and provides an approach to simultaneously obtain independent measurements of relative peptide abundance from a single experiment.

Indexed as

AnimalsHigh-Throughput Screening AssaysLiverMicePeptidesProtein Kinase InhibitorsProteomicsReproducibility of ResultsSoftwarePeptidesProtein Kinase Inhibitors

Identifiers

PMID25987414
PMCPMC4563724
OpenAlexW2218060956

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.