Evidence map›Paper›PMID 25996789›Full record

ArticleNature protocols2015

Multiplexed peptide analysis using data-independent acquisition and Skyline.

Jarrett D Egertson, Brendan MacLean, Richard Johnson, Yue Xuan, Michael J MacCoss

Abstract read
In one paragraph

Article in Nature protocols, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 98 papers.

0numbers the graph read from it
0cells of the map it votes in
98citing papers in PubMed
11.7field-weighted citation impact, top 1% 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

98 citing papers in PubMed, 221 citations in OpenAlex.

  1. Article
  2. Preprocessing Large-Scale Proteomics Data.Methods in molecular biology (Clifton, N.J.) · 2027
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  11. Proteomics in pancreatic cancer.Biomarker research · 2025
    Review
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  13. iScience · 2025
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  15. Observational
  16. Article
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  18. Unusually Rapid Isomerization of Aspartic Acid in Tau.bioRxiv : the preprint server for biology · 2024
    Article
  19. Article
  20. Article

38 more citing papers are in PubMed but not listed here.

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 at 2 institutions in 2 countries.

Jarrett D EgertsonDepartment of Genome Sciences, University of Washington, Seattle, Washington, USA.
Brendan MacLeanDepartment of Genome Sciences, University of Washington, Seattle, Washington, USA.
Richard JohnsonDepartment of Genome Sciences, University of Washington, Seattle, Washington, USA.
Yue XuanThermo Fisher Scientific (Bremen) GmbH, Bremen, Germany.
Michael J MacCossDepartment of Genome Sciences, University of Washington, Seattle, Washington, USA.
University of Washington · USThermo Fisher Scientific (Germany) · DE

Funding

TrainingP41GM103533 · NIGMS · UNIVERSITY OF WASHINGTON · PI MACCOSS, MICHAEL · 2012 to 2021
$20.7M
There and Back Again: Epigenetic Reinforcement of Cellular Signaling States - OverallU54HG008097 · NHGRI · BROAD INSTITUTE, INC. · PI JAFFE, JACOB DAVID · 2014 to 2019
$9.3M
Skyline Targeted Proteomics EnvironmentR01GM103551 · NIGMS · UNIVERSITY OF WASHINGTON · PI MACCOSS, MICHAEL · 2012 to 2020
$3.4M
Systematic and Comprehensive Sampling of Peptides in Mixtures by Tandem Mass SpectrometryR21CA192983 · NCI · UNIVERSITY OF WASHINGTON · PI MACCOSS, MICHAEL · 2015 to 2017
$648k
NCI NIH HHS R21 CA192983NHGRI NIH HHS U54 HG008097NIGMS NIH HHS P41 GM103533NIGMS NIH HHS R01 GM103551
6 · The paper itself

Abstract

Here we describe the use of data-independent acquisition (DIA) on a Q-Exactive mass spectrometer for the detection and quantification of peptides in complex mixtures using the Skyline Targeted Proteomics Environment (freely available online at http://skyline.maccosslab.org). The systematic acquisition of mass spectrometry (MS) or tandem MS (MS/MS) spectra by DIA is in contrast to DDA, in which the acquired MS/MS spectra are only suitable for the identification of a stochastically sampled set of peptides. Similarly to selected reaction monitoring (SRM), peptides can be quantified from DIA data using targeted chromatogram extraction. Unlike SRM, data acquisition is not constrained to a predetermined set of target peptides. In this protocol, a spectral library is generated using data-dependent acquisition (DDA), and chromatograms are extracted from the DIA data for all peptides in the library. As in SRM, quantification using DIA data is based on the area under the curve of extracted MS/MS chromatograms. In addition, a quality control (QC) method suitable for DIA based on targeted MS/MS acquisition is detailed. Not including time spent acquiring data, and time for database searching, the procedure takes ∼1-2 h to complete. Typically, data acquisition requires roughly 1-4 h per sample, and a database search will take 0.5-2 h to complete.

Indexed as

Mass SpectrometryPeptide LibrarySoftwarePeptidesQuality ControlPeptide LibraryPeptides

Identifiers

PMID25996789
PMCPMC5127711
OpenAlexW1541396877

What OpenQuestion holds

Textmetadata
LicenceTDM
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.