Evidence map›Paper›PMID 30671891›Full record

ArticleJournal of the American Society for Mass Spectrometry2019

Improving Precursor Selectivity in Data-Independent Acquisition Using Overlapping Windows.

Dario Amodei, Jarrett Egertson, Brendan X MacLean, Richard Johnson, Gennifer E Merrihew, Austin Keller, Don Marsh, Olga Vitek, Parag Mallick, Michael J MacCoss

Open access · greenAbstract read
In one paragraph

Article in Journal of the American Society for Mass Spectrometry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 88 papers.

0numbers the graph read from it
0cells of the map it votes in
88citing papers in PubMed
8.7field-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

88 citing papers in PubMed, 160 citations in OpenAlex.

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  16. Mistranslating tRNA variants impact the proteome and phosphoproteome ofbioRxiv : the preprint server for biology · 2025
    Article
  17. Slice-PASEF: Maximising Ion Utilisation in LC-MS Proteomics.bioRxiv : the preprint server for biology · 2025
    Article
  18. Article
  19. Article
  20. Article

28 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

10 authors at 3 institutions in 1 country.

Dario AmodeiDepartment of Radiology, Stanford University, 3155 Porter Drive, Palo Alto, CA, USA.
Jarrett EgertsonDepartment of Genome Sciences, University of Washington, 3720 15th Ave. NE, Seattle, WA, USA.
Brendan X MacLeanDepartment of Genome Sciences, University of Washington, 3720 15th Ave. NE, Seattle, WA, USA.
Richard JohnsonDepartment of Genome Sciences, University of Washington, 3720 15th Ave. NE, Seattle, WA, USA.
Gennifer E MerrihewDepartment of Genome Sciences, University of Washington, 3720 15th Ave. NE, Seattle, WA, USA.
Austin KellerDepartment of Genome Sciences, University of Washington, 3720 15th Ave. NE, Seattle, WA, USA.
Don MarshDepartment of Genome Sciences, University of Washington, 3720 15th Ave. NE, Seattle, WA, USA.
Olga VitekCollege of Computer and Information Science, Northeastern University, 440 Huntington Ave, Boston, MA, USA.
Parag MallickDepartment of Radiology, Stanford University, 3155 Porter Drive, Palo Alto, CA, USA. paragm@stanford.edu.
Michael J MacCossDepartment of Genome Sciences, University of Washington, 3720 15th Ave. NE, Seattle, WA, USA. maccoss@uw.edu.
University of Washington · USStanford University · USNortheastern University · US

Funding

SPECIFICITY OF OXYGEN DNA DAMAGE AND MUTAGENESISP01AG001751 · NIA · UNIVERSITY OF WASHINGTON · PI RABINOVITCH, PETER S · 1985 to 2021
$29.6M
University of Washington Nathan Shock Center of Excellence in the Basic Biology of AgingP30AG013280 · NIA · UNIVERSITY OF WASHINGTON · PI Su-In Lee · 1995 to 2026
$27.1M
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 PAPANASTASIOU, MARTHA MALVINA, SUBRAMANIAN, ARAVIND · 2014 to 2019
$9.3M
Systems Genetics Analysis of Resilience to Alzheimers diseaseR01AG057914 · NIA · JACKSON LABORATORY · PI KACZOROWSKI, CATHERINE COOK · 2017 to 2021
$7.0M
Stanford Molecular and Cellular Characterization LaboratoryU01CA196387 · NCI · STANFORD UNIVERSITY · PI BROOKS, JAMES D. · 2015 to 2020
$5.2M
Molecular Phenotyping in Alzheimer's DiseaseRF1AG053959 · NIA · STANFORD UNIVERSITY · PI LARSON, ERIC B, MACCOSS, MICHAEL · 2016 to 2017
$4.1M
Skyline Targeted Proteomics EnvironmentR01GM103551 · NIGMS · UNIVERSITY OF WASHINGTON · PI MACCOSS, MICHAEL · 2012 to 2020
$3.4M
A Discovery Engine For Reproducible and Comparable Multi-Omic AnalysisR01GM117097 · NIGMS · STANFORD UNIVERSITY · PI GIL, YOLANDA, MALLICK, PARAG KUMAR · 2016 to 2018
$1.1M
Systematic and Comprehensive Sampling of Peptides in Mixtures by Tandem Mass SpectrometryR21CA192983 · NCI · UNIVERSITY OF WASHINGTON · PI MACCOSS, MICHAEL · 2015 to 2017
$648k
Defense Advanced Research Projects Agency W911NF-15-1-0555National Science Foundation DBI-1054826NCI NIH HHS R21 CA192983NCI NIH HHS U01 CA196387NHGRI NIH HHS R43 HG008087NHGRI NIH HHS U54 HG008097NIA NIH HHS P01 AG001751NIA NIH HHS P30 AG013280NIA NIH HHS R01 AG057914NIA NIH HHS RF1 AG053959NIGMS NIH HHS P41 GM103533NIGMS NIH HHS R01 GM103551NIGMS NIH HHS R01 GM117097NIH HHS P30 AG013280NIH HHS P41 GM103533NIH HHS R01 AG057914NIH HHS R01 GM103551NIH HHS R01 GM117097NIH HHS R21 CA192983NIH HHS RF1 AG053959NIH HHS U01 CA196387NIH HHS U54 HG008087
6 · The paper itself

Abstract

A major goal of proteomics research is the accurate and sensitive identification and quantification of a broad range of proteins within a sample. Data-independent acquisition (DIA) approaches that acquire MS/MS spectra independently of precursor information have been developed to overcome the reproducibility challenges of data-dependent acquisition and the limited breadth of targeted proteomics strategies. Typical DIA implementations use wide MS/MS isolation windows to acquire comprehensive fragment ion data. However, wide isolation windows produce highly chimeric spectra, limiting the achievable sensitivity and accuracy of quantification and identification. Here, we present a DIA strategy in which spectra are collected with overlapping (rather than adjacent or random) windows and then computationally demultiplexed. This approach improves precursor selectivity by nearly a factor of 2, without incurring any loss in mass range, mass resolution, chromatographic resolution, scan speed, or other key acquisition parameters. We demonstrate a 64% improvement in sensitivity and a 17% improvement in peptides detected in a 6-protein bovine mix spiked into a yeast background. To confirm the method's applicability to a realistic biological experiment, we also analyze the regulation of the proteasome in yeast grown in rapamycin and show that DIA experiments with overlapping windows can help elucidate its adaptation toward the degradation of oxidatively damaged proteins. Our integrated computational and experimental DIA strategy is compatible with any DIA-capable instrument. The computational demultiplexing algorithm required to analyze the data has been made available as part of the open-source proteomics software tools Skyline and msconvert (Proteowizard), making it easy to apply as part of standard proteomics workflows. Graphical Abstract.

Indexed as

Data-independent acquisitionLabel-free quantificationLC-MS/MSMultiplexed acquisitionProteasome regulationRapamycinSkylineTargeted mass spectrometry

Identifiers

PMID30671891
PMCPMC6445824
OpenAlexW2919275760

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.