Evidence map›Paper›PMID 35803928›Full record

ArticleNature communications2022

dia-PASEF data analysis using FragPipe and DIA-NN for deep proteomics of low sample amounts.

Vadim Demichev, Lukasz Szyrwiel, Fengchao Yu, Guo Ci Teo, George Rosenberger, Agathe Niewienda, Daniela Ludwig, Jens Decker, Stephanie Kaspar-Schoenefeld, Kathryn S Lilley and 3 more

Abstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 249 papers.

0numbers the graph read from it
0cells of the map it votes in
249citing 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

249 citing papers in PubMed.

  1. Article
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  5. A Spatiotemporal Atlas of the Androgen Receptor Proximal Interactome.bioRxiv : the preprint server for biology · 2026
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  14. Identification of a conserved gene family with an essential role inProceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  15. Article
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  19. Article
  20. Article

189 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

13 authors.

Vadim Demichev *Department of Biochemistry, Charité - Universitätsmedizin Berlin, Berlin, Germany. vadim.demichev@charite.de.ORCID 0000-0002-2424-9412
Lukasz Szyrwiel *Department of Biochemistry, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Fengchao YuDepartment of Pathology, University of Michigan, Ann Arbor, MI, USA.ORCID 0000-0002-7695-3698
Guo Ci TeoDepartment of Pathology, University of Michigan, Ann Arbor, MI, USA.ORCID 0000-0003-3212-4051
George RosenbergerDepartment of Systems Biology, Columbia University, New York, NY, USA.ORCID 0000-0002-1655-6789
Agathe NiewiendaDepartment of Biochemistry, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Daniela LudwigDepartment of Biochemistry, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Jens DeckerBruker Daltonics GmbH & Co. KG, Bremen, Germany.
Stephanie Kaspar-SchoenefeldBruker Daltonics GmbH & Co. KG, Bremen, Germany.
Kathryn S LilleyDepartment of Biochemistry and Milner Therapeutics Institute, University of Cambridge, Cambridge, UK.ORCID 0000-0003-0594-6543
Michael MüllederCore Facility High-Throughput Mass Spectrometry, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Alexey I NesvizhskiiDepartment of Pathology, University of Michigan, Ann Arbor, MI, USA. nesvi@med.umich.edu.ORCID 0000-0002-2806-7819
Markus RalserDepartment of Biochemistry, Charité - Universitätsmedizin Berlin, Berlin, Germany.ORCID 0000-0001-9535-7413

Funding

COMPUTATIONAL TOOLS FOR MASS SPECTROMETRY-BASED INTERACTOME DATAR01GM094231 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Alexey I Nesvizhskii · 2010 to 2026
$5.4M
Michigan Center for Translational Cancer Proteogenomics-Diversity SupplementU24CA271037 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Saravana Mohan Dhanasekaran, Alexey I Nesvizhskii · 2022 to 2026
$4.4M
University of Michigan Proteogenomics Data Analysis CenterU24CA210967 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CHINNAIYAN, ARUL M, DHANASEKARAN, SARAVANA M · 2016 to 2020
$4.1M
Biotechnology and Biological Sciences Research Council BB/N015215/1Biotechnology and Biological Sciences Research Council BB/N015282/1Cancer Research UK FC001134Medical Research Council FC001134NCI NIH HHS U24 CA210967NCI NIH HHS U24 CA271037NIGMS NIH HHS R01 GM094231Wellcome Trust 200829/Z/16/ZWellcome Trust FC001134
6 · The paper itself

Abstract

The dia-PASEF technology uses ion mobility separation to reduce signal interferences and increase sensitivity in proteomic experiments. Here we present a two-dimensional peak-picking algorithm and generation of optimized spectral libraries, as well as take advantage of neural network-based processing of dia-PASEF data. Our computational platform boosts proteomic depth by up to 83% compared to previous work, and is specifically beneficial for fast proteomic experiments and those with low sample amounts. It quantifies over 5300 proteins in single injections recorded at 200 samples per day throughput using Evosep One chromatography system on a timsTOF Pro mass spectrometer and almost 9000 proteins in single injections recorded with a 93-min nanoflow gradient on timsTOF Pro 2, from 200 ng of HeLa peptides. A user-friendly implementation is provided through the incorporation of the algorithms in the DIA-NN software and by the FragPipe workflow for spectral library generation.

Indexed as

ProteomeProteomicsData AnalysisHumansMass SpectrometryPeptidesPeptidesProteome

Identifiers

PMID35803928
PMCPMC9270362

What OpenQuestion holds

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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.