Evidence map›Paper›PMID 30651306›Full record

ArticleMolecular & cellular proteomics : MCP2019

Data-independent Acquisition Improves Quantitative Cross-linking Mass Spectrometry.

Fränze Müller, Lars Kolbowski, Oliver M Bernhardt, Lukas Reiter, Juri Rappsilber

Abstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Article
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  4. Review
  5. Review
  6. State-of-the-Art and Future Directions in Structural Proteomics.Molecular & cellular proteomics : MCP · 2025
    Review
  7. Review
  8. Article
  9. Article
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  11. Review
  12. Article
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  18. Article
  19. Review
  20. SWATH-MS Protocols in Human Diseases.Methods in molecular biology (Clifton, N.J.) · 2021
    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

5 authors.

Fränze MüllerFrom the ‡Bioanalytics, Institute of Biotechnology, Technische Universität Berlin, 13355 Berlin, Germany.
Lars KolbowskiFrom the ‡Bioanalytics, Institute of Biotechnology, Technische Universität Berlin, 13355 Berlin, Germany;; §Wellcome Centre for Cell Biology, School of Biological Sciences, University of Edinburgh, Edinburgh EH9 3BF, Scotland, United Kingdom.
Oliver M Bernhardt¶Biognosys, 8952 Zürich-Schlieren, Switzerland.
Lukas Reiter¶Biognosys, 8952 Zürich-Schlieren, Switzerland.
Juri RappsilberFrom the ‡Bioanalytics, Institute of Biotechnology, Technische Universität Berlin, 13355 Berlin, Germany;; §Wellcome Centre for Cell Biology, School of Biological Sciences, University of Edinburgh, Edinburgh EH9 3BF, Scotland, United Kingdom;. Electronic address: juri.rappsilber@tu-berlin.de.

Funding

Wellcome Trust 103139/Z/13/ZWellcome Trust 203149
6 · The paper itself

Abstract

Quantitative cross-linking mass spectrometry (QCLMS) reveals structural detail on altered protein states in solution. On its way to becoming a routine technology, QCLMS could benefit from data-independent acquisition (DIA), which generally enables greater reproducibility than data-dependent acquisition (DDA) and increased throughput over targeted methods. Therefore, here we introduce DIA to QCLMS by extending a widely used DIA software, Spectronaut, to also accommodate cross-link data. A mixture of seven proteins cross-linked with bis[sulfosuccinimidyl] suberate (BS

Indexed as

Data AnalysisAnimalsCross-Linking ReagentsEscherichia coliHumansMass SpectrometryPeptidesReproducibility of ResultsSoftwareCross-Linking ReagentsPeptidesBioinformatics softwareData independent acquisitionLabel-free quantificationMass SpectrometryProtein Cross-linking*QuantificationReproducibilitySpectronautXi

Identifiers

PMID30651306
PMCPMC6442367

What OpenQuestion holds

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Registered trials

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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.