Evidence map›Paper›PMID 39095427›Full record

ArticleMolecular systems biology2024

Rescuing error control in crosslinking mass spectrometry.

Lutz Fischer, Juri Rappsilber

Abstract read
In one paragraph

Article in Molecular systems biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. 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

2 authors.

Lutz FischerTechnische Universität Berlin, Chair of Bioanalytics, 10623, Berlin, Germany.ORCID http://orcid.org/0000-0003-4978-0864
Juri RappsilberTechnische Universität Berlin, Chair of Bioanalytics, 10623, Berlin, Germany. juri.rappsilber@tu-berlin.de.ORCID http://orcid.org/0000-0001-5999-1310

Funding

Deutsche Forschungsgemeinschaft (DFG) 390540038Wellcome TrustWellcome Trust 203149
6 · The paper itself

Abstract

Crosslinking mass spectrometry is a powerful tool to study protein-protein interactions under native or near-native conditions in complex mixtures. Through novel search controls, we show how biassing results towards likely correct proteins can subtly undermine error estimation of crosslinks, with significant consequences. Without adjustments to address this issue, we have misidentified an average of 260 interspecies protein-protein interactions across 16 analyses in which we synthetically mixed data of different species, misleadingly suggesting profound biological connections that do not exist. We also demonstrate how data analysis procedures can be tested and refined to restore the integrity of the decoy-false positive relationship, a crucial element for reliably identifying protein-protein interactions.

Indexed as

Mass SpectrometryAnimalsCross-Linking ReagentsHumansProtein Interaction MappingProteinsCross-Linking ReagentsProteinsCrosslinking Mass SpectrometryData AnalysisData ReliabilityError EstimationProteomics

Identifiers

PMID39095427
PMCPMC11368935

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.