Evidence map›Paper›PMID 34117231›Full record

ArticleNature communications2021

Reliable identification of protein-protein interactions by crosslinking mass spectrometry.

Swantje Lenz, Ludwig R Sinn, Francis J O'Reilly, Lutz Fischer, Fritz Wegner, Juri Rappsilber

Abstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 82 papers.

0numbers the graph read from it
0cells of the map it votes in
82citing 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

82 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Mapping the architecture of protein complexes inProceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  5. Article
  6. Article
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  19. Mapping amBio · 2025
    Article
  20. Slice-PASEF: Maximising Ion Utilisation in LC-MS Proteomics.bioRxiv : the preprint server for biology · 2025
    Article

22 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

6 authors.

Swantje Lenz *Bioanalytics, Institute of Biotechnology, Technische Universität Berlin, Berlin, Germany.ORCID 0000-0002-8839-5371
Ludwig R Sinn *Bioanalytics, Institute of Biotechnology, Technische Universität Berlin, Berlin, Germany.ORCID 0000-0003-4692-0681
Francis J O'Reilly *Bioanalytics, Institute of Biotechnology, Technische Universität Berlin, Berlin, Germany.ORCID 0000-0001-9258-0150
Lutz FischerBioanalytics, Institute of Biotechnology, Technische Universität Berlin, Berlin, Germany.
Fritz WegnerBioanalytics, Institute of Biotechnology, Technische Universität Berlin, Berlin, Germany.
Juri RappsilberBioanalytics, Institute of Biotechnology, Technische Universität Berlin, Berlin, Germany. Juri.Rappsilber@tu-berlin.de.ORCID 0000-0001-5999-1310

Funding

Wellcome Trust 103139Wellcome Trust 203149
6 · The paper itself

Abstract

Protein-protein interactions govern most cellular pathways and processes, and multiple technologies have emerged to systematically map them. Assessing the error of interaction networks has been a challenge. Crosslinking mass spectrometry is currently widening its scope from structural analyses of purified multi-protein complexes towards systems-wide analyses of protein-protein interactions (PPIs). Using a carefully controlled large-scale analysis of Escherichia coli cell lysate, we demonstrate that false-discovery rates (FDR) for PPIs identified by crosslinking mass spectrometry can be reliably estimated. We present an interaction network comprising 590 PPIs at 1% decoy-based PPI-FDR. The structural information included in this network localises the binding site of the hitherto uncharacterised protein YacL to near the DNA exit tunnel on the RNA polymerase.

Indexed as

Protein Interaction MapsEscherichia coliEscherichia coli ProteinsMass SpectrometryProtein Interaction MappingProteomeEscherichia coli ProteinsProteome

Identifiers

PMID34117231
PMCPMC8196013

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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.