Evidence map›Paper›PMID 31792070›Full record

ReviewMolecular & cellular proteomics : MCP2020

Next-generation Interactomics: Considerations for the Use of Co-elution to Measure Protein Interaction Networks.

Daniela Salas, R Greg Stacey, Mopelola Akinlaja, Leonard J Foster

Abstract readReview
In one paragraph

Review in Molecular & cellular proteomics : MCP, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 1 pooled it
–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

38 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
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  7. Journal of proteome research · 2024
    Review
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  19. Methods to Analyze the Redox Reactivity of Plant Proteins.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  20. 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

4 authors.

Daniela SalasMichael Smith Laboratories and Department of Biochemistry and Molecular Biology, University of British Columbia, Vancouver, BC, Canada; Department of Chemistry, Simon Fraser University, Burnaby, BC, Canada.
R Greg StaceyMichael Smith Laboratories and Department of Biochemistry and Molecular Biology, University of British Columbia, Vancouver, BC, Canada.
Mopelola AkinlajaMichael Smith Laboratories and Department of Biochemistry and Molecular Biology, University of British Columbia, Vancouver, BC, Canada.
Leonard J FosterMichael Smith Laboratories and Department of Biochemistry and Molecular Biology, University of British Columbia, Vancouver, BC, Canada. Electronic address: foster@msl.ubc.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding how proteins interact is crucial to understanding cellular processes. Among the available interactome mapping methods, co-elution stands out as a method that is simultaneous in nature and capable of identifying interactions between all the proteins detected in a sample. The general workflow in co-elution methods involves the mild extraction of protein complexes and their separation into several fractions, across which proteins bound together in the same complex will show similar co-elution profiles when analyzed appropriately. In this review we discuss the different separation, quantification and bioinformatic strategies used in co-elution studies, and the important considerations in designing these studies. The benefits of co-elution

Indexed as

Protein Interaction MapsCellsChromatography, GelChromatography, Ion ExchangeComputational BiologyElectrophoresis, Polyacrylamide GelHumansProtein Interaction MappingProteinsProteomicsTandem Mass SpectrometryProteinsbioinformaticschromatographyco-elutionco-fractionationcomplexesinteractomemass spectrometryprotein complex analysisprotein correlation profilingProtein-protein interactionsseparation technologiesSILAC

Identifiers

PMID31792070
PMCPMC6944233

What OpenQuestion holds

Textmetadata
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.