Evidence map›Paper›PMID 25704442›Full record

ArticleScientific reports2015

Proteins interacting with cloning scars: a source of false positive protein-protein interactions.

Charles A S Banks, Gina Boanca, Zachary T Lee, Laurence Florens, Michael P Washburn

Abstract read
In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

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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

15 citing papers in PubMed.

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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.

Charles A S BanksStowers Institute for Medical Research, Kansas City, MO 64110.
Gina BoancaStowers Institute for Medical Research, Kansas City, MO 64110.
Zachary T LeeStowers Institute for Medical Research, Kansas City, MO 64110.
Laurence FlorensStowers Institute for Medical Research, Kansas City, MO 64110.
Michael P Washburn1] Stowers Institute for Medical Research, Kansas City, MO 64110 [2] Departments of Pathology &Laboratory Medicine, University of Kansas Medical Center, Kansas City, KS 66160.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A common approach for exploring the interactome, the network of protein-protein interactions in cells, uses a commercially available ORF library to express affinity tagged bait proteins; these can be expressed in cells and endogenous cellular proteins that copurify with the bait can be identified as putative interacting proteins using mass spectrometry. Control experiments can be used to limit false-positive results, but in many cases, there are still a surprising number of prey proteins that appear to copurify specifically with the bait. Here, we have identified one source of false-positive interactions in such studies. We have found that a combination of: 1) the variable sequence of the C-terminus of the bait with 2) a C-terminal valine "cloning scar" present in a commercially available ORF library, can in some cases create a peptide motif that results in the aberrant co-purification of endogenous cellular proteins. Control experiments may not identify false positives resulting from such artificial motifs, as aberrant binding depends on sequences that vary from one bait to another. It is possible that such cryptic protein binding might occur in other systems using affinity tagged proteins; this study highlights the importance of conducting careful follow-up studies where novel protein-protein interactions are suspected.

Indexed as

Adaptor Proteins, Signal TransducingChromatography, AffinityCloning, MolecularHEK293 CellsHumansMass SpectrometryOpen Reading FramesProtein Interaction Domains and MotifsProteinsProtein Tyrosine Phosphatase, Non-Receptor Type 13Recombinant Fusion ProteinsAdaptor Proteins, Signal TransducingProteinsProtein Tyrosine Phosphatase, Non-Receptor Type 13PTPN13 protein, humanRecombinant Fusion ProteinsTNIP2 protein, human

Identifiers

PMID25704442
PMCPMC4336944

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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.