Evidence map›Paper›PMID 36410438›Full record

ArticleThe Journal of biological chemistry2023

Impact of inherent biases built into proteomic techniques: Proximity labeling and affinity capture compared.

Claudia Maria do Nascimento Moreira, Cristina D Kelemen, Samson O Obado, Farnaz Zahedifard, Ning Zhang, Fabiola B Holetz, Laura Gauglitz, Bruno Dallagiovanna, Mark C Field, Susanne Kramer and 1 more

Open access · goldAbstract read
In one paragraph

Article in The Journal of biological chemistry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
4.0field-weighted citation impact, top 5% of its field
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

21 citing papers in PubMed, 36 citations in OpenAlex.

  1. Review
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  4. Mapping Trypanosoma Protein Interactome by Proximity-Dependent Biotinylation.Methods in molecular biology (Clifton, N.J.) · 2026
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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

11 authors at 5 institutions in 6 countries.

Claudia Maria do Nascimento MoreiraDepartment of Cell and Developmental Biology, Biocenter, University of Würzburg, Würzburg, Germany; Carlos Chagas Institute (ICC), FIOCRUZ/PR, Curitiba, Brazil.
Cristina D KelemenDepartment of Parasitology, Faculty of Science, Charles University in Prague, Biocev, Vestec, Czech Republic.
Samson O ObadoThe Rockefeller University, Laboratory of Cellular and Structural Biology, New York, New York, USA.
Farnaz ZahedifardDepartment of Parasitology, Faculty of Science, Charles University in Prague, Biocev, Vestec, Czech Republic.
Ning ZhangSchool of Life Sciences, University of Dundee, Dundee, United Kingdom.
Fabiola B HoletzCarlos Chagas Institute (ICC), FIOCRUZ/PR, Curitiba, Brazil.
Laura GauglitzDepartment of Cell and Developmental Biology, Biocenter, University of Würzburg, Würzburg, Germany.
Bruno DallagiovannaCarlos Chagas Institute (ICC), FIOCRUZ/PR, Curitiba, Brazil.
Mark C FieldSchool of Life Sciences, University of Dundee, Dundee, United Kingdom; Institute of Parasitology, Biology Centre, Czech Academy of Sciences, České Budějovice, Czech Republic.
Susanne KramerDepartment of Cell and Developmental Biology, Biocenter, University of Würzburg, Würzburg, Germany. Electronic address: susanne.kramer@uni-wuerzburg.de.
Martin ZoltnerDepartment of Parasitology, Faculty of Science, Charles University in Prague, Biocev, Vestec, Czech Republic. Electronic address: zoltnerm@natur.cuni.cz.
Charles University · CZUniversity of Würzburg · DEFundação Carlos Chagas · BRUniversity of Dundee · GBRockefeller University · US

Funding

TR&D Project 4. The Imaging Stage: Multiscale Spatiotemporal Modeling of Macromolecular Systems in Cellular NeighborhoodsP41GM109824 · NIGMS · ROCKEFELLER UNIVERSITY · PI SALI, ANDREJ · 2014 to 2023
$18.8M
National Resource for Mass Spectrom of Biological MacromoleculesP41GM103314 · NIGMS · ROCKEFELLER UNIVERSITY · PI CHAIT, BRIAN T · 2012 to 2017
$9.9M
Structure-Function Mapping of the Nuclear Pore Complex-RenewalR01GM112108 · NIGMS · ROCKEFELLER UNIVERSITY · PI JOHN D. AITCHISON, MICHAEL P ROUT · 2015 to 2026
$9.1M
New Tools for Exploring the Dynamic Interactome (Renewal)U54GM103511 · NIGMS · ROCKEFELLER UNIVERSITY · PI ROUT, MICHAEL P · 2012 to 2013
$6.2M
Molecular and Functional Dissection of Distinct mRNA Export PathwaysR01AI140429 · NIAID · ROCKEFELLER UNIVERSITY · PI OBADO, SAMSON, ROUT, MICHAEL P · 2019 to 2022
$1.5M
Medical Research Council MR/P009018/1NIAID NIH HHS R01 AI140429NIGMS NIH HHS P41 GM103314NIGMS NIH HHS P41 GM109824NIGMS NIH HHS R01 GM112108NIGMS NIH HHS U54 GM103511Wellcome TrustWellcome Trust 082813/Z/07/ZWellcome Trust 097945/B/11/ZWellcome Trust 108445/Z/15/ZWellcome Trust 204697/Z/16/Z
6 · The paper itself

Abstract

The characterization of protein-protein interactions (PPIs) is of high value for understanding protein function. Two strategies are popular for identification of PPIs direct from the cellular environment: affinity capture (pulldown) isolates the protein of interest with an immobilized matrix that specifically captures the target and potential partners, whereas in BioID, genetic fusion of biotin ligase facilitates proximity biotinylation, and labeled proteins are isolated with streptavidin. Whilst both methods provide valuable insights, they can reveal distinct PPIs, but the basis for these differences is less obvious. Here, we compare both methods using four different trypanosome proteins as baits: poly(A)-binding proteins PABP1 and PABP2, mRNA export receptor MEX67, and the nucleoporin NUP158. With BioID, we found that the population of candidate interacting proteins decreases with more confined bait protein localization, but the candidate population is less variable with affinity capture. BioID returned more likely false positives, in particular for proteins with less confined localization, and identified low molecular weight proteins less efficiently. Surprisingly, BioID for MEX67 identified exclusively proteins lining the inner channel of the nuclear pore complex (NPC), consistent with the function of MEX67, whereas the entire NPC was isolated by pulldown. Similarly, for NUP158, BioID returned surprisingly few PPIs within NPC outer rings that were by contrast detected with pulldown but instead returned a larger cohort of nuclear proteins. These rather significant differences highlight a clear issue with reliance on a single method to identify PPIs and suggest that BioID and affinity capture are complementary rather than alternative approaches.

Indexed as

ProteinsProteomicsBiotinylationNuclear PoreStreptavidinProteinsStreptavidinaffinity captureBioIDcryomillinginteractomeproteome

Identifiers

PMID36410438
PMCPMC9791439
OpenAlexW4309370203

What OpenQuestion holds

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LicenceCC BY
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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.