Evidence map›Paper›PMID 39147973›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2024

Repurposing Proximity-Dependent Protein Labeling (BioID2) for Protein Interaction Mapping in E. coli.

Tom Killelea, Fiona E Kemm, Liu He, Christian J Rudolph, Edward L Bolt

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Article in Methods in molecular biology (Clifton, N.J.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. POLD3 as Controller of Replicative DNA Repair.International journal of molecular sciences · 2024
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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.

Tom KilleleaSchool of Life Sciences, University of Nottingham, Nottingham, UK. tom.killelea@nottingham.ac.uk.
Fiona E KemmSchool of Life Sciences, University of Nottingham, Nottingham, UK.
Liu HeSchool of Life Sciences, University of Nottingham, Nottingham, UK.
Christian J RudolphDivision of Biosciences, College of Health, Medicine and Life Sciences, Brunel University London, Uxbridge, UK.
Edward L BoltSchool of Life Sciences, University of Nottingham, Nottingham, UK. ed.bolt@nottingham.ac.uk.

Funding

Biotechnology and Biological Sciences Research Council BB/T006625/1Biotechnology and Biological Sciences Research Council BB/T007168/1
6 · The paper itself

Abstract

Methods that identify protein-protein interactions are essential for understanding molecular mechanisms controlling biological systems. Proximity-dependent labeling has proven to be a valuable method for revealing protein-protein interaction networks in living cells. A mutant form of the biotin protein ligase enzyme from Aquifex aeolicus (BioID2) underpins this methodology by producing biotin that is attached to proteins that enter proximity to it. This labels proteins for capture, extraction, and identification. In this chapter, we present a toolkit for BioID2 specifically adapted for use in E. coli, exemplified by the chemotaxis protein CheA. We have created plasmids containing BioID2 as expression cassettes for proteins (e.g., CheA) fused to BioID2 at either the N or C terminus, optimized with an 8 × GGS linker. We provide a methodology for expression and verification of CheA-BioID2 fusion proteins in E. coli cells, the in vivo biotinylation of interactors by protein-BioID2 fusions, and extraction and analysis of interacting proteins that have been biotinylated.

Indexed as

BiotinylationEscherichia coliProtein Interaction MappingBacterial ProteinsBiotinCarbon-Nitrogen LigasesEscherichia coli ProteinsPlasmidsProtein Interaction MapsRecombinant Fusion ProteinsStaining and LabelingBacterial ProteinsBiotinCarbon-Nitrogen LigasesEscherichia coli ProteinsRecombinant Fusion ProteinsBioID2BiotinylationCheAChemotaxisE. coliProtein-protein interactionProximity-dependent labeling

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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.