Evidence map›Paper›PMID 41926099›Full record

ReviewFEMS microbiology reviews2026

Protein-protein interfaces in chemotaxis receptor complexes and their role in signaling.

Jessica J Allen, Gulalai Shah, Lynmarie K Thompson

Abstract readReview
In one paragraph

Review in FEMS microbiology reviews, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Jessica J AllenDepartment of Chemistry, University of Massachusetts Amherst, Amherst, MA 01003, United States.ORCID 0000-0001-5506-3939
Gulalai ShahDepartment of Chemistry, University of Massachusetts Amherst, Amherst, MA 01003, United States.
Lynmarie K ThompsonDepartment of Chemistry, University of Massachusetts Amherst, Amherst, MA 01003, United States.ORCID 0000-0002-9447-6776

Funding

Chemistry-Biology Interface Predoctoral Training GrantT32GM139789 · NIGMS · UNIVERSITY OF MASSACHUSETTS AMHERST · PI ERIC Robert STRIETER · 2021 to 2026
$3.4M
NIGMS NIH HHS T32 GM139789NIH HHS R01-GM120195
6 · The paper itself

Abstract

Chemotaxis receptor complexes sense chemical gradient in the cellular environment to direct swimming towards favorable environments. The core signaling units of these complexes are made up of two trimers-of-dimers of chemoreceptors, two CheW and a CheA dimer, which further assemble into large hexagonal signaling arrays. Structural and biochemical studies have provided important information on the architecture and interfaces of these complexes. However, the signaling pathway of these complexes that controls the kinase is not fully understood. In this review, we highlight the highest resolution models of this system and examine the current consensus on the protein-protein interfaces based on models and interface experiments. We also highlight differences observed between signaling states for the individual proteins and the protein interfaces that are proposed to be part of the signaling mechanism. Overall, we conclude that there is strong structural consensus for the protein interfaces but, despite some intriguing results, more information is needed to understand how the interfaces change between signaling states and the role they play in signaling. An animated Interactive 3D Complement (I3DC) is available in Proteopedia at https://proteopedia.org/w/Journal:FEMS_Microbiology_Reviews:1.

Indexed as

Bacterial ProteinsChemotaxisMethyl-Accepting Chemotaxis ProteinsSignal TransductionModels, MolecularBacterial ProteinsMethyl-Accepting Chemotaxis Proteinschemotaxishexagonal arrayprotein–protein interfacesreceptor complexes

Identifiers

PMID41926099
PMCPMC13098124

What OpenQuestion holds

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LicenceCC BY-NC
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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.