Evidence map›Paper›PMID 42239782›Full record

ArticleResearch square2026

Cellular context and ligand class shape CXCR4-CCR5 heteromerization in live cells.

Mohamed Seghiri, Mojeed Ashiru, Chiako Farshadfar, Elizabeth Hair, Andres Ruiz, Ceyvion Wilkins, Adam W Smith

Abstract readPreprint
In one paragraph

Article in Research square, 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

7 authors.

Mohamed SeghiriTexas Tech University, Department of Chemistry & Biochemistry, Lubbock, TX USA.
Mojeed AshiruTexas Tech University, Department of Chemistry & Biochemistry, Lubbock, TX USA.
Chiako FarshadfarTexas Tech University, Department of Chemistry & Biochemistry, Lubbock, TX USA.
Elizabeth HairTexas Tech University, Department of Chemistry & Biochemistry, Lubbock, TX USA.
Andres RuizTexas Tech University, Department of Chemistry & Biochemistry, Lubbock, TX USA.
Ceyvion WilkinsTexas Tech University, Department of Chemistry & Biochemistry, Lubbock, TX USA.
Adam W SmithTexas Tech University, Department of Chemistry & Biochemistry, Lubbock, TX USA.ORCID 0000-0001-5216-9017

Funding

Resolving the interaction network of cell surface receptorsR35GM152126 · NIGMS · TEXAS TECH UNIVERSITY · PI Adam W. Smith · 2024 to 2026
$1.1M
NIGMS NIH HHS R35 GM152126
6 · The paper itself

Abstract

G protein-coupled receptors (GPCRs) can form heteromeric assemblies, yet whether class A GPCR heteromerization is dictated by cellular context remains unclear. Here we identify CXCR4-CCR5 heteromerization as a cell-dependent, cholesterol-sensitive, and ligand-regulated feature of live-cell membrane organization. In cancer-derived MDA-MB-231 cells, CXCR4 and CCR5 formed stable, slow-diffusing higher-order assemblies, whereas in COS7, HEK293, and MCF-10A cells the receptors were detected mainly as weaker monomer-dimer mixtures. Cholesterol depletion selectively reduced CXCR4-CCR5 heteromerization in MDA-MB-231 cells, implicating membrane composition as a major determinant of receptor assembly. Agonists induced transient heteromerization coupled to receptor internalization, while antagonists, especially plerixafor together with maraviroc, stabilized persistent surface-associated complexes. Molecular dynamics simulations in asymmetric bilayers resembling MDA-MB-231 and MCF-10A membranes identified cholesterol-enriched receptor interfaces that prolong CXCR4-CCR5 dimer lifetimes in MDA-like membranes. These results show that GPCR heteromerization is not an intrinsic fixed property of receptor pairs, but an emergent behavior shaped by cell state, lipid environment, and ligand input.

Identifiers

PMID42239782
PMCPMC13228829

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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.