Evidence map›Paper›PMID 42482393›Full record

ArticleGlia2026

Quantifying Heteromer Partitioning Reveals Inflammation-Dependent Redistribution of Microglial Adenosine A

Rafael Franco, Jaume Lillo, Christian Griñán-Ferré, Mercè Pallàs, Rafael Rivas-Santisteban

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Glia, 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

5 authors.

Rafael FrancoCIBERNED (Center for Networked Biomedical Research on Neurodegenerative Diseases), Spanish National Institute of Health Carlos III, Madrid, Spain.ORCID 0000-0003-2549-4919
Jaume LilloCIBERNED (Center for Networked Biomedical Research on Neurodegenerative Diseases), Spanish National Institute of Health Carlos III, Madrid, Spain.
Christian Griñán-FerréCIBERNED (Center for Networked Biomedical Research on Neurodegenerative Diseases), Spanish National Institute of Health Carlos III, Madrid, Spain.ORCID 0000-0002-5424-9130
Mercè PallàsCIBERNED (Center for Networked Biomedical Research on Neurodegenerative Diseases), Spanish National Institute of Health Carlos III, Madrid, Spain.
Rafael Rivas-SantistebanCIBERNED (Center for Networked Biomedical Research on Neurodegenerative Diseases), Spanish National Institute of Health Carlos III, Madrid, Spain.ORCID 0000-0002-2078-6819

Funding

Agencia Estatal de Investigación PID2021-126600OB-I00
6 · The paper itself

Abstract

G protein-coupled receptor (GPCR) heteromerization represents a key organizational mechanism in cell signaling, but it remains difficult to determine, in native cells, how receptor-associated signals are distributed between non-interacting and heteromer-associated states. Here, we address this limitation by combining proximity ligation assay (PLA) with the newly applied MolBoolean methodology, enabling in situ quantification of the partitioning of adenosine A

Indexed as

InflammationMicrogliaReceptor, Adenosine A2AReceptor, Cannabinoid, CB2AnimalsCells, CulturedHEK293 CellsHumansLipopolysaccharidesMiceMice, Inbred C57BLAdora2a protein, mouseLipopolysaccharidesReceptor, Adenosine A2AReceptor, Cannabinoid, CB2adenosine A2A receptorcannabinoid CB2 receptorGPCR heteromerizationin situ proximity ligationmicroglial activationMolBooleanneuroinflammationprecision pharmacologyreceptor partitioning

Identifiers

PMID42482393
PMCPMC13389093

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.