Evidence map›Paper›PMID 39747076›Full record

ArticleNature communications2025

Generic residue numbering of the GAIN domain of adhesion GPCRs.

Florian Seufert, Guillermo Pérez-Hernández, Gáspár Pándy-Szekeres, Ramon Guixà-González, Tobias Langenhan, David E Gloriam, Peter W Hildebrand

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Adhesion G protein-coupled receptors.Pharmacological reviews · 2026
    Review
  2. Article
  3. Structure of the GNature communications · 2025
    Article
  4. Review
  5. Article
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.

Florian SeufertInstitute for Medical Physics and Biophysics, Leipzig University, Medical Faculty, Leipzig, Germany.ORCID 0000-0002-0664-7169
Guillermo Pérez-HernándezInstitute for Medical Physics and Biophysics, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.ORCID 0000-0002-9287-8704
Gáspár Pándy-SzekeresDepartment of Drug Design and Pharmacology, University of Copenhagen, Universitetsparken 2, Copenhagen, Denmark.ORCID 0000-0002-7697-2696
Ramon Guixà-GonzálezInstitute for Medical Physics and Biophysics, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.ORCID 0000-0003-0397-9800
Tobias LangenhanRudolf Schönheimer Institute of Biochemistry, Division of General Biochemistry, Medical Faculty, Leipzig University, Leipzig, Germany.ORCID 0000-0002-9061-3809
David E GloriamDepartment of Drug Design and Pharmacology, University of Copenhagen, Universitetsparken 2, Copenhagen, Denmark. david.gloriam@sund.ku.dk.ORCID 0000-0002-4299-7561
Peter W HildebrandInstitute for Medical Physics and Biophysics, Leipzig University, Medical Faculty, Leipzig, Germany. peter.hildebrand@medizin.uni-leipzig.de.ORCID 0000-0003-0063-1104

Funding

Deutsche Forschungsgemeinschaft (German Research Foundation) 421152132
6 · The paper itself

Abstract

The GPCR autoproteolysis inducing (GAIN) domain is an ancient protein fold ubiquitous in adhesion G protein-coupled receptors (aGPCR). It contains a tethered agonist necessary and sufficient for receptor activation. The GAIN domain is a hotspot for pathological mutations. However, the low primary sequence conservation of GAIN domains has thus far hindered the knowledge transfer across different GAIN domains in human receptors as well as species orthologs. Here, we present a scheme for generic residue numbering of GAIN domains, based on structural alignments of over 14,000 modeled GAIN domain structures. This scheme is implemented in the GPCR database (GPCRdb) and elucidates the domain topology across different aGPCRs and their homologs in a large panel of species. We identify conservation hotspots and statistically cancer-enriched positions in human aGPCRs and show the transferability of positional and structural information between GAIN domain homologs. The GAIN-GRN scheme provides a robust strategy to allocate structural homologies at the primary and secondary levels also to GAIN domains of polycystic kidney disease 1/PKD1-like proteins, which now renders positions in both GAIN domain types comparable to one another. In summary, our work enables researchers to generate hypothesis and rationalize experiments related to GAIN domain function and pathology.

Indexed as

Protein DomainsReceptors, G-Protein-CoupledAmino Acid SequenceAnimalsDatabases, ProteinHumansModels, MolecularReceptors, G-Protein-Coupled

Identifiers

PMID39747076
PMCPMC11697300

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.