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Generic residue numbering of the GAIN domain of adhesion GPCRs

Author

Listed:
  • Florian Seufert

    (Medical Faculty)

  • Guillermo Pérez-Hernández

    (corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin)

  • Gáspár Pándy-Szekeres

    (Universitetsparken 2
    Magyar Tudósok körútja 2.)

  • Ramon Guixà-González

    (corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin
    Institute for Advanced Chemistry of Catalonia (IQAC-CSIC))

  • Tobias Langenhan

    (Leipzig University
    Comprehensive Cancer Center Central Germany (CCCG)
    Leipzig University)

  • David E. Gloriam

    (Universitetsparken 2)

  • Peter W. Hildebrand

    (Medical Faculty
    Center for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI))

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.

Suggested Citation

  • Florian Seufert & Guillermo Pérez-Hernández & Gáspár Pándy-Szekeres & Ramon Guixà-González & Tobias Langenhan & David E. Gloriam & Peter W. Hildebrand, 2025. "Generic residue numbering of the GAIN domain of adhesion GPCRs," Nature Communications, Nature, vol. 16(1), pages 1-11, December.
  • Handle: RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-024-55466-6
    DOI: 10.1038/s41467-024-55466-6
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