Zobraziť v EDS

Data- and knowledge-derived functional landscape of human solute carriers

Uložené v:
Podrobná bibliografia
Názov: Data- and knowledge-derived functional landscape of human solute carriers
Autori: Ulrich Goldmann, Tabea Wiedmer, Andrea Garofoli, Vitaly Sedlyarov, Manuel Bichler, Ben Haladik, Gernot Wolf, Eirini Christodoulaki, Alvaro Ingles-Prieto, Evandro Ferrada, Fabian Frommelt, Shao Thing Teoh, Philipp Leippe, Gabriel Onea, Martin Pfeifer, Mariah Kohlbrenner, Lena Chang, Paul Selzer, Jürgen Reinhardt, Daniela Digles, Gerhard F Ecker, Tanja Osthushenrich, Aidan MacNamara, Anders Malarstig, David Hepworth, Giulio Superti-Furga
Zdroj: Molecular Systems Biology, Vol 21, Iss 6, Pp 599-631 (2025)
Informácie o vydavateľovi: Springer Nature, 2025.
Rok vydania: 2025
Zbierka: LCC:Biology (General)
LCC:Medicine (General)
Predmety: Human Gene Function, Knowledgebase, Membrane Transporters, Multimodal Data Integration, Solute Carriers, Biology (General), QH301-705.5, Medicine (General), R5-920
Popis: Abstract The human solute carrier (SLC) superfamily of ~460 membrane transporters remains the largest understudied protein family despite its therapeutic potential. To advance SLC research, we developed a comprehensive knowledgebase that integrates systematic multi-omics data sets with selected curated information from public sources. We annotated SLC substrates through literature curation, compiled SLC disease associations using data mining techniques, and determined the subcellular localization of SLCs by combining annotations from public databases with an immunofluorescence imaging approach. This SLC-centric knowledge is made accessible to the scientific community via a web portal featuring interactive dashboards and visualization tools. Utilizing this systematically collected and curated resource, we computationally derived an integrated functional landscape for the entire human SLC superfamily. We identified clusters with distinct properties and established functional distances between transporters. Based on all available data sets and their integration, we assigned biochemical/biological functions to each SLC, making this study one of the largest systematic annotations of human gene function and a potential blueprint for future research endeavors.
Druh dokumentu: article
Popis súboru: electronic resource
Jazyk: English
ISSN: 1744-4292
Relation: https://doaj.org/toc/1744-4292
DOI: 10.1038/s44320-025-00108-2
Prístupová URL adresa: https://doaj.org/article/a098570c29f54026abfebea0548b55a9
Prístupové číslo: edsdoj.098570c29f54026abfebea0548b55a9
Databáza: Directory of Open Access Journals
Popis
Abstrakt:Abstract The human solute carrier (SLC) superfamily of ~460 membrane transporters remains the largest understudied protein family despite its therapeutic potential. To advance SLC research, we developed a comprehensive knowledgebase that integrates systematic multi-omics data sets with selected curated information from public sources. We annotated SLC substrates through literature curation, compiled SLC disease associations using data mining techniques, and determined the subcellular localization of SLCs by combining annotations from public databases with an immunofluorescence imaging approach. This SLC-centric knowledge is made accessible to the scientific community via a web portal featuring interactive dashboards and visualization tools. Utilizing this systematically collected and curated resource, we computationally derived an integrated functional landscape for the entire human SLC superfamily. We identified clusters with distinct properties and established functional distances between transporters. Based on all available data sets and their integration, we assigned biochemical/biological functions to each SLC, making this study one of the largest systematic annotations of human gene function and a potential blueprint for future research endeavors.
ISSN:17444292
DOI:10.1038/s44320-025-00108-2