Pfeifer, Martin, Reinhardt, Juergen, Chang, Lena, Kohlbrenner, Mariah, Goldmann, Ulrich, Garofoli, Andrea, Sedlyarov, Vitaly, Bichler, Manuel, Wolf, Gernot, Christodoulaki, Eirini, Ingles-Prieto, Alvaro, Ferrada, Evandro, Frommelt, Fabian, Thing Teoh, Shao, Leippe, Philipp, Haladik, Ben, Selzer, Paul, Digles, Daniela, Ecker, Gerhard, Osthushenrich, Tanja, McNamara, Aidan, Hepworth, David, Wiedmer, Tabea and Superti-Furga, Giulio (2025) Data- and knowledge-derived functional landscape of human solute carriers. Molecular systems biology. pp. 1-33. ISSN 1744-4292

Abstract

The efforts to generate functional data on most of the human solute carrier (SLC) superfamily of membrane transporters coordinated within the RESOLUTE and REsolution consortia resulted in numerous rich and diverse data sets. To synthesize the different aspects of SLC function into a comprehensive SLC knowledge base, we consolidate generated data with selected information from the public domain, such as substrate annotation, subcellular localization, structure, tissue expression, disease association, availability of assays as well as knowledge from the literature. Employing ontologies turned out to be essential given the redundancy and ambiguity of SLC function. A web portal enables browsing and querying the SLC knowledge base and interactive dashboards allow generation of hypotheses, based on visual exploration of individual data sets and annotations. We further harmonize eight selected data sets and integrate them to a functional landscape of human SLCs. Based on all the available data and integration, we are able to assign a biochemical/biological function to each SLC, making it one of the largest systematic annotations of human gene function ever, potentially acting as blueprint for future endeavours and representing a watershed for transporter biology.

Item Type:	Article
Keywords:	membrane transporters / human gene function / multimodal data integration/ RESOLUTE / REsolution
Date Deposited:	27 May 2025 00:46
Last Modified:	27 May 2025 00:46
URI:	https://oak.novartis.com/id/eprint/55566