Molecular Systems BiologySystems BiologyPeer-reviewed journal article
Metabolic mapping of the human solute carrier superfamily
Tabea WiedmeriD, Shao Thing TeohiD, Eirini ChristodoulakiiD, Gernot WolfiD, Chengzhe TianiD, Vitaly SedlyaroviD, Abigail P JarretiD, Philipp LeippeiD, Fabian FrommeltiD, Álvaro Inglés‐PrietoiD, Sabrina LindingeriD, Bárbara M. G. BarbosaiD, Svenja OnsteiniD, Christoph KlimekiD, Julio Garcia MuriasiD, Iciar SerranoiD, Daniela Reil, Diana Santacruz, Mary A. Piotrowski, Stephen NoelliD, Christoph BueschliD, Huanyu Z. LiiD, Gamma ChiiD, Stefan MereiteriD, Tiago OliveiraiD, , Giulio Superti‐FurgaiD
Abstract
Solute carrier (SLC) transporters govern most of the chemical exchange across cellular membranes and are integral to metabolic regulation, which in turn is linked to cellular function and identity. Despite their key role, individual functions of the members of the SLC superfamily were not evaluated systematically. We determined the metabolic and transcriptional profiles upon SLC overexpression in knock-out or wild-type isogenic cell backgrounds. Targeted metabolomics provided a fingerprint of 189 intracellular metabolites, while transcriptomics offered insights into cellular programs modulated by SLC expression. Beyond the metabolic profiles of 102 SLCs directly related to their known substrates, we also identified putative substrates or metabolic pathway connections for 71 SLCs without previously annotated bona fide substrates, including SLC45A4 as a new polyamine transporter. By comparing the molecular profiles, we identified functionally related SLC groups, including some with distinct impacts on osmolyte balancing and glycosylation. The assessment of functionally related human genes presented here may serve as a blueprint for other systematic studies of human gene function and supports future investigations into the functional roles of SLCs.
- organism: human
- assay: metabolomics
- assay: bulk RNA-seq
- research focus: differential expression
- research focus: gene regulatory network inference
- approach: statistical model
- Citations
- 20
- FWCI
- 8.23
- Field percentile
- top 2%
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