The genetic interaction map of the human solute carrier superfamily

Abstract Solute carriers (SLCs), the largest superfamily of transporter proteins in humans with about 450 members, control the movement of molecules across membranes. A typical human cell expresses over 200 different SLCs, yet their collective influence on cell phenotypes is not well understood due...

Full description

Saved in:
Bibliographic Details
Main Authors: Gernot Wolf, Philipp Leippe, Svenja Onstein, Ulrich Goldmann, Fabian Frommelt, Shao Thing Teoh, Enrico Girardi, Tabea Wiedmer, Giulio Superti-Furga
Format: Article
Language:English
Published: Springer Nature 2025-05-01
Series:Molecular Systems Biology
Subjects:
Online Access:https://doi.org/10.1038/s44320-025-00105-5
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Abstract Solute carriers (SLCs), the largest superfamily of transporter proteins in humans with about 450 members, control the movement of molecules across membranes. A typical human cell expresses over 200 different SLCs, yet their collective influence on cell phenotypes is not well understood due to overlapping substrate specificities and expression patterns. To address this, we performed systematic pairwise gene double knockouts using CRISPR-Cas12a and -Cas9 in human colon carcinoma cells. A total of 1,088,605 guide combinations were used to interrogate 35,421 SLC-SLC and SLC-enzyme double knockout combinations across multiple growth conditions, uncovering 1236 genetic interactions with a growth phenotype. Further exploration of an interaction between the mitochondrial citrate/malate exchanger SLC25A1 and the zinc transporter SLC39A1 revealed an unexpected role for SLC39A1 in metabolic reprogramming and anti-apoptotic signaling. This full-scale genetic interaction map of human SLC transporters is the backbone for understanding the intricate functional network of SLCs in cellular systems and generates hypotheses for pharmacological target exploitation in cancer and other diseases. The results are available at https://re-solute.eu/resources/dashboards/genomics/ .
ISSN:1744-4292