TY - JOUR
T1 - The full spectrum of SLC22 OCT1 mutations illuminates the bridge between drug transporter biophysics and pharmacogenomics
AU - Yee, Sook Wah
AU - Macdonald, Christian B.
AU - Mitrovic, Darko
AU - Zhou, Xujia
AU - Koleske, Megan L.
AU - Yang, Jia
AU - Buitrago Silva, Dina
AU - Rockefeller Grimes, Patrick
AU - Trinidad, Donovan D.
AU - More, Swati S.
AU - Kachuri, Linda
AU - Witte, John S.
AU - Delemotte, Lucie
AU - Giacomini, Kathleen M.
AU - Coyote-Maestas, Willow
N1 - Publisher Copyright:
© 2024 Elsevier Inc.
PY - 2024/5/16
Y1 - 2024/5/16
N2 - Mutations in transporters can impact an individual's response to drugs and cause many diseases. Few variants in transporters have been evaluated for their functional impact. Here, we combine saturation mutagenesis and multi-phenotypic screening to dissect the impact of 11,213 missense single-amino-acid deletions, and synonymous variants across the 554 residues of OCT1, a key liver xenobiotic transporter. By quantifying in parallel expression and substrate uptake, we find that most variants exert their primary effect on protein abundance, a phenotype not commonly measured alongside function. Using our mutagenesis results combined with structure prediction and molecular dynamic simulations, we develop accurate structure-function models of the entire transport cycle, providing biophysical characterization of all known and possible human OCT1 polymorphisms. This work provides a complete functional map of OCT1 variants along with a framework for integrating functional genomics, biophysical modeling, and human genetics to predict variant effects on disease and drug efficacy.
AB - Mutations in transporters can impact an individual's response to drugs and cause many diseases. Few variants in transporters have been evaluated for their functional impact. Here, we combine saturation mutagenesis and multi-phenotypic screening to dissect the impact of 11,213 missense single-amino-acid deletions, and synonymous variants across the 554 residues of OCT1, a key liver xenobiotic transporter. By quantifying in parallel expression and substrate uptake, we find that most variants exert their primary effect on protein abundance, a phenotype not commonly measured alongside function. Using our mutagenesis results combined with structure prediction and molecular dynamic simulations, we develop accurate structure-function models of the entire transport cycle, providing biophysical characterization of all known and possible human OCT1 polymorphisms. This work provides a complete functional map of OCT1 variants along with a framework for integrating functional genomics, biophysical modeling, and human genetics to predict variant effects on disease and drug efficacy.
KW - OCT1
KW - SLC22
KW - deep mutational scanning
KW - drug transporter
KW - membrane protein folding
KW - pharmacogenomics
KW - precision medicine
KW - structure prediction
KW - structure-function
UR - http://www.scopus.com/inward/record.url?scp=85192829689&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85192829689&partnerID=8YFLogxK
U2 - 10.1016/j.molcel.2024.04.008
DO - 10.1016/j.molcel.2024.04.008
M3 - Article
C2 - 38703769
AN - SCOPUS:85192829689
SN - 1097-2765
VL - 84
SP - 1932-1947.e10
JO - Molecular Cell
JF - Molecular Cell
IS - 10
ER -