Evidence map›Paper›PMID 39319420›Full record

ArticleGenetics2024

Deep mutational scanning of CYP2C19 in human cells reveals a substrate specificity-abundance tradeoff.

Gabriel E Boyle, Katherine A Sitko, Jared G Galloway, Hugh K Haddox, Aisha Haley Bianchi, Ajeya Dixon, Melinda K Wheelock, Allyssa J Vandi, Ziyu R Wang, Raine E S Thomson and 8 more

Abstract read
In one paragraph

Article in Genetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Amino acid substitutions at rheostat positions in the NaProtein science : a publication of the Protein Society · 2025
    Article
  8. Article
  9. Dissecting the effects of single amino acid substitutions in SARS-CoV-2 Mpro.Protein science : a publication of the Protein Society · 2025
    Article
  10. Multiplex, multimodal mapping of variant effects in secreted proteins.bioRxiv : the preprint server for biology · 2025
    Article
  11. Article
  12. Article
  13. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors.

Gabriel E BoyleDepartment of Genome Sciences, University of Washington, Seattle, WA 98195, USA.ORCID 0000-0002-2019-5787
Katherine A SitkoDepartment of Genome Sciences, University of Washington, Seattle, WA 98195, USA.
Jared G GallowayComputational Biology Program, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA.
Hugh K HaddoxComputational Biology Program, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA.
Aisha Haley BianchiDepartment of Genome Sciences, University of Washington, Seattle, WA 98195, USA.ORCID 0000-0003-3532-2109
Ajeya DixonDepartment of Genome Sciences, University of Washington, Seattle, WA 98195, USA.
Melinda K WheelockDepartment of Genome Sciences, University of Washington, Seattle, WA 98195, USA.
Allyssa J VandiDepartment of Genome Sciences, University of Washington, Seattle, WA 98195, USA.
Ziyu R WangDepartment of Genome Sciences, University of Washington, Seattle, WA 98195, USA.
Raine E S ThomsonSchool of Chemistry and Molecular Biosciences, University of Queensland, Brisbane, QLD 4067, Australia.
Riddhiman K GargeDepartment of Genome Sciences, University of Washington, Seattle, WA 98195, USA.
Allan E RettieDepartment of Medicinal Chemistry, University of Washington, Seattle, WA 98195, USA.
Alan F RubinBioinformatics Division, Walter and Eliza Hall Institute, Parkville, VIC 3052, Australia.
Renee C GeckDepartment of Genome Sciences, University of Washington, Seattle, WA 98195, USA.ORCID 0000-0001-7812-7675
Elizabeth M J GillamSchool of Chemistry and Molecular Biosciences, University of Queensland, Brisbane, QLD 4067, Australia.
William S DeWittDepartment of Electrical Engineering and Computer Science, University of California at Berkeley, Berkeley, CA 94720, USA.
Frederick A MatsenDepartment of Genome Sciences, University of Washington, Seattle, WA 98195, USA.
Douglas M FowlerDepartment of Genome Sciences, University of Washington, Seattle, WA 98195, USA.ORCID 0000-0001-7614-1713

Funding

Australian GovernmentHoward Hughes Medical InstituteMomental FoundationNational Human Genome Research Institute Interdisciplinary Training in Genome SciencesNational Institute of General Medical Sciences of the National Institutes of HealthNIHWashington Research Foundation Postdoctoral Fellowship
6 · The paper itself

Abstract

The cytochrome P450s enzyme family metabolizes ∼80% of small molecule drugs. Variants in cytochrome P450s can substantially alter drug metabolism, leading to improper dosing and severe adverse drug reactions. Due to low sequence conservation, predicting variant effects across cytochrome P450s is challenging. Even closely related cytochrome P450s like CYP2C9 and CYP2C19, which share 92% amino acid sequence identity, display distinct phenotypic properties. Using variant abundance by massively parallel sequencing, we measured the steady-state protein abundance of 7,660 single amino acid variants in CYP2C19 expressed in cultured human cells. Our findings confirmed critical positions and structural features essential for cytochrome P450 function, and revealed how variants at conserved positions influence abundance. We jointly analyzed 4,670 variants whose abundance was measured in both CYP2C19 and CYP2C9, finding that the homologs have different variant abundances in substrate recognition sites within the hydrophobic core. We also measured the abundance of all single and some multiple wild type amino acid exchanges between CYP2C19 and CYP2C9. While most exchanges had no effect, substitutions in substrate recognition site 4 reduced abundance in CYP2C19. Double and triple mutants showed distinct interactions, highlighting a region that points to differing thermodynamic properties between the 2 homologs. These positions are known contributors to substrate specificity, suggesting an evolutionary tradeoff between stability and enzymatic function. Finally, we analyzed 368 previously unannotated human variants, finding that 43% had decreased abundance. By comparing variant effects between these homologs, we uncovered regions underlying their functional differences, advancing our understanding of this versatile family of enzymes.

Indexed as

Cytochrome P-450 CYP2C19Cytochrome P-450 CYP2C9Amino Acid SubstitutionHEK293 CellsHigh-Throughput Nucleotide SequencingHumansMutationSubstrate SpecificityCYP2C19 protein, humanCYP2C9 protein, humanCytochrome P-450 CYP2C19Cytochrome P-450 CYP2C9cytochrome P450deep mutational scanningsubstrate specificitythermodynamic stability

Identifiers

PMID39319420
PMCPMC11538415

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.