Evidence map›Paper›PMID 40963025›Full record

ArticleNature2025

Covariation MS uncovers a protein that controls cysteine catabolism.

Haopeng Xiao, Martha Ordonez, Emma C Fink, Taylor A Covington, Hilina B Woldemichael, Junyi Chen, Mika Sarkin Jain, Milan H Rohatgi, Shelley M Wei, Nils Burger and 21 more

Abstract read
In one paragraph

Article in Nature, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

31 authors.

Haopeng Xiao *Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA. hpxiao@stanford.edu.ORCID 0000-0002-4166-647X
Martha Ordonez *Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA.
Emma C Fink *Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA.
Taylor A CovingtonDepartment of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA.
Hilina B WoldemichaelDepartment of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA.ORCID 0009-0005-7494-6127
Junyi ChenDepartment of Biochemistry, Stanford University School of Medicine, Stanford, CA, USA.ORCID 0000-0001-7453-6623
Mika Sarkin JainDepartment of Computer Science, Stanford University, Stanford, CA, USA.
Milan H RohatgiDepartment of Computer Science, Stanford University, Stanford, CA, USA.ORCID 0009-0004-4426-4814
Shelley M WeiDepartment of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA.ORCID 0009-0002-8359-1880
Nils BurgerDepartment of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA.
Muneeb A SharifDepartment of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA.
Julius JanDepartment of Biochemistry, Stanford University School of Medicine, Stanford, CA, USA.
Yaoyu WangDepartment of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA.ORCID 0000-0002-0178-296X
Jonathan J PetrocelliDepartment of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA.
Katherine BlackmoreDepartment of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA.
Amanda L SmythersDepartment of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA.ORCID 0000-0002-1552-6705
Bingsen ZhangDepartment of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA.ORCID 0000-0001-8119-1715
Matthew GilbertDepartment of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA.
Hakyung CheongDepartment of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA.ORCID 0009-0001-3330-3126
Sumeet A KhetarpalDepartment of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA.
Arianne SmithDepartment of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA.
Dina BogoslavskiDepartment of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA.
Yu LeiDepartment of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA.
Laura Pontano VaitesDepartment of Cell Biology, Harvard Medical School, Boston, MA, USA.
Fiona E McAllisterCalico Life Sciences, South San Francisco, CA, USA.ORCID 0000-0002-7862-6711
Nick Van BruggenCalico Life Sciences, South San Francisco, CA, USA.
Katherine A DonovanDepartment of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA.
Edward L HuttlinDepartment of Cell Biology, Harvard Medical School, Boston, MA, USA.ORCID 0000-0002-1822-1173
Evanna L MillsDepartment of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Boston, MA, USA.ORCID 0000-0003-0447-8995
Eric S FischerDepartment of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA.
Edward T ChouchaniDepartment of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA. edwardt_chouchani@dfci.harvard.edu.ORCID 0000-0002-9776-8790

Funding

Medical Scientist Training ProgramT32GM144273 · NIGMS · HARVARD MEDICAL SCHOOL · PI David Shumway Jones, Jacqueline A. Lees · 2022 to 2026
$14.7M
Training Program in Molecular HematologyT32HL116324 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI NANCY BERLINER · 2013 to 2026
$7.4M
Systematic Exploration of the Human Interactome IVU24HG006673 · NHGRI · HARVARD MEDICAL SCHOOL · PI GYGI, STEVEN P, HARPER, JEFFREY W · 2018 to 2025
$6.0M
Determining mechanisms of the succinate thermogenesis pathways on UCP1-dependent and UCP1-independent thermogenesisR01DK123095 · NIDDK · DANA-FARBER CANCER INST · PI Edward Thomas Chouchani · 2019 to 2026
$4.2M
Defining the landscape and mechanisms of protein redox regulation during agingR01AG071966 · NIA · DANA-FARBER CANCER INST · PI Edward Thomas Chouchani · 2022 to 2026
$2.9M
Defining the landscape and mechanisms of redox regulation of metabolism during agingR00AG073461 · NIA · STANFORD UNIVERSITY · PI Haopeng Xiao · 2025 to 2026
$497k
Defining the landscape and mechanisms of protein redox regulation during agingR56AG071966 · NIA · DANA-FARBER CANCER INST · PI CHOUCHANI, EDWARD THOMAS · 2021 to 2021
$344k
Elucidating the Mechanisms of Translational Approaches to Enhance Recovery of Aged MuscleK00AG073493 · NIA · DANA-FARBER CANCER INST · PI Jonathan Joseph Petrocelli · 2023 to 2026
$320k
Defining the landscape and mechanisms of redox regulation of metabolism during agingK99AG073461 · NIA · DANA-FARBER CANCER INST · PI XIAO, HAOPENG · 2022 to 2023
$220k
NHGRI NIH HHS U24 HG006673NHLBI NIH HHS T32 HL116324NIA NIH HHS K00 AG073493NIA NIH HHS K99 AG073461NIA NIH HHS L30 AG088070NIA NIH HHS R00 AG073461NIA NIH HHS R01 AG071966NIA NIH HHS R56 AG071966NIDDK NIH HHS R01 DK123095NIGMS NIH HHS T32 GM144273
6 · The paper itself

Abstract

The regulation of metabolic processes by proteins is fundamental to biology and yet is incompletely understood. Here we develop a mass spectrometry (MS)-based approach that leverages genetic diversity to nominate functional relationships between 285 metabolites and 11,868 proteins in living tissues. This method recapitulates protein-metabolite functional relationships mediated by direct physical interactions and local metabolic pathway regulation while nominating 3,542 previously undescribed relationships. With this foundation, we identify a mechanism of regulation over liver cysteine utilization and cholesterol handling, regulated by the poorly characterized protein LRRC58. We show that LRRC58 is the substrate adaptor of an E3 ubiquitin ligase that mediates proteasomal degradation of CDO1, the rate-limiting enzyme of the catabolic shunt of cysteine to taurine

Indexed as

CysteineMass SpectrometryProteasome Endopeptidase ComplexAnimalsCholesterolCysteine DioxygenaseFemaleHepatocytesHumansLiverMaleMiceMice, Inbred C57BLProteolysisTaurineUbiquitin-Protein LigasesCholesterolCysteineCysteine DioxygenaseProteasome Endopeptidase ComplexTaurineUbiquitin-Protein Ligases

Identifiers

PMID40963025
PMCPMC12589099

What OpenQuestion holds

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Read underepoch 390

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.