Evidence map›Paper›PMID 39468056›Full record

ArticleNature communications2024

Chemoproteogenomic stratification of the missense variant cysteinome.

Heta Desai, Katrina H Andrews, Kristina V Bergersen, Samuel Ofori, Fengchao Yu, Flowreen Shikwana, Mark A Arbing, Lisa M Boatner, Miranda Villanueva, Nicholas Ung and 3 more

Abstract read
In one paragraph

Article in Nature communications, 2024. 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.

  1. Review
  2. Article
  3. Article
  4. Proteoforms as the true units of physiological function.European journal of applied physiology · 2026
    Review
  5. Article
  6. Article
  7. Article
  8. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Heta DesaiBiological Chemistry Department, David Geffen School of Medicine, UCLA, Los Angeles, CA, USA.ORCID 0000-0003-4362-1707
Katrina H AndrewsBiological Chemistry Department, David Geffen School of Medicine, UCLA, Los Angeles, CA, USA.
Kristina V BergersenDepartment of Pathology and Laboratory Medicine, David Geffen School of Medicine, UCLA, Los Angeles, CA, USA.
Samuel OforiBiological Chemistry Department, David Geffen School of Medicine, UCLA, Los Angeles, CA, USA.
Fengchao YuDepartment of Pathology, University of Michigan, Ann Arbor, MI, USA.ORCID 0000-0002-7695-3698
Flowreen ShikwanaBiological Chemistry Department, David Geffen School of Medicine, UCLA, Los Angeles, CA, USA.
Mark A ArbingBiological Chemistry Department, David Geffen School of Medicine, UCLA, Los Angeles, CA, USA.
Lisa M BoatnerBiological Chemistry Department, David Geffen School of Medicine, UCLA, Los Angeles, CA, USA.ORCID 0000-0003-0757-4982
Miranda VillanuevaBiological Chemistry Department, David Geffen School of Medicine, UCLA, Los Angeles, CA, USA.ORCID 0000-0002-4892-8356
Nicholas UngBiological Chemistry Department, David Geffen School of Medicine, UCLA, Los Angeles, CA, USA.
Elaine F ReedDepartment of Pathology and Laboratory Medicine, David Geffen School of Medicine, UCLA, Los Angeles, CA, USA.
Alexey I NesvizhskiiDepartment of Pathology, University of Michigan, Ann Arbor, MI, USA.ORCID 0000-0002-2806-7819
Keriann M BackusBiological Chemistry Department, David Geffen School of Medicine, UCLA, Los Angeles, CA, USA. kbackus@mednet.ucla.edu.ORCID 0000-0001-8541-1404

Funding

COMPUTATIONAL TOOLS FOR MASS SPECTROMETRY-BASED INTERACTOME DATAR01GM094231 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Alexey I Nesvizhskii · 2010 to 2026
$5.4M
Michigan Center for Translational Cancer Proteogenomics-Diversity SupplementU24CA271037 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Saravana Mohan Dhanasekaran, Alexey I Nesvizhskii · 2022 to 2026
$4.4M
Training CoreTL1DK132768 · NIDDK · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Elizabeta Nemeth · 2021 to 2026
$3.4M
Chemistry Biology Interface Training ProgramT32GM136614 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Patrick G. Harran · 2020 to 2026
$2.8M
Arnold and Mabel Beckman Foundation Beckman Ynoung Investigator AwardNCI NIH HHS U24 CA271037NIDDK NIH HHS TL1 DK132768NIGMS NIH HHS R01 GM094231NIGMS NIH HHS T32 GM136614UC | UCLA | Jonsson Comprehensive Cancer Center (UCLA Jonsson Comprehensive Cancer Center) Seed GrantU.S. Department of Energy (DOE) DE-FC02-02ER63421U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) U24-CA271037U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS) R01-GM094231U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS) T32GM136614V Foundation for Cancer Research (V Foundation) V2019-017
6 · The paper itself

Abstract

Cancer genomes are rife with genetic variants; one key outcome of this variation is widespread gain-of-cysteine mutations. These acquired cysteines can be both driver mutations and sites targeted by precision therapies. However, despite their ubiquity, nearly all acquired cysteines remain unidentified via chemoproteomics; identification is a critical step to enable functional analysis, including assessment of potential druggability and susceptibility to oxidation. Here, we pair cysteine chemoproteomics-a technique that enables proteome-wide pinpointing of functional, redox sensitive, and potentially druggable residues-with genomics to reveal the hidden landscape of cysteine genetic variation. Our chemoproteogenomics platform integrates chemoproteomic, whole exome, and RNA-seq data, with a customized two-stage false discovery rate (FDR) error controlled proteomic search, which is further enhanced with a user-friendly FragPipe interface. Chemoproteogenomics analysis reveals that cysteine acquisition is a ubiquitous feature of both healthy and cancer genomes that is further elevated in the context of decreased DNA repair. Reference cysteines proximal to missense variants are also found to be pervasive, supporting heretofore untapped opportunities for variant-specific chemical probe development campaigns. As chemoproteogenomics is further distinguished by sample-matched combinatorial variant databases and is compatible with redox proteomics and small molecule screening, we expect widespread utility in guiding proteoform-specific biology and therapeutic discovery.

Indexed as

CysteineMutation, MissenseProteomicsDNA RepairGenomicsHumansNeoplasmsOxidation-ReductionProteomeCysteineProteome

Identifiers

PMID39468056
PMCPMC11519605

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.