Evidence map›Paper›PMID 37220749›Full record

ArticleCell systems2023

A multi-scale map of protein assemblies in the DNA damage response.

Anton Kratz, Minkyu Kim, Marcus R Kelly, Fan Zheng, Christopher A Koczor, Jianfeng Li, Keiichiro Ono, Yue Qin, Christopher Churas, Jing Chen and 9 more

Abstract read
In one paragraph

Article in Cell systems, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Using Biological Networks to Guide Biomedical Prediction.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  6. Review
  7. Article
  8. Review
  9. The DREAM complex links somatic mutation, lifespan, and disease.bioRxiv : the preprint server for biology · 2025
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Poly-ADP-ribosylation dynamics, signaling, and analysis.Environmental and molecular mutagenesis · 2024
    Review
  18. Article
  19. DNA damage-induced proteasome phosphorylation controls substrate recognition and facilitates DNA repair.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  20. 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

19 authors.

Anton KratzUniversity of California San Diego, Department of Medicine, San Diego, CA 92093, USA; The Cancer Cell Map Initiative, San Francisco and La Jolla, CA, USA.
Minkyu KimUniversity of California San Francisco, Department of Cellular and Molecular Pharmacology, San Francisco, CA 94158, USA; The J. David Gladstone Institute of Data Science and Biotechnology, San Francisco, CA 94158, USA; Quantitative Biosciences Institute, University of California San Francisco, San Francisco, CA 94158, USA; The Cancer Cell Map Initiative, San Francisco and La Jolla, CA, USA; University of Texas Health Science Center San Antonio, Department of Biochemistry and Structural Biology, San Antonio, TX 78229, USA.
Marcus R KellyUniversity of California San Diego, Department of Medicine, San Diego, CA 92093, USA.
Fan ZhengUniversity of California San Diego, Department of Medicine, San Diego, CA 92093, USA; The Cancer Cell Map Initiative, San Francisco and La Jolla, CA, USA.
Christopher A KoczorUniversity of South Alabama, Department of Pharmacology and Mitchell Cancer Institute, Mobile, AL 36604, USA.
Jianfeng LiUniversity of South Alabama, Department of Pharmacology and Mitchell Cancer Institute, Mobile, AL 36604, USA.
Keiichiro OnoUniversity of California San Diego, Department of Medicine, San Diego, CA 92093, USA.
Yue QinUniversity of California San Diego, Department of Medicine, San Diego, CA 92093, USA.
Christopher ChurasUniversity of California San Diego, Department of Medicine, San Diego, CA 92093, USA.
Jing ChenUniversity of California San Diego, Department of Medicine, San Diego, CA 92093, USA.
Rudolf T PillichUniversity of California San Diego, Department of Medicine, San Diego, CA 92093, USA.
Jisoo ParkUniversity of California San Diego, Department of Medicine, San Diego, CA 92093, USA; The Cancer Cell Map Initiative, San Francisco and La Jolla, CA, USA.
Maya ModakUniversity of California San Francisco, Department of Cellular and Molecular Pharmacology, San Francisco, CA 94158, USA; The J. David Gladstone Institute of Data Science and Biotechnology, San Francisco, CA 94158, USA; Quantitative Biosciences Institute, University of California San Francisco, San Francisco, CA 94158, USA; The Cancer Cell Map Initiative, San Francisco and La Jolla, CA, USA.
Rachel CollierUniversity of California San Diego, Department of Medicine, San Diego, CA 92093, USA.
Kate LiconUniversity of California San Diego, Department of Medicine, San Diego, CA 92093, USA.
Dexter PrattUniversity of California San Diego, Department of Medicine, San Diego, CA 92093, USA.
Robert W SobolUniversity of South Alabama, Department of Pharmacology and Mitchell Cancer Institute, Mobile, AL 36604, USA; Brown University, Department of Pathology and Laboratory Medicine and Legorreta Cancer Center, Providence, RI 02903, USA. Electronic address: rwsobol@brown.edu.
Nevan J KroganUniversity of California San Francisco, Department of Cellular and Molecular Pharmacology, San Francisco, CA 94158, USA; The J. David Gladstone Institute of Data Science and Biotechnology, San Francisco, CA 94158, USA; Quantitative Biosciences Institute, University of California San Francisco, San Francisco, CA 94158, USA; The Cancer Cell Map Initiative, San Francisco and La Jolla, CA, USA. Electronic address: nevan.krogan@ucsf.edu.
Trey IdekerUniversity of California San Diego, Department of Medicine, San Diego, CA 92093, USA; The Cancer Cell Map Initiative, San Francisco and La Jolla, CA, USA. Electronic address: tideker@health.ucsd.edu.

Funding

Bridge2AI: Cell Maps for AI (CM4AI) Data Generation ProjectOT2OD032742 · OD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Jean-Christophe Bélisle-Pipon, TIMOTHY W CLARK · 2022 to 2026
$21.5M
The Cancer Cell Map Initiative v2.0U54CA274502 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Emma Lundberg · 2022 to 2026
$14.2M
Using Networks to Seed Hierarchical Whole-cell Models of CancerU54CA209891 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ASHWORTH, ALAN · 2017 to 2021
$10.9M
A Systems Approach to Mapping the DNA Damage ResponseR01ES014811 · NIEHS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI IDEKER, TREY · 2005 to 2021
$8.6M
Predoctoral and Postdoctoral Training in Cancer Cell BiologyT32CA067754 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI JEAN Y.J. WANG · 1995 to 2026
$6.5M
CYTOSCAPE: AN ECOSYSTEM FOR NETWORK GENOMICSU24HG012107 · NHGRI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Jing Chen, PIETER C DORRESTEIN · 2022 to 2026
$6.5M
Novel approaches to enhance tumor cell cytotoxicity of alkylating agentsR01CA148629 · NCI · UNIVERSITY OF SOUTH ALABAMA · PI SOBOL, ROBERT W · 2010 to 2021
$3.4M
Investigating genetic ancestry influences on oral cavity and laryngeal cancer survival disparitiesR01CA238061 · NCI · RESEARCH INST OF FOX CHASE CAN CTR · PI RAGIN, CAMILLE C., SOBOL, ROBERT W · 2019 to 2023
$3.4M
Measuring genomic DNA damage and DNA repair capacity in longitudinal population samples - a step towards precision preventionU01ES029518 · NIEHS · UNIVERSITY OF SOUTH ALABAMA · PI SOBOL, ROBERT W · 2018 to 2022
$2.7M
A visible machine learning system to discover targeted treatment solutions in cancerK00CA264422 · NCI · BROAD INSTITUTE, INC. · PI Yue Qin · 2023 to 2026
$395k
A visible machine learning system to discover targeted treatment solutions in cancerF99CA264422 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI QIN, YUE · 2021 to 2022
$80k
NCI NIH HHS F99 CA264422NCI NIH HHS K00 CA264422NCI NIH HHS R01 CA148629NCI NIH HHS R01 CA238061NCI NIH HHS T32 CA067754NCI NIH HHS U54 CA209891NCI NIH HHS U54 CA274502NHGRI NIH HHS U24 HG012107NIEHS NIH HHS R01 ES014811NIEHS NIH HHS U01 ES029518NIH HHS OT2 OD032742
6 · The paper itself

Abstract

The DNA damage response (DDR) ensures error-free DNA replication and transcription and is disrupted in numerous diseases. An ongoing challenge is to determine the proteins orchestrating DDR and their organization into complexes, including constitutive interactions and those responding to genomic insult. Here, we use multi-conditional network analysis to systematically map DDR assemblies at multiple scales. Affinity purifications of 21 DDR proteins, with/without genotoxin exposure, are combined with multi-omics data to reveal a hierarchical organization of 605 proteins into 109 assemblies. The map captures canonical repair mechanisms and proposes new DDR-associated proteins extending to stress, transport, and chromatin functions. We find that protein assemblies closely align with genetic dependencies in processing specific genotoxins and that proteins in multiple assemblies typically act in multiple genotoxin responses. Follow-up by DDR functional readouts newly implicates 12 assembly members in double-strand-break repair. The DNA damage response assemblies map is available for interactive visualization and query (ccmi.org/ddram/).

Indexed as

ChromatinDNA RepairDNA DamageChromatinDNA damage responsedouble-strand break repairmulti-omicsprotein assembliesprotein networkssingle-strand break repairsystems biologyvisualization

Identifiers

PMID37220749
PMCPMC10330685

What Socratic holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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 Socratic graph.