Evidence map›Paper›PMID 40469117›Full record

ArticleiScience2025

DNA-damage-associated protein co-expression network in cardiomyocytes informs on tolerance to genetic variation and disease.

Omar Darrel Johnson, Sayan Paul, José Angel Gutiérrez, William Kent Russell, Michelle Claire Ward

Abstract read
In one paragraph

Article in iScience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Omar Darrel JohnsonBiochemistry, Cellular and Molecular Biology Graduate Program, University of Texas Medical Branch, Galveston, TX 77555, USA.
Sayan PaulDepartment of Biochemistry and Molecular Biology, University of Texas Medical Branch, Galveston, TX 77555, USA.
José Angel GutiérrezDepartment of Biochemistry and Molecular Biology, University of Texas Medical Branch, Galveston, TX 77555, USA.
William Kent RussellDepartment of Biochemistry and Molecular Biology, University of Texas Medical Branch, Galveston, TX 77555, USA.
Michelle Claire WardDepartment of Biochemistry and Molecular Biology, University of Texas Medical Branch, Galveston, TX 77555, USA.

Funding

Dynamic regulatory impact of human transposable elements on gene expressionR35GM150459 · NIGMS · UNIVERSITY OF TEXAS MED BR GALVESTON · PI Michelle Claire Ward · 2023 to 2026
$1.5M
NIGMS NIH HHS R35 GM150459
6 · The paper itself

Abstract

Cardiovascular disease (CVD) is associated with genetic variants and environmental factors. A consequence of multiple risk factors is DNA damage. To examine how DNA damage influences the cardiomyocyte proteome and its relationship to CVD risk, we treated human induced pluripotent stem cell (iPSC)-derived cardiomyocytes with the DNA-damaging agent doxorubicin (DOX). A network constructed from 4,178 proteins reveals 12 co-expressed modules with 403 hub proteins. Five modules correlate with DOX and associate with RNA processing, chromatin regulation, and metabolism. DOX-correlated hub proteins are depleted for proteins that vary in expression across individuals due to genetic variation but are enriched for proteins encoded by loss-of-function intolerant genes. While not enriched for known CVD risk proteins, DOX-correlated hub proteins are enriched for the physical protein interactors of CVD risk proteins. These data demonstrate that protein connectivity in DNA-damage-associated modules influences the tolerance to genetic variation and supports the use of dynamic networks to explore complex traits.

Indexed as

Integrative aspects of cell biologyMolecular networkProteomics

Identifiers

PMID40469117
PMCPMC12135479

What Socratic holds

Textmetadata
LicenceCC BY
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.