Evidence map›Paper›PMID 36339253›Full record

ArticleiScience2022

Processes in DNA damage response from a whole-cell multi-omics perspective.

James C Pino, Alexander L R Lubbock, Leonard A Harris, Danielle B Gutierrez, Melissa A Farrow, Nicole Muszynski, Tina Tsui, Stacy D Sherrod, Jeremy L Norris, John A McLean and 3 more

Abstract read
In one paragraph

Article in iScience, 2022. 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. Integrating multi-omics data for next-generation cancer research and precision medicine.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
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

13 authors.

James C PinoChemical and Physical Biology Graduate Program, Vanderbilt University, Nashville, TN, USA.
Alexander L R LubbockDepartment of Biochemistry, Vanderbilt University School of Medicine, Nashville, TN, USA.
Leonard A HarrisDepartment of Biomedical Engineering, University of Arkansas, Fayetteville, AR, USA.
Danielle B GutierrezDepartment of Biochemistry, Vanderbilt University School of Medicine, Nashville, TN, USA.
Melissa A FarrowDepartment of Pathology, Microbiology, and Immunology, Vanderbilt University School of Medicine, Nashville, TN, USA.
Nicole MuszynskiDepartment of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA.
Tina TsuiDepartment of Biochemistry, Vanderbilt University School of Medicine, Nashville, TN, USA.
Stacy D SherrodVanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA.
Jeremy L NorrisDepartment of Biochemistry, Vanderbilt University School of Medicine, Nashville, TN, USA.
John A McLeanVanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA.
Richard M CaprioliDepartment of Biochemistry, Vanderbilt University School of Medicine, Nashville, TN, USA.
John P WikswoDepartment of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA.
Carlos F LopezDepartment of Biochemistry, Vanderbilt University School of Medicine, Nashville, TN, USA.

Funding

Uncovering the molecular networks underlying non-genetic heterogeneity in cancer cell populationsK22CA237857 · NCI · UNIVERSITY OF ARKANSAS AT FAYETTEVILLE · PI HARRIS, LEONARD ALFREDO L. · 2020 to 2022
$563k
NCI NIH HHS K22 CA237857
6 · The paper itself

Abstract

Technological advances have made it feasible to collect multi-condition multi-omic time courses of cellular response to perturbation, but the complexity of these datasets impedes discovery due to challenges in data management, analysis, visualization, and interpretation. Here, we report a whole-cell mechanistic analysis of HL-60 cellular response to bendamustine. We integrate both enrichment and network analysis to show the progression of DNA damage and programmed cell death over time in molecular, pathway, and process-level detail using an interactive analysis framework for multi-omics data. Our framework, Mechanism of Action Generator Involving Network analysis (MAGINE), automates network construction and enrichment analysis across multiple samples and platforms, which can be integrated into our annotated gene-set network to combine the strengths of networks and ontology-driven analysis. Taken together, our work demonstrates how multi-omics integration can be used to explore signaling processes at various resolutions and demonstrates multi-pathway involvement beyond the canonical bendamustine mechanism.

Indexed as

BioinformaticsComplex system biologyData processing in systems biologySystems biology

Identifiers

PMID36339253
PMCPMC9633746

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.