ArticleNature chemical biology2024
Functional genomic screens with death rate analyses reveal mechanisms of drug action.
Article in Nature chemical biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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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.
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.
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Who cites it
10 citing papers in PubMed, 7 citations in OpenAlex.
- Deciphering the rules of regulated cell death subroutines by in silico methods.Journal of advanced research · 2026Review
- Genome-wide profiling identifies the genetic dependencies of cell death following EGFR inhibition.The Journal of biological chemistry · 2026Article
- Unlocking caspase-8 enables Pt(IV) to trigger robust caspase-3/GSDME-mediated pyroptosis via drug co-delivery in chemoresistant bladder cancer.Journal of nanobiotechnology · 2026Article
- Remodeling the tumor immune microenvironment: mechanisms of crosstalk between regulated cell death macrophages.Frontiers in immunology · 2026Review
- Article
- Comprehensive Analysis of Drug Response using the FLICK Assay.Journal of visualized experiments : JoVE · 2025Article
- MEDUSA for Identifying Death Regulatory Genes in Chemo-genetic Profiling Data.Journal of visualized experiments : JoVE · 2025Article
- Functional genomics reveals an off-target dependency of drug synergy in gastric cancer therapy.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2024Article
- The death gaze of MEDUSA.Nature chemical biology · 2024Article
- Dynamic death decisions: How mitochondrial dynamics shape cellular commitment to apoptosis and ferroptosis.Developmental cell · 2024Review
Corrections and comments
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Authors and funding
13 authors at 3 institutions in 2 countries.
Funding
Abstract
A common approach for understanding how drugs induce their therapeutic effects is to identify the genetic determinants of drug sensitivity. Because 'chemo-genetic profiles' are performed in a pooled format, inference of gene function is subject to several confounding influences related to variation in growth rates between clones. In this study, we developed Method for Evaluating Death Using a Simulation-assisted Approach (MEDUSA), which uses time-resolved measurements, along with model-driven constraints, to reveal the combination of growth and death rates that generated the observed drug response. MEDUSA is uniquely effective at identifying death regulatory genes. We apply MEDUSA to characterize DNA damage-induced lethality in the presence and absence of p53. Loss of p53 switches the mechanism of DNA damage-induced death from apoptosis to a non-apoptotic death that requires high respiration. These findings demonstrate the utility of MEDUSA both for determining the genetic dependencies of lethality and for revealing opportunities to potentiate chemo-efficacy in a cancer-specific manner.
Indexed as
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What OpenQuestion holds
Registered trials
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.