ArticleLife science alliance2021
FIREWORKS: a bottom-up approach to integrative coessentiality network analysis.
Article in Life science alliance, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.
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Who cites it
36 citing papers in PubMed, 60 citations in OpenAlex.
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- Suppressive Genetic Interactions Between Haploinsufficient Mitochondrial Genes Encoded in the 22q11.2 Microdeletion Locus Define Brain and Cardiac Phenotypes.bioRxiv : the preprint server for biology · 2026Article
- A Co-essentiality Network of Cancer Driver Genes Better Prioritizes Anticancer Drugs.Genomics, proteomics & bioinformatics · 2025Article
- Context-aware gene dependency modeling via graph attention networks for precision oncology.Journal of translational medicine · 2025Article
- The present and future of the Cancer Dependency Map.Nature reviews. Cancer · 2025Review
- GeneCOCOA: Detecting context-specific functions of individual genes using co-expression data.PLoS computational biology · 2025Article
- Regulated N-glycosylation controls chaperone function and receptor trafficking.Science (New York, N.Y.) · 2024Article
- PRDX6 augments selenium utilization to limit iron toxicity and ferroptosis.Nature structural & molecular biology · 2024Article
- An HSF1-JMJD6-HSP feedback circuit promotes cell adaptation to proteotoxic stress.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- High-resolution genome-wide mapping of chromosome-arm-scale truncations induced by CRISPR-Cas9 editing.Nature genetics · 2024Article
- Genome-wide CRISPR screens identify novel regulators of wild-type and mutant p53 stability.Molecular systems biology · 2024Article
- Tight regulation of a nuclear HAPSTR1-HUWE1 pathway essential for mammalian life.Life science alliance · 2024Article
- Article
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- METTL17 is an Fe-S cluster checkpoint for mitochondrial translation.Molecular cell · 2024Article
- Systemic proteome phenotypes reveal defective metabolic flexibility in Mecp2 mutants.Human molecular genetics · 2023Article
- In vivo protein turnover rates in varying oxygen tensions nominate MYBBP1A as a mediator of the hyperoxia response.Science advances · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
Genetic coessentiality analysis, a computational approach which identifies genes sharing a common effect on cell fitness across large-scale screening datasets, has emerged as a powerful tool to identify functional relationships between human genes. However, widespread implementation of coessentiality to study individual genes and pathways is limited by systematic biases in existing coessentiality approaches and accessibility barriers for investigators without computational expertise. We created FIREWORKS, a method and interactive tool for the construction and statistical analysis of coessentiality networks centered around gene(s) provided by the user. FIREWORKS incorporates a novel bias reduction approach to reduce false discoveries, enables restriction of coessentiality analyses to custom subsets of cell lines, and integrates multiomic and drug-gene interaction datasets to investigate and target contextual gene essentiality. We demonstrate the broad utility of FIREWORKS through case vignettes investigating gene function and specialization, indirect therapeutic targeting of "undruggable" proteins, and context-specific rewiring of genetic networks.
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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.