ArticleLife science alliance2019
A network of human functional gene interactions from knockout fitness screens in cancer cells.
Article in Life science alliance, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.
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Who cites it
58 citing papers in PubMed, 103 citations in OpenAlex.
- Article
- Catalytic Inhibition of p300 Preferentially Targets IRF4 Oncogenic Activity and Tumor Growth in Multiple Myeloma.Cancer research · 2026Article
- Functional modules predict cancer-relevant genetic interactions in mammalian cells.bioRxiv : the preprint server for biology · 2025Article
- Exploring the omnigenic architecture of selected complex traits.American journal of human genetics · 2025Article
- A global genetic interaction map of a human cell reveals conserved principles of genetic networks.bioRxiv : the preprint server for biology · 2025Article
- Co-essentiality analysis identifies PRR12 as a cohesin interacting protein and contributor to genomic integrity.Developmental cell · 2025Article
- A STAG2-PAXIP1/PAGR1 axis suppresses lung tumorigenesis.The Journal of experimental medicine · 2025Article
- Mapping in silico genetic networks of the KMT2D tumour suppressor gene to uncover novel functional associations and cancer cell vulnerabilities.Genome medicine · 2024Article
- Functional genomic analysis of genes important for Candida albicans fitness in diverse environmental conditions.Cell reports · 2024Article
- Mapping of DDX11 genetic interactions defines sister chromatid cohesion as the major dependency.G3 (Bethesda, Md.) · 2024Article
- Tight regulation of a nuclear HAPSTR1-HUWE1 pathway essential for mammalian life.Life science alliance · 2024Article
- Dimensionality reduction methods for extracting functional networks from large-scale CRISPR screens.Molecular systems biology · 2023Article
- CRISPR screens in sister chromatid cohesion defective cells reveal PAXIP1-PAGR1 as regulator of chromatin association of cohesin.Nucleic acids research · 2023Article
- Partial gene suppression improves identification of cancer vulnerabilities when CRISPR-Cas9 knockout is pan-lethal.Genome biology · 2023Article
- Context-defined cancer co-dependency mapping identifies a functional interplay between PRC2 and MLL-MEN1 complex in lymphoma.Nature communications · 2023Article
- GRETTA: an R package for mapping in silico genetic interaction and essentiality networks.Bioinformatics (Oxford, England) · 2023Article
- Global analysis of the yeast knockout phenome.Science advances · 2023Article
- A global genetic interaction network by single-cell imaging and machine learning.Cell systems · 2023Article
- Systematic elucidation of genetic mechanisms underlying cholesterol uptake.Cell genomics · 2023Article
- Mapping the landscape of genetic dependencies in chordoma.Nature communications · 2023Article
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
Abstract
Genetic interactions mediate the emergence of phenotype from genotype. The systematic survey of genetic interactions in yeast showed that genes operating in the same biological process have highly correlated genetic interaction profiles, and this observation has been exploited to infer gene function in model organisms. Such assays of digenic perturbations in human cells are also highly informative, but are not scalable, even with CRISPR-mediated methods. As an alternative, we developed an indirect method of deriving functional interactions. We show that genes having correlated knockout fitness profiles across diverse, non-isogenic cell lines are analogous to genes having correlated genetic interaction profiles across isogenic query strains and similarly imply shared biological function. We constructed a network of genes with correlated fitness profiles across 276 high-quality CRISPR knockout screens in cancer cell lines into a "coessentiality network," with up to 500-fold enrichment for co-functional gene pairs, enabling strong inference of gene function and highlighting the modular organization of the cell.
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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.