ArticleMolecular systems biology2013
A negative genetic interaction map in isogenic cancer cell lines reveals cancer cell vulnerabilities.
Article in Molecular systems biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers, 1 of them a synthesis that pooled it.
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Who cites it
57 citing papers in PubMed, 1 synthesis or guideline pooled it, 104 citations in OpenAlex.
- Synthetic lethal gene pairs: Experimental approaches and predictive models.Frontiers in genetics · 2022Pooled it
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- Epigenetic control of telomeric RNA maintains heterochromatin in telomerase-driven cancers.Signal transduction and targeted therapy · 2026Article
- Synthetic lethality in cancer drug discovery: challenges and opportunities.Nature reviews. Drug discovery · 2026Review
- A novel role for Neurog2 in MYCN driven neuroendocrine plasticity of prostate cancer.Oncogene · 2025Article
- A global genetic interaction map of a human cell reveals conserved principles of genetic networks.bioRxiv : the preprint server for biology · 2025Article
- Identification of targetable vulnerabilities of PLK1-overexpressing cancers by synthetic dosage lethality.Cell genomics · 2025Article
- Pathway-driven analysis of synthetic lethal interactions in cancer using perturbation screens.Life science alliance · 2024Article
- Analyzing the interactome of human CK2β in prostate carcinoma cells reveals HSP70-1 and Rho guanin nucleotide exchange factor 12 as novel interaction partners.FASEB bioAdvances · 2023Article
- Destabilized 3'UTR elements therapeutically degrade ERBB2 mRNA in drug-resistant ERBB2+ cancer models.Frontiers in genetics · 2023Article
- Homoharringtonine demonstrates a cytotoxic effect against triple-negative breast cancer cell lines and acts synergistically with paclitaxel.Scientific reports · 2022Article
- SLOAD: a comprehensive database of cancer-specific synthetic lethal interactions for precision cancer therapy via multi-omics analysis.Database : the journal of biological databases and curation · 2022Article
- Computational methods, databases and tools for synthetic lethality prediction.Briefings in bioinformatics · 2022Review
- Identification of novel genes involved in apoptosis of HIV-infected macrophages using unbiased genome-wide screening.BMC infectious diseases · 2021Article
- Exploring Candidate Human Synthetic Lethal Interactions Through siRNA and Quantitative Imaging-Based Approaches.Methods in molecular biology (Clifton, N.J.) · 2021Article
- The CINs of Polo-Like Kinase 1 in Cancer.Cancers · 2020Review
- Overcoming cisplatin resistance by targeting the MTDH-PTEN interaction in ovarian cancer with sera derived from rats exposed to Guizhi Fuling wan extract.BMC complementary medicine and therapies · 2020Article
- Genetic screens in isogenic mammalian cell lines without single cell cloning.Nature communications · 2020Article
- G2G: A web-server for the prediction of human synthetic lethal interactions.Computational and structural biotechnology journal · 2020Article
- Genetic Interaction-Based Biomarkers Identification for Drug Resistance and Sensitivity in Cancer Cells.Molecular therapy. Nucleic acids · 2019Article
Corrections and comments
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Authors and funding
32 authors at 9 institutions in 2 countries.
Funding
Abstract
Improved efforts are necessary to define the functional product of cancer mutations currently being revealed through large-scale sequencing efforts. Using genome-scale pooled shRNA screening technology, we mapped negative genetic interactions across a set of isogenic cancer cell lines and confirmed hundreds of these interactions in orthogonal co-culture competition assays to generate a high-confidence genetic interaction network of differentially essential or differential essentiality (DiE) genes. The network uncovered examples of conserved genetic interactions, densely connected functional modules derived from comparative genomics with model systems data, functions for uncharacterized genes in the human genome and targetable vulnerabilities. Finally, we demonstrate a general applicability of DiE gene signatures in determining genetic dependencies of other non-isogenic cancer cell lines. For example, the PTEN(-/-) DiE genes reveal a signature that can preferentially classify PTEN-dependent genotypes across a series of non-isogenic cell lines derived from the breast, pancreas and ovarian cancers. Our reference network suggests that many cancer vulnerabilities remain to be discovered through systematic derivation of a network of differentially essential genes in an isogenic cancer cell model.
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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.