ArticleNature methods2013
Mapping genetic interactions in human cancer cells with RNAi and multiparametric phenotyping.
Article in Nature methods, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers, 1 of them a synthesis that pooled it.
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Who cites it
83 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Synthetic lethal gene pairs: Experimental approaches and predictive models.Frontiers in genetics · 2022Pooled it
- Quantitative analysis of genetic interactions in human cells from genome-wide CRISPR-Cas9 screens.bioRxiv : the preprint server for biology · 2026Article
- On the importance of simultaneous label-free multimodal nonlinear optical imaging for biomedical applications.APL photonics · 2025Article
- Cell Cycle-Based Molecular Features via Synthetic Lethality and Non-Coding RNA Interactions in Cancer.Genes · 2025Article
- A multilineage screen identifies actionable synthetic lethal interactions in human cancers.Nature genetics · 2025Article
- R-Based Protocols to Predict Synthetic Lethal Interactions in Cancers Using Machine Learning Tools.Methods in molecular biology (Clifton, N.J.) · 2025Article
- Feature selection by replicate reproducibility and non-redundancy.Bioinformatics (Oxford, England) · 2024Article
- MAGICAL: A multi-class classifier to predict synthetic lethal and viable interactions using protein-protein interaction network.PLoS computational biology · 2024Article
- Integrating single-cell transcriptomics with cellular phenotypes: cell morphology, CaBiophysical reviews · 2024Review
- Article
- A variegated model of transcription factor function in the immune system.Trends in immunology · 2023Review
- A global genetic interaction network by single-cell imaging and machine learning.Cell systems · 2023Article
- 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
- Regulation of the COPII secretory machinery via focal adhesions and extracellular matrix signaling.The Journal of cell biology · 2022Article
- A Yeast BiFC-seq Method for Genome-wide Interactome Mapping.Genomics, proteomics & bioinformatics · 2022Article
- From systems to structure - using genetic data to model protein structures.Nature reviews. Genetics · 2022Review
- Computational methods, databases and tools for synthetic lethality prediction.Briefings in bioinformatics · 2022Review
- Literature-based translation from synthetic lethality screening into therapeutics targets: CD82 is a novel target forComputational and structural biotechnology journal · 2022Article
- A systematic analysis of genetic interactions and their underlying biology in childhood cancer.Communications biology · 2021Article
- Network Analysis Reveals Synergistic Genetic Dependencies for Rational Combination Therapy in Philadelphia Chromosome-Like Acute Lymphoblastic Leukemia.Clinical cancer research : an official journal of the American Association for Cancer Research · 2021Article
23 more citing papers are in PubMed but not listed here.
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5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Genetic interactions influence many phenotypes and can be used as a powerful experimental tool to discover functional relationships between genes. Here we describe a robust and scalable method to systematically map genetic interactions in human cancer cells using combinatorial RNAi and high-throughput imaging. Through automated, single-cell phenotyping, we measured genetic interactions across a broad spectrum of phenotypes, including cell count, cell eccentricity and nuclear area. We mapped genetic interactions of epigenetic regulators in colon cancer cells, recovering known protein complexes. Our study also revealed the prospects and challenges of studying genetic interactions in human cells using multiparametric phenotyping.
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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.