ArticleeLife2015
A map of directional genetic interactions in a metazoan cell.
Article in eLife, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.
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Who cites it
49 citing papers in PubMed.
- Large-scale mapping of environmental-genetic interactions illustrates the dynamic nature of cell-cycle and DNA repair regulation.Molecular cell · 2026Article
- Quantitative analysis of genetic interactions in human cells from genome-wide CRISPR-Cas9 screens.bioRxiv : the preprint server for biology · 2026Article
- BaCoN (Balanced Correlation Network) improves prediction of gene buffering.Molecular systems biology · 2025Article
- Attention-based deep learning for accurate cell image analysis.Scientific reports · 2025Article
- Feature selection by replicate reproducibility and non-redundancy.Bioinformatics (Oxford, England) · 2024Article
- Article
- A global genetic interaction network by single-cell imaging and machine learning.Cell systems · 2023Article
- Combinatorial GxGxE CRISPR screen identifies SLC25A39 in mitochondrial glutathione transport linking iron homeostasis to OXPHOS.Nature communications · 2022Article
- Article
- Article
- Application of Artificial Intelligence in Discovery and Development of Anticancer and Antidiabetic Therapeutic Agents.Evidence-based complementary and alternative medicine : eCAM · 2022Review
- Paralog knockout profiling identifies DUSP4 and DUSP6 as a digenic dependence in MAPK pathway-driven cancers.Nature genetics · 2021Article
- GWAS of three molecular traits highlights core genes and pathways alongside a highly polygenic background.eLife · 2021Article
- Genetic interaction profiles of regulatory kinases differ between environmental conditions and cellular states.Molecular systems biology · 2020Article
- Mapping the perturbome network of cellular perturbations.Nature communications · 2019Article
- Mapping genetic interactions in cancer: a road to rational combination therapies.Genome medicine · 2019Review
- From observing to predicting single-cell structure and function with high-throughput/high-content microscopy.Essays in biochemistry · 2019Review
- WDR5, BRCA1, and BARD1 Co-regulate the DNA Damage Response and Modulate the Mesenchymal-to-Epithelial Transition during Early Reprogramming.Stem cell reports · 2019Article
- Improved discovery of genetic interactions using CRISPRiSeq across multiple environments.Genome research · 2019Article
- Review
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Gene-gene interactions shape complex phenotypes and modify the effects of mutations during development and disease. The effects of statistical gene-gene interactions on phenotypes have been used to assign genes to functional modules. However, directional, epistatic interactions, which reflect regulatory relationships between genes, have been challenging to map at large-scale. Here, we used combinatorial RNA interference and automated single-cell phenotyping to generate a large genetic interaction map for 21 phenotypic features of Drosophila cells. We devised a method that combines genetic interactions on multiple phenotypes to reveal directional relationships. This network reconstructed the sequence of protein activities in mitosis. Moreover, it revealed that the Ras pathway interacts with the SWI/SNF chromatin-remodelling complex, an interaction that we show is conserved in human cancer cells. Our study presents a powerful approach for reconstructing directional regulatory networks and provides a resource for the interpretation of functional consequences of genetic alterations.
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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.