Genetic interaction analysis by combinatorial genetic perturbation and high-throughput imaging maps time- and context-dependent crosstalk between signaling pathways.

First comprehensive analysis of how many different mutations combine within and between two genes to alter a molecular phenotype.

Computational approach to identify reproducible genetic interactions in cancer reveals that they are enriched among protein–protein interaction pairs.

A systematic analysis of gene–gene dependencies using high-throughput imaging of cells detects causal and temporal relationships between genes.

A post-translational modification called O-GlcNAcylation modulates the activity of the SOX2 transcription factor in pluripotent stem cells.

Promoter capture Hi-C in human iPSCs and iPSC-derived cardiomyocytes provides a platform to interrogate gene-regulatory dynamics of cardiomyocyte differentiation and directly links thousands of cardiovascular disease risk loci to hundreds of distal target genes.

A new mathematical approach can infer higher order genetic interactions from pairwise fitness comparisons between genotypes.

Analysis of the global genetic requirements and gene expression changes in E. coli in the presence of a simple microbiome revealed pairwise and higher-order interactions, and underlying molecular mechanisms.

Synthetic genetic analysis in C. elegans identifies pairs of RNA binding protein genes that play a critical role in organism health and development.

Multiple replicated examples of epistasis affecting gene expression in humans are identified, some explaining a substantial proportion of the variation in expression.