GEO DataSets

(Submitter supplied) An important goal in disease genetics and evolutionary biology is to understand how mutations combine together to alter phenotypes and fitness.  Non-additive genetic (epistatic) interactions between mutations occur extensively within and between genes, which makes accurate genetic prediction a difficult challenge.  Moreover, for unclear reasons, the interactions between mutations change quite extensively across conditions, cell types, and species, with important consequences for both evolution and precision medicine such as the exploitation of synthetic lethality in cancer. To better understand the plasticity of genetic interactions, we reduced the problem to a minimal system where we combined mutations within a single protein performing a single cellular function. more...

Organism:

synthetic construct

Type:

Other

Platform:

GPL19604

18 Samples

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