Investigation of RNA metabolism through large-scale genetic interaction profiling in yeast
Autor: | Cosmin Saveanu, Laurence Decourty, Emmanuel Frachon, Christophe Malabat, Alain Jacquier |
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Rok vydání: | 2020 |
Předmět: |
Damp
0303 health sciences biology MRNA destabilization Saccharomyces cerevisiae Mutant Computational biology biology.organism_classification Yeast 03 medical and health sciences chemistry.chemical_compound 0302 clinical medicine chemistry Hydrolase Inositol Gene 030217 neurology & neurosurgery 030304 developmental biology |
Popis: | Gene deletion and gene expression alteration can lead to growth defects that are amplified or reduced when a second mutation is present in the same cells. We performed 154 genetic interaction mapping (GIM) screens with mutants related with RNA metabolism and measured growth rates of about 700 000Saccharomyces cerevisiaedouble mutant strains. The screens used the gene deletion collection in addition to a set of 900 strains in which essential genes were affected by mRNA destabilization (DAmP). To analyze the results we developed RECAP, a strategy that validates genetic interaction profiles by comparison with gene co-citation frequency, and identified links between 1 471 genes and 117 biological processes. To validate specific results, we tested and confirmed a link between an inositol polyphosphate hydrolase complex and mRNA translation initiation. Altogether, the results and the newly developed analysis strategy should represent a useful resource for discovery of gene function in yeast. |
Databáze: | OpenAIRE |
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