Universidad Complutense de Madrid
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Differential genetic interactions of yeast stress response MAPK pathways.



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Martín, Humberto y Shales, Michael y Fernandez-Piñar, Pablo y Wei, Ping y Molina, María y Fiedler, Dorothea y Shokat, Kevan M. y Beltrao, Pedro y Lim, Wendell y Krogan, Nevan J. (2015) Differential genetic interactions of yeast stress response MAPK pathways. Molecular systems biology, 11 (4). p. 800. ISSN 1744-4292

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URL Oficial: http://dx.doi.org/10.15252/msb.20145606


Genetic interaction screens have been applied with great success in several organisms to study gene function and the genetic architecture of the cell. However, most studies have been performed under optimal growth conditions even though many functional interactions are known to occur under specific cellular conditions. In this study, we have performed a large-scale genetic interaction analysis in Saccharomyces cerevisiae involving approximately 49 × 1,200 double mutants in the presence of five different stress conditions, including osmotic, oxidative and cell wall-altering stresses. This resulted in the generation of a differential E-MAP (or dE-MAP) comprising over 250,000 measurements of conditional interactions. We found an extensive number of conditional genetic interactions that recapitulate known stress-specific functional associations. Furthermore, we have also uncovered previously unrecognized roles involving the phosphatase regulator Bud14, the histone methylation complex COMPASS and membrane trafficking complexes in modulating the cell wall integrity pathway. Finally, the osmotic stress differential genetic interactions showed enrichment for genes coding for proteins with conditional changes in phosphorylation but not for genes with conditional changes in gene expression. This suggests that conditional genetic interactions are a powerful tool to dissect the functional importance of the different response mechanisms of the cell.

Tipo de documento:Artículo
Palabras clave:cell wall integrity, genetic interactions, osmotic shock, stress response, Chromatin, Epigenetics, Genomics & Functional Genomics, Network Biology
Materias:Ciencias Biomédicas > Farmacia > Microbiología
Código ID:33654
Depositado:26 Nov 2015 13:13
Última Modificación:29 Nov 2015 14:57

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