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Investigation of RNA metabolism through large-scale genetic interaction profiling in yeast

Laurence Decourty, View ORCID ProfileChristophe Malabat, Emmanuel Frachon, View ORCID ProfileAlain Jacquier, View ORCID ProfileCosmin Saveanu
doi: https://doi.org/10.1101/2020.10.04.325191
Laurence Decourty
1Institut Pasteur, Unité de Génétique des Interactions Macromoléculaires, Département Génomes et Génétique, 25-28 rue du docteur Roux 75015, Paris, France
2CNRS UMR3525, F-75015 Paris, France
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Christophe Malabat
1Institut Pasteur, Unité de Génétique des Interactions Macromoléculaires, Département Génomes et Génétique, 25-28 rue du docteur Roux 75015, Paris, France
3Institut Pasteur, Hub Bioinformatique et Biostatistique, 25-28 rue du docteur Roux 75015, Paris, France
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Emmanuel Frachon
4Institut Pasteur, Plate-forme Technologique Biomatériaux et Microfluidique, 25-28 rue du docteur Roux 75015 Paris, France
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Alain Jacquier
1Institut Pasteur, Unité de Génétique des Interactions Macromoléculaires, Département Génomes et Génétique, 25-28 rue du docteur Roux 75015, Paris, France
2CNRS UMR3525, F-75015 Paris, France
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Cosmin Saveanu
1Institut Pasteur, Unité de Génétique des Interactions Macromoléculaires, Département Génomes et Génétique, 25-28 rue du docteur Roux 75015, Paris, France
2CNRS UMR3525, F-75015 Paris, France
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  • ORCID record for Cosmin Saveanu
  • For correspondence: cosmin.saveanu@pasteur.fr
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Abstract

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 700 000 Saccharomyces cerevisiae double 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.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • http://hub05.hosting.pasteur.fr/GIM_interactions/

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted October 04, 2020.
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Investigation of RNA metabolism through large-scale genetic interaction profiling in yeast
Laurence Decourty, Christophe Malabat, Emmanuel Frachon, Alain Jacquier, Cosmin Saveanu
bioRxiv 2020.10.04.325191; doi: https://doi.org/10.1101/2020.10.04.325191
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Investigation of RNA metabolism through large-scale genetic interaction profiling in yeast
Laurence Decourty, Christophe Malabat, Emmanuel Frachon, Alain Jacquier, Cosmin Saveanu
bioRxiv 2020.10.04.325191; doi: https://doi.org/10.1101/2020.10.04.325191

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