About
To explore the effects of combining mutations and thus, be able to better understand complex functional interactions in a cell, we developed a novel genetic screening method that combines the exhaustivity of the yeast systematic gene deletion collection, with a novel haploid specific selection marker and detection of the effects of combining gene mutations on growth by the use of microarrays (Decourty et al., PNAS 2008) [full text]. An interface to the data presented in the PNAS paper is available.
Microarray based methods for genome-wide testing of resistance to toxic chemicals or antibiotics can also give indications about the target of a drug or how the cells adapt to a specific stress (Peyroche, Saveanu et al., PLOS One 2012, Zeidler et al., J Antimicrob Chemoter 2013).
As a side effect of doing large scale screens, we are developing tools for data analysis and visualization. These tools use combinations of database, Python, R and JavaScript programs.
The paper describing the results obtained for this project is now published in Nucleic Acids Research. To view the data, we developed a web interface, currently at: http://hub05.hosting.pasteur.fr/GIM_interactions/
