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Grant: Operating Grant

Université Laval

$635,071.00

A comprehensive genotype-phenotype map of a eukaryotic complexome

EF 2012-13

Résumé
The development of personalized medicine requires being able to predict which mutations will or will not affect a phenotype of interest and to understand how these effects take place. We can address this challenge by studying model organisms and measuring what the effects of a large number of mutations are and learning from them what are the mechanisms by which mutations affect the function of the cell. We are developing tools that allow dissecting cellular networks by systematically perturbing them at the genetic level in order to understand the molecular bases of their robustness and sensitivity to mutations. Our approach combines the use of large-scale genetics to introduce mutations into protein interaction networks and the use of systems biology to measure how these mutations affect the network at the structural level. Our approach will allow to better understand how and why some mutations are tolerated by the cell while others are not and lead to diseases such as cancer.
Programme
Operating Grant
Bénéficiaire
Emplacement
Quebec, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
CIHR Funding Decisions Database

Tel que publié

Id
279305
Name
Landry Christian
Region
Québec
Country
Canada
Orgtype
Institution Paid; Research Institution
Instname2
Genetics
Theme2
Biomedical
Prcname2
Genomics: Systems and computational biology
Projecttitle
A comprehensive genotype-phenotype map of a eukaryotic complexome
Programtype2
Operating Grants
Orgnameinp2
Université Laval
Cihramount2
$635,071
Cihrequipment2
$0
Programname2
Operating Grant
Keyworddelim
Cellular Robustness And Cancer; Genetics; Genomics; Genotype-Phenotype Map; Protein Complex; Protein Degradation; Protein Regulation; Protein-Protein Interactions; Systems Biology
Abstract
The development of personalized medicine requires being able to predict which mutations will or will not affect a phenotype of interest and to understand how these effects take place. We can address this challenge by studying model organisms and measuring what the effects of a large number of mutations are and learning from them what are the mechanisms by which mutations affect the function of the cell. We are developing tools that allow dissecting cellular networks by systematically perturbing them at the genetic level in order to understand the molecular bases of their robustness and sensitivity to mutations. Our approach combines the use of large-scale genetics to introduce mutations into protein interaction networks and the use of systems biology to measure how these mutations affect the network at the structural level. Our approach will allow to better understand how and why some mutations are tolerated by the cell while others are not and lead to diseases such as cancer.
Competitiondate
201303
Approvedterm2
5 yrs 0 mth
Pinamesdelim
Landry, Christian
Approvedterm
5 ans 0 mois
Cihrcontribution2
~ $635,071~ $0~