Grant: Project Grant
University of Toronto
$1,227,826.00
Architecture and metabolic modulation of genetic networks in human cells
EF 2021-22
Résumé
Recent breakthroughs in gene editing technologies have transformed mammalian cell genetics and disease research. In particular, genome-scale screens employing CRISPR-Cas nucleases have already started delivering unprecedented insight into genotype-to-phenotype relationships. For example, such screens have defined genes required for human cell line proliferation that share functional, evolutionary, and physiological properties with essential genes in other organisms. These studies have ushered in a new era of functional genomics by enabling the systematic perturbation and characterization of genes in human cells that underlie biological processes and phenotypes. During the last funding stage, our team has made pioneering contributions to the development of world class genome-wide CRISPR resources for screening all human and mouse protein coding genes. The complexity of genome-wide CRISPR-Cas screening data led to the development of databases, computational models and machine learning to quantify gene perturbation effects in cancer cell models and under different environmental conditions. In one recent study we performed genetic screens on biological processes that impinged on lipid metabolism and were able to identify an uncharacterized gene that is required for regulation of lipid uptake, which we named LUR1. This study also highlighted how cellular metabolic reprogramming can be dissected by studying genetic interactions. Importantly, deregulated cellular energetics is a hallmark of cancer and we are interested in understanding how cancer cells adapt to changing environmental and metabolic conditions in order to reprogram their metabolism for robust tumor growth. We propose to take a systematic approach to identify and validate targets that can be modulated by drugs and impact cancer outcomes.
Programme
Project Grant
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
CIHR Funding Decisions Database
Tel que publié
Id
445563
Name
Moffat Jason
Region
Ontario
Country
Canada
Orgtype
Institution Paid; Research Institution
Instname2
Cancer Research
Theme2
Biomedical
Prcname2
Genomics: Systems and computational biology
Projecttitle
Architecture and metabolic modulation of genetic networks in human cells
Programtype2
Operating Grants
Orgnameinp2
University of Toronto
Cihramount2
$1,227,826
Cihrequipment2
$0
Programname2
Project Grant
Keyworddelim
Bioinformatics; Cancer Biology; Cancer Metabolism; Crispr; Functional Genomics; Gene Editing; Genetic Networks; Genetics
Abstract
Recent breakthroughs in gene editing technologies have transformed mammalian cell genetics and disease research. In particular, genome-scale screens employing CRISPR-Cas nucleases have already started delivering unprecedented insight into genotype-to-phenotype relationships. For example, such screens have defined genes required for human cell line proliferation that share functional, evolutionary, and physiological properties with essential genes in other organisms. These studies have ushered in a new era of functional genomics by enabling the systematic perturbation and characterization of genes in human cells that underlie biological processes and phenotypes. During the last funding stage, our team has made pioneering contributions to the development of world class genome-wide CRISPR resources for screening all human and mouse protein coding genes. The complexity of genome-wide CRISPR-Cas screening data led to the development of databases, computational models and machine learning to quantify gene perturbation effects in cancer cell models and under different environmental conditions. In one recent study we performed genetic screens on biological processes that impinged on lipid metabolism and were able to identify an uncharacterized gene that is required for regulation of lipid uptake, which we named LUR1. This study also highlighted how cellular metabolic reprogramming can be dissected by studying genetic interactions. Importantly, deregulated cellular energetics is a hallmark of cancer and we are interested in understanding how cancer cells adapt to changing environmental and metabolic conditions in order to reprogram their metabolism for robust tumor growth. We propose to take a systematic approach to identify and validate targets that can be modulated by drugs and impact cancer outcomes.
Competitiondate
202104
Approvedterm2
5 yrs 0 mth
Pinamesdelim
Moffat, Jason
Approvedterm
5 ans 0 mois
Cihrcontribution2
~ $1,227,826~ $0~