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Grant: Operating Grant

University of Toronto

$1,421,235.00

Determination and inference of transcription factor sequence preferences across the eukaryotic kingdom

FY 2010-11

Summary
Cells read DNA using proteins that recognize specific sequences. Knowledge of the sequence preferences of DNA-binding proteins is critical for understanding how genomes function. We now have genome sequences from all major branches of the eukaryotic kingdom - that is, all non-bacterial life forms. These sequences also provide lists of proteins, from which we can identify those that are likely to bind DNA. My laboratory has implemented a high-throughput technique for determining the sequence preferences of DNA-binding proteins, and we also have a computational system for projecting these data among related proteins. In the next five years we will endeavor to use these systems to determine or infer the sequence preferences of all eukaryotic DNA-binding proteins. These data will be of widespread utility in biomedical research.
Program
Operating Grant
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
CIHR Funding Decisions Database

As published

Id
210041
Name
Hughes Timothy R
Region
Ontario
Country
Canada
Orgtype
Institution Paid; Research Institution
Instname2
Genetics
Theme2
Biomedical
Prcname2
Genomics: Systems and computational biology
Projecttitle
Determination and inference of transcription factor sequence preferences across the eukaryotic kingdom
Programtype2
Operating Grants
Orgnameinp2
University of Toronto
Cihramount2
$1,421,235
Cihrequipment2
$0
Programname2
Operating Grant
Keyworddelim
Evolution; Gene Regulation; Genomics; Microarrays; Systems Biology; Transcription Factors
Abstract
Cells read DNA using proteins that recognize specific sequences. Knowledge of the sequence preferences of DNA-binding proteins is critical for understanding how genomes function. We now have genome sequences from all major branches of the eukaryotic kingdom - that is, all non-bacterial life forms. These sequences also provide lists of proteins, from which we can identify those that are likely to bind DNA. My laboratory has implemented a high-throughput technique for determining the sequence preferences of DNA-binding proteins, and we also have a computational system for projecting these data among related proteins. In the next five years we will endeavor to use these systems to determine or infer the sequence preferences of all eukaryotic DNA-binding proteins. These data will be of widespread utility in biomedical research.
Competitiondate
201009
Approvedterm2
5 yrs 0 mth
Pinamesdelim
Hughes, Timothy R
Approvedterm
5 ans 0 mois
Cihrcontribution2
~ $1,421,235~ $0~