Grant: Operating Grant - PA: Genetics (Bridge Funding: Research Priorities)
University of British Columbia
$100,000.00
Deep Learning-Based Design of Synthetic Promoters for Oligodendroglia-Specific Expression
EF 2022-23
Résumé
Oligodendroglia is a specialized cell type that covers the axons of neurons in the central nervous system. Studying how these cells function would help us advance research into diseases related to these types of cells, such as multiple sclerosis (MS).
In this project, we will generate DNA sequences using computers (artificial intelligence) to turn on genes in oligodendroglia. First, we will generate data from oligodendroglia cells grown in the lab as well as cells from mice. Next, we will use these data to teach computers to design sequences that will only work in oligodendroglia. Then, we will test these sequences in two types of cells (oligodendroglia and an unrelated cell type). Finally, using a type of gene therapy in mice, we will test sequences that worked in oligodendroglia cells but not the other cells to see if they behave the same in the brain.
If successful, the resulting research will be useful for future gene therapy. The designed DNA sequences could be used to turn on genes that would fix oligodendroglia in neurological diseases like MS.
Programme
Operating Grant - PA: Genetics (Bridge Funding: Research Priorities)
Bénéficiaire
Emplacement
British Columbia, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
CIHR Funding Decisions Database
Tel que publié
Id
472625
Name
Wasserman Wyeth W
Region
British Columbia
Country
Canada
Orgtype
Research Institution; Institution Paid
Instname2
Genetics
Theme2
Biomedical
Prcname2
Genomics: Systems and computational biology
Projecttitle
Deep Learning-Based Design of Synthetic Promoters for Oligodendroglia-Specific Expression
Programtype2
Operating Grants
Orgnameinp2
University of British Columbia
Cihramount2
$100,000
Cihrequipment2
$0
Programname2
Operating Grant - PA: Genetics (Bridge Funding: Research Priorities)
Keyworddelim
Bioinformatics; Computational Biology; Gene Expression; Gene Therapy; Genome Regulation; Genomics; Regenerative Medicine; Stem Cell; Transcription Factors
Abstract
Oligodendroglia is a specialized cell type that covers the axons of neurons in the central nervous system. Studying how these cells function would help us advance research into diseases related to these types of cells, such as multiple sclerosis (MS).
In this project, we will generate DNA sequences using computers (artificial intelligence) to turn on genes in oligodendroglia. First, we will generate data from oligodendroglia cells grown in the lab as well as cells from mice. Next, we will use these data to teach computers to design sequences that will only work in oligodendroglia. Then, we will test these sequences in two types of cells (oligodendroglia and an unrelated cell type). Finally, using a type of gene therapy in mice, we will test sequences that worked in oligodendroglia cells but not the other cells to see if they behave the same in the brain.
If successful, the resulting research will be useful for future gene therapy. The designed DNA sequences could be used to turn on genes that would fix oligodendroglia in neurological diseases like MS.
Competitiondate
202209
Approvedterm2
1 yr 0 mth
Pinamesdelim
Wasserman, Wyeth W
Approvedterm
1 an 0 mois
Cihrcontribution2
~ $100,000~ $0~