Grant: Project Grant
University of British Columbia
$952,425.00
Large-scale multimodal genomics meta-analysis to gain insight into brain gene regulation
EF 2025-26
Résumé
We propose to build on our past contributions to analyses of large quantities of publicly-available brain genomics data, with a focus on single-cell transcriptomes and identifying signals of gene regulation in the brain. First, we will continue to maintain and expand our open database and software suite, Gemma (gemma.msl.ubc.ca), which currently contains over 22,000 data sets for mouse, human and rat. We will refine and greatly expand our holdings of single-cell data from the brain and of transcriptional regulator perturbation studies. Building on recent work, and integrating additional data types, we will then use these data to conduct large scale analyses of patterns of differential expression, coexpression and DNA binding with the aim of prioritizing direct targets of transcriptional regulators, focusing on neural development and microglial function. Our project will contribute to the ability of researchers to re-use and interpret transcriptome and other genomics data, as well as detailed information on evidence supporting regulatory actions of genes important for brain development and health.
Programme
Project Grant
Bénéficiaire
Emplacement
British Columbia, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
CIHR Funding Decisions Database
Tel que publié
Id
534358
Name
Pavlidis Paul
Region
British Columbia
Country
Canada
Orgtype
Institution Paid; Research Institution
Instname2
Neurosciences, Mental Health and Addiction
Theme2
Biomedical
Prcname2
Genomics: Systems and computational biology
Projecttitle
Large-scale multimodal genomics meta-analysis to gain insight into brain gene regulation
Programtype2
Operating Grants
Orgnameinp2
University of British Columbia
Cihramount2
$952,425
Cihrequipment2
$0
Programname2
Project Grant
Keyworddelim
Bioinformatics; Cellular Neuroscience; Genomics; Molecular Neuroscience
Abstract
We propose to build on our past contributions to analyses of large quantities of publicly-available brain genomics data, with a focus on single-cell transcriptomes and identifying signals of gene regulation in the brain. First, we will continue to maintain and expand our open database and software suite, Gemma (gemma.msl.ubc.ca), which currently contains over 22,000 data sets for mouse, human and rat. We will refine and greatly expand our holdings of single-cell data from the brain and of transcriptional regulator perturbation studies. Building on recent work, and integrating additional data types, we will then use these data to conduct large scale analyses of patterns of differential expression, coexpression and DNA binding with the aim of prioritizing direct targets of transcriptional regulators, focusing on neural development and microglial function. Our project will contribute to the ability of researchers to re-use and interpret transcriptome and other genomics data, as well as detailed information on evidence supporting regulatory actions of genes important for brain development and health.
Competitiondate
202509
Approvedterm2
5 yrs 0 mth
Pinamesdelim
Pavlidis, Paul
Approvedterm
5 ans 0 mois
Cihrcontribution2
~ $952,425~ $0~