Grant: Doctoral Award - Frederick Banting and Charles Best Canada Graduate Scholarships
University of British Columbia
$105,000.00
High-throughput behavioural neurogenetic characterization and precise structure-function analysis of genes and gene variants associated with Autism Spectrum Disorder using Caenorhabditis elegans.
EF 2016-17
Résumé
A primary challenge in investigations of genes associated with Autism Spectrum Disorder (ASD) is the lack of a model system in which to characterize the large number of candidate risk genes in a rapid, cost-effective manner. The time and money constraints associated with modelling psychiatric disease in higher-order organisms necessitates an alternative approach. I propose using Caenorhabditis elegans, a microscopic worm commonly used in neuroscience and genetics research, to characterize ASD-associated genes and mutations within those genes. C. elegans is an ideal genetic model organism with which genetic screens and precise genetic engineering can rapidly correlate genotype to phenotype and determine the biological pathways in which genes function. Also, we have developed an automated machine vision system, the Multi-Worm Tracker (MWT), to collect 15 phenotypic measures of development, locomotion, and habituation - a form of learning that is impaired in ASD. I will use the MWT to rapidly characterize hundreds of ASD-associated genes by analyzing the morphology and behaviour of different strains of C. elegans each carrying a mutation in a different ASD-associated gene. After an unbiased characterization of all genes, I will use multivariate analyses to identify genes that induce strong and unique effects to prioritize them for detailed analysis. I will use CRISPR genome engineering to insert human mutations identified in individuals with ASD to determine how these mutations disrupt normal neurodevelopment and learning. This research will generate a large number of novel genotype to phenotype relationships and detailed mechanistic information of how ASD-associated genes alter a nervous system to disrupt normal development, locomotion, and learning. This data can be used to inform future, targeted studies in higher-order organisms and humans. Importantly, this work will identify novel therapeutic targets for ameliorating the effects of ASD.
Programme
Doctoral Award - Frederick Banting and Charles Best Canada Graduate Scholarships
Bénéficiaire
Emplacement
British Columbia, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
CIHR Funding Decisions Database
Tel que publié
Id
367818
Name
McDiarmid Troy A
Region
British Columbia
Country
Canada
Orgtype
Institution Paid; Research Institution
Instname2
Neurosciences, Mental Health and Addiction
Theme2
Biomedical
Prcname2
Doctoral Research Awards - A
Projecttitle
High-throughput behavioural neurogenetic characterization and precise structure-function analysis of genes and gene variants associated with Autism Spectrum Disorder using Caenorhabditis elegans.
Programtype2
Studentship Programs
Orgnameinp2
University of British Columbia
Cihramount2
$105,000
Cihrequipment2
$0
Programname2
Doctoral Award - Frederick Banting and Charles Best Canada Graduate Scholarships
Keyworddelim
Autism Spectrum Disorder Genetics; Behaviour Genetics; Behavioural Neuroscience; Caenorhabditis Elegans; Crispr-Cas9; Genetic Model Organisms; Genome Engineering; Habituation; High-Throughput Behavioural Phenotyping; Molecular Genetic Structure-Function Analysis
Abstract
A primary challenge in investigations of genes associated with Autism Spectrum Disorder (ASD) is the lack of a model system in which to characterize the large number of candidate risk genes in a rapid, cost-effective manner. The time and money constraints associated with modelling psychiatric disease in higher-order organisms necessitates an alternative approach. I propose using Caenorhabditis elegans, a microscopic worm commonly used in neuroscience and genetics research, to characterize ASD-associated genes and mutations within those genes. C. elegans is an ideal genetic model organism with which genetic screens and precise genetic engineering can rapidly correlate genotype to phenotype and determine the biological pathways in which genes function. Also, we have developed an automated machine vision system, the Multi-Worm Tracker (MWT), to collect 15 phenotypic measures of development, locomotion, and habituation - a form of learning that is impaired in ASD. I will use the MWT to rapidly characterize hundreds of ASD-associated genes by analyzing the morphology and behaviour of different strains of C. elegans each carrying a mutation in a different ASD-associated gene. After an unbiased characterization of all genes, I will use multivariate analyses to identify genes that induce strong and unique effects to prioritize them for detailed analysis. I will use CRISPR genome engineering to insert human mutations identified in individuals with ASD to determine how these mutations disrupt normal neurodevelopment and learning. This research will generate a large number of novel genotype to phenotype relationships and detailed mechanistic information of how ASD-associated genes alter a nervous system to disrupt normal development, locomotion, and learning. This data can be used to inform future, targeted studies in higher-order organisms and humans. Importantly, this work will identify novel therapeutic targets for ameliorating the effects of ASD.
Competitiondate
201610
Approvedterm2
3 yrs 0 mth
Pinamesdelim
McDiarmid, Troy A
Approvedterm
3 ans 0 mois
Cihrcontribution2
~ $105,000~ $0~