Discovery Early Career Researcher Award - Grant ID: DE180101075
Funder
Australian Research Council
Funding Amount
$365,058.00
Summary
Novel immune cell subsets in the centre nervous system and supporting tissues. This project aims to identify and characterise novel resident immune cell subsets within the brain and retina, and their close supporting tissues. The project expects to generate new knowledge in the areas of neuroimmunology and ocular immunology by using molecular and cellular techniques to examine the diversity of immune cells within the brain and retina. It is expected that the project will advance our understandin ....Novel immune cell subsets in the centre nervous system and supporting tissues. This project aims to identify and characterise novel resident immune cell subsets within the brain and retina, and their close supporting tissues. The project expects to generate new knowledge in the areas of neuroimmunology and ocular immunology by using molecular and cellular techniques to examine the diversity of immune cells within the brain and retina. It is expected that the project will advance our understanding of the biological mechanisms that protect the central nervous system from harmful inflammation and thus improve our knowledge of the immunobiology of the brain and eye.Read moreRead less
Drinking from the fire hose - Making sense of high density genetic and genomic data. The project will improve our understanding of the genetic component of common complex diseases such as cancer. Identification of genetic variants underlying disease risk is currently one of the primary means for increasing our understanding of the biochemical and developmental pathways involved. Genetic studies rely on sophisticated statistical and computational (bioinformatics) techniques. This project centres ....Drinking from the fire hose - Making sense of high density genetic and genomic data. The project will improve our understanding of the genetic component of common complex diseases such as cancer. Identification of genetic variants underlying disease risk is currently one of the primary means for increasing our understanding of the biochemical and developmental pathways involved. Genetic studies rely on sophisticated statistical and computational (bioinformatics) techniques. This project centres on the development, refinement and application of novel statistical analysis methods in genetics. Future advances in statistical and computational methods are essential if we are to exploit the large volumes of genome data now being generated to help develop diagnostics and interventions to improve public health.Read moreRead less