A Structural Investigation Into The T-cell Response To Epstein Barr Virus Infection
Funder
National Health and Medical Research Council
Funding Amount
$549,000.00
Summary
X-ray crystallography is an essential tool for solving the three-dimensional structure of proteins. Proteins control the biological processes within the cell and it is the precise shape of proteins that determines how they function. Depending on the particular sequence of the amino acids, the so-called building unit of the proteins, the protein molecule bends and forms a distinct, complex shape. This specific three-dimensional shape allows the protein to undertake its specific function, such as ....X-ray crystallography is an essential tool for solving the three-dimensional structure of proteins. Proteins control the biological processes within the cell and it is the precise shape of proteins that determines how they function. Depending on the particular sequence of the amino acids, the so-called building unit of the proteins, the protein molecule bends and forms a distinct, complex shape. This specific three-dimensional shape allows the protein to undertake its specific function, such as binding to other proteins, acting as an enzyme or interacting with nucleic acids. To determine how a protein acts, it is vital to know the precise three-dimensional shape at the atomic level. This proposal is concerned with understanding the precise shape of proteins that control the immune response to Epstein Barr Virus. Epstein Barr Virus is an ubiquitous human pathogen that has being linked to a number of cancers. This work will further our understanding of the immune response to Epstein Barr Virus.Read moreRead less
Statistical Methods For Identifying Structural Variation In Tumour Genomes Using Next Generation Sequencing
Funder
National Health and Medical Research Council
Funding Amount
$243,458.00
Summary
New DNA sequencing technology can sequence a tumour genome affordably in 2 weeks. This re-sequencing data can be used to find small mutations and large-scale chromosomal rearrangements that together are the drivers of cancer. These may one day be used to guide cancer therapy. This project will develop new algorithms for finding mutations and apply these to discover the genetic basis of drug resistance in a model lymphoma system.