Structural And Functional Studies Of T-cell Mediated Recognition Of Microbial Lipids Presented By CD1c
Funder
National Health and Medical Research Council
Funding Amount
$316,449.00
Summary
The CD1c molecule plays an important role in the immune system by presenting lipid-based antigen of pathogens to the surface of an antigen presenting cell (APC) that is infected by the pathogen. Once a T cell receptor (TCR), which is expressed on the surface of a Killer T cell, recognises CD1c presenting pathogenic lipid, any infected cells will be destroyed. My research will look at the molecular mechanism of T cell recognising tuberculosis related lipids that is presented by CD1c.
Deciphering IFN Type III, TGF?, IL-10 And Adenosine Pathways In Natural Killer Cells: Enhancing The Innate Anti-metastatic Response Against Breast Cancer Progression
Funder
National Health and Medical Research Council
Funding Amount
$320,891.00
Summary
This project will determine whether one or more factors produced in tumours (eg. cell hormones and metabolites) inhibits NK cells from controlling breast cancer spread using the best available mouse tumour models. We will use genetics to specifically delete response to these factors by NK cells. It is a completely novel approach and this information will allow for the more rational design of cancer treatments following surgery and local radiotherapy and/or chemotherapy.
Control Of Haematological Cancers By Natural Killer Cells
Funder
National Health and Medical Research Council
Funding Amount
$314,644.00
Summary
Haematological cancers affect the blood and lymphoid organs and are generally lethal. Therapies targeting the anti-tumour capacities of the immune system have shown promising results in cancer patients. Natural Killer (NK) cells are key players of anti-tumour immune responses. This project will provide a better understanding of NK cell-mediated control of haematological malignancies that will be directly applied to the design of new curative therapies for blood cancer patients.
The aim of this project is to develop mathematical models and computer software capable of predicting immune responses to infection and disease. This “artificial immune system” should lead to improved vaccine design and better understanding of what causes the immune system to attack its own body, causing autoimmune disease, or fail to respond, causing immunodeficiency. This enabling science could then lead to improvements in treatment for a range of conditions of clinical importance.
Defining The Role Of Genetic Variants In Systemic Lupus Erythematosus: Copy Number Variants And Epigenetic Mechanisms
Funder
National Health and Medical Research Council
Funding Amount
$338,625.00
Summary
Systemic Lupus Erythematosus (SLE) is a complex autoimmune disease associated with increased risk of mortality, severely impacting the quality of life for those affected. A large number of genes have been implicated in SLE susceptibility, however we know little of the genetic mechanisms proceeding disease onset. This project uses state of the art technology to define the role of genetic variants in SLE susceptibility and identify their importance across patients of different ethnic backgrounds.
Tracking Endogenous Presentation Of MHC Class-II-Restricted Viral Epitopes
Funder
National Health and Medical Research Council
Funding Amount
$165,436.00
Summary
CD4+ T cells play an important role in controlling viral infections. Proteins from viruses are processed into small pieces by immune stimulating cells and these are then displayed on special molecules of the immune stimulating cells for the CD4+ T cells to recognise and respond to. This project aims to establish the various pathways by which the immune stimulating cells process the proteins and present them to the CD4+ T cells.
Using New Methods To Unravel The Genetics Of Complex Disorders
Funder
National Health and Medical Research Council
Funding Amount
$316,444.00
Summary
Advances in genomics have revolutionised research in the genetics of complex traits, but much of the genetic risk to disease remains unexplained. This project aims to utilise and integrate data from the latest genomic technologies such as next-generation sequencing, methylation arrays and gene expression arrays collected from large cohorts both in the United States and Australia to uncover the biological changes necessary for disease onset.