The Role Of Non-classical MHC Class I Molecules In Adaptive Immunity
Funder
National Health and Medical Research Council
Funding Amount
$443,834.00
Summary
Specialised proteins called MHC class Ia molecules (MHC-Ia) stimulate killer T cells to lyse virus infected cells. In contrast, the function of the closely related MHC-Ib is uncertain. Recent findings have demonstrated that MHC-Ib can also be recognised by T cells and this interaction is important in the control of viral infections. However, despite the similarity to MHC-Ia, it is unclear how this interaction occurs. This project aims to investigate how killer T cells recognise MHC-Ib molecules.
Methylation Sensitive Genes And The Transition To Allergic Disease: A Twin Study
Funder
National Health and Medical Research Council
Funding Amount
$493,843.00
Summary
Australia has amongst the highest reported prevalence allergic conditions (including asthma) in the world. Despite this, little is known about how these conditions arise. Mounting evidence implicates environmentally induced disruption of the genetic blueprint via a process known as epigenetics. We are combining the strengths of a unique collection of identical twins where one of a pair is sensitive to house dust mite, with cutting edge genomics, to characterise the pathways leading to allergy in ....Australia has amongst the highest reported prevalence allergic conditions (including asthma) in the world. Despite this, little is known about how these conditions arise. Mounting evidence implicates environmentally induced disruption of the genetic blueprint via a process known as epigenetics. We are combining the strengths of a unique collection of identical twins where one of a pair is sensitive to house dust mite, with cutting edge genomics, to characterise the pathways leading to allergy in children.Read moreRead less
Dendritic cells are essential components of our immune systems. They are located throughout our body and provide the first line of defence against invading microbes. Dendritic cells sense the invader and send out signals to recruit our immune cells to the site of infection. Our research aims to understand how our dendritic cell network is set up and how it functions to promote our immune health.
Antigen-presenting cells control immune responses. Different types of these cells do different jobs and affect different diseases. We wish to control these processes by determining how the cells live and die. In particular we are interested in controlling the local immune responses during rejection of islet transplantation, which can cure type 1 diabetes.
Functional Suicide Of Selected Dendritic Cells By Cytochrome C: An In Vivo Model Lacking Cross-presentation
Funder
National Health and Medical Research Council
Funding Amount
$597,476.00
Summary
Certain white blood cells (dendritic cells) activate the immune system, especially its T cells. Infection of such cells elicits killer T cell responses. However not all infections infect dendritic cells. In such cases, the infectious material is eaten by dendritic cells and moved to certain areas within the cell. This process is called cross-presentation and how important it is during various diseases remains moot. We now have a model of testing this by eliminating these cross-presenting cells.
Adaptive learning of spatiotemporal patterns: Development of multi-layer spiking neuron networks using Hebbian and competitive learning. The aim of this project is to develop a method for recognising patterns that change in time. The development of a reliable method that is fast and robust to noise will have wide application in many areas, especially computer speech recognition where timing plays a crucial role. Building-blocks similar to those in the brain (spiking neurons) will be used. Aut ....Adaptive learning of spatiotemporal patterns: Development of multi-layer spiking neuron networks using Hebbian and competitive learning. The aim of this project is to develop a method for recognising patterns that change in time. The development of a reliable method that is fast and robust to noise will have wide application in many areas, especially computer speech recognition where timing plays a crucial role. Building-blocks similar to those in the brain (spiking neurons) will be used. Automatic techniques will be used to teach groups of spiking neurons the differences between sequences of events by adjusting connections between them. The significance of this approach is that it captures information about timing that is missed in existing techniques.Read moreRead less
Adaptive learning in networks of spiking neurons for recognising patterns that change with time. The aim of this project is to develop a method for recognising patterns that change with time. Building-blocks similar to those in the brain (spiking neurons) will be used. Automatic techniques will be developed to teach groups of spiking neurons the differences between sequences of events by adjusting connections between neurons. The significance of this approach is that it captures information abou ....Adaptive learning in networks of spiking neurons for recognising patterns that change with time. The aim of this project is to develop a method for recognising patterns that change with time. Building-blocks similar to those in the brain (spiking neurons) will be used. Automatic techniques will be developed to teach groups of spiking neurons the differences between sequences of events by adjusting connections between neurons. The significance of this approach is that it captures information about timing that is missed in existing techniques. The development of a reliable method that is fast and robust to noise will have wide application in many areas, especially computer speech recognition where timing plays a crucial role.Read moreRead less