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2026 ARDC Annual Survey is now open!

The Australian Research Data Commons (ARDC) invites you to participate in a short survey about your interaction with the ARDC and use of our national research infrastructure and services. The survey will take approximately 5 minutes and is anonymous. It’s open to anyone who uses our digital research infrastructure services including Reasearch Link Australia.

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Field of Research : Biological Mathematics
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Field of Research : Cellular Immunology
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  • Funded Activity

    Discovery Projects - Grant ID: DP0771340

    Funder
    Australian Research Council
    Funding Amount
    $396,000.00
    Summary
    Understanding the T cell repertoire in health and disease. Immune recognition of viruses usually involves a large number of different 'killer T cells' that kill cells infected by virus. However, during prolonged infection or in the elderly the number of different killer T cells that recognise the virus is greatly reduced. This reduction in the diversity of the immune response allows the virus to avoid immune recognition, and leads to more severe infection. We aim to understand how diversity is .... Understanding the T cell repertoire in health and disease. Immune recognition of viruses usually involves a large number of different 'killer T cells' that kill cells infected by virus. However, during prolonged infection or in the elderly the number of different killer T cells that recognise the virus is greatly reduced. This reduction in the diversity of the immune response allows the virus to avoid immune recognition, and leads to more severe infection. We aim to understand how diversity is generated in the immune response, and how it becomes narrowed with age or prolonged infection. This information can be used to design vaccines for persistent infections such as HIV, and to improve immune control of infection in the elderly.
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    Funded Activity

    Discovery Projects - Grant ID: DP1095581

    Funder
    Australian Research Council
    Funding Amount
    $650,000.00
    Summary
    Understanding the dynamics of T cell responses to chronic infection. The health, social, and economic impact of chronic infections on the Australian and global populations is enormous. A major obstacle to the development of vaccines against chronic infections is that we have a poor understanding of immune responses to persistent infections. We aim to use bioinformatics and mathematical modelling to understand immune responses to persistent viruses so that we can improve the long-term immune cont .... Understanding the dynamics of T cell responses to chronic infection. The health, social, and economic impact of chronic infections on the Australian and global populations is enormous. A major obstacle to the development of vaccines against chronic infections is that we have a poor understanding of immune responses to persistent infections. We aim to use bioinformatics and mathematical modelling to understand immune responses to persistent viruses so that we can improve the long-term immune control of chronic viral infections such as the human immunodeficiency virus (HIV). This project will strengthen Australian research in the area of interdisciplinary approaches to immunology, which is becoming crucial to interpreting the rapidly increasing volume of data obtained using advanced experimental techniques.
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    Funded Activity

    Discovery Projects - Grant ID: DP0881615

    Funder
    Australian Research Council
    Funding Amount
    $235,944.00
    Summary
    Quantifying the adaptive immune response. The aim of this project is to develop mathematical models and computer software capable of predicting immune responses in infection and disease. The ability to predict immune responses should allow better 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. The models and software will also be applicable to other areas of cell biology, .... Quantifying the adaptive immune response. The aim of this project is to develop mathematical models and computer software capable of predicting immune responses in infection and disease. The ability to predict immune responses should allow better 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. The models and software will also be applicable to other areas of cell biology, such as describing growth and development. Thus, this project will lead to advances in understanding of fundamental biology, as well as potential improvements in treatments for a range of diseases.
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    Funded Activity

    ARC Future Fellowships - Grant ID: FT0992111

    Funder
    Australian Research Council
    Funding Amount
    $686,400.00
    Summary
    T cell recognition and control of virus: the balance between T cell receptor diversity and degeneracy. T cells provide an important line of defence in the immune system's resistance against infectious diseases. However, changes to the T cell population during prolonged infection, and with age, can compromise the immune system's ability to fight effectively viral infections. The proposed research will greatly improve our understanding of the recognition and control of viral infections by T cells. .... T cell recognition and control of virus: the balance between T cell receptor diversity and degeneracy. T cells provide an important line of defence in the immune system's resistance against infectious diseases. However, changes to the T cell population during prolonged infection, and with age, can compromise the immune system's ability to fight effectively viral infections. The proposed research will greatly improve our understanding of the recognition and control of viral infections by T cells. The insights gained from this research will enable us to exploit key features of T cell responses to improve the outcome of viral infections in elderly individuals and to develop better vaccines for protection against a range of infectious diseases that affect the Australian population, including HIV and Hepatitis C.
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    Showing 1-4 of 4 Funded Activites

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