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Status : Active
Field of Research : Systems Biology
Research Topic : cDNA microarray
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Gene Expression (incl. Microarray and other genome-wide approaches) (4)
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  • Active Funded Activity

    Investigating Biological Processes In Tissues By Spatial Profiling.

    Funder
    Australian Research Council
    Funding Amount
    $535,000.00
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    Active Funded Activity

    Discovery Projects - Grant ID: DP200102951

    Funder
    Australian Research Council
    Funding Amount
    $470,000.00
    Summary
    Investigating the biogenesis and function of circular RNAs in the brain. Circular RNAs (circRNAs) are e a novel class of RNA molecules produced in a wide spectrum of eukaryotic organisms, from yeast to humans. Their expression is particularly high in the nervous system in the fruit fly, mouse and humans. What mechanisms are responsible for the tissue-specific enrichment of circular RNA expression? What are the consequences of circular RNA production on gene expression? The overall goal of the pr .... Investigating the biogenesis and function of circular RNAs in the brain. Circular RNAs (circRNAs) are e a novel class of RNA molecules produced in a wide spectrum of eukaryotic organisms, from yeast to humans. Their expression is particularly high in the nervous system in the fruit fly, mouse and humans. What mechanisms are responsible for the tissue-specific enrichment of circular RNA expression? What are the consequences of circular RNA production on gene expression? The overall goal of the proposed project is to elucidate these important aspects of circRNA biogenesis. Specifically, the project aims to (a) discover proteins that regulate circRNA expression, (b) elucidate how circRNA expression interacts with alternative splicing, and (c) identify circular RNAs that play regulatory roles in gene expression.
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    Active Funded Activity

    ARC Future Fellowships - Grant ID: FT170100359

    Funder
    Australian Research Council
    Funding Amount
    $921,067.00
    Summary
    How does the noncoding genome regulate gene expression in the human brain? The non-coding genome is recognized as a major player in orchestrating gene expression in higher eukaryotes. This project aims to identify regions of the human genome that are important for gene expression during neuronal differentiation and depolarisation (i.e. neural enhancers), and to investigate their evolutionary properties. The roles of non-coding DNA in regulating the dynamic gene expression patterns underlying com .... How does the noncoding genome regulate gene expression in the human brain? The non-coding genome is recognized as a major player in orchestrating gene expression in higher eukaryotes. This project aims to identify regions of the human genome that are important for gene expression during neuronal differentiation and depolarisation (i.e. neural enhancers), and to investigate their evolutionary properties. The roles of non-coding DNA in regulating the dynamic gene expression patterns underlying complex human brain functions remains to be elucidated. By combining transcriptome quantification and bioinformatics methods, this project will close an important knowledge gap in our understanding of transcriptional regulation underlying human brain function. This will provide benefits such as the potential to influence public health policy including in cognitive functions and aging.
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    Active Funded Activity

    ARC Future Fellowships - Grant ID: FT170100047

    Funder
    Australian Research Council
    Funding Amount
    $944,572.00
    Summary
    Developing bioinformatics methods for single cell transcriptomics. This project aims to develop novel bioinformatics methods for single cell transcriptomic data that seek to model variability in cell populations. The project expects to generate new approaches using Bayesian statistics that will act as high-end enablers of discovery in transcriptional regulatory processes. Through an interdisciplinary combination of experimental and computational research, insights into fundamental biological pro .... Developing bioinformatics methods for single cell transcriptomics. This project aims to develop novel bioinformatics methods for single cell transcriptomic data that seek to model variability in cell populations. The project expects to generate new approaches using Bayesian statistics that will act as high-end enablers of discovery in transcriptional regulatory processes. Through an interdisciplinary combination of experimental and computational research, insights into fundamental biological processes will be elucidated, specifically the robustness of cellular systems. Expected outcomes include a suite of novel tools that will push the boundaries of current bioinformatics solutions with potential to deliver significant benefits to every domain of biological science, particularly tissue engineering and synthetic biology.
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    Showing 1-4 of 4 Funded Activites

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