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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 : Bioinformatics
Australian State/Territory : WA
Field of Research : Biochemistry and Cell Biology
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  • Active Funded Activity

    Discovery Projects - Grant ID: DP210103629

    Funder
    Australian Research Council
    Funding Amount
    $489,000.00
    Summary
    IDENTIFYING CONTROL ELEMENTS IN CHLOROPLAST GENE EXPRESSION. Energy from sunlight is captured by photosynthesis in plants, providing the basis for the terrestrial food chain. This process takes place in chloroplasts, subcellular structures that derived from photosynthetic bacteria a billion years ago. Chloroplasts have their own DNA, containing genes encoding the most important photosynthetic proteins. This project aims to provide the world’s best resources for the study of chloroplast genes. In .... IDENTIFYING CONTROL ELEMENTS IN CHLOROPLAST GENE EXPRESSION. Energy from sunlight is captured by photosynthesis in plants, providing the basis for the terrestrial food chain. This process takes place in chloroplasts, subcellular structures that derived from photosynthetic bacteria a billion years ago. Chloroplasts have their own DNA, containing genes encoding the most important photosynthetic proteins. This project aims to provide the world’s best resources for the study of chloroplast genes. In the process, we will discover how these important genes are regulated to provide photosynthetic proteins in the right amounts, in the right cells, at the right time. The knowledge and resources gained will facilitate improvement of photosynthetic function in future agricultural crops.
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    Discovery Projects - Grant ID: DP170103000

    Funder
    Australian Research Council
    Funding Amount
    $457,000.00
    Summary
    Complexities of the mitochondrial transcriptome. This project aims to understand mitochondrial gene expression and energy production. Energy production is important for living things to grow and develop. In mammals, the mitochondria, the energy producing “powerhouses of the cell”, contain their own genetic assembly instructions. This project aims to understand these genetic instructions, revealing how genes control energy production. This project will characterise the genetic instructions, the m .... Complexities of the mitochondrial transcriptome. This project aims to understand mitochondrial gene expression and energy production. Energy production is important for living things to grow and develop. In mammals, the mitochondria, the energy producing “powerhouses of the cell”, contain their own genetic assembly instructions. This project aims to understand these genetic instructions, revealing how genes control energy production. This project will characterise the genetic instructions, the mitochondrial transcriptome and the proteins that control them. These advances are expected to provide a mechanistic understanding of how gene expression responds to changes in cellular energy demands. This knowledge will generate new biotechnological tools for Australian science and will have important long-term implications for improving agriculture and medicine
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    Funded Activity

    Discovery Early Career Researcher Award - Grant ID: DE210100398

    Funder
    Australian Research Council
    Funding Amount
    $448,365.00
    Summary
    The Life And Death Of Plant Genes. My recent work has demonstrated that in contrast to animal genes, many plant genes show presence/absence variation within a species, with associated trait variation. In this project, I will explore models of gene birth and death by comparing genomes of Brassicaceae, including the model Arabidopsis and Brassica crop species. By comparing many genomes I will learn how new genes were born. I will build models that predict the likelihood of gene loss based on a gen .... The Life And Death Of Plant Genes. My recent work has demonstrated that in contrast to animal genes, many plant genes show presence/absence variation within a species, with associated trait variation. In this project, I will explore models of gene birth and death by comparing genomes of Brassicaceae, including the model Arabidopsis and Brassica crop species. By comparing many genomes I will learn how new genes were born. I will build models that predict the likelihood of gene loss based on a gene’s physical environment, function, and expression. The project will build on our understanding of plant genetic diversity. Expected outcomes of this research include the identification of key genomic elements in gene birth and loss and support strategies to improve plant cultivars.
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    Funded Activity

    Discovery Projects - Grant ID: DP160101960

    Funder
    Australian Research Council
    Funding Amount
    $456,900.00
    Summary
    Transcription factor – enhancer – promoter based regulatory networks. This project aims to develop new understanding on how multicellular organisms (including humans) develop, and how mutations in distant regions of the genome can affect human traits. The way the human genome is interpreted by the cellular machinery is still a mystery. We have a reference sequence and know where the majority of coding genes are, but we are far from understanding how the genome is regulated to generate the divers .... Transcription factor – enhancer – promoter based regulatory networks. This project aims to develop new understanding on how multicellular organisms (including humans) develop, and how mutations in distant regions of the genome can affect human traits. The way the human genome is interpreted by the cellular machinery is still a mystery. We have a reference sequence and know where the majority of coding genes are, but we are far from understanding how the genome is regulated to generate the diversity of cell types in our bodies. Enhancer regions interact with proximal promoters to regulate gene expression level and tissue-specificity. This project aims to develop transcriptional regulatory network models using high throughput chromatin interaction data and expression perturbation to link promoter and enhancers genome-wide.
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