The role of gene isoforms in human brain development. This project aims to investigate how genes vary their products to control human brain development, by creating new methods to study gene activity in individual brain cells. Using these innovative methods, this project expects to generate fundamental new knowledge of how the human brain forms. Expected outcomes of this project include widely applicable techniques, strengthened international (UK) research collaborations and highly trained perso ....The role of gene isoforms in human brain development. This project aims to investigate how genes vary their products to control human brain development, by creating new methods to study gene activity in individual brain cells. Using these innovative methods, this project expects to generate fundamental new knowledge of how the human brain forms. Expected outcomes of this project include widely applicable techniques, strengthened international (UK) research collaborations and highly trained personnel in genomics and neuroscience. This should deliver many benefits, including a better understanding of how the brain forms, training of higher degree by research students, as well as tools and methods of benefit to the academic research and biotechnology sectors.Read moreRead less
Formation of boundaries in the developing embryo. This project aims to decipher how the boundaries between the different organs are established in the developing embryo. The project aims to identify the components of the gene regulatory network that controls lateral plate mesoderm formation, develop a mathematical model that can explain how the domains are formed within this region, and validate novel interactions in vivo in zebrafish. The expected outcome of the project is to reveal how the pro ....Formation of boundaries in the developing embryo. This project aims to decipher how the boundaries between the different organs are established in the developing embryo. The project aims to identify the components of the gene regulatory network that controls lateral plate mesoderm formation, develop a mathematical model that can explain how the domains are formed within this region, and validate novel interactions in vivo in zebrafish. The expected outcome of the project is to reveal how the progenitors of our body parts are instructed to be positioned at the right time and at the right place in the embryo. This project should provide significant benefit such as the expansion of Australia's knowledge base and research capability in cross-disciplinary science.Read moreRead less
How novel ribosomal RNA gene repeat variants drive cellular function. The hundreds of ribosomal RNA gene repeat copies are a remarkable part of our genomes, as they encode the machinery responsible for all cellular protein synthesis and shape the structure of the nucleus. However, due to their high degree of sequence similarity, they still have not been assembled into the human genome reference. This project will resolve this impasse and furthermore uncover the functional impacts of a newly iden ....How novel ribosomal RNA gene repeat variants drive cellular function. The hundreds of ribosomal RNA gene repeat copies are a remarkable part of our genomes, as they encode the machinery responsible for all cellular protein synthesis and shape the structure of the nucleus. However, due to their high degree of sequence similarity, they still have not been assembled into the human genome reference. This project will resolve this impasse and furthermore uncover the functional impacts of a newly identified molecular diversity in the ribosomal RNA gene repeats. Outcomes include new paradigms for how the ribosomal RNA gene repeats drive protein synthesis and genome structure, and a blueprint to develop novel genomics applications for human health, biotechnology, and agriculture.Read moreRead less
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.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE190100008
Funder
Australian Research Council
Funding Amount
$387,103.00
Summary
Exploring the evolution and ecology of non-photosynthetic Cyanobacteria. This project aims to contribute and expand our rudimentary understanding of non-photosynthetic Cyanobacteria by obtaining representative genome sequences using metagenomics. The dogma that all Cyanobacteria are photosynthetic has recently been challenged by the discovery of non-photosynthetic lineages. This project expects to obtain representative genome sequences using metagenomics to predict surface structures. The expect ....Exploring the evolution and ecology of non-photosynthetic Cyanobacteria. This project aims to contribute and expand our rudimentary understanding of non-photosynthetic Cyanobacteria by obtaining representative genome sequences using metagenomics. The dogma that all Cyanobacteria are photosynthetic has recently been challenged by the discovery of non-photosynthetic lineages. This project expects to obtain representative genome sequences using metagenomics to predict surface structures. The expected outcomes from this project includes providing insights into the function and evolution of non-photosynthetic Cyanobacteria and their viruses, and pure or enriched cultures to enable future studies.Read moreRead less
Discovery of Novel Bacteriophage with the Capacity to Modulate Gut Bacteria. This project aims to experimentally validate the largest ever collection of bacterial viruses (bacteriophages) within the gut microbiome. This project expects to generate new knowledge in the area of bacteriophage biology and genomics by using the innovative approaches of wet-lab and bioinformatic genome analyses. Expect outcomes of this project include the discovery of novel phages using bioinformatics, wet-lab validat ....Discovery of Novel Bacteriophage with the Capacity to Modulate Gut Bacteria. This project aims to experimentally validate the largest ever collection of bacterial viruses (bacteriophages) within the gut microbiome. This project expects to generate new knowledge in the area of bacteriophage biology and genomics by using the innovative approaches of wet-lab and bioinformatic genome analyses. Expect outcomes of this project include the discovery of novel phages using bioinformatics, wet-lab validation of their activity and characterisation of their potential to contribute new bacterial host metabolism. This should provide benefits, such as advancement to our understanding of bacteriophages, improved bioinformatic software, and a characterised collection of commercially valuable bacterial strains and phages.Read moreRead less
Who’s who in the plant gene world? As many more plant genomes are sequenced, the bottleneck is being able to interrogate and translate this data into applications for crop improvement. This project will develop and apply a population graph database, hosting genome data for the world’s major crops and their wild relatives, allowing the characterisation of gene diversity on an unparalleled scale. Analysis of this data will reveal the presence/absence and sequence diversity for classes of genes for ....Who’s who in the plant gene world? As many more plant genomes are sequenced, the bottleneck is being able to interrogate and translate this data into applications for crop improvement. This project will develop and apply a population graph database, hosting genome data for the world’s major crops and their wild relatives, allowing the characterisation of gene diversity on an unparalleled scale. Analysis of this data will reveal the presence/absence and sequence diversity for classes of genes for important agronomic traits including disease resistance, flowering time and legume nitrogen fixation which will enable plant breeders to identify and apply novel genes and allelic variants for use in breeding programmes, accelerating the production of improved crop varieties.Read moreRead less
Understanding the determinants of age-related muscle wasting in females . This project aims to investigate the fundamental mechanisms underlying age-related muscle wasting in females. Females live longer than males and are more susceptible to the consequences of muscle ageing. Yet, our current knowledge is overwhelmingly inferred from findings from male cohorts. By comprehensively mapping the functional, molecular and epigenetic mechanisms of ageing in female muscle, this project will generate n ....Understanding the determinants of age-related muscle wasting in females . This project aims to investigate the fundamental mechanisms underlying age-related muscle wasting in females. Females live longer than males and are more susceptible to the consequences of muscle ageing. Yet, our current knowledge is overwhelmingly inferred from findings from male cohorts. By comprehensively mapping the functional, molecular and epigenetic mechanisms of ageing in female muscle, this project will generate new, fundamental knowledge that will allow a unique interpretation of previous research through a sex-specific lens. This knowledge will contribute to better inform sex-specific models of research and practice in the future, ultimately delivering economic and social benefits for Australia and international communities.Read moreRead less
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.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE180101252
Funder
Australian Research Council
Funding Amount
$343,450.00
Summary
Statistical theory and algorithms for joint inference of complex networks. This project aims to address the challenges in jointly modelling complex networks by applying an integrated approach encompassing statistical theory, computation, and applications. The project expects to contribute to core statistical methodology development for complex inference and generate new knowledge in the fields of genomics, neuroscience, and social science through in-depth analyses of large-scale multilayered net ....Statistical theory and algorithms for joint inference of complex networks. This project aims to address the challenges in jointly modelling complex networks by applying an integrated approach encompassing statistical theory, computation, and applications. The project expects to contribute to core statistical methodology development for complex inference and generate new knowledge in the fields of genomics, neuroscience, and social science through in-depth analyses of large-scale multilayered network data. Expected outcomes include enhanced theoretical and computational frameworks for probabilistic network models to better utilise the power of multiple observations. This should foster international and interdisciplinary collaborations and add significant value to the rapidly progressing field of networks research.Read moreRead less