Discovery Early Career Researcher Award - Grant ID: DE190100116
Funder
Australian Research Council
Funding Amount
$415,737.00
Summary
Cell types and cell states revealed by single-cell regulatory networks. This project aims to use single-cell gene regulation networks to predict cell types. Computational approaches are needed to recapitulate how the over 37 trillion cells program the shared genome sequence in a human body to create astoundingly diverse forms and functions. This project integrates millions of high-resolution single-cell gene expression profiles with large-scale population regulatory data to systematically recons ....Cell types and cell states revealed by single-cell regulatory networks. This project aims to use single-cell gene regulation networks to predict cell types. Computational approaches are needed to recapitulate how the over 37 trillion cells program the shared genome sequence in a human body to create astoundingly diverse forms and functions. This project integrates millions of high-resolution single-cell gene expression profiles with large-scale population regulatory data to systematically reconstruct gene regulatory networks. These networks are the molecular basis for understanding human cells. This projects outcomes intend to include the first reference single-cell regulatory database and novel methods and software to predict individual cells. This project will contribute to advancing Australia's capabilities in single-cell, precision medicine, and big biological data analysis leading to significant scientific, societal and commercial benefits.Read moreRead less
How and why cells decorate their genetic messages. This project aims to investigate a new layer of genomic control mediated not by DNA but instead by chemical modifications found on the cell's working copies of genetic information called messenger RNA. The investigations will use cutting-edge RNA sequencing technology and the fruit fly model organism to uncover the scope and mechanisms by which such modifications enact their roles at the molecular level and within the body plan of an animal. Exp ....How and why cells decorate their genetic messages. This project aims to investigate a new layer of genomic control mediated not by DNA but instead by chemical modifications found on the cell's working copies of genetic information called messenger RNA. The investigations will use cutting-edge RNA sequencing technology and the fruit fly model organism to uncover the scope and mechanisms by which such modifications enact their roles at the molecular level and within the body plan of an animal. Expected outcomes include novel molecular tools and models that will assist in understanding and manipulating the function of genomes. Such knowledge should provide benefits in developing innovative biotechnology applications of use in human health, agriculture and managing the environment.
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Decoding miRNA regulated genetic circuits. This project will aim to develop a much better understanding of how the process of making proteins from genes is regulated, and will develop scientific software capable of predicting how a cell will respond to changes in this regulation. The results will have widespread use, including assistance in deciding the best treatments for genetic diseases.
Genome-wide discovery of translation control mechanisms. This project aims to reveal currently unknown molecular details of protein synthesis, a step of gene expression that is central to all of life. To achieve this, innovative methods based on next-generation sequencing will be deployed in the yeast model organism. Yeasts are of importance as pathogens as well as in the food and biotechnology industry sector. Thus, new knowledge generated in this project will help solve problems of invasive pa ....Genome-wide discovery of translation control mechanisms. This project aims to reveal currently unknown molecular details of protein synthesis, a step of gene expression that is central to all of life. To achieve this, innovative methods based on next-generation sequencing will be deployed in the yeast model organism. Yeasts are of importance as pathogens as well as in the food and biotechnology industry sector. Thus, new knowledge generated in this project will help solve problems of invasive pathogenic behaviour and biomass production.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
Robust Bioinformatics For Predicting Bacterial Pathogens From Microbiome Sequencing
Funder
National Health and Medical Research Council
Funding Amount
$644,151.00
Summary
We propose to develop new methods for the identification of microbial pathogens using High Throughput DNA Sequencing (HTS). Study of the microbiome - the genes encoded by the assemblage of microbial species present in an environment - using HTS technologies is revolutionising our understanding of human-microbe interactions. Our proposed work includes fundamental computational and theoretical advances and applying these techniques to solve critical problems in pathogen detection.
Integrating Population Genetics, In Silico And Functional Data To Enable Precision Medicine In The Epilepsies
Funder
National Health and Medical Research Council
Funding Amount
$425,048.00
Summary
Epilepsy has proven to be a very genetically tractable neurological disorder. However, while we now routinely identify causal mutations in out patient populations, the process of understanding which are contributing versus which are benign background variation becomes critical as we move towards a period where precision medicine is becoming a reality for some patients. This work will focus on bringing together multiple levels of data to explore integrated models of predicting epilepsy variants.
Development Of Genomic Tools For Precision Medicine In Infectious Disease And Cancer
Funder
National Health and Medical Research Council
Funding Amount
$470,144.00
Summary
I will develop tools for precision medicine in cancer and infectious disease. In infectious disease, these tools will provide rapid diagnosis of bacterial infection as well as the characterization of drug resistance, which will mean clinicians can give the correct antibiotic the first time. In cancer, it will provide tools for identifying the type of cancer present in a patient, and for identifying the likely response to different treatment options on the basis of which genes are switched-on
Clinical Application Of Genomic Approaches For Cancer
Funder
National Health and Medical Research Council
Funding Amount
$707,370.00
Summary
Cancer is the cause of 1 in 8 deaths worldwide. Cancer occurs due to errors or mutations in the DNA of normal cells. I will identify the mutations in tumour cells, which will tell us: i) How the tumour started and grew ii) How to treat the tumour and kill the cancer The work involves a variety of cancer types including mesothelioma, melanoma, oesophageal and breast cancer. The overall aim is to apply some of the research findings or approaches into patient care to improve patient survival.
Synthetic DNA Standards For Clinical Genome Sequencing
Funder
National Health and Medical Research Council
Funding Amount
$870,005.00
Summary
Genome sequencing can diagnose a wide range of mutations that cause human disease. However, errors during sequencing and analysis can lead to incorrect diagnosis. We propose to develop synthetic representations of genetic mutations that are then added to a patient’s DNA sample and act as internal controls throughout the clinical sequencing workflow. These controls improve the accuracy and reliability of mutation detection, resulting in improved diagnosis and better-informed patient care.