Improving Bioinformatic Methods For Studying Gene Regulation In Health And Disease
Funder
National Health and Medical Research Council
Funding Amount
$463,652.00
Summary
New methods for analysing genome-wide data will be developed to ease the data analysis bottleneck that currently exists in medical research. Modelling variation in gene expression from single cells, in screens designed to uncover gene function and assays that measure the factors that turn genes on or off will be the focus. Free software will be developed and made available to researchers worldwide to help them interpret the large and complex data sets that are now routine in genomic medicine.
Investigating Widespread Regulation Of Gene Expression Through Intron Retention
Funder
National Health and Medical Research Council
Funding Amount
$363,026.00
Summary
We recently discovered a hidden type of gene regulation that appears to be altered in diverse cancers including leukaemia, melanoma and colon cancer. We will explore this widely relevant mechanism using molecular and computational tools. We created the only computer program able to detect this type of regulation and will now share our discovery with cancer scientists through cloud computing technology.
Computational Reconstruction And Validation Of A Gene Regulatory Network Controlling Differentiation Of B Cells To Antibody-secreting Plasma Cells
Funder
National Health and Medical Research Council
Funding Amount
$618,152.00
Summary
Regulation of B cell differentiation, which occurs when our body responds to antigen infection is tightly controlled by a gene regulatory network. This project will be the first study to reconstruct a regulatory network for this process by using genome-wide expression and transcription factor binding data. The research finding from this study will elucidate the molecular mechanisms regulating this process and will shed new light on how this network is altered in lymphoma and myeloma.
Variation in the arginine vasopressin 1a receptor (AVPR1a) gene, the social environment, general health and wellbeing. The project aims to investigate how the arginine vasopressin 1a gene affects gene expression and influences social behaviour and ultimately health and wellbeing. This research will contribute to understanding the importance of individual differences in social policy and interventions aimed at improving health and wellbeing.
Developing methods for the analysis of massively parallel sequencing data in family studies. This project will develop analytical methods to use the latest, high-throughput method of generating sequencing data, i.e. the letters of the human genome alphabet. These tools will be used to identify the causal mutations in families with inherited disorders, leading to diagnostic tests for these families.
Discovery Early Career Researcher Award - Grant ID: DE180100883
Funder
Australian Research Council
Funding Amount
$365,058.00
Summary
Palaeo-population genomics: studying adaptation using ancient human DNA. This project aims to apply state-of-the-art population and quantitative genetic techniques to a powerful new database of ancient human genomes - spanning from hunter gatherers and early farmers through to the Middle Ages. This will be used to build the first detailed portrait of human genetic adaptation through time. This record will capture the major socio-cultural transitions in human history, and reveal the genetic and e ....Palaeo-population genomics: studying adaptation using ancient human DNA. This project aims to apply state-of-the-art population and quantitative genetic techniques to a powerful new database of ancient human genomes - spanning from hunter gatherers and early farmers through to the Middle Ages. This will be used to build the first detailed portrait of human genetic adaptation through time. This record will capture the major socio-cultural transitions in human history, and reveal the genetic and environmental drivers that have shaped modern human genetic diversity and pathology.Read moreRead less
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
Hidden complexity in microRNA function. This project aims to determine the extent to which microRNAs function through “non-canonical” mechanisms within cell nuclei, how their roles are expanded by naturally occurring sequence variation and how their activity is controlled by little known families of genes that sequester and inhibit their availability. The knowledge generated is significant as microRNAs regulate the expression of virtually all genes and biological processes, yet these mechanisms ....Hidden complexity in microRNA function. This project aims to determine the extent to which microRNAs function through “non-canonical” mechanisms within cell nuclei, how their roles are expanded by naturally occurring sequence variation and how their activity is controlled by little known families of genes that sequester and inhibit their availability. The knowledge generated is significant as microRNAs regulate the expression of virtually all genes and biological processes, yet these mechanisms of function remain poorly characterised and seldom considered. The expected outcome of better understanding mechanisms through which microRNAs work should provide significant benefit to safe and effective development of microRNAs for future agricultural or therapeutic application.Read moreRead less
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. Read moreRead less
The Stemformatics gene expression compendium: development of multivariate statistical approaches for cross platform analyses. Scientific data is gathered in many different forms, but there are significant gaps in our ability to analyse multiple datasets when generated on different pieces of equipment. This project will study three typical research questions in stem cell biology to develop new analytical approaches to help solve this major data gap.