Statistical Methods For Identifying Structural Variation In Tumour Genomes Using Next Generation Sequencing
Funder
National Health and Medical Research Council
Funding Amount
$243,458.00
Summary
New DNA sequencing technology can sequence a tumour genome affordably in 2 weeks. This re-sequencing data can be used to find small mutations and large-scale chromosomal rearrangements that together are the drivers of cancer. These may one day be used to guide cancer therapy. This project will develop new algorithms for finding mutations and apply these to discover the genetic basis of drug resistance in a model lymphoma system.
Vertically integrated statistical modelling in multi-layered omics studies. This project will develop an adaptive statistical modelling framework that uses information from many omics data to discover a collection of stable and clinically significant biomarkers. Results will enable researchers to better understand the underlying biological system of complex diseases such as cancer, Alzheimer and diabetes.
Exploring novel coding genomic features through integrative proteogenomics. Knowledge of the full extent to which the human genome is made into proteins is of fundamental importance in the study of health and disease. New technological advances are now enabling functional studies of genomes with increasing detail. This project aims to develop and apply cutting edge bioinformatics methods to perform an integrative and comprehensive exploration of the extent to which the genes of a human cell line ....Exploring novel coding genomic features through integrative proteogenomics. Knowledge of the full extent to which the human genome is made into proteins is of fundamental importance in the study of health and disease. New technological advances are now enabling functional studies of genomes with increasing detail. This project aims to develop and apply cutting edge bioinformatics methods to perform an integrative and comprehensive exploration of the extent to which the genes of a human cell line are made into proteins. The project will improve our understanding of the human genome and deliver cutting edge methodology applicable for genome annotation in all living organisms.Read moreRead less
Radical change in the architecture of a nucleus: loss of typical DNA organisation systems in dinoflagellates. The genetic blueprint of all higher cells is stored in the cell nucleus, and proteins called histones provide the filing system for compactly stacking and organising the cell's DNA. One group of organisms, the dinoflagellate algae, have lost this histone system. This project will provide insight into their alternative DNA management systems.
Large-scale Cancer Proteomic Analyses For Improved Prediction Of Drug Response, Patient Prognosis And Clinical Outcome
Funder
National Health and Medical Research Council
Funding Amount
$318,768.00
Summary
Proteomics is the study of all of the proteins encoded by a genome. In this project, I will use a new database of proteomic and clinical data from up to 70,000 cancer samples, and create an approach to correlate proteomic features with drug response, patient prognosis and clinical outcome. The aim of this research will be to use proteomics to better guide treatment decisions, with the potential to significantly improve the health of people with cancer, both in Australia and globally.
Molecular dynamics of steroid receptor crosstalk. This project uses state-of-the-art technology to show how steroids (for example, testosterone) affect many aspects of human life, and how these can be disrupted by chemicals and synthetic hormones. The results can be used to interpret disease, predict safety of new drugs, and to monitor risk to humans and wildlife of environmental chemicals.
Discovery Early Career Researcher Award - Grant ID: DE190101078
Funder
Australian Research Council
Funding Amount
$374,433.00
Summary
Functional role of a novel DNA modification in the adult brain. This project aims to understand how neuronal DNA is modified upon learning and how this impacts memory formation. The project will investigate the combination of different genome-wide sequencing approaches and molecular and cell biological assays to provide new insight into the functional role of a novel DNA modification, N6-methyl-2'-deoxyadenosine in the adult brain. This projects expects to have a major impact on many fields, inc ....Functional role of a novel DNA modification in the adult brain. This project aims to understand how neuronal DNA is modified upon learning and how this impacts memory formation. The project will investigate the combination of different genome-wide sequencing approaches and molecular and cell biological assays to provide new insight into the functional role of a novel DNA modification, N6-methyl-2'-deoxyadenosine in the adult brain. This projects expects to have a major impact on many fields, including neuroscience, evolutionary biology, and genetics, by helping to shape a new way of thinking about gene-environment interactionsRead 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
Charting the human epi-transcriptome. This project aims to use Oxford nanopore technologies and phage display technologies, to obtain quantitative, single-nucleotide resolution maps for any RNA modification of choice. This will allow systematic mapping of RNA modifications for which we currently lack transcriptome-wide maps, as well as investigate the roles, regulation and impact of RNA modifications in proper cellular functioning and cell differentiation. The project will provide significant be ....Charting the human epi-transcriptome. This project aims to use Oxford nanopore technologies and phage display technologies, to obtain quantitative, single-nucleotide resolution maps for any RNA modification of choice. This will allow systematic mapping of RNA modifications for which we currently lack transcriptome-wide maps, as well as investigate the roles, regulation and impact of RNA modifications in proper cellular functioning and cell differentiation. The project will provide significant benefits, such as to the economy by offering a cost-effective alternative to sequencing methods currently used to map DNA and RNA modifications.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.