Genomic Analysis Of DNA Binding And Gene Regulation By The Chromatin Remodelling Factor UBF
Funder
National Health and Medical Research Council
Funding Amount
$624,254.00
Summary
Synthesis of ribosomes, the cellular protein synthetic machinery, is the major anabolic event of a growing cell and is frequently dysregulated during disease such as cancer. This grant will examine a protein termed UBF that we think plays an important role in orchestrating the cellular response to dysregulated ribosome biogenesis. By understanding how UBF functions we hope to uncover novel therapeutic approaches to treat diseases associated with ribosome stress .
Regulation Of Ribosomal RNA Gene Chromatin During Malignant Transformation.
Funder
National Health and Medical Research Council
Funding Amount
$882,486.00
Summary
The overarching goal of this proposal is to determine the molecular basis for tumour cell dependence on activated ribosomal RNA gene repeats (rDNA). Our working model posits that rDNA repeats become activated through changes in rDNA chromatin structure that include increased binding of the RNA Polymerase I transcription factor UBF.
Rates, Patterns And Determinants Of Alcohol’s Harm To Others: A Cross-national Comparative Study
Funder
National Health and Medical Research Council
Funding Amount
$305,856.00
Summary
Alcohol causes harms to drinkers, and others around them, including spouses, children, family, friends, workmates and strangers. Australian and New Zealand work on alcohol’s harm to others is being replicated by the WHO in 7 countries (Chile, Nigeria, Sri Lanka, India, Thailand, Laos and Vietnam). We aim to analyse datasets from nine countries and compare the magnitude and patterning of problems across and within cultures – identifying opportunities for reducing harm from others’ drinking.
A Dimensional Approach To Mapping The Risk Mechanisms Of Mental Illness
Funder
National Health and Medical Research Council
Funding Amount
$1,677,975.00
Summary
There is ongoing debate about whether current definitions of mental disorders are accurate. We will use statistical techniques to identify the core dimensions of liability for mental illness, and map how genes and brain organization drive differences between people along each dimension.