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Head, Epigenetics
Honorary Research Associate
Trailblazing Aboriginal doctor and health researcher Professor Alex Brown has been made a Fellow of the Australian Academy of Technological Sciences and Engineering (ATSE) in recognition of his leadership in ensuring Indigenous peoples are at the forefront of genomics efforts nationally and internationally.
A national alliance of the brightest minds in genomic science, academia, policy makers, industry and Indigenous leaders will work to break down barriers to ensure Aboriginal and Torres Strait Islander people can benefit from advances in genomic medicine if they choose.
Aleksandra Filipovska has been elected a Fellow of the Australian Academy of Health and Medical Sciences.
A new national network will be established to advance the benefits from Genomic Medicine for Aboriginal and Torres Strait Islander people living in Australia.
RNA-sequencing (RNA-seq) efforts in acute lymphoblastic leukaemia have identified numerous prognostically significant genomic alterations which can guide diagnostic risk stratification and treatment choices when detected early.
Genomic sequencing in congenital heart disease (CHD) patients often discovers novel genetic variants, which are classified as variants of uncertain significance (VUS). Functional analysis of each VUS is required in specialised laboratories, to determine whether the VUS is disease causative or not, leading to lengthy diagnostic delays.
The specific role of chromatin modifying factors in the timely execution of transcriptional changes in gene expression to regulate organ size remains largely unknown. Here, we report that in Drosophila melanogaster depletion of the histone demethylase dLsd1 results in the reduction of wing size. dLsd1 depletion affects cell proliferation and causes an increase in DNA damage and cell death.
Current differentiation protocols have not been successful in reproducibly generating fully functional human beta cells in vitro, partly due to incomplete understanding of human pancreas development. Here, we present detailed transcriptomic analysis of the various cell types of the developing human pancreas, including their spatial gene patterns. We integrated single-cell RNA sequencing with spatial transcriptomics at multiple developmental time points and revealed distinct temporal-spatial gene cascades.