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Reference genotype and exome data from an Australian Aboriginal population for health-based research

This data set provides a useful reference point for genomic studies on Aboriginal Australians

The rare and undiagnosed diseases diagnostic service – application of massively parallel sequencing in a state-wide clinical service

The Rare and Undiagnosed Diseases Diagnostic Service refers to a genomic diagnostic platform operating within the Genetic Services of Western Australia

Functional annotation of the vlinc class of non-coding RNAs using systems biology approach

We show that vlincRNAs genes likely function in cis to activate nearby genes

Systematic chemical and molecular profiling of MLL-rearranged infant acute lymphoblastic leukemia reveals efficacy of romidepsin

Present a valuable resource for drug discovery and have identified ROM as a promising therapeutic for MLL-rearranged iALL

DeepCAGE Transcriptomics Reveal an Important Role of the Transcription Factor MAFB in the Lymphatic Endothelium

VEGFR-3 signaling plays a central role in lymphatic biology, both in the development of the lymphatic network during embryogenesis as well as in...

Promoter-level expression clustering identifies time development of transcriptional regulatory cascades initiated by ERBB receptors in breast cancer cells

The analysis of CAGE (Cap Analysis of Gene Expression) time-courses has been applied to examine the dynamics of enhancer and promoter by sequentially...

CAGE-defined promoter regions of the genes implicated in Rett Syndrome

A comprehensive picture of the regulatory regions of the three genes involved in Rett Syndrome

AI succeeds in diagnosing rare diseases

Timo Lassmann BSc (Hons) MSc PhD Feilman Fellow; Head, Precision Health Research and Head, Translational Intelligence timo.lassmann@thekids.org.au

Mining single-cell data for cell type-disease associations

A robust understanding of the cellular mechanisms underlying diseases sets the foundation for the effective design of drugs and other interventions. The wealth of existing single-cell atlases offers the opportunity to uncover high-resolution information on expression patterns across various cell types and

Mesothelioma location influences the tumour microenvironment and immune checkpoint therapy response in preclinical models

Mesothelioma is a cancer derived from mesothelial cells, most commonly arising from the pleura or the peritoneum. Immune checkpoint therapy (ICT) has shown survival benefit for pleural mesothelioma, but little is known about the response in peritoneal mesothelioma. Most preclinical mesothelioma models involve subcutaneous cancer cell implantation, which lacks the relevant tumour microenvironment of peritoneal mesothelioma and does not resemble the clinical presentation.