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CD4+ T cells drive an inflammatory, TNF-α/IFN-rich tumor microenvironment responsive to chemotherapyWhile chemotherapy remains the first-line treatment for many cancers, it is still unclear what distinguishes responders from non-responders. Here, we characterize the chemotherapy-responsive tumor microenvironment in mice, using RNA sequencing on tumors before and after cyclophosphamide, and compare the gene expression profiles of responders with progressors.
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Mapping mammalian cell-type-specific transcriptional regulatory networks using KD-CAGE and ChIP-seq data in the TC-YIK cell line.Examining the overlap between genes perturbed in the KD-CAGE experiments and genes with a ChIP-seq peak within 50 kb of their promoter, we identified direct...
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Cellular and molecular changes to cortical neurons following low intensity repetitive magnetic stimulation at different frequenciesA systematic comparison of the cellular and molecular changes in neurons in vitro induced by low intensity magnetic stimulation at different frequencies.
The aim of the Computational Biology team is to understand how individual bases in our genome predispose, alter and interact in normal and disease contexts.
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Adiposity associated DNA methylation signatures in adolescents are related to leptin and perinatal factorsEpigenetics links perinatal influences with later obesity. We identifed differentially methylated CpG (dmCpG) loci measured at 17 years associated with concurrent adiposity measures and examined whether these were associated with hsCRP, adipokines, and early life environmental factors. Genome-wide DNA methylation from 1192 Raine Study participants at 17 years, identified 29 dmCpGs associated with body mass index, 10 with waist circumference and 9 with subcutaneous fat thickness.
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Personalised analytics for rare disease diagnosticsHere we focus on the problem of prioritising variants with respect to the observed disease phenotype
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A phenotype centric benchmark of variant prioritisation toolsWe hypothesised that the performance of variant prioriisation tools may vary by disease phenotype.
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Promoter-level expression clustering identifies time development of transcriptional regulatory cascades initiated by ERBB receptors in breast cancer cellsThe analysis of CAGE (Cap Analysis of Gene Expression) time-courses has been applied to examine the dynamics of enhancer and promoter by sequentially...
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CAGE-defined promoter regions of the genes implicated in Rett SyndromeA comprehensive picture of the regulatory regions of the three genes involved in Rett Syndrome
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Pushing the boundaries of rare disease diagnostics with the help of the first Undiagnosed HackathonTimo Lassmann BSc (Hons) MSc PhD Feilman Fellow; Head, Precision Health Research and Head, Computational Biology timo.lassmann@thekids.org.au