Proteomics and Genomics

Group

Overview

This interdisciplinary group conducts research using cutting edge technologies to analyse the genome, epigenome and proteome in order to gain insight into mechanisms of human diseases, cell biology, evolutionary processes and food authenticity.

These technologies include two-dimensional fluorescence in-gel electrophoresis (2D-DIGE), along with peptide mass fingerprinting, LC/MS/MS, iTRAQ, nLC-ESI-MS/MS and SWATH MS, which are being utilised to detect changes in the proteome, for example, in models of neurodegeneration, in cancer studies and the analysis of food products to determine their authenticity. RNA and microRNA microarray technology is particularly used to detect changes in gene expression in diabetes and cancer and to identify biomarkers of relevance to inflammatory diseases and cancer diagnosis and therapy. Chromatin shearing (ultrasonicator) immunoprecipitation and sequencing (ChIP-seq) and transcriptomic analyses (RNA-seq), in situ hybridization, RNA-immunoprecipitation (RIP) and electrophoretic mobility shift assays (REMSA) are employed for the analysis of alterations in the epigenome and non-coding RNAs underlying disease pathogenesis. Real-time (384) PCR approaches are used routinely, including in detailed SNP analysis of eukaryotic genes. Additional tools include protein modelling software to analyse protein structure.

We apply numerous computational analysis techniques to raw sequence data. Examples of applications include de novo assembly of small genomes, annotation and mapping of sequence data against reference sequences to produce high fidelity SNP profiles. More detailed downstream analysis include phylogenetic and Bayesian population analysis.

Related staff

Publications

Selected publications are listed on staff members' profile pages

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