Systems Biology and Personalised Medicine
Using high-throughput biology (genomics, transcriptomics, proteomics) to understand global changes in biological systems, and using this knowledge to inform therapeutic decisions.
- Changes in biological pathways during tumour formation, maintenance and spread
- Profiling the characteristics that predispose patients to respond differently to therapies
- Profiling the mitochondrial proteomes of cells with different sensitivities to apoptosis
- Building signalling pathway-based ontologies for biological systems, particularly those dysregulated in disease
Post-genomic biology is gaining new insights into how biological systems work by bringing together biological datasets from disparate technologies such as gene expression microarrays, next-generation sequencing and quantitative tandem mass spectrometry. The large datasets generated by these technologies also mean that biology is rapidly becoming an information–based discipline, and today’s biologist needs the skills to use, access and exploit electronic information just as urgently as laboratory-based expertise. Merging these datasets and exploiting our conclusions for better therapeutic outcomes requires us to re-examine reductionist thinking about biology.
Dr Tom Nebl - Proteomics Manager/ Protein characterisation
Dr Andrew Webb - Senior Research Officer/ Targeted Proteomics
Dr Giuseppe Infusini - Research Officer/ Discovery Proteomics
Mr Simon Michnowicz - WEHI Mascot Facility Manager/IT Support
Ms Liz Milla - Computational Biologist/Data Analyst
Dr Sam Wormald - Research Officer
Ms Doreen Agyapomaa - Research Technician