The NIHR Maudsley Biomedical Research Centre (BRC) offers access to a comprehensive suite of state-of-the-art biomedical technology platforms and specialist expertise. High throughput ‘-omics’ technologies such as genomics, proteomics and metabolomics play an essential role in supporting novel, high throughput biomarker discovery programmes in the BRC. This includes research into common mental disorders such as anxiety and depression, as well as more extreme psychiatric disorders including dementia, autism spectrum disorders and psychoses.
Bioinformatics and Computational Facilities
Omics technologies generate huge amounts of data and being able to analyse these data rapidly and efficiently can often present a major obstacle to research progress.
The NIHR Maudsley BRC in collaboration with the Guy's and St Thomas' BRC and King’s College London has established an off site High Performance Computing and Cloud Facility called Rosalind (in honour of Kings' alumnus Rosalind Franklin). Rosalind provides the computing power needed for supporting high throughput data storage and analysis of the massive datasets produced by ‘omics research programmes across King’s Health Partner organisations.
Proteomics, which refers to the large-scale study of sets of proteins, provides an important platform to support research into the underlying causes of diseases as well as to identify biomarkers that could inform early diagnosis of particular disorder or predict its life course and response to treatments. The identification of novel biological biomarkers is vital to the development of personalised and stratified medicines approaches to the treatment of a range of biological disorders including dementia, addictions and psychoses.
The NIHR Maudsley BRC provides access to a range of high throughput proteomics technologies through the Proteomics Facility at King’s Health Partners.
The Facility, which is co-located with commercial guest Partner, Proteome Sciences Plc, provides a range of resources to researchers wishing to utilise proteomic tools to enhance their research studies. These include sophisticated protein search databases, mass spectrometry-based techniques such as Tandem-MS and gel based techniques such as differential in-gel electrophoresis (DIGE).