Woelk, Christopher - University of Southampton

个人简介

Dr. Christopher Woelk arrived at the University of Southampton as a Reader in Genomics and Bioinformatics in 2013. Dr. Woelk’s laboratory uses genomics technologies (i.e. RNA-Seq) to investigate the mechanism of human disease, and to develop diagnostic and prognostic classifiers. Active areas of research in the Woelk lab include the following: HIV eradication, reverse vaccinology, asthma, schizophrenia and post-traumatic stress disorder. The long-term research goals of the Woelk lab are to develop a diagnostic test for a human disease (e.g. schizophrenia) that becomes widespread in clinical use, and develop a new subunit vaccine that provides widespread protection against a bacterial pathogen (e.g. Salmonella spp.). Prior to moving to the University of Southampton, Dr. Woelk received a 1st in Biochemistry and Genetics from the University of Nottingham, and a PhD from the University of Oxford where he studied the molecular evolution of viruses and first acquired skills related to computational biology. Dr. Woelk completed his postdoctoral studies looking at the host response to HIV infection at the University of California in San Diego (UCSD) where he rose through the ranks to the level of Associate Professor.

研究领域

The Woelk lab primarily utilizes whole genome gene expression technologies (e.g., microarray and RNA-Seq) to investigate the mechanism of human disease, and to construct diagnostic and prognostic classifiers. These approaches are currently being applied to a wide range of human conditions including: HIV, asthma, schizophrenia and post-traumatic stress disorder. For example, the Woelk lab is currently funded to better understand the difference in gene expression between cells latently infected with HIV and those that are uninfected in order to construct synthetic molecular sensors that recognize and destroy latently infected cells. The Woelk lab also utilizes reverse vaccinology approaches to facilitate subunit vaccine design for bacterial pathogens. The lab was the first to apply support vector machine learning to the recognition of bacterial protective antigens.

近期论文

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Induction of fibroblast senescence generates a non-fibrogenic myofibroblast phenotype that differentially impacts on cancer prognosis - Mellone, Massimiliano, Hanley, Christopher, Thirdborough, Stephen, Mellows, Toby, Garcia, Edwin, Woo, Jeongmin, Tod, Joanne, Frampton, Steven, Jenei, Veronika, Moutasim, Karwan, Kabir, Tasnuva D., Brennan, Peter A, Venturi, Giulia, Ford, Kirsty, Herranz, Nicolas, Lim, Kue Peng, Clarke, James, Lambert, Daniel W., Prime, Stephen S., Underwood, Timothy J., Vijayanand, Pandurangan, Eliceiri, Kevin W., Woelk, Christopher, King, Emma, Gil, Jesus, Ottensmeier, Christian and Thomas, Gareth Published:2016Publication:AgingPage Range:1-19doi:10.18632/aging.101127PMID:27992856 Sex specific vitamin D effects on blood coagulation among overweight adults - Al-Daghri, Nasser M., Alokail, Majed S., Manousopoulou, Antigoni, Heinson, Ashley, Al-Attas, Oman, Al-Saleh, Yousef, Sabico, Shaun, Yakout, Sobhy, Woelk, Christopher H., Chrousos, Geroge P. and Garbis, Spiros D. Published:2016Publication:European Journal of Clinical InvestigationPage Range:1-22doi:10.1111/eci.12688PMID: 27727459 Systems proteomic analysis reveals that Clusterin and Tissue Inhibitor of Metalloproteinases 3 increase in leptomeningeal arteries affected by cerebral amyloid angiopathy - Manousopoulou, Antigoni, Gatherer, Maureen, Smith, Colin, Nicoll, James A.R., Woelk, Christopher H., Johnson, Mary, Kalaria, Rajesh, Attems, Johannes, Garbis, Spiros D. and Carare, Roxana Published:2016Publication:Neuropathology and Applied NeurobiologyPage Range:1-26doi:10.1111/nan.12342PMID:27543695 Quantitative non-canonical amino acid tagging based proteomics identifies distinct patterns of protein synthesis rapidly induced by hypertrophic agents in cardiomyocytes, revealing new aspects of metabolic remodeling - Liu, Rui, Kenney, Justin W., Manousopoulou, Antigoni, Johnston, Harvey E., Kamei, Makoto, Woelk, Christopher H., Xie, Jianling, Schwarzer, Michael, Garbis, Spiros D. and Proud, Christopher G. Published:2016Publication:Molecular and Cellular ProteomicsPage Range:1-54doi:10.1074/mcp.M115.054312PMID:27512079