Dr Sabine Bahn

University position
Lecturer
Dr Sabine Bahn is pleased to consider applications from prospective PhD students.
Institutes
Home page
http://www.biot.cam.ac.uk/sb/?n1=...
Research Themes
Interests
We are conducting an extensive research programme to define the molecular basis of schizophrenia and bipolar affective disorder. The internationally recognised scientific team has received the second largest award ever from the Stanley Medical Research Institute and is supported by 'state of the art' laboratory facilities within the Institute of Biotechnology. A not-for-profit research centre has been established within the Institute, the Cambridge Centre for Neuropsychiatric Research (CCNR), under the direction of Dr Sabine Bahn. The centre aims to conduct and coordinate fundamental research into major neuropsychiatric diseases, identify surrogate biomarkers, develop diagnostic tests and therapeutic agents and promote their commercial development. The Bahn group has completed one of the most extensive 'omics' study to date on post mortem brain from >200 subjects and has developed new scientific hypotheses relating to the pathophysiology of schizophrenia and bipolar affective disorder.
Research Focus
Keywordssevere mental illness multi-omics biomarker systems biology bioinformatics |
Clinical conditionsBipolar disorder Depressive disorders Obsessive compulsive disorder Schizophrenia Substance abuse |
Equipment
Computational modelling
Metabolomics
Proteomics
Systems Biology
Transcriptomics
Collaborators
No collaborators listed
Key publications
Craddock RM, Lockstone HE, Rider DA, Wayland MT, Harris D, McKenna P, Bahn S (in press), “Differentially expressed genes relating to cell cycle and intracellular signalling are implicated in lower proliferative responses in T Cells from schizophrenia patients” PLOS One (in press)
Levin Y, Schwarz E, Wang L, Leweke M, Bahn S (in press), “Label free LC-MSMS quantitative proteomics for large scale biomarker discovery in complex samples. J.Sep” Sci (in press)
Schwarz E, Levin Y, Wang L, Leweke M, Bahn S (in press), “Peptide correlation: A means to identify high quality quantitative information in large scale proteomic studies. J.Sep” Sci (in press)


