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Institute of Healthy Ageing

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Prof Jurg Bahler

Prof Jurg Bahler

Address

Darwin Building
Gower Street
London
WC1E 6BT

Appointments

  • Chair in Molecular Systems Biology
    Genetics, Evolution & Environment
    Div of Biosciences

Joined UCL

2008-06-01

The characteristics of organisms result largely from the dynamic interplay between DNA or RNA and the regulatory apparatus. The control of gene expression is fundamental to implement the information in the genome and to determine the properties of different organisms. Gene expression is regulated at multiple levels, and cells need to integrate external and internal cues and coordinate different regulatory levels to properly exert biological functions. We study transcriptional and post-transcriptional gene expression programmes during cellular proliferation, quiescence/ageing, and stress response using Schizosaccharomyces pombe as a model system. We apply multiple genetic and high-throughput approaches for systems-level understanding of regulatory networks and complex relationships between genotype, phenotype, and environment, including roles of genome variation and evolution, transcriptome regulation, and non-coding RNAs.

Award year Qualification Institution
1994 PhD
Doctor of Philosophy
Cell Biology and Genetics
Universitat Bern
1990 BSc
Bachelor of Science
Molecular Biology
Universitat Bern

Jürg Bähler completed his PhD studies on meiotic chromosome metabolism at the University of Bern (Switzerland) under the supervision of Jürg Kohli. After short stays as a Research Associate in Japan and Switzerland, he worked as a Postdoctoral Fellow with John Pringle at the University of North Carolina (Chapel Hill, USA) and with Paul Nurse at the Imperial Cancer Research Fund (London, UK), studying cellular morphogenesis and cell-cycle regulation. In 2000, Bähler joined the Wellcome Trust Sanger Institute (Hinxton, UK) as a Group Leader, and in 2009 was appointed as a Professor of Systems Biology at University College London.

Keywords

Ageing|*|Apoptosis|*|Bioinformatic analysis|*|Bioinformatics|*|Bioreactors|*|Biostatistics|*|Cancer|*|Cancer cell cycle|*|ChIP-Chip|*|ChIP-Seq|*|Chromatin immunoprecipitation|*|Computational methods|*|Computational modelling|*|Computational models|*|Differentiation|*|Epigenetics|*|Evolution|*|FACS|*|Gene expression|*|Gene expression profiling - tissue level|*|Gene regulation|*|Gene targeting|*|Genetic manipulation (including knockout/knockin)|*|Genetic screens|*|Genetics|*|Genomewide association analysis|*|Genomic analyses|*|Genomics|*|Growth Yeast|*|MRNA|*|Mass spectrometry|*|Mathematical modelling|*|Meta-analysis|*|Metabolomics|*|Metagenomics|*|Microarrays|*|Microscopy|*|Modelling|*|Networks|*|Oxidative stress|*|Proliferation|*|Protein purification|*|Proteomics|*|QPCR|*|Signal transduction|*|Signalling|*|Stress|*|Transcription factor|*|Yeast genetics/cell biology|*|cellular growth and quiescence|*|genetic diversity|*|genotype-phenotype-environment interactions|*|oxidative stress response|*|systems biology