Development and endocrinology research group

BlastocystResearch interests in this theme range from protein structure to cell biology and to whole mammal physiology. They include developmental and reproductive biology, endocrinology and bioinformatics and systems biology.

Within endocrinology we are interested in the hypothalamic-pituitary-gonadal axis ('reproductive axis'), the hypothalamic-pituitary-adrenal axis ('stress axis') and hormone-dependent breast cancer and endocrine disruptors. Within cell signalling we are interested in the role of protein structure, systems biology approaches to modelling cell signalling and the role of cell signalling pathways in the regulation of cell migration, cell death and immunology. Within developmental biology we are interested in skeletal muscle development, embryonic skeletal muscle growth and adult skeletal muscle function.

Further information about the research interests of individual staff members can be found in the table below.

Staff

Research Interests

Professor Ketan Patel

icmr-patel

Head of Development and Endocrinology

Developmental Biology, Skeletal muscle development. Adult skeletal muscle function, Embryonic skeletal muscle growth

Dr Andrew Bicknell

icmr-bicknell

Endocrinology, Adrenal gland, Pituitary, Stress axis

Dr Philip Dash

Dr Phil Dash

Cell signalling, Cell Migration, Nitric oxide, Apoptosis

Dr Philippa Darbre

icmr-darbre

Breast cancer, Environmental oestrogens

Dr Michael Fry biosci-fry_small Cell signalling, PI-3 kinase signalling, Proteomics & kinase signalling, GSK-3 & Wnt signalling in platelets

Professor Phil Knight

icmr-knight

Reproductive biology, Endocrinology, Ovarian follicular development, Ovulation, Early embryo development

Dr Liam McGuffin

biosci-mcguffin_small

Bioinformatics, Molecular Systems Biology, Prediction of protein

structures, functions and interactions
Dr Marcus Tindall biosci-tindall_small Systems biology, Mathematical modelling
 Dr Kim Watson biosci-watson_small

Metabolic enzymes, ABC transporters, Protein crystallography, Computational Biology

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