Professor of Molecular Haematology, Department of Haematology
Email: bg200@cam.ac.uk
Research interests
Blood stem cells provide the constant supply of new blood cells throughout a person’s lifetime. The Göttgens group uses a combination of experimental and computational approaches to study transcriptional regulatory networks in blood stem cells; to discover how transcription factor networks control the function of blood stem cells and identify how perturbations of such networks can cause leukaemia.
Key publications
Moignard V, Woodhouse S, Haghverdi L, Lilly AJ, Tanaka Y, Wilkinson AC, Buettner F, Macaulay IC, Jawaid W, Diamanti E, Nishikawa SI, Piterman N, Kouskoff V, Theis FJ, Fisher J, Göttgens B. (2015) Decoding the regulatory network of early blood development from single-cell gene expression measurements. Nat Biotechnol [Epub ahead of print]
Moignard V, Macaulay IC, Swiers G, Buettner F, Schütte J, Calero-Nieto FJ, Kinston S, Joshi A, Hannah R, Theis FJ, Jacobsen SE, de Bruijn MFT, Göttgens B. (2013) Characterisation of transcriptional networks in blood stem and progenitor cells using high-throughput single cell gene expression analysis. Nature Cell Biology. 15: 363-372
Ruau D, Ng FS., Wilson NK, Hannah R, Diamanti E, Lombard P, Woodhouse S, Göttgens B. (2013). Building an ENCODE style data compendium on a shoestring. Nature Methods. 10(10): 926
Griffiths DS, Li J, Dawson MA, Trotter M, Cheng Y-H, Smith AM, Mansfield W, Liu P, Kouzarides T, Nichols J, Bannister AJ, Green AR, Göttgens B. (2011) LIF independent JAK signalling to chromatin in embryonic stem cells uncovered from an adult stem cell disease. Nature Cell Biology. 13: 13-21
Wilson NK, Foster SD, Wang X, Knezevic K, Schütte J, Kaimakis P, Chilarska P, Kinston S, Ouwehand WH, Dzierzak E, Pimanda JE, de Bruijn MF, Göttgens B. (2010) Combinatorial Transcriptional Control in Blood Stem/Progenitor Cells: Genome-wide Analysis of 10 major Transcriptional Regulators. Cell Stem Cell. 7(4):532-544
Areas of expertise
normal and leukaemic blood stem cells, regulatory networks, single cell genomics