Contact information
Research groups
Jagat Chauhan
Post-doctoral Fellow
I did my PhD in Bioinformatics in 2013 under the supervision of Prof GPS Raghava from CSIR-IMTECH, Chandigarh India. During my PhD, I applied machine learning and Bioinformatics approaches to analyse and predict protein-small molecule interactions. I have developed a number of web servers and databases for the identification of ligand binding sites, predicting small molecule inhibitory activity, in silico screening and designing of drugs/analogues/chemicals using Bioinformatics and Chemoinformatics techniques. I joined Prof Colin Goding's group at the Ludwig Institute for Cancer Research, Oxford and Prof Francesca Buffa’s group at the Department of Oncology as a postdoc Bioinformatician in October 2014 and my work here is to analyse microarray, RNA-seq, ChIP-Seq, and proteomics datasets, and the integration of different ‘multi-omics’ datasets to identify biologically important genes and pathways deregulated in cancer. I am particularly interested in understanding the phenotypic heterogeneity in melanoma using bioinformatic and genomics approaches.
Recent publications
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Paradoxical activation of AMPK by glucose drives selective EP300 activity in colorectal cancer.
Journal article
Gutiérrez-Salmerón M. et al, (2020), PLoS biology, 18
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Lineage-Restricted Regulation of SCD and Fatty Acid Saturation by MITF Controls Melanoma Phenotypic Plasticity.
Journal article
Vivas-García Y. et al, (2020), Molecular cell, 77, 120 - 137.e9
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ABCB5
is activated by MITF andβ‐catenin and is associated with melanoma differentiation
Journal article
Louphrasitthiphol P. et al, (2019), Pigment Cell & Melanoma Research
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E2F1 proteolysis via SCF-cyclin F underlies synthetic lethality between cyclin F loss and Chk1 inhibition.
Journal article
Burdova K. et al, (2019), EMBO J
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MITF controls the TCA cycle to modulate the melanoma hypoxia response.
Journal article
Louphrasitthiphol P. et al, (2019), Pigment Cell Melanoma Res