Leicester, England, United Kingdom
My research group is interested in understanding how protein post-translational modifications (protein phosphorylation and methylation) regulate gene expression and transcriptional processes (pre-mRNA splicing and mRNA cleavage and polyadenylation) in health and disease. Lab website: https://www.tellierlab.com/
My group is investigating how transcription and RNA processing are coordinated and regulated by protein phosphorylation, using a combination of molecular, cellular, and bioinformatics approaches. Teaching: 1. BSc Biological Sciences: BS1030 (The Molecules of Life - An Introduction to Biochemistry and Molecular Biology), BS2091 (From Genes to Proteins) 2. MSc Bioinformatics: BS7101 (Gene and Genome Analysis, co-convenor), BS7105 (Bioinformatics Programme and Advanced Topics in Bioinformatics), BS7120 (Steered Research Project, co-convenor) 3. Tutor for BSc Biological Sciences and MSc Bioinformatics students
Prof. Shona Murphy's group: 1. Regulation of gene expression in human cells with a major focus on the kinases CDK9 and CDK12 and the phosphatases PP1 and PP2A. 2. Investigation of the roles of the protein lysine methyltransferase DOT1L in the regulation of gene expression. 3. Characterisation of the effects of splicing inhibitors in human cancer cells. Collaborations with several research groups in the United Kingdom, France, Germany, and USA. Co-organizer of a workshop on Next Generation Sequencing data analysis in 2021 and 2022, including an introduction to linux, shell scripting, and R, and RNA-seq data processing. Techniques used: CRISPR/Cas9, ChIP-seq, RNA-seq, mNET-seq, proteomics, phosphoproteomics, and bioinformatics (next generation sequencing data analysis and Python programming language).
Development of a cheap, reliable, and open method to determine genetic ancestries.
Prof. Ronald Chalmers' group: Investigation of the functions of the human SETMAR protein in the epigenetic regulation of gene expression and in DNA repair. Development of a cheap high-throughput assay to identify hyperactive transposases for biotechnological purposes. Techniques used: RNA-seq, ChIP-seq, FACS, bacterial high-throughput assay, and bioinformatics (next generation sequencing data analysis and Python programming language).
Prof. Didier Mazel's group: Integrons, a bacterial gene capture system.