Summary of research outputs

Policy outputs:

• Contributed via interview to:
  • POSTnote 697: Data science skills in the UK workforce. 2023. link
• Co-author of:
  • XNET Recommendations for UK research funders: Sweeping away barriers to interdisciplinary research. March 2024. link
  • HEPI Blog Post. July 2024. link
  • Workshop report: Lessons from Equality Diversity and Inclusion: How to improve Interdisciplinary Research Culture - Recommendations for research institutes. 2024. [report in preparation].
• Co-organiser of the following workshops (responsible for workshop development, participant recruitment, and review of final report):
  • Preparing the roadmap: prioritising cross-disciplinary training needs with industry. 2023. Report by E Woolen link
  • PPI workshop: “Creating & Nurturing Diverse Teams for Effective Biomedical Science". 2023. link

Research Publications

• The long-range gene regulatory landscape of cerebellar granule neuron progenitors. George C, Riegman K, Whittaker D, Ahmed MU, Yun H, Huntly BJP, Sims D, Osborne C, Basson MA. [in preparation]
• The dynamic gene regulatory landscape of the mouse brain in response to sleep deprivation. Bafna A, Dang Q, Taylor L, Walsh S, Sims D, George C & Jagannath A. 2024. BioRxiv
• The Mycoplasma hyorhinis genome displays differential chromatin accessibility. Taylor L, Walsh S, Ashton A, Varga N, Kapoor S, George C, Jagannath A. 2023. Heliyon.15;9(6):e17362.
• Mapping Human Transient Transcriptomes Using Single Nucleotide Resolution 4sU Sequencing (SNU-Seq). Lorenz P, Lamstaes A, Fischl H, Xi S, Saukko-Paavola A, Murray S, Brown T, George C, Furger A, Angel A, Mellor J. 2021. bioRxiv
• Transcriptional changes are regulated by metabolic pathway dynamics but decoupled from protein levels. Feltham JE, Xi S, Murray SC, Wouters M, Urdiain-Arraiza J, Heilig R, George C, Townley AF, Roberts E, Kessler BM, Liberatori S, Charles PD, Angel A, Fischer R, Mellor J. 2020. bioRxiv
• Exhausted CD4+ T Cells during Malaria Exhibit Reduced mTORc1 Activity Correlated with Loss of T-bet Expression Villegas-Mendez A, Khandelwal G, McGowan LM, Dookie RS, Haley MJ, George C, Sims D, Lord GM, Sinclair LV, Jenner RG, Couper KN. 2020. J Immunol, 205, 1608-1619.
• CGAT-core: a python framework for building scalable, reproducible computational biology workflows. Cribbs AP, Luna-Valero S, George CL, Sudbery IM, Berlanga-Taylor AJ, Sansom SN, Smith T, Ilott NE, Johnson J, Scaber J, Brown K, Sims D, Heger A. 2019. F1000 Research, 8:377.
• Ultradian glucocorticoid exposure directs gene-dependent and tissue-specific mRNA expression patterns in vivo. George CL, Birnie MT, Flynn B, Kershaw YM, Lightman SLL & Conway-Campbell BL. 2017. Molecular and Cellular Endocrinology, 439, 46–53.
• Chapter 2: Dynamic Regulation of Chromatin Modification and Transcription by GR and the Steroid Receptors. Epigenetics and Neuroendocrinology. George CL & Conway-Campbell BL, 2016. Editors: Spengler D, Binder E. Springer International Publishing.
• Year in Glucocorticoids 2013: Timing, binding and environments. Lightman SL & George CL. 2013. Nature Reviews Endocrinology, 10, 71-72.
• Transcription factor interactions in genomic nuclear receptor function. George CL, Lightman SL & Biddie SC, 2011. Epigenomics, 3, 471–485.
• The HSP90 molecular chaperone cycle regulates cyclical transcriptional dynamics of the glucocorticoid receptor and its coregulatory molecules CBP/p300 during ultradian ligand treatment. Conway-Campbell BL, George CL, Pooley JR, Knight DM, Norman MR, Hager GL & Lightman SL, 2011. Molecular Endocrinology, 25(6), 944-954.