Ed Curry is a BRC-funded research fellow, leading the Bioinformatics Hub in the Division of Cancer at Imperial College. His work spans the analysis of datasets from a wide range of platforms profiling the genetic, epigenetic and transcriptional state of cells during cancer development and acquisition of drug resistance. One key area of this work involves development of methodology for the sophisticated integration of multiple molecular datasets.
Another area of Ed's bioinformatics work focuses on identifying biologically informative patterns that exist within subsets of large, heterogeneous datasets. This is particularly important when studying cancers, as mechanisms of carcinogenesis and drug resistance are rarely conserved across across all patients with a particular disease, or indeed even across all cells from an individual tumour.
Past work includes the use of mathematical models to identify transcriptional dependency patterns in large compendia of publicly available gene expression data.
et al., 2017, Jmjd2c facilitates the assembly of essential enhancer-protein complexes at the onset of embryonic stem cell differentiation, Development, Vol:144, ISSN:0950-1991, Pages:567-579
et al., 2015, A putative biomarker signature for clinically effective AKT inhibition: correlation of in vitro, in vivo and clinical data identifies the importance of modulation of the mTORC1 pathway, Oncotarget, Vol:6, ISSN:1949-2553, Pages:41736-41749
et al., 2015, Dual EZH2 and EHMT2 histone methyltransferase inhibition increases biological efficacy in breast cancer cells, Clinical Epigenetics, Vol:7, ISSN:1868-7083
et al., 2015, LARP1 post-transcriptionally regulates mTOR and contributes to cancer progression, Oncogene, Vol:34, ISSN:0950-9232, Pages:5025-5036
et al., 2015, Whole-genome characterization of chemoresistant ovarian cancer, Nature, Vol:521, ISSN:0028-0836, Pages:489-494