Imperial College London


Faculty of MedicineDepartment of Surgery & Cancer

Research Fellow



+44 (0)20 7594 2125e.curry




Open PlanInstitute of Reproductive and Developmental BiologyHammersmith Campus





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.



Mura M, Hopkins TG, Michael T, et al., 2015, LARP1 post-transcriptionally regulates mTOR and contributes to cancer progression, Oncogene, Vol:34, ISSN:0950-9232, Pages:5025-5036

Patch A-M, Christie EL, Etemadmoghadam D, et al., 2015, Whole-genome characterization of chemoresistant ovarian cancer, Nature, Vol:521, ISSN:0028-0836, Pages:489-U458

van Veldhoven K, Polidoro S, Baglietto L, et al., 2015, Epigenome-wide association study reveals decreased average methylation levels years before breast cancer diagnosis, Clinical Epigenetics, Vol:7, ISSN:1868-7083

Curry E, Green I, Chapman-Rothe N, et al., 2015, Dual EZH2 and EHMT2 histone methyltransferase inhibition increases biological efficacy in breast cancer cells, Clinical Epigenetics, Vol:7, ISSN:1868-7083

Cheraghchi-Bashi A, Parker CA, Curry E, 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

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