Jane Fearnside BSC. (HONS), D.Phil
University of Sheffield
30 Regent Street
I joined the university in 2009 as part of the Late Effects Research Team in the Academic Unit of Clinical Oncology. As part of this team, I was project manager for a feasibility study investigating models of follow-up care in cancer survivors. I am a co-investigator on a study looking at return to work in cancer survivors and a pilot study, Fitness To Treat: effectiveness of a clinical assessment for older men with cancer (FiTT).
I joined ScHARR as a Research Fellow in May 2013 and my current position is Manager for the Sheffield spoke of the NIHR Research Design Service Yorkshire and Humber (RDS YH). As an RDS advisor, I offer generalist advice and support to researchers to develop and design high quality research proposals for submission to the NIHR and other national, peer-reviewed funding competitions for applied health or social care research.
My previous role was a post-doctoral researcher at The Wellcome Trust Centre for Human Genetics, University of Oxford investigating the genetics of diet-induced insulin resistance. Previous research has included working on the Biological Atlas of Insulin Resistance (BAIR), an International Consortium set up to characterise the molecular basis of insulin action and insulin resistance.
My research interests are investigating the long-term consequences of cancer treatment.
I teach on the Research Methodology course for the Yorkshire and Humber Deanery and supervise Masters and medical students.
• FiTT: Fitness to treat in older men with cancer
• ATWORK: Return to work in cancer survivors
Key publications [not a full list, just key outputs]
• Waller-Evans H, Hue C, Fearnside J, Rothwell AR, Lockstone HE, Caldérari S, Wilder SP, Cazier JB, Scott J, Gauguier D
Nutrigenomics of high fat diet induced obesity in mice suggests relationships between susceptibility to fatty liver disease and the proteasome. PLoS One. 2013 Dec 6;8(12):e82825.
• Pontoizeau C, Fearnside JF, Navratil V, Domange C, Cazier JB, Fernández-Santamaría C, Kaisaki PJ, Emsley L, Toulhoat P, Bihoreau MT, Nicholson JK, Gauguier D, Dumas ME. Broad-ranging natural metabotype variation drives physiological plasticity in healthy control inbred rat strains. J Proteome Res. 2011 Apr 1;10(4):1675-89
• Diawara M, Dubois S, Fearnside J, Kaisaki P, Gauguier D, Calderari S. Expression of microRNAs in response to high fat diet. Diabetes Metab. 2011 37:A30-A31
• Collins SC, Hoppa MB, Walker JN, Amisten S, Abdulkader F, Bengtsson M, Fearnside J, Ramracheya R, Toye AA, Zhang Q, Clark A, Gauguier D, Rorsman P. Progression of diet-induced diabetes in C57BL6J mice involves functional dissociation of Ca2(+) channels from secretory vesicles. Diabetes. 2010 May;59(5):1192-201
• Fearnside JF, Dumas ME, Rothwell AR, Wilder SP, Cloarec O, Toye AA, Blancher C, Holmes E, Tatoud R, Barton RH, Scott J, Nicholson JK, Gauguier D. “Phylo-Metabonomic patterns of adaptation to high fat feeding in inbred mice”. PLoS ONE. 2008 Feb 27;3(2):e1668
• Dumas ME, Wilder SP, Bihoreau MT, Barton RH, Fearnside JF, Argoud K, D’Amato L, Wallis RH, Blancher C, Keun HC, Bounsgaard D, Scott J, Sidelmann UG, Nicholson JK, Gauguier DG. “Direct quantitative trait locus mapping of mammalian metabolic phenotypes in diabetic and normoglycemic rat models. Nat Genet. 2007 May;39(5):666-72
• Dumas, ME, Barton RH, Toye A, Cloarec O, Blancher C, Rothwell AR, Fearnside JF, Tatoud R, Lindon JC, Mitchell SC, Holmes E, McCarthy MI, Scott J, Gauguier D, Nicholson JK. “Metabolic profiling reveals a contribution of gut microbiota to fatty liver phenotype in insulin-resistant mice”. Proc Natl Acad Sci U S A. 2006 Aug 15;103(33):12511-6.
• Toye AA, Dumas ME, Blancher C, Rothwell AR, Fearnside JF, Wilder SP, Bihoreau MT, Cloarec O, Azzouzi I, Young S, Barton RH, Holmes E, McCarthy MI, Nicholson JK, Gauguier D. “Subtle metabolic and liver gene transcriptional changes underlie diet-induced fatty liver susceptibility in insulin-resistant mice”. Diabetologia. 2007 Sep;50(9):1867-79
Jane is based in Design, Trials and Statistics