Professor Kathryn Lilley

University of Cambridge

University departments
Department of Biochemistry
University institutes
Milner Therapeutics Institute

Position: Professor
Personal home page:

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Professor Kathryn Lilley is pleased to consider applications from prospective PhD students.

Research description

The research carried out in the Cambridge Centre for Proteomics centres around three main areas: ? Development of quantitative proteomics techniques for use in conjunction with membrane proteins, organelle proteomics and protein trafficking and applying to these methods to disease models. ? Development of experimental strategies and methods for statistical analysis of quantitative proteomics data. ? The relationship of the transcriptome to the proteome

Research Programme or Virtual Institute
Fundamental Biology of Cancer
mass spectrometry
Recent publications:
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Key publications

Dunkley TPJ, Hester S, Shadforth IP, Runions J, Weimar T, Hanton SL, Griffin JL, Bessant C, Brandizzi F, Hawes C, Watson RB, Dupree P, Lilley KS. (2006) Mapping the Arabidopsis organelle proteome. Proc. Natl Acad. Sci. 103 (17): 6518-6523 Sadowski, PG Dunkley, TPJ, Shadforth, IP,Griffin, JL, Dupree, P, Bessant, C, Lilley, KS, (2006) Quantitative proteomic approach to study subcellular localization of membrane proteins. Nature Protocols 1; 1778 ? 1789  Popular computational methods to assess multi-protein complexes derived from label-free affinity purification and mass spectrometry (AP-MS) experiments Armean IM, Lilley KS*, Trotter MW  (2013). Mol Cell Proteomics. 12(1):1-1 In vivo analysis of proteomes and interactomes using parallel affinity capture (iPAC) coupled to mass spectrometry. Rees JS, Lowe N, Armean IM, Roote J, Johnson G, Drummond E, Spriggs H, Ryder E, Russell S, St Johnston D, Lilley KS  (2011) Mol. Cell. Proteomics. Jun;10(6):M110.002386. Method for suppressing non-specific protein interactions observed with affinity resins Rees JS, and Lilley KS Methods (2011) 54(4):407-12. Taming the isobaric tagging elephant in the room in quantitative proteomics. Christoforou A, Lilley KS. Nature Methods. (2011) 8(11):911-3 MSnbase -an R/Bioconductor package for isobaric tagged mass spectrometry data visualisation, processing and quantitation Gatto L and Lilley KS (2012) Bioinformatics 28(2):288-9   The effect of organelle discovery upon sub-cellular protein localisation. Breckels LM, Gatto L, Christoforou A, Groen AJ, Lilley KS, Trotter, MWB. (2013) J Proteomics. 88:129-40.