Selected Recent PublicationsMar 2014Ly T, Ahmad Y, Shlien A, Soroka D, Mills A, Emanuele MJ, Stratton MR, Lamond AI A proteomic chronology of gene expression through the cell cycle in human myeloid leukemia cellseLife. 2014;3:e01630. doi: 10.7554/eLife.0163 PMID: 24596151 AbstractView PublicationAug 2013Kirkwood, K.J., Ahmad, Y., Larance, M. and Lamond, A.I. Characterization of native protein complexes and protein isoform variation using size-fractionation-based quantitative proteomicsMol Cell Proteomics. 2013;12(12):3851-73. doi: 10.1074/mcp.M113.032367 PMID: 24043423 AbstractView PublicationJan 2013Agostinho A, Meier B, Sonneville R, Jagut M, Woglar A, Blow J, Jantsch V, Gartner A. Combinational regulation of meiotic holliday juntion resolution in C. elegans by HIM-6 (BLM) helicase, SLX-4, and the SLX-1, MUS-81 and XPF-1 nucleases.Molecular Cell (accepted for publication) View PublicationAug 2013Yamada, K., Ono, M., Bensaddek, D., Lamond, A.I. and Rocha, S. FMN2 is a novel regulator of the cyclin-dependent kinase inhibitor p21Cell Cycle. 2013;12(15):2348-54. doi: 10.4161/cc.25511 PMID: 23839046 AbstractView PublicationNov 2016Larance M, Kirkwood KJ, Tinti M, Murillo AB, Ferguson MA. and Lamond AI Global Membrane Protein Interactome Analysis using In vivo Crosslinking and MS-based Protein Correlation ProfilingMolecular & Cellular Proteomics, mcp. O115.055467. Gene Regulation & Human Disease Mechanisms Many forms of human disease result from the misregulation of one or more genes that consequently alter how cells behave; for example altering metabolism and/or affecting the rate of cell division and cell movement. In most cases this is due to differences in the complex array of proteins made by diseased cells, as compared with healthy cells. We therefore are developing methods that allow us to identify in detail the full set of proteins that cells make under different growth conditions and in parallel we are developing new computational software to help us analyse and understand the resulting large volume of data that our experiments generate. We use a multidisciplinary approach to study the regulation of gene expression and human disease mechanisms. Our research combines quantitative approaches, including mass spectrometry-based proteomics, microscopy and computational methods for ‘big data’ analytics. We are studying biochemical mechanisms regulating key biological processes, including alternative splicing of messenger RNA precursors, cell cycle progression, stress responses and stem cell differentiation. A focus of our current work is on identifying common effectors of invasion and metastasis that are activated by oncogenes and epigenetic mechanisms affecting phenotypes in transformed cells. This includes detailed analysis of differential protein expression in immune cell subtypes and cancer cells, in both human and mouse models. We are also studying human iPS models that can be differentiated in culture and engineered with clinically relevant mutations. Another focus for my current research is the characterisation of drug-like, small molecule pre-mRNA splicing modulators we have identified. A major component of our research is the development of innovative computational tools for the management, visualisation and analysis of research data and metadata. We have created state of the art data management and analysis tools featuring custom designed, user-friendly graphical interfaces (see; www.peptracker.com/epd). Our computational tools make extensive use of innovative technologies created in the commercial domain for big data transactions that we have adapted to provide novel solutions for interactive data analysis and sharing.