Professor Bennett is collaborating with colleagues to understand, characterize and predict stem cells and the stem cell niche using powerful machine learning and data mining methods applied to genomic, proteomic, kineomic, mass-spectometry traditional assay and image data. Bennett has a particular interest in osteogenic differentiation. The team's analysis of proteomics data introduced the concept of gene focus as a basis of stem cell differentiation.
Yener, B., Acar, E., Agius, P., Bennett, K., Vandenberg, S.L., Plopper, G.E. (2008). Multiway modeling and analysis in stem cell systems biology. BMC Syst Biol. 2008 Jul 14;2(1):63. (Epub ahead of print).
Bennett, K.P., Bergeron, C., Acar, E., Klees, R.F., Vandenberg, S.L., Yener, B., Plopper, G.E. (2007). Proteomics reveals multiple routes to the osteogenic phenotype in mesenchymal stem cells. BMC Genomics. 2007 Oct 19;8:380.
Ward, D.F. Jr., Salasznyk, R.M., Klees, R.F., Backiel, J., Agius, P., Bennett, K., Boskey, A., Plopper, G.E. (2007). Mechanical strain enhances extracellular matrix-induced gene focusing and promotes osteogenic differentiation of human mesenchymal stem cells through an extracellular-related kinase-dependent pathway. Stem Cells Dev. 2007 Jun;16(3):467-80.