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The Kemp Lab

Redox Systems Biology at Georgia Tech

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Rivet, C.A., Hill, A.S., Lu, H., Kemp, M.L. "Predicting cytotoxic T cell age from multivariate analysis of static and dynamic biomarkers" Molecular and Cellular Proteomics, 10(3), 2011.

Adimora N.J., Jones, D.P., Kemp, M.L. "A model of redox kinetics implicates the thiol proteome in cellular hydrogen peroxide responses". Antioxidants & Redox Signaling, 13(6):731-43, 2010.

Hirsch, A., Rivet, C., Zhang, B., Kemp, M.L., Lu, H. "Parallel multi-time point cell stimulation and lysis on-chip for studying early signaling events in T-cell activation", Lab on a Chip, 9:536-544, 2009.

Kemp, M., Go, Y.M., Jones, D.P. “Non-equilibrium thermodynamics of thiol/disulfide redox systems: A perspective on redox systems biology”. Free Radical Biology and Medicine, 44(6):921-37, 2008.

Wille, L., Kemp, M.L., Sandy, P., Lewis, C.L., Lauffenburger, D.A. “Epi-allelic Erk1 and Erk2 knockdown series for quantitative analysis of T cell Erk regulation and IL-2 production”. Molecular Immunology, 44(12):3085-91, 2007.

Kemp, M.L.,Wille, L., Lewis, C.L., Nicholson, L., Lauffenburger, D.A. “Quantitative network signal combinations downstream of TCR activation can predict IL-2 production response”. Journal of Immunology, 178(8):4984-92, 2007.

Vinnakota, K., *Kemp, M.L., Kushmerick, M.J. “Dynamics of Muscle Glycogenolysis Modeled with pH Time-Course Computation and pH Dependent Reaction Equilibria and Enzyme Kinetics”. Biophysical Journal, 91(4):1264-87, 2006.

Lambeth, M.J., Kushmerick, M.J., Marcinek, D.J., Conley, K.E. “Basal glycogenolysis in mouse skeletal muscle: in vitro model predicts in vivo fluxes”. Molecular Biology Reports, 29 (1-2):135-139, 2002.

Lambeth, M.J., Kushmerick, M.J. “A computational model for glycogenolysis in skeletal muscle”. Annals of Biomedical Engineering, 30 (6):808-827, 2002.

Link to PubMed citations