Institute for Medical Engineering and Sciences
The challenge of understanding biological systems from first physical principles is what motivates my research. Biological systems are characterized by remarkable structural complexity at all levels of organization. However, we believe that simple physical models are valuable for describing these systems. My laboratory develops multidisciplinary approaches involving:
· Population genetics and evolutionary theory
A key feature of our approach is the direct collaborations we have with other scientists in the area. A number of my graduate students were co-advised by an experimentalist. Nearly every student in my lab works directly with our experimental collaborators, contributing both to experimental design, data analysis, and modeling.
Three Dimensional Organization of Chromosomes
Our goal is to synthesize the high-resolution and high-throughput information from the former with information on cell-to-cell variability and dynamics obtained via the latter. Our approach combines bioinformatic and statistical analyses of experimental data with bottom-up polymer physics models of chromosomes.
Evolutionary Dynamics of Cancer
Biophysics of Protein-DNA Interactions
Wunderlich, Z., Mirny, L.A. (2009). An optimized energy potential can predict SH2 domain-peptide interactions. Nucleic Acids Res. 1-13.
Mirny, L.A. (2008). Cell commuters avoid delays. Nature Physics, 4, 93-95.
Mirny, L.A. (2010) Nucleosome-mediated cooperativity between transcription factors. PNAS 107(52):22534-9.
Tafvizi, A., Huang, F., Fersht, A.R., Mirny, L.A., van Oijen, A.M. (2011). A single-molecule characterization of p53 search on DNA. PNAS 108(2), pp563-568.
Mirny, L.A., Needleman, D.J. (2010). Quantitative characterization of filament dynamics by single-molecule lifetime measurements. Methods Cell Biol. 95:583-600.
Page created and maintained by Xaq Pitkow