This project aims to 1) model the temporal dependence and interactions of the cells and cytokines involved in the inflammatory phase during normal and impaired healing and 2) compare the responses of normal versus impaired healing to suggest new routes of external interventions.
Nagaraja, S., L. Chen, J. Zhou, Y. Zhao, D. Fine, L. A. DiPietro, J. Reifman, and A. Y. Mitrophanov. Predictive analysis of mechanistic triggers and mitigation strategies for pathological scarring in skin wounds. Journal of Immunology. 2017 January 15; 198(2):832-841. [PDF 1264 KB]
Nagaraja, S., J. Reifman, and A. Y. Mitrophanov. Computational identification of mechanistic factors that determine the timing and intensity of the inflammatory response. PLOS Computational Biology. 2015 December 3; 11(12):e1004460. [PDF 2403 KB]
Nagaraja, S., A. Wallqvist, J. Reifman, and A. Y. Mitrophanov. Computational approach to characterize causative factors and molecular indicators of chronic wound inflammation. Journal of Immunology. 2014 February 15; 192(4):1824-1834. [PDF 1365 KB]