An average cancer cell is driven by 5–10 mutations, roughly similar to the number of proteins encoded by an average virus.  Transformation or viral infection reconfigures cellular phenotype, but the logic of either complex perturbation is difficult to explain by inspection and intuition.  Our laboratory tackles these challenges with a systems bioengineering approach that combines quantitative measurements, computational models, experimental manipulations, and data mining.  We pursue systems bioengineering research that scales from genes and proteins in cells to tissues and tumors in animals to large-scale observations in human populations.  Explanatory and predictive understanding at the systems level will one day lead to therapeutic strategies that are innovative and tailored to the complexity of each disease.

Recent Publications

Cameron D. Griffiths, Millie Shah, William Shao, Cheryl A. Borgman, and Kevin A. Janes (2024) Three modes of viral adaptation by the heart. Science Advances, Vol 10 (46), eadp6303
[Article]
Sweatt AJ, Griffiths CD, Paudel BB, Janes KA. (2024) Proteome-wide copy-number estimation from transcriptomics.  Mol Syst Biol, 20, 1230-1256 [Pubmed] [Article]
Nguyen YTM, Sibley L, Przanowski P, Zhao XY, Kovacs M, Wang S, Jones MK, Cowan M, Liu W, Merchak AR, Gaultier A, Janes K, Zang C, Harris T, Ewald SE, Zong H. (2024) Toxoplasma gondii infection supports the infiltration of T cells into brain tumorsJ Neuroimmunol, 393, 578402 [Pubmed] [Article]