Prof. Efroni Sol

emphasis on the signaling network, looks at the changes in the network during the transition from a normal state to a disease state.


My ultimate goal is to understand the cancer phenotype, in particular breast cancer, ovarian cancer, and liver cancer, and to identify targets for therapeutic intervention.


1. Efroni, S., Duttagupta, R., Cheng, J., Dehghani, H., Hoeppner, D. J., Dash, C., … & Gingeras, T. R. (2008). Global transcription in pluripotent embryonic stem cells. Cell stem cell, 2(5), 437-447.‏

2. Mascanfroni, I. D., Yeste, A., Vieira, S. M., Burns, E. J., Patel, B., Sloma, I., … & Kuchroo, V. K. (2013). IL-27 acts on DCs to suppress the T cell response and autoimmunity by inducing expression of the immunoregulatory molecule CD39. Nature immunology, 14(10), 1054.‏

3. Efroni, S., Harel, D., & Cohen, I. R. (2003). Toward rigorous comprehension of biological complexity: modeling, execution, and visualization of thymic T-cell maturation. Genome research, 13(11), 2485-2497.‏

4. Benichou, J., Ben‐Hamo, R., Louzoun, Y., & Efroni, S. (2012). Rep‐Seq: uncovering the immunological repertoire through next‐generation sequencing. Immunology, 135(3), 183-191.‏

5. Efroni, S., Schaefer, C. F., & Buetow, K. H. (2007). Identification of key processes underlying cancer phenotypes using biologic pathway analysis. PloS one, 2(5), e425.‏


• Reactive Animation
• Network Motivated Intervention
• Networks as Biomarkers
• Drug Discovery, Design and Delivery Research
• Systems Biology and Bio-Medicine