Supporting interdisciplinary approaches to cancer research. The CSBC initiative supports research that investigates the challenges of complexity in basic and translational cancer research through the explicit combination of experimental biology and computational modeling, multi-dimensional data analysis, and systems engineering.
The mission of the Arizona Cancer and Evolution Center (ACE) is to advance our fundamental understanding of cancer and its clinical management through the development and application of evolutionary and ecological models to cancer biology.
We aim to identify key molecular networks upstream of incompletely penetrant phenotypes to better understand the transition from tumor initiation to progression and to develop more effective therapeutic interventions.
Heterogeneity / Evolution
Drug Resistance / Sensitivity
- 02.20.20 | Workshop on Computational and Experimental Approaches to Study Tumor Heterogeneity
- 12.09.19 | Duke University Computational Biology Webinar Series for High School Students
- 12.06.19 | Summer 2020 Undergraduate Research Opportunity with CSBC and PS-ON
- 10.08.19 | Announcing a Postdoctoral Position in the Quaranta Lab at Vanderbilt University
- Robust cell detection and segmentation for image cytometry reveal Th17 cell heterogeneity. Takahiro Tsujikawa, Guillaume Thibault, Vahid Azimi, Sam Sivagnanam, Grace Banik, Casey Means, Rie Kawashima, Daniel R. Clayburgh, Joe W. Gray, Lisa M. Coussens, Young Hwan Chang, Cytometry: Part A, 2019
- Modeling Tumor Phenotypes In Vitro with Three-Dimensional Bioprinting. Langer, E.M., Allen-Petersen, B.L., King, S.M., Kendsersky, N.D., Turnidge, M.A., Kuziel, G.M., Riggers, R., Samatham, R., Amery, T.S., Jacques, S.L., Sheppard, B.C., Korkola, J.E., Muschler, J.L., Thibault, G., Chang, Y.H., Gray, J.W., Presnell S.C., Nguyen, D.G., Sears, R.C. Cell reports, 2019, 26(3), pp.608-623.