N5. Education, Training, and Outreach Program Description and Aims. The overall goal of this Component is to create a seamless interface between the fields of cancer biology and the quantitative and/or physical sciences (e.g., mathematics, computational biology, engineering, physics) to promote integration of disciplines and contribute to the expansion of the Cancer Systems Biology field. The Education and Training Components will target undergraduate and graduate students, postdoctoral fellows, as well as faculty. The Outreach Component aims to target both the broader cancer biology and quantitative research communities.
Aim 1. To educate a new generation of scientists on the application of mathematical and computational modeling to the study of cancer. We will implement focused activities including hands-on workshops, short meetings, and graduate courses.
Aim 2. To train experimental biologists on the application of mathematical and computational modeling tools and those from the quantitative (physical) sciences on the current experimental systems used to populate models. Execution of this Aim will be centered on exchange programs and Summer schools.
Aim 3 : To expand our reach to the scientific community by sharing experimental data, analysis tools, and models developed within the Center. We will implement sharing data, models, and analysis tools developed in the Backbone of our Center with the scientific community at large.
|Franco, Omar E; Tyson, Darren R; Konvinse, Katherine C et al. (2016) Altered TGF-Î±/Î² signaling drives cooperation between breast cancer cell populations. FASEB J 30:3441-3452|
|Werner, Benjamin; Scott, Jacob G; Sottoriva, Andrea et al. (2016) The Cancer Stem Cell Fraction in Hierarchically Organized Tumors Can Be Estimated Using Mathematical Modeling and Patient-Specific Treatment Trajectories. Cancer Res 76:1705-13|
|Harris, Leonard A; Frick, Peter L; Garbett, Shawn P et al. (2016) An unbiased metric of antiproliferative drug effect in vitro. Nat Methods 13:497-500|
|Gerlee, Philip; Kim, Eunjung; Anderson, Alexander R A (2015) Bridging scales in cancer progression: mapping genotype to phenotype using neural networks. Semin Cancer Biol 30:30-41|
|Enderling, Heiko (2015) Cancer stem cells: small subpopulation or evolving fraction? Integr Biol (Camb) 7:14-23|
|Nichol, Daniel; Jeavons, Peter; Fletcher, Alexander G et al. (2015) Steering Evolution with Sequential Therapy to Prevent the Emergence of Bacterial Antibiotic Resistance. PLoS Comput Biol 11:e1004493|
|Frick, Peter L; Paudel, Bishal B; Tyson, Darren R et al. (2015) Quantifying heterogeneity and dynamics of clonal fitness in response to perturbation. J Cell Physiol 230:1403-12|
|Gallaher, Jill; Babu, Aravind; Plevritis, Sylvia et al. (2014) Bridging population and tissue scale tumor dynamics: a new paradigm for understanding differences in tumor growth and metastatic disease. Cancer Res 74:426-35|
|Leander, R; Allen, E J; Garbett, S P et al. (2014) Derivation and experimental comparison of cell-division probability densities. J Theor Biol 359:129-35|
|Scott, Jacob G; Fletcher, Alexander G; Maini, Philip K et al. (2014) A filter-flow perspective of haematogenous metastasis offers a non-genetic paradigm for personalised cancer therapy. Eur J Cancer 50:3068-75|
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