The Education and Training Unit to develop and implement modules for integrative training for graduate and postdoctoral students and junior investigators. ETU will accomplish its mission by leverage the rich training infrastructure available across its collaborating institutions to provide a diverse and engaging experience for trainees. This existing multidisciplinary training infrastructure - which encompasses disciplines as diverse as biology, chemistry, physics and engineering -will provide ETU with: (1) a pool of graduate and postdoctoral trainees, as well as junior and senior investigators who participate as trainees and as mentors;(2) training environments and laboratories for hands-on training;and (3) didactic coursework and internal seminars. ETU will establish a 'Biology, Oncology, Physical Science &Engineering (BiOPSE) track by which trainees can engage in a set of didactic activities, seminars, research rotations in MC-START laboratories and clinical rotations over 2-3 years. We will develop three different sub-tracks within BiOPSE: (1) predoctoral;(2) postdoctoral;(3) junior investigator;and (4) senior investigator. A BiOPSE trainee's course of study will include three (2-year trainees) or six (for 3-year trainees) 2-month research rotations and an optional 1-month clinical rotation. Primary mentors will help structure coursework for trainees to assure that didactic experiences in cancer biology, physics, chemistry, mathematics, computing and engineering. The Banbury Conference Center will host a yearly course for all BiOPSE mentors, trainees, the MC-START Director, senior Co-I and other ETU training faculty. ETU also will utilize a distance learning approach that replies on a state-of-the-art cyberinfrastructure to stimulate development of lasting ties between institutions, schools, departments and centers with different cultures, and in order to enhance the triangulated communications between a trainee and two mentors, to communicate expectations of graduate students and expectations of the student/faculty relationship, and to centralize and make more broadly available critical resources;and mechanisms to exchange trainees among participating institutions.

Public Health Relevance

The Education and Training Unit will plan modules for integrative training and will develop mechanisms to exchange trainees. The orienting principle is to develop a truly multidisciplinary course of training that provides intensive learning experiences in cancer biology, physical sciences and engineering, in order to facilitate the development of a new cadre of researcher with expertise that spans these disciplines.

National Institute of Health (NIH)
National Cancer Institute (NCI)
Specialized Center--Cooperative Agreements (U54)
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Special Emphasis Panel (ZCA1-SRLB-9)
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University of Southern California
Los Angeles
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Yan, Huaming; Romero-Lopez, Monica; Frieboes, Hermann B et al. (2017) Multiscale Modeling of Glioblastoma Suggests that the Partial Disruption of Vessel/Cancer Stem Cell Crosstalk Can Promote Tumor Regression Without Increasing Invasiveness. IEEE Trans Biomed Eng 64:538-548
Garvey, Colleen M; Gerhart, Torin A; Mumenthaler, Shannon M (2017) Discrimination and Characterization of Heterocellular Populations Using Quantitative Imaging Techniques. J Vis Exp :
Tennill, Thomas A; Gross, Mitchell E; Frieboes, Hermann B (2017) Automated analysis of co-localized protein expression in histologic sections of prostate cancer. PLoS One 12:e0178362
Yan, Huaming; Romero-López, Mónica; Benitez, Lesly I et al. (2017) 3D Mathematical Modeling of Glioblastoma Suggests That Transdifferentiated Vascular Endothelial Cells Mediate Resistance to Current Standard-of-Care Therapy. Cancer Res 77:4171-4184
Ng, Chin F; Frieboes, Hermann B (2017) Model of vascular desmoplastic multispecies tumor growth. J Theor Biol 430:245-282
Leonard, Fransisca; Curtis, Louis T; Yesantharao, Pooja et al. (2016) Enhanced performance of macrophage-encapsulated nanoparticle albumin-bound-paclitaxel in hypo-perfused cancer lesions. Nanoscale 8:12544-52
Baugh, Evan H; Simmons-Edler, Riley; Müller, Christian L et al. (2016) Robust classification of protein variation using structural modelling and large-scale data integration. Nucleic Acids Res 44:2501-13
Ghaffarizadeh, Ahmadreza; Friedman, Samuel H; Macklin, Paul (2016) BioFVM: an efficient, parallelized diffusive transport solver for 3-D biological simulations. Bioinformatics 32:1256-8
Juarez, Edwin F; Lau, Roy; Friedman, Samuel H et al. (2016) Quantifying differences in cell line population dynamics using CellPD. BMC Syst Biol 10:92
Park, Seung-Min; Lee, Jae Young; Hong, Soongweon et al. (2016) Dual transcript and protein quantification in a massive single cell array. Lab Chip 16:3682-8

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