The multi-scale models envisioned by MC-START are predicated on the ability to share the latest measurements and data produced by the various research projects and integrate them into multi-scale models. To achieve this objective, we must have the ability to publish, discover, and retrieve data from the research projects and integrate them into multi-scale models must become a regular occurrence, not an exceptional event. For the results of these models to be scientifically valid, it is not simply enough to be able to access the underlying data, but we must be able to account for the details of its production, to record the provenance of both in vivo and model based data production, so as to enable repeatability, and to explore alternative formulations of the models is a methodical and structured approach. Furthermore, we must have a means by which computational models can be published and made both across the participations in MC-START and also eventually to the research community at large. It must be possible for members of one research project to have the ability so execute models produced by another research project, combining them to form the multi-scale models that are the underpinning of MC-START.

Public Health Relevance

MC-START is structured around a set of interconnected research projects that are looking at tumor behavior from a variety of perspectives. As a consequence, the results are heterogeneous sets of data that need to be combined into integrated multi-scale models that form the unique perspective and approach proposed by MC-START. This project provides this essential infrastructure required to create the integrated model,

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Specialized Center--Cooperative Agreements (U54)
Project #
5U54CA143907-04
Application #
8381758
Study Section
Special Emphasis Panel (ZCA1-SRLB-9)
Project Start
Project End
Budget Start
2012-08-01
Budget End
2013-07-31
Support Year
4
Fiscal Year
2012
Total Cost
$128,007
Indirect Cost
Name
University of Southern California
Department
Type
DUNS #
072933393
City
Los Angeles
State
CA
Country
United States
Zip Code
90089
Flinders, Colin; Lam, Larry; Rubbi, Liudmilla et al. (2016) Epigenetic changes mediated by polycomb repressive complex 2 and E2a are associated with drug resistance in a mouse model of lymphoma. Genome Med 8:54
Sims, Lee B; Curtis, Louis T; Frieboes, Hermann B et al. (2016) Enhanced uptake and transport of PLGA-modified nanoparticles in cervical cancer. J Nanobiotechnology 14:33
Lee, Jung-Rok; Sato, Noriyuki; Bechstein, Daniel J B et al. (2016) Experimental and theoretical investigation of the precise transduction mechanism in giant magnetoresistive biosensors. Sci Rep 6:18692
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
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
Li, Yulin; Deutzmann, Anja; Choi, Peter S et al. (2016) BIM mediates oncogene inactivation-induced apoptosis in multiple transgenic mouse models of acute lymphoblastic leukemia. Oncotarget 7:26926-34
Garvey, Colleen M; Spiller, Erin; Lindsay, Danika et al. (2016) A high-content image-based method for quantitatively studying context-dependent cell population dynamics. Sci Rep 6:29752
Lee, Jung-Rok; Bechstein, Daniel J B; Ooi, Chin Chun et al. (2016) Magneto-nanosensor platform for probing low-affinity protein-protein interactions and identification of a low-affinity PD-L1/PD-L2 interaction. Nat Commun 7:12220
Chiu, Chi-Li; Patsch, Katherin; Cutrale, Francesco et al. (2016) Intracellular kinetics of the androgen receptor shown by multimodal Image Correlation Spectroscopy (mICS). Sci Rep 6:22435
Hosoya, Hitomi; Dobroff, Andrey S; Driessen, Wouter H P et al. (2016) Integrated nanotechnology platform for tumor-targeted multimodal imaging and therapeutic cargo release. Proc Natl Acad Sci U S A 113:1877-82

Showing the most recent 10 out of 110 publications