This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. The desire to understand tumor complexity has given rise to mathematical models to describe the tumor microenvironment. We have developed a new mathematical model for avascular tumor growth and development that spans three distinct scales. At the cellular level, a lattice Monte Carlo model describes cellular dynamics (proliferation, adhesion and viability). At the subcellular level, a Boolean network regulates the expression of proteins that control the cell cycle. At the extracellular level, reaction-diffusion equations describe the chemical dynamics (nutrient, waste, growth promoter and inhibitor concentrations). Data from experiments with multicellular spheroids were used to determine the parameters of the simulations. Starting with a single tumor cell, this model produces an avascular tumor that quantitatively mimics experimental measurements in multicellular spheroids. Based on the simulations, we predict: 1) the microenvironmental conditions required for tumor cell survival;and 2) growth promotors and inhibitors have diffusion coefficients in the range between 10-6 and 10-7 cm2/hr, corresponding to molecules of size 80-90 kD. Using the same parameters, the model also accurately predicts spheroid growth curves under different external nutrient supply conditions.
| Frumkin, Jesse P; Patra, Biranchi N; Sevold, Anthony et al. (2016) The interplay between chromosome stability and cell cycle control explored through gene-gene interaction and computational simulation. Nucleic Acids Res 44:8073-85 |
| Johnson, Leah M; Gao, Lu; Shields IV, C Wyatt et al. (2013) Elastomeric microparticles for acoustic mediated bioseparations. J Nanobiotechnology 11:22 |
| Micheva-Viteva, Sofiya N; Shou, Yulin; Nowak-Lovato, Kristy L et al. (2013) c-KIT signaling is targeted by pathogenic Yersinia to suppress the host immune response. BMC Microbiol 13:249 |
| Ai, Ye; Sanders, Claire K; Marrone, Babetta L (2013) Separation of Escherichia coli bacteria from peripheral blood mononuclear cells using standing surface acoustic waves. Anal Chem 85:9126-34 |
| Sanders, Claire K; Mourant, Judith R (2013) Advantages of full spectrum flow cytometry. J Biomed Opt 18:037004 |
| Cushing, Kevin W; Piyasena, Menake E; Carroll, Nick J et al. (2013) Elastomeric negative acoustic contrast particles for affinity capture assays. Anal Chem 85:2208-15 |
| Piyasena, Menake E; Austin Suthanthiraraj, Pearlson P; Applegate Jr, Robert W et al. (2012) Multinode acoustic focusing for parallel flow cytometry. Anal Chem 84:1831-9 |
| Austin Suthanthiraraj, Pearlson P; Piyasena, Menake E; Woods, Travis A et al. (2012) One-dimensional acoustic standing waves in rectangular channels for flow cytometry. Methods 57:259-71 |
| Vuyisich, Momchilo; Sanders, Claire K; Graves, Steven W (2012) Binding and cell intoxication studies of anthrax lethal toxin. Mol Biol Rep 39:5897-903 |
| Chaudhary, Anu; Ganguly, Kumkum; Cabantous, Stephanie et al. (2012) The Brucella TIR-like protein TcpB interacts with the death domain of MyD88. Biochem Biophys Res Commun 417:299-304 |
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