A Spatial Multi-Cellular Model of the Pancreatic Islet including 𝛼-, β -, and 𝛿-cells

dc.contributor.authorDai, Annie
dc.contributor.authorPalensky, David
dc.contributor.authorPiatski, Alex
dc.contributor.authorQueen, Kendall
dc.contributor.authorVockeroth, Gina
dc.contributor.authorLebair, Teresa
dc.contributor.authorPeercy, Bradford E.
dc.contributor.authorWatts, Margaret
dc.contributor.authorSherman, Arthur
dc.date.accessioned2018-10-01T13:45:29Z
dc.date.available2018-10-01T13:45:29Z
dc.date.issued2014
dc.description.abstractOur goal is to create a computational model of an islet of Langerhans, consisting of 𝛼-, β -, and 𝛿-cells. We will focus on varying the geometries and proportions of the cells in this islet, and study the hormonal secretion and reception of each cell at any point in time. We are currently considering basic cubic and spherical models, among others. Besides changing the physical shape of our islet, we will change the sequential ordering of the cell types in our model. We will have three different models (one for each cell type). While β -cells are already electronically wired, 𝛼-cell and 𝛿-cell paracrine interactions depend on a spatial-temporal model. We will use ODEs to model the behavior of these cells. We will use a diffusive PDE equation to model the propagation of the secretions . Out of computational concerns, we will hope to find and assume parameters that would allow us to use an analytical solution to the diffusive PDE. Currently, we are contemplating using the heat kernel to approximate a solution to. However, if such an approximation cannot be realized, we may just end up numerically solving the PDE's despite of the increase in computational complexity. (𝜕u/𝜕t) - Dƍ²u = f(u,t) K(t, x, y) = (1/(4ΠDt)³/²)e⁻⁽ˣ⁻ʸ⁾^²/⁴ᴰᵗ Upon creating a modeling tool, we will be able to model experimental scenarios with similar geometries and proportions to human and mouse islets given in your presentation. We hope to simulate a core and mantle geometry for the mouse model by creating a core of β-cells with an 𝛼 and 𝛿 mantle. We will see which geometries work best for such a simulation. Afterward, we will be prepared to compare our results to experimental data (already done by the NIH). We will also be able to use these models to isolate specif c cell types and compare them to each other at different points in the model, while toggling certain secretions or any system parameter to test if any paracrine interactions tame heterogeneity.en_US
dc.description.sponsorshipThese results were obtained as part of the REU Site: Interdisciplinary Program in High Performance Computing (www.umbc.edu/hpcreu) in the Department of Mathematics and Statistics at the University of Maryland, Baltimore County (UMBC) in Summer 2014. This program is funded jointly by the National Science Foundation and the National Security Agency (NSF grant no. DMS{1156976), with additional support from UMBC, the Department of Mathematics and Statistics, the Center for Interdisciplinary Research and Consulting (CIRC), and the UMBC High Performance Computing Facility (HPCF). HPCF is supported by the U.S. National Science Foundation through the MRI program (grant nos. CNS{0821258 and CNS{1228778) and the SCREMS program (grant no. DMS{0821311), with additional substantial support from UMBC. Co-author Kendall Queen was supported, in part, by the UMBC National Security Agency (NSA) Scholars Program through a contract with the NSA. Graduate assistant Teresa Lebair was supported during Summer 2014 by UMBC.en_US
dc.description.urihttps://userpages.umbc.edu/~gobbert/papers/REU2014Team3.pdfen_US
dc.format.extent25 pagesen_US
dc.genretechnical reporten_US
dc.identifierdoi:10.13016/M2RN30B8H
dc.identifier.urihttp://hdl.handle.net/11603/11405
dc.language.isoen_USen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Mathematics Department Collection
dc.relation.ispartofUMBC Computer Science and Electrical Engineering Department
dc.relation.ispartofUMBC Faculty Collection
dc.relation.ispartofUMBC Student Collection
dc.relation.ispartofseriesHPCF Technical Report;HPCF-2014-13
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
dc.subjecta computational model of an islet of Langerhansen_US
dc.subjecthormonal secretionen_US
dc.subjectcell receptionen_US
dc.subjectusing a diffusive PDE equation to model the propagation of the secretionsen_US
dc.subjectODEen_US
dc.subjectUMBC High Performance Computing Facility (HPCF)en_US
dc.titleA Spatial Multi-Cellular Model of the Pancreatic Islet including 𝛼-, β -, and 𝛿-cellsen_US
dc.typeTexten_US

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