Poster

A CELL-BASED MODEL OF INTERCELLULAR MECHANICS DURING CPA EQUILIBRATION IN PREANTRAL OVARIAN FOLLICLES

eSMB2020 eSMB2020 Follow 2:30 - 3:30pm EDT, Monday - Wednesday
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Joseph S Abrams

University of Saskatchewan
"A CELL-BASED MODEL OF INTERCELLULAR MECHANICS DURING CPA EQUILIBRATION IN PREANTRAL OVARIAN FOLLICLES"
The rational design of cryopreservation protocols is an effective method for improving the outcome of sample survival. Cryopreservation of preantral ovarian follicles is an experimental therapy for fertility preservation and is of particular value in prepubescent cancer patients. Post-cryopreservation survival of this tissue is unsatisfactorily low for clinical use. Current tissue models of cryopreservation are largely focused on mass transport and the cytotoxicity of cryopreservatives, however, the potential mechanical damage to intracellular connections in response to mass transport is not considered. Intracellular connections between the granulosa cells and the oocyte in ovarian follicles, known as transzonal projections (TZPs), previously, have been shown to sever during cryopreservation. We hypothesized that the damage to TZP’s is due to variation in mass transport responses between heterogeneous cell types. Here we present a cell-based model, informed by experimentation, to capture mass transport, toxicity, and intracellular connections during the equilibration phase of cryopreservation. Using this model we explore several methods for improving cryopreservation protocols with a focus on improving TZP survival and thus post-thaw functionality. Source of Funding: This work was supported by funding from the Canadian National Science and Engineering Research Council (RGPIN-2017-06346), the US National Institute of Child Health and Human Development (5R01HD083930-02) and the National Institute of Health (P51OD011092). Funding from the National Institute of Health supports the Oregon National Primate Research Center (ONPRC. Conflict of Interest: None to disclose
eSMB2020
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Virtual conference of the Society for Mathematical Biology, 2020.