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2019 NIMBioS-NSA REU Program

Modeling cell differentiation

Cassandra Azeredo-Tseng, Biochemistry and Applied Math, New College of Florida
Michael Luo, Applied Mathematics, College of New Jersey
Natalie Randall, Math and Computer Science, Austin College

Dr. Nick Panchy, NIMBioS Postdoctoral Fellow
Dr. Tian Hong, Biochemistry and Cellular & Molecular Biology, Univ. of Tennessee

Cell photo. Project Description. Epithelial-to-mesenchymal transition (EMT) is a form of cell differentiation that is essential to normal human development, but also play a role in cancer pathogenesis. Though this process has been view as a discrete transformation of structural epithelial cells to mobile mesenchymal cells, there is a growing body of evidence which suggests that diverse outcomes can result from EMT. The aim of this project will be to integrate single-cell expression, cap-analysis of gene expression (CAGE) data, and a number of online cancer databases to characterize different cell states following chemically induced EMT. To do this, we will be employing a combination of machine learning and ODE models of gene expression with the aim of understanding how different EMT regulators lead to different outcomes and influence the prognosis of cancer of derived from these cells.

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From 2008 until early 2021, NIMBioS was supported by the National Science Foundation through NSF Award #DBI-1300426, with additional support from The University of Tennessee, Knoxville. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
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