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http://hdl.handle.net/11375/25323
Title: | THE DESIGN AND CHARACTERIZATION OF MICROPHYSIOLOGICAL PLATFORMS TO MODEL THE HUMAN PLACENTA |
Other Titles: | MICROPHYSIOLOGICAL MODELS OF THE HUMAN PLACENTA |
Authors: | Wong, Michael K. |
Advisor: | Raha, Sandeep |
Department: | Medical Sciences |
Keywords: | placenta;trophoblast;microphysiological;spheroid;cell culture;model;pregnancy;barrier |
Publication Date: | 2020 |
Abstract: | The human placenta facilitates many key functions during pregnancy, including uterine invasion, vascular remodeling, hormone secretion, immune regulation, and maternal-fetal exchange. Placental research, however, has been limited in part by the unrepresentative nature of traditional models. The objective of this doctoral thesis was to build and characterize novel, in vitro models that reintegrated important anatomical and environmental elements of the human placenta, thus enabling more physiologically-accurate assessments of placental function. In our first model, we manipulated the thickness of the extracellular matrix surface to promote the self-assembly of trophoblast cells into three-dimensional (3D) aggregates that exhibited increased genetic and functional markers of syncytial fusion. In our second model, we established a high-throughput platform to generate 3D trophoblast spheroids that underwent dynamic invasion and migration, expressed transcriptomic profiles redolent of the extravillous trophoblast phenotype, and responded to various drugs relevant to pregnancy. In our third model, we developed a trophoblast-endothelial co-culture model of the placental barrier that underwent syncytial fusion, exhibited size-specific barrier permeability, and functioned under physiologically-relevant oxygen tensions. In conclusion, our models may each serve as valuable tools for researchers, contribute to investigations of different aspects of placental biology, and aid in the screening of drugs and toxins for pregnancy. |
URI: | http://hdl.handle.net/11375/25323 |
Appears in Collections: | Open Access Dissertations and Theses |
Files in This Item:
File | Description | Size | Format | |
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wong_michael_k_2020jan_phd.pdf | Michael K Wong PhD Thesis | 6.31 MB | Adobe PDF | View/Open |
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