Pancreatic ductal adenocarcinoma (PDAC) is a form of pancreatic cancer that affects the exocrine function of the pancreas. PDAC is often hard to diagnose and has shown to also be as difficult to treat. Xeroderma pigmentosum type B (XPB), is a protein can be found in Transcription Factor II Human (TFIIH). It is known to have ATP-ase and helicase activities. The ATP-ase activities could be used to regulate the transcription within super enhancer (SE) networks. Knocking out the ATP-ase activity in XPB in the same way that triptolide does would offer a more individualized therapeutic regiment. A loss of function mutation was tested to identify whether or not the mutation was present within the strand of DNA. In order to explore the role of XPB in pancreatic cancer, a knockout clone was made through the use of the CRISPR/Cas9 genome editing technology to induce a clone in exon 2 of XPB using a plasmid with Green Fluorescent Protein (GFP) selection marker. Once the clones were successfully made, they underwent testing through the use of a Surveyor Mutation Detection Kit for standard electrophoresis. The confirmation of a functional clone lead to GFP, which contained the mutation, being chosen for further testing be compared to the wild type GFP. After the GFP D54H mutation was chosen for further testing, it was then cultured from bacteria and wild type GFP and GFP D54H underwent a restriction enzyme digest. The digest resulted in showing that GFP and GFP D54H were the same on a larger level, and that one of the only ways to prove that the mutation was present was through amplification and analysis using the mutation detection kit.

Cholangiocytes, the epithelial cells of the bile duct, are the origin of cholangiopathies which often necessitate liver transplants. Current progress in generating functional biliary organoids show potential for modelling cholangiopathies and validating therapeutic drugs. Organoids by groups Ogawa et al. and Sampaziotis et al. utilize soluble molecule induction, OP9 co-culture, and three-dimensional culture to achieve self-organizing tissues which express mature cholangiocyte markers and show cholangiocyte functionality. This thesis describes our efforts to establish a standard for functional PSC-derived bile duct tissues. By directing cell fate and patterning through external cues alone, we were able to produce CK19+ALB+ hepatoblast-like cells. These soluble molecule-induced cells also expressed EpCAM and CEBPA, suggesting the presence of early liver epithelial cells. However, inconsistent results and high levels of cell death with soluble molecule induction in early stages of differentiation prompted the development of a combinatory differentiation method which utilized multiple differentiation tools. We opted to combine transcription-factor triggered differentiation with soluble molecule-mediated differentiation to produce early biliary cells with the potential to develop into mature cholangiocytes. By combining genetic engineering through the activation of doxycycline-inducible GATA6 switch and microbead-mediated CXCR4 separation, we generated patterned tissues which expressed early biliary markers, CD146, CK19, and SOX9. In the future, three-dimensional cell culture and OP9 co-culture could improve our current results by facilitating 3D cellular self-organization and promoting NOTCH signaling for cholangiocyte maturation. Next steps for this research include optimizing media formulations, tracking gene expression over time, and testing the functionality of generated tissues.

Breast cancer is the second leading cause of disease related death in women, contributing over

40,000 fatalities annually. The severe impact of breast cancer can be attributed to a poor

understanding of the mechanisms underlying cancer metastasis. A primary aspect of cancer

metastasis includes the invasion and intravasation that results in cancer cells disseminating from

the primary tumor and colonizing distant organs. However, the integrated study of invasion and

intravasation has proven to be challenging due to the difficulties in establishing a combined tumor

and vascular microenvironments. Compared to traditional in vitro assays, microfluidic models

enable spatial organization of 3D cell-laden and/or acellular matrices to better mimic human

physiology. Thus, microfluidics can be leveraged to model complex steps of metastasis. The

fundamental aim of this thesis was to develop a three-dimensional microfluidic model to study the

mechanism through which breast cancer cells invade the surrounding stroma and intravasate into

outerlying blood vessels, with a primary focus on evaluating cancer cell motility and vascular

function in response to biochemical cues.

A novel concentric three-layer microfluidic device was developed, which allowed for

simultaneous observation of tumor formation, vascular network maturation, and cancer cell

invasion/intravasation. Initially, MDA-MB-231 disseminated from the primary tumor and invaded

the acellular collagen present in the adjacent second layer. The presence of an endothelial network

in the third layer of the device drastically increased cancer cell invasion. Furthermore, by day 6 of

culture, cancer cells could be visually observed intravasating into the vascular network.

Additionally, the effect of tumor cells on the formation of the surrounding microvascular network

within the vascular layer was evaluated. Results indicated that the presence of the tumor

significantly reduced vessel diameter and increased permeability, which correlates with prior in vivo

data. The novel three-layer platform mimicked the in vivo spatial organization of the tumor and its

surrounding vasculature, which enabled investigations of cell-cell interactions during cancer

invasion and intravasation. This approach will provide insight into the cascade of events leading up

to intravasation, which could provide a basis for developing more effective therapeutics.

The pathophysiology of Alzheimer’s disease (AD) remains difficult to precisely ascertain in part because animal models fail to fully recapitulate many aspects of the disease and postmortem studies do not allow for the study of the pathophysiology. In vitro models of AD generated with patient derived human induced pluripotent stem cells (hiPSCs) could provide new insight into disease mechanisms. Although many protocols exist to differentiate hiPSCs to neurons, standard practice relies on two-dimensional (2-D) systems, which do not accurately mimic the complexity and architecture of the in vivo brain microenvironment. This research aims to create three-dimensional (3-D) models of AD using hiPSCs, which would enhance the understanding of AD pathophysiology thereby, enabling the generation of effective therapeutics.

A genetically engineered line of human induced pluripotent stem cells was used to study the effects of gene expression on cell fate. These cells were designed to activate expression of the gene GATA6 when exposed to the small molecule doxycycline. This gene was chosen because it plays an important role in the developmental biology stages of liver formation. Because of the way the cells were engineered, a given population would have a heterogeneous expression of GATA6 because each cell could have a different copy number of the exogenous gene. This variation allows for the differentiation of multiple cell types, and is used to grow liver organoids. The early liver organoid samples were studied via immunofluorescent staining, imaging, and quantitative image analysis. It was originally hypothesized that absolute gene expression was not the most important factor in determining cell fate, but relative gene expression was. This meant that the spatial location of the cells and their local environment were critical in determining cell fate. In other words, the level of GATA6 of a cell is important, but so is the level of GATA6 in the surrounding cells, or neighborhood, of that cell. This hypothesis was analyzed with the creation of various Neighborhood Impact Factor (NIF) methods. Multiple time points of growth were analyzed to study the temporal effect, in addition to the gene expression and NIF influence on a cell’s fate. Direct gene expression level showed correlation with certain cell fate markers. In addition to GATA6 expression levels, NIF results from early and late time point experiments show statistical significance with relatively small neighborhood radii. The NIF analysis was useful for examining the effect of neighboring cells and determining the size of the neighborhood – how far cells influence one another. While these systems are complex, the NIF analysis provides a way to look at gene expression and its influence in spatial context.