Skip to Main Content

Basic Search

Skip to Search Results
 
 
 

Left Column

Filters

Right Column

Search Results

Search Results

(Total results 2)

Mini-Tools

 
 

Search Report

  • 1. Roth, Alexander Modeling Liver Diseases Using Hepatic Cell Microarrays

    Doctor of Engineering, Cleveland State University, 2018, Washkewicz College of Engineering

    Hepatocellular carcinoma (HCC) is an invasive and aggressive cancer of the liver that arises due to chronic cirrhosis. Research into understanding HCC has focused on two-dimensional (2D) and three-dimensional (3D) technologies to simulate the liver microenvironment and use animal models to model how HCC affects the rest of the body. 3D hydrogel models are desired because they can mimic the transport behavior observed in vivo by structurally mimicking the extracellular matrix (ECM) without the ethical concerns of animal models. However, hydrogels can be toxic to cells and require optimal procedures for appropriate handling. In this study, we created 3D models of liver diseases on high-throughput platforms. First, we optimized hydrogel attachment on micropillar chips by coating them with 0.01 w/v % PMA-OD in ethanol. Next, we optimized the protocol for encapsulation of viable Hep3B cells PuraMatrix peptide hydrogel, using a higher seeding density (6 * 106 cells/mL) and two post-print media washes. Then, we established the ability to transduce adenoviruses in situ in encapsulated cells and successfully demonstrated their dose-response behavior towards six compounds. In the second part, we scaled up to using the microwell chip platform and optimized the polymerization of oxidized methacrylated alginate (OMA) for Hep3B encapsulation. First, we plasma-treated microwell chips for 15 minutes at high RF to minimize bubbles. Then, we optimized micro-scale photopolymerization conditions at 45 % methacrylated OMA (OMA-45) and 2 w/v % OMA with 0.05 w/v % PI and reflective background under either low intensity, long duration (2.5 mW/cm2 for 2 minutes) or high intensity, short duration (4.0 mW/cm2, 30 seconds) light by testing cell viability at these conditions. Third, we used these OMA conditions to develop a high-throughput, real-time 3D cell migration assay on a newly engineered 384-pillar plate with sidewalls. We first developed a set of a protocols where out-of-focus cells ar (open full item for complete abstract)

    Committee: Moo-Yeal Lee Ph.D. (Committee Chair); Joah Belovich Ph.D. (Committee Member); Nolan Holland Ph.D. (Committee Member); Chandra Kothapalli Ph.D. (Committee Member); Xue-Long Sun Ph.D. (Committee Chair) Subjects: Biomedical Engineering; Biomedical Research; Chemical Engineering; Materials Science; Nanoscience
  • 2. Yen, Terence 3D Microarray: How 3D Bioprinting can Reduce the Growing Cost of Pharmaceutical Drug Development

    Master of Sciences, Case Western Reserve University, 2017, Biology

    The process of drug development continues to grow longer and more expensive every year. This is due in large part to the growing rate of drug candidate failure in both the preclinical discovery phase and the clinical trial phase. Through literary analysis, we will review both the process of developing a new drug, and the real capitalized cost of drug development. 3D bioprinting, and more specifically, the high throughput screening technology presented by 3D Microarray Inc. offers a potential solution to this problem. Miniaturized human tissue constructs created through microarray bioprinting could drastically reduce the cost of drug development by shortening the time involved in drug discovery, as well as aiding in the disqualification of inappropriate candidates at a much earlier stage. 3D Microarray's bioprinting technology should be explored further, and the company has several business model options to consider as they move forward.

    Committee: Christopher Cullis (Advisor); Moo-Yeal Lee (Committee Member); Jean Welter (Committee Member); Mike Benard (Committee Chair) Subjects: Biology; Chemical Engineering