School of Engineering Department of Chemical and Biological Engineering 67 Design and Construction of Genetic Landing Pad in Probiotic Bacteria Supervisor: LAI Yong / CBE Student: XIAO Tong / BTGBM Course: UROP 1100, Summer Bioengineering through the insertion of DNA sequences is a fundamental technique used in genetic engineering and synthetic biology. In this report, parallel projects on bioengineering on probiotics using recombinant techniques are conducted. Project one is to investigate the strength of the promoter, as a part of the landing pad, in order to increase the bioengineering capability of Lactobacillus through controlling the expression of large serine recombinase. Project two is to create a library of Origin of Replications (ORIs) for Bifidobacterium as a tool to better engineer in different types of Bifidobacterium strains. Both projects used Gibson and Golden Gate to assemble the plasmids in E. coli and then present the DNA sequences in the applied strains for further verification. Design and Construction of Genetic Landing Pad in Probiotic Bacteria Supervisor: LAI Yong / CBE Student: YU Kai Lam Karl / CPEG Course: UROP 2100, Fall UROP 3100, Spring CRISPR prime editing is a powerful genome engineering tool that allows precise base-pair edits at specific locations in the genome. Unlike traditional CRISPR/Cas9 systems, which rely on double-stranded breaks and donor templates, prime editors (PEs) directly modify DNA sequences without causing breaks. Specifically, PEs can introduce point mutations, insertions, and deletions, making them versatile tools for targeted genomic modifications. The core components of prime editing include a catalytically impaired Cas9 (dCas9) fused to a reverse transcriptase (RT), along with an RNA guide that directs the PE to the desired genomic site. The PE scans the DNA strand, identifies the target sequence, and introduces precise changes by replacing one DNA base with another. This process occurs at the single-nucleotide level, minimizing off-target effects and reducing unintended mutations. Predicting the Drug Release of Supersaturating Drug Delivery Systems Supervisor: LAKERVELD Richard / CBE Student: ZHENG Jiayi / MATH-AM Course: UROP 1000, Summer This project involves the development of a numerical model to simulate drug release from supersaturating drug delivery systems. The model aims to predict cocrystal drug release based on formulation parameters and a series of equations and differential equations. By simulating the Dissolution-supersaturationprecipitation (DSP) process, this model aims to optimize drug design, particularly for drugs with low aqueous solubility. The next phase of research will focus more on the stochastic nature of nucleation rates, further refining the model to enhance its predictive power and applicability in real-world drug formulation.
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