CRISPR/Cas9-Mediated Gene Editing of ARG1 in Cell Lines and Primary Cells

Arginase 1 deficiency, a urea cycle disorder resulting from an inability of the body to convert arginine into urea, results in hyperargininemia and sporadic episodes of hyperammonemia. Arginase 1 deficiency can lead to a range of developmental disorders and progressive spastic diplegia in children, and current therapeutic options are limited. Clustered regularly interspaced short palindromic repeat (CRISPR) /CRISPR associated protein (Cas) 9 gene editing systems serve as a novel means of treating genetic disorders such as Arginase 1 (ARG1) deficiency, and must be thoroughly examined to determine their curative capabilities. In these experiments numerous guide RNAs and CRISPR/Cas9 systems targeting the ARG1 gene were designed and observed by heteroduplex assay for their targeting capabilities and cleavage efficiencies in multiple cell lines. The CRISPR/Cas9 system utilized in these experiments, along with a panel of guide RNAs targeting various locations in the arginase 1 gene, successfully produced targeted cleavage in HEK293, MCF7, A549, K562, HeLa, and HepG2 cells; however, targeted cleavage in human dermal fibroblasts, blood outgrowth endothelial cells, and induced pluripotent stem cells was not observed. Additionally, a CRISPR/Cas system involving partially inactivated Cas9 was capable of producing targeted DNA cleavage in intron 1 of ARG1, while a Cas protein termed Cpf1 was incapable of producing targeted cleavage. These results indicate a complex set of variables determining the CRISPR/Cas9 systems’ capabilities in the cell lines and primary cells tested. By examining epigenetic factors and alternative CRISPR/Cas9 gene targeting systems, the CRISPR/Cas9 system can be more thoroughly considered in its ability to act as a means towards editing the genome of arginase 1-deficient individuals.

ROLE OF CAVEOLIN-3 IN THE MODULATION OF HERG POTASSIUM CHANNEL

The human ether-a-go-go-related gene (hERG) encodes the pore-forming subunit of the rapidly activating delayed rectifier potassium channel (IKr) that is important for cardiac repolarization. Previously, we have discovered that hERG channels rapidly internalize in low extracellular K+ ([K+]o). In cell culture, this process is driven by the endocytic protein, caveolin-1 (Cav1), which is an integral player in the caveolae-dependant endocytosis pathway. However, in the heart, Caveolin-3 (Cav3) is, in fact, the predominant form in the myocyte, and thus may play a direct role in regulating hERG expression in the heart. Thus, I hypothesize that this reduction of hERG conductance in cardiac myocytes derives from the presence of Cav3, which is integral regulator of hERG homeostasis innately in the heart. To investigate the effect of Cav3 on hERG, I overexpressed Cav3 in human embryonic kidney 293 (HEK-293) cells stably expressing hERG channels. Cav3 overexpression significantly and specifically decreased both the hERG current amplitude and the mature channel expression in normal culture conditions. Co-immunoprecipitation analysis and confocal imaging demonstrated an association between hERG and Cav3 in HEK cells as well as rat and rabbit cardiomyocytes. Mechanistically, I discovered that Cav3 possesses a faster turnover rate compared to Cav1, and can enhance hERG degradation through up-regulating mature channel ubiquitination via the ubiquitin ligase, NEDD4-2. Knockdown of Cav3 in neonatal cardiac myocytes also enhanced hERG expression. My data indicate that Cav3 participates in hERG trafficking, and is an important regulator of hERG channel homeostasis in cardiac myocytes. This information provides a platform for future intervention of the hERG-induced type-2 long QT syndrome (LQTS).

Access Point Association Coordination in Densely Deployed 802.11 Wireless Networks

Dense deployment of wireless local area network (WLAN) access points (APs) is an important part of the next generation Wi-Fi and standardization (802.11ax) efforts are underway. Increasing demand for WLAN connectivity motivates such dense deployments, especially in geographical areas with large numbers of users, such as stadiums, large enterprises, multi-tenant buildings, and urban cities. Although densification of WLAN APs guarantees coverage, it is susceptible to increased interference and uncoordinated association of stations (STAs) to APs, which degrade network throughput. Therefore, to improve network throughput, algorithms are proposed in this thesis to optimally coordinate AP associations in the presence of interference. In essence, coordination of APs in dense WLANs (DWLANs) is achieved through coordination of STAs' associations with APs. While existing approaches suggest tuning of APs' beacon powers or using transmit power control (TPC) for association control, here, the signal-to-interference-plus-noise ratio (SINRs) of STAs and the clear channel assessment (CCA) threshold of the 802.11 MAC protocol are employed. The proposed algorithms in this thesis enhance throughput and minimize coverage holes inherent in cell breathing and TPC techniques by not altering the transmit powers of APs, which determine cell coverage. Besides uncoordinated AP associations, unnecessary frequent transmission deferment is envisaged as another problem in DWLANs due to the clear channel assessment aspect of the carrier sensing multiple access collision avoidance (CSMA/CA) scheme in 802.11 standards and the short spatial reuse distance between co-channel APs. To address this problem in addition to AP association coordination, an algorithm is proposed for CCA threshold adjustment in each AP cell, such that CCA threshold used in one cell mitigates transmission deferment in neighboring cells. Performance evaluation reveals that the proposed association optimization algorithms achieve significant gain in throughput when compared with the default strongest signal first (SSF) association scheme in the current 802.11 standard. Also, further gain in throughput is observed when the CCA threshold adjustment is combined with the optimized association. Results show that when STA-AP association is optimized and CCA threshold is adjusted in each cell, throughput improves. Finally, transmission delay and the number of packet re-transmissions due to collision and contention significantly decrease.