Masters Degrees (Virology)
Permanent URI for this collectionhttps://hdl.handle.net/10413/7018
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Browsing Masters Degrees (Virology) by Author "Giandhari, Jennifer."
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Item Implementation of an efficient sample pooling strategy for high throughput diagnostic testing of Severe Acute Respiratory Syndrome Corona Virus-2.(2022) Anyaneji, Ugochukwu Jacob.; De Oliveira, Tulio Paiva N Andrade.; Petruccione, Francesco.; Giandhari, Jennifer.; Lessells, Richard John.; Singh, Lavanya.The rapid identification and isolation of infected individuals remains a key strategy for controlling the spread of SARS-CoV-2. Frequent testing of populations to detect infection early in asymptomatic or presymptomatic individuals can be a powerful tool for intercepting transmission, especially when the viral prevalence is low. However, RT-PCR testing – the gold standard of SARS-CoV-2 diagnosis – is expensive, making regular testing of every individual unfeasible. Sample pooling is one approach to lowering costs. By combining samples and testing them in groups the number of tests required is reduced, substantially lowering costs. Here we report on the implementation of pooling strategies using 3-d and 4-d hypercubes to test a professional sports team in South Africa. We have shown that infected samples can be reliably detected in groups of 27 and 81, with minimal loss of assay sensitivity for samples with individual Ct values of up to 32. We report on the automation of sample pooling, using a liquid-handling robot and an automated web interface to identify positive samples. We conclude that hypercube pooling allows for the reliable RT-PCR detection of SARS-CoV-2 infection, at significantly lower costs than lateral flow antigen tests.Item The role of the protease cleavage sites in viral fitness and drug resistance in HIV-1 subtype C.(2010) Giandhari, Jennifer.; Gordon, Michelle Lucille.There is an increasing number of patients failing second line highly active antiretroviral therapy (AZT, DDI and LPV/r) in South Africa, where HIV-1 subtype C predominates. Mutations at gag cleavage sites (CS) have been found to correlate with resistance mutations in protease (PR). Therefore, it is important to collect data on subtype C protease and gag sequences from patients as these mutations may affect the efficacy of protease inhibitor (PI) containing drug regimens. In this study, 30 subtype-C infected second-line failures were genotyped using the ViroSeqTM resistance genotyping kit and the gag region from these isolates were then characterised. These sequences were then compared to 30 HIV-1 subtype C infected first-line failures (PI-naïve) and subtype B, C and group M naïve sequences that were downloaded from the Los Alamos Sequence Database. Amino acid diversity at the CS was measured using Mega version 4.0. To investigate the effect of CS mutations on replication capacity, a mutation was introduced by site-directed mutagenesis (Stratagene’s QuikChange Site-Directed Mutagenesis kit). Of the 30 second-line failures that we genotyped, only 16 had resistance mutations in PR and 23 in gag. The most frequent major PI mutations were: I54V/L, M46I, V82A, and I84V and in gag CS were V390L/I and A431V. Interestingly the A431V mutation significantly correlated with protease mutations M46I/L, I54V and V82A. The virus carrying the A431V mutation in vitro was found to have a lower replication capacity compared to the wild type. These findings emphasize the need for further investigation of gag mutations and their contribution to the evolution of HIV resistance to PIs.