School of Molecular & Cell Biology (ETDs)

Permanent URI for this community

https://hdl.handle.net/10539/38016

Browse

Browsing School of Molecular & Cell Biology (ETDs) by SDG "SDG-4: Quality education"

Now showing 1 - 2 of 2
  • Thumbnail Image
    Item
    Elucidating the Structure-Function Relationships of Enterococcus faecium Nicotinate-Nucleotide Adenylyltransferase through X-Ray Crystallography, Computational Modelling and Binding Studies
    (University of the Witwatersrand, Johannesburg, 2024) Jeje, Olamide Adetomi; Pandian, Ramesh; Achilonu, Ikechukwu A.
    Nicotinate nucleotide adenylyltransferase (NNAT) is a vital enzyme at the heart of NAD biosynthesis, catalysing a crucial reaction that leads to the formation of pyridine dinucleotides. NAD+ is an essential coenzyme in numerous metabolic processes, DNA repair, and cellular signalling. Given its pivotal role, NNAT has emerged as a compelling drug target, particularly for its potential to disrupt the survival mechanisms of bacterial pathogens. By inhibiting NNAT, it is possible to undermine the metabolic integrity of these pathogens, making NNAT a promising focal point in the fight against bacterial infections and antibiotic resistance. However, understanding the structure-function relationship of Enterococcus faecium NNAT (EfNNAT) has remained elusive. Hence, this study aimed to address this gap bycharacterising EfNNAT and validating its potential as a druggable target. EfNNAT was overexpressed and purified using the Escherichia coli system and IMAC purification technique. Subsequently, biophysical characterisation was performed, followed by the determination of the three-dimensional structure in both apo and liganded forms using X-ray crystallography. High-throughput virtual screening, along with SP and XP docking, was conducted using a library of synthesizable flavonoids. Molecular dynamic simulation and fluorescence studies were employed to establish and validate the binding of identified inhibitors to EfNNAT. Successful expression and purification of EfNNAT yielded approximately 101 mg per 7.8 g of wet E. coli cells, with a purity exceeding 98%. High-resolution crystal structures of EfNNAT in native, adenine-bound, and NMN-bound forms were determined at 1.90 Å, 1.82 Å, and 1.84 Å, respectively. These structures provided insights into EfNNAT's substrate preference and revealed a potential allosteric site at the dimer interface of the NMN-bound structure. Virtual screening identified quercetin 3-O-beta-D-glucose- 7-O-beta-D-gentiobioside as the only potential inhibitor from the flavonoid library used. A 500 ns atomistic molecular dynamics simulation showed the compound interacted through hydrogen bonding and water bridges, albeit unstable within the receptor. ANS and mant-ATP fluorescence spectroscopy confirmed quercetin binding, while thermal shift assay revealed minimal impact of the inhibitor on the protein stability and structure. This study establishes a pipeline from expression and purification to structure solution and potential inhibitor identification for EfNNAT, validating its druggability. The mechanistic insights offer a foundation for advancing drug discovery efforts targeting EfNNAT and other bacterial NNAT enzymes.
  • Thumbnail Image
    Item
    Using ChIP-seq and Gene Expression Microarray data to explore transcriptional dysregulation of PXDN and PXDNL in cardiovascular diseases
    (University of the Witwatersrand, Johannesburg, 2024) Naidoo, Shiven; Gentle, Nikki; Mavri-Damelin, Demetra
    Background: Cardiovascular diseases (CVDs) remain one of the leading causes of death globally. The genes PXDN and PXDNL are both expressed in the cardiovascular system, and their dysregulation has been linked to various disorders, including CVDs, but little is known of their transcriptional regulation in the cardiovascular system or their roles in CVD pathogenesis. Methods: This study developed two custom bioinformatics pipelines in R to mine and analyse ChIP-seq data from ChIP-Atlas and gene expression microarray data from the Gene Expression Omnibus (GEO). The first pipeline used ChIPseeker to identify regulatory transcription factors (TFs) of PXDN and PXDNL in cardiovascular cells and tissues. ChIP-seq data from 400 experiments across 63 TFs was filtered to isolate TFs with high confidence binding peaks in the promoter and first intron of PXDN and PXDNL. The second pipeline used R Bioconductor packages to explore the expression profiles of PXDN, PXDNL, and their TFs in seven microarray datasets across three CVD-related contexts: cardiomyopathies, heart failure and TNF-α stimulation. Results and discussion: This study identified 27 TFs binding to PXDN and 18 TFs binding to PXDNL in cardiovascular cells. Sixteen of these TFs were shared by both PXDN and PXDNL, suggesting potential coregulatory mechanisms in cardiovascular cells where they are both expressed. Unique TFs were also identified for PXDN (11) and PXDNL (2). Differential gene expression analysis revealed no significant change in expression (log2FC > 0.5; p.adj < 0.05) for PXDN, PXDNL and many of their identified TFs in the CVD-related conditions investigated, suggesting that changes at the transcript level may not contribute to the progression of these conditions. Conclusions: This study advances our understanding of the transcriptional regulation of PXDN and PXDNL in healthy cardiovascular cells as well as their expression levels in the investigated CVD-related contexts. This study also contributes a bioinformatics pipeline which can be further developed and applied to analysing data from ChIP-Atlas and GEO. Future research can elucidate the roles of each TF in regulating PXDN and PXDNL in healthy and diseased cell lines