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Computational Analysis of Gene Expression Pattern and Identification of Potential Therapeutics Against Malignant Pleural Mesothelioma: Hybrid Approach of NGS, Microarray and Virtual Screening

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dc.contributor.author Baksh, Muqadas
dc.date.accessioned 2022-12-12T04:26:17Z
dc.date.available 2022-12-12T04:26:17Z
dc.date.issued 2022-10-01
dc.identifier.other RCMS003355
dc.identifier.uri http://10.250.8.41:8080/xmlui/handle/123456789/31793
dc.description.abstract Malignant pleural mesothelioma (MPM) arises in the lining of lungs. MPM shown non-specific symptoms at early stages. Mostly, the pleura is affected by expo- sure of asbestos. According to different studies, many factors like genetic mutation or carbon nanotubes, nano technological products, and ionizing radiation can be cause of malignant mesothelioma (MM). The difficulty in diagnosing mesothelioma leads to its worse prognosis. However, when patient diagnosed with mesothelioma, it is always fatal. The WHO database reported 92,253 deaths in 83 countries from 1994 to 2008 due to malignant mesothelioma. The aim of this study is that find a therapeutic target for MPM because all bio markers and therapeutic targets have low sensitivity or low specificity. For this study differential expression analysis was performed on 5 mi- croarrays and 2 RNA-seq datasets obtained from publicly available databases. For find the common deferentially expressed genes, we performed comparative analysis of all data sets. There were 74 common genes between Affymetrix and Agilent. Two genes were common between microarray and RNA-Seq datasets. Pathway analysis was also performed to identify effected pathways. We found TOP2A common upregulated gene in all datasets except Agilent. The most significant pathways were Cell Cycle, Mitotic, Mitotic G1 phase, G1/S transition, Cell Cycle, Molecules associated with elastic fibres, G0 and Early G1, Condensation of Prometaphase Chromosomes, G1/S- Specific Transcription and Elastic fibre formation. We performed blastp of TOP2A gene. After last step, 4FM9 protein was selected. Then protein was docked with 160 energy minimized ligands. Vinblastine Sulfate ligand showed highest binding affinity (-11.1) and its ID is CHEMBL378544. Protein-ligand interaction was performed to identify how ligands interact with selected protein. Vinblastine Sulfate show hydrogen bonds with protein on Arginine, Glutamine and Lysine amino acid. en_US
dc.description.sponsorship Dr. Rehan Zafar Paracha en_US
dc.language.iso en_US en_US
dc.publisher SINES-NUST. en_US
dc.subject Identification of Potential Therapeutics Against Malignant Pleural Mesothelioma: en_US
dc.title Computational Analysis of Gene Expression Pattern and Identification of Potential Therapeutics Against Malignant Pleural Mesothelioma: Hybrid Approach of NGS, Microarray and Virtual Screening en_US
dc.type Thesis en_US


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