Literature DB >> 29608426

Identification of Hub Genes and Pathways in Zika Virus Infection Using RNA-Seq Data: A Network-Based Computational Approach.

Rahul Brahma1, Sanathoi Gurumayum1, Leimarembi Devi Naorem1, Mathavan Muthaiyan1, Jeyakodi Gopal2, Amouda Venkatesan1.   

Abstract

Zika virus (ZIKV), a single-strand RNA flavivirus, is transmitted primarily through Aedes aegypti. The recent outbreaks in America and unexpected association between ZIKV infection and birth defects have triggered the global attention. This vouches to understand the molecular mechanisms of ZIKV infection to develop effective drug therapy. A systems-level understanding of biological process affected by ZIKV infection in fetal brain sample led us to identify the candidate genes for pharmaceutical intervention and potential biomarkers for diagnosis. To identify the key genes, transcriptomics data (RNA-Seq) with GSE93385 of ZIKV (Strain: MR766) infected human fetal neural stem cell are analyzed. In total, 1,084 differentially expressed genes (DEGs) are identified, that is, 471 upregulated and 613 downregulated genes. Further analysis such as the gene ontology term suggested that the downregulated genes are mostly enriched in defense response to virus, receptor binding, laminin binding, extracellular matrix, endoplasmic reticulum, and for upregulated DEGs: translation initiation, RNA binding, cytosol, and nucleosome are enriched. And through pathway analysis, systemic lupus erythematosus (SLE) is found to be the most enriched pathway. Protein-protein interaction (PPI) network is constructed to find the hub genes using STRING database. The seven key genes namely cyclin-dependent kinase 1 (CDK1), cyclin B1 (CCNB1), histone cluster 1 H2B family member K, (HIST1H2BK) histone cluster 1 H2B family member O (HIST1H2BO), and histone cluster 1 H2B family member B (HIST1H2BB), polo-like kinase 1 (PLK1), and cell division cycle 20 (CDC20) with highest degree are found to be hub genes using Centiscape, a Cytoscape plugin. The modules of PPI network using Molecular Complex Detection plugin are found significant in structural constituent of ribosome, defense response to virus, nucleosome, SLE, extracellular region, and regulation of gene silencing. Thus, identified key hub genes and pathways shed light on molecular mechanism that may contribute to the discovery of novel therapeutic targets and development of new strategies for the intervention of ZIKV disease.

Entities:  

Keywords:  RNA sequencing; Zika virus; biological network; hub genes; pathways

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Year:  2018        PMID: 29608426     DOI: 10.1089/vim.2017.0116

Source DB:  PubMed          Journal:  Viral Immunol        ISSN: 0882-8245            Impact factor:   2.257


  4 in total

1.  Zika Virus Infection of Human Mesenchymal Stem Cells Promotes Differential Expression of Proteins Linked to Several Neurological Diseases.

Authors:  Walter O Beys-da-Silva; Rafael L Rosa; Lucélia Santi; Markus Berger; Sung Kyu Park; Alexandre R Campos; Paula Terraciano; Ana Paula M Varela; Thais F Teixeira; Paulo M Roehe; André Quincozes-Santos; John R Yates; Diogo O Souza; Elizabeth O Cirne-Lima; Jorge A Guimarães
Journal:  Mol Neurobiol       Date:  2018-10-30       Impact factor: 5.590

2.  The Transcriptional and Protein Profile From Human Infected Neuroprogenitor Cells Is Strongly Correlated to Zika Virus Microcephaly Cytokines Phenotype Evidencing a Persistent Inflammation in the CNS.

Authors:  Morganna C Lima; Leila R de Mendonça; Antonio M Rezende; Raquel M Carrera; Conceição E Aníbal-Silva; Matthew Demers; Leonardo D'Aiuto; Joel Wood; Kodavali V Chowdari; Michael Griffiths; Antonio R Lucena-Araujo; Manoel Barral-Netto; Elisa A N Azevedo; Renan W Alves; Pablo C S Farias; Ernesto T A Marques; Priscila M S Castanha; Claire L Donald; Alain Kohl; Vishwajit L Nimgaonkar; Rafael F O Franca
Journal:  Front Immunol       Date:  2019-08-16       Impact factor: 7.561

3.  Gene expression profiling of corona virus microarray datasets to identify crucial targets in COVID-19 patients.

Authors:  Priyanka Ramesh; Shanthi Veerappapillai; Ramanathan Karuppasamy
Journal:  Gene Rep       Date:  2020-11-27

4.  Comparison of Transcriptomic Signatures between Monkeypox-Infected Monkey and Human Cell Lines.

Authors:  Do Thi Minh Xuan; I-Jeng Yeh; Chung-Che Wu; Che-Yu Su; Hsin-Liang Liu; Chung-Chieh Chiao; Su-Chi Ku; Jia-Zhen Jiang; Zhengda Sun; Hoang Dang Khoa Ta; Gangga Anuraga; Chih-Yang Wang; Meng-Chi Yen
Journal:  J Immunol Res       Date:  2022-09-01       Impact factor: 4.493

  4 in total

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