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Differential Expression Analysis of ZIKV Infected Human RNA Sequence Reveals Potential Genetic Biomarkers

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Book cover Bioinformatics and Biomedical Engineering (IWBBIO 2019)

Part of the book series: Lecture Notes in Computer Science ((LNBI,volume 11465))

Abstract

Zika virus (ZIKV) infection is considered to be an emerging viral outbreak due to its link to diseases like microcephaly, Guillain-Barre Syndrome in human which is an alarming concern. In this study, we implemented our reproducible RNA-seq analysis pipeline to quantify RNA-seq data in terms of transcripts, and gained common expression results from intersection of three differential expression identification tools. This uncovered significant DEGs of high consensus, significant DEGs of moderate consensus, significant DEGs of low consensus. Moreover, the highly significant DEGs provided us with six DEGs which are transcription factors, which may be involved in the altered biological process somehow. The presented study provides researchers with highly reproducible pipeline for viral studies as well as the novel computational findings for the transcription factors (TFs) involved in ZIKV infection which could enable the researchers to develop new therapeutic strategies to tackle the infection.

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Acknowledgement

The author A. Jabeen acknowledges Maulana Azad National Fellowship-Junior Research Fellowship (JRF) received from the UGC, Government of India.

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Authors and Affiliations

  1. Department of Biosciences, Jamia Millia Islamia, New Delhi, 110025, India

    Almas Jabeen & Nadeem Ahmad

  2. Department of Computer Science, Jamia Millia Islamia, New Delhi, 110025, India

    Khalid Raza

Authors
  1. Almas Jabeen
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  2. Nadeem Ahmad
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  3. Khalid Raza
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Corresponding author

Correspondence to Khalid Raza .

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Editors and Affiliations

  1. Department of Computer Architecture and Computer Technology Higher Technical School of Information Technology and Telecommunications Engineering, CITIC-UGR, Granada, Spain

    Ignacio Rojas

  2. ETSIIT, University of Granada, Granada, Spain

    Olga Valenzuela

  3. CITIC-UGR, University of Granada, Granada, Spain

    Fernando Rojas

  4. Fundacion Progreso y Salud, Granada, Spain

    Francisco Ortuño

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Jabeen, A., Ahmad, N., Raza, K. (2019). Differential Expression Analysis of ZIKV Infected Human RNA Sequence Reveals Potential Genetic Biomarkers. In: Rojas, I., Valenzuela, O., Rojas, F., Ortuño, F. (eds) Bioinformatics and Biomedical Engineering. IWBBIO 2019. Lecture Notes in Computer Science(), vol 11465. Springer, Cham. https://doi.org/10.1007/978-3-030-17938-0_26

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  • DOI: https://doi.org/10.1007/978-3-030-17938-0_26

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-17937-3

  • Online ISBN: 978-3-030-17938-0

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