Journal of Applied Bioinformatics & Computational BiologyISSN: 2329-9533

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Achuthsankar S Nair Author

sankar.achuth@gmail.com

Subjects of specialization
Bioinformatics and Computational Biology, Soft Computing, Machine Learning, Phylogenetics Genomics, Neural Networks and Artificial Intelligence

Affiliation
Department of Computational Biology and Bioinformatics, University of Kerala, Thiruvananthapuram-695581, Kerala, India

Biography

Achuthsankar S Nair currently Professor at the Department of Computational Biology & Bioinformatics, University of Kerala. He works in genomic signal processing and machine learning. Heads the State Inter University Centre of Excellence in Bioinformatics, University of Kerala.  He had his BTech (Electrical Engineering) from College of Engineering, Thiruvananthapuram and MTech (Electrical Engineering) from IIT Bombay. He also holds an M.Phil in Computer Speech and Language Processing from the Dept of Engineering, University of Cambridge, UK and PhD from University of Kerala.

Publications

Research Article Open Access

Bioinformatics Probing of Tissue-Specific MiRNAs Overexpressed in Active Tuberculosis Reveals Induction of Multiple Cancer Pathways

Author(s):

Elvis Ndukong Ndzi, Ambily Nath IV, Achuthsankar S Nair, Chellappan Biju V, Shidhi PR, Ousman Tamgue, Alexis Ndjolo, Jules Roger Kuiate and Celine Nguefeu Nkenfou

This study attempts to discern the genes and pathways of tissue-specific miRNAs overexpressed in active tuberculosis (TB). The chosen 11 miRNAs were grouped into serum (S1), sputum (S2), and peripheral blood mononuclear cell (PBMC) (S3) classes. DIANA-miRPath v3 was used for the bioinformatics analyses. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) practices were used to pinpoint the key regulatory channels and functional annotations associated with the latent state. ECMreceptor interaction, transcriptional misregulation in cancer, nonsmall cell lung cancer, proteoglycans, and pathways in cancer were identified as the prime pathways in TB-related miRNAs. S1 and S3 transcripts showed the unifying ECM-receptor interaction with collagen (COL) and laminin (LAM) genes... view more»

DOI: 10.4172/2329-9533.1000153

Abstract HTML PDF Supplementary File

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