Title: Computational approach to reveal the modulation of Wnt and TGF-β signalling induced by Solenopsin B, an ant venom alkaloid

Authors: Priya Das; P. Umesh; Pawan K. Dhar; Achuthsankar S. Nair; Oommen V. Oommen

Addresses: Department of Computational Biology & Bioinformatics, University of Kerala, Thiruvananthapuram-695581, Kerala, India ' College of Engineering, Aranmuka P.O. Pathanamthitta-689533, Kerala, India ' Centre for Systems & Synthetic Biology, University of Kerala, Thiruvananthapuram-695581, Kerala, India; School of Biotechnology, Jawaharlal Nehru University, New Delhi, India ' Department of Computational Biology & Bioinformatics, University of Kerala, Thiruvananthapuram-695581, Kerala, India ' Department of Computational Biology & Bioinformatics, University of Kerala, Thiruvananthapuram-695581, Kerala, India; Kerala State Biodiversity Board, Thiruvananthapuram-695011, Kerala, India

Abstract: Recently, therapeutic prospect of solenopsin A was reported with emphasis on the inhibition of angiogenesis by antagonising Akt and inhibiting insulin-mediated PI3K activation. In this study, we attempt to computationally predict the molecular genes and pathways altered by solenopsin B using microarray data. Functional analysis of differentially expressed genes i.e., gene ontology and pathway enrichment analysis using bioinformatics tools specifically indicated the gene-level variations leading to down-regulation in Wnt, ErbB and TGF-β signalling pathways.

Keywords: differential gene expression; fire ant; functional annotation; solenopsin B.

DOI: 10.1504/IJBRA.2017.087387

International Journal of Bioinformatics Research and Applications, 2017 Vol.13 No.4, pp.389 - 407

Received: 16 Jul 2016
Accepted: 24 Sep 2016

Published online: 14 Oct 2017 *

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