Meaningful interpretation by reanalyzing the publicly available dataset: A case study of Salvia miltiorrhiza

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  1. Maulik Patel1,
  2. Naman Mangukia1,
  3. Neha Jha1,
  4. Saumya Patel1 ,
  5. Rakesh M Rawal2*

Authors Affiliation(s)

  • 1Department of Botany, Bioinformatics and Climate change impacts management, University School of Sciences, Navrangpura, Ahmedabad 380009, INDIA
  • 2Department of Life Sciences and Food Nutrition, Gujarat University, Navrangpura, Ahmedabad 380009, INDIA

Can J Biotech, Volume 1, Special Issue, Page 31, DOI: https://doi.org/10.24870/cjb.2017-a19

*Corresponding author: rakeshmrawal@gmail.com

Abstract

MicroRNAs are a newly discovered class of non-protein small RNAs with 22-24 nucleotides and evolutionary conserved post-transcriptional regulatory RNAs, which shows an enormous role in several biological and metabolic process. Plant derived miRNA entered into the body fluid and regulated the expression of host mRNA. Salvia miltiorrhiza is an important medicinal plant known for its potent cardiovascular and anticancer activity and hence, it was selected to identify the cross kingdom regulatory mechanism between medicinal plant and human. In this study, total 8 highly stable putative novel miRNA were predicted from the publically available ESTs of Salvia miltiorrhiza, out of which 2 miRNA were found to be regulating 32 target genes in human. Functional annotation, gene ontology and network analysis were carried out based on their significance and find out the association with the prominent disease like cancer and cardiac diseases. The network analysis showed the some important network protein like SOCS2, CD274, STAT3, TRAF3 and CXCL2 with their associated pathways. The predicted miRNA have a significant potential role in cytokine, Apoptosis and EGFR receptor signaling pathways and its biological regulation. It may be further validated using in-vivo experiment for broader picture into their miRNA epigenetic mechanism and action.

References

  1. Kumar, D., Kumar, S., Ayachit, G., Bhairappanavar, S.B., Ansari, A., Sharma, P., Soni, S. and Das, J (2017) Cross-Kingdom Regulation of Putative miRNAs Derived from Happy Tree in Cancer Pathway: A Systems Biology Approach. Int J Mol Sci 18: 1191. Crossref
  2. Gupta, H., Tiwari, T., Patel, M., Mehta, A. and Ghosh, A (2015) An approach to identify the novel miRNA encoded from H. Annuus EST sequences. Genom Data 6:139-144. Crossref