Computational Prediction of miRNA in Gmelina Arborea and their Role in Human Metabolomics
American Journal of Bioscience and Bioengineering
Volume 1, Issue 5, October 2013, Pages: 62-74
Received: Aug. 26, 2013;
Published: Sep. 30, 2013
Views 1237 Downloads 104
Alka Dubey, Department of Zoology, Bioinformatics infrastructure facility centre (DBT), Ministry of Science and Technology (Govt. of India), D.G (PG) College civil lines Kanpur, INDIA
Swinderjeet Singh Kalra, Department of Chemistry, D.A-V, College Kanpur INDIA
Nandita Trivedi, Department of Biotechnology, CSJM University, Kanpur INDIA
Follow on us
Micro RNA are the noncoding class of RNA which plays major role post transcriptional regulation of genes and 19-22 nt in length and endogenous in nature .In this study miRNA Gmelina arborea are predicted along with possible target genes , A total of 44 ESTs are taken from dbEST database and proceed and trimmed through EGassembler. This contig sequence was now used to find out the putative miRNA by performing a local alignment with miRNA of Arabidopsis thaliana retrieved from miRBase. The targets were scanned by hybridizing screened ESTs with the UTRs of human using DIANA tar software. Finally 6 putative miRNAs were found to hybridize with the various targets of signal transduction and apoptosis that play significant role in preventing disease like cancer, blood borne disease, and other urinary infections and various study indicated that is possesses antioxidants, diuretic, anthelmintic activity, cardio protective, anti diabetic, immunomodulatory, antipyretic and analgesic, antimicrobial in the treatment of jaundice, piles bases on their targets
Gmelina Arborea, miRNA, Dbest, DIANA, Local Alignment
To cite this article
Swinderjeet Singh Kalra,
Computational Prediction of miRNA in Gmelina Arborea and their Role in Human Metabolomics, American Journal of Bioscience and Bioengineering.
Vol. 1, No. 5,
2013, pp. 62-74.
VL Saxena and A Dwivedi ,insilico identification of miRNA and their target prediction from Japanese encephalitis. Journal of Bioinformatics and Sequence Analysis, 2013, Vol. 5(2), pp. 25-33.
Bartel DP , "MicroRNAs: target recognition and regulatory functions, 2009, Cell 136(2): 215–33.
Lelandais-Brière C, Sorin C, Declerck M, Benslimane A, Crespi M, Hartmann C ,Small RNA diversity in plants and its impact in development ,2010,Current Genomics 11 (1): 14–23.
A.S.R. Anjaneyulu, A.Madhusudhana rao, V.Kameswara Rao and L.Ramachandra, Novel hydroxy lignans from the heartwood of gmelina arborea Row, Tetrahedron, 1977, Volume 33, Issue 1, Pages 133–143,
Rashmi Rameshwari1, Divya Singhal, Rachit Narang,Apurvi Maheshwari, and T. V. Prasad, IN SILICO PREDICTION OF MIRNA IN Curcuma longa AND THEIR ROLE IN HUMAN METABOLOMICS. International Journal of Advanced Biotechnology and Research,2013 Vol 4, Issue 2, pp 253-259.
Falgueras J, SeqTrim, a high-throughput pipeline for pre-processing any type of sequence read., 2010,BMC Bioinformatics,11:38
Geo Pertea, TIGR Gene Indicesclustering tools (TGICL), a software system forfast clustering of large EST datasets. Bioinformatics. 2002, Vol. 19, issue 5.
Adams MD, Kelley JM, Gocayne JD, Complementary DNA sequencing: expressed sequence tags and human genome project ,1991,Science 252 (2013): 1651–6.