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Computational Prediction of miRNA in Gmelina Arborea and their Role in Human Metabolomics

Received: 26 August 2013     Published: 30 September 2013
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Abstract

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

Published in American Journal of Bioscience and Bioengineering (Volume 1, Issue 5)
DOI 10.11648/j.bio.20130105.12
Page(s) 62-74
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2013. Published by Science Publishing Group

Keywords

Gmelina Arborea, miRNA, Dbest, DIANA, Local Alignment

References
[1] 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.
[2] Bartel DP , "MicroRNAs: target recognition and regulatory functions, 2009, Cell 136(2): 215–33.
[3] 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.
[4] 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,
[5] 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.
[6] Falgueras J, SeqTrim, a high-throughput pipeline for pre-processing any type of sequence read., 2010,BMC Bioinformatics,11:38
[7] Geo Pertea, TIGR Gene Indicesclustering tools (TGICL), a software system forfast clustering of large EST datasets. Bioinformatics. 2002, Vol. 19, issue 5.
[8] Adams MD, Kelley JM, Gocayne JD, Complementary DNA sequencing: expressed sequence tags and human genome project ,1991,Science 252 (2013): 1651–6.
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  • APA Style

    Alka Dubey, Swinderjeet Singh Kalra, Nandita Trivedi. (2013). Computational Prediction of miRNA in Gmelina Arborea and their Role in Human Metabolomics. American Journal of Bioscience and Bioengineering, 1(5), 62-74. https://doi.org/10.11648/j.bio.20130105.12

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    ACS Style

    Alka Dubey; Swinderjeet Singh Kalra; Nandita Trivedi. Computational Prediction of miRNA in Gmelina Arborea and their Role in Human Metabolomics. Am. J. BioSci. Bioeng. 2013, 1(5), 62-74. doi: 10.11648/j.bio.20130105.12

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    AMA Style

    Alka Dubey, Swinderjeet Singh Kalra, Nandita Trivedi. Computational Prediction of miRNA in Gmelina Arborea and their Role in Human Metabolomics. Am J BioSci Bioeng. 2013;1(5):62-74. doi: 10.11648/j.bio.20130105.12

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  • @article{10.11648/j.bio.20130105.12,
      author = {Alka Dubey and Swinderjeet Singh Kalra and Nandita Trivedi},
      title = {Computational Prediction of miRNA in Gmelina Arborea and their Role in Human Metabolomics},
      journal = {American Journal of Bioscience and Bioengineering},
      volume = {1},
      number = {5},
      pages = {62-74},
      doi = {10.11648/j.bio.20130105.12},
      url = {https://doi.org/10.11648/j.bio.20130105.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.bio.20130105.12},
      abstract = {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},
     year = {2013}
    }
    

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    T1  - Computational Prediction of miRNA in Gmelina Arborea and their Role in Human Metabolomics
    AU  - Alka Dubey
    AU  - Swinderjeet Singh Kalra
    AU  - Nandita Trivedi
    Y1  - 2013/09/30
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    DO  - 10.11648/j.bio.20130105.12
    T2  - American Journal of Bioscience and Bioengineering
    JF  - American Journal of Bioscience and Bioengineering
    JO  - American Journal of Bioscience and Bioengineering
    SP  - 62
    EP  - 74
    PB  - Science Publishing Group
    SN  - 2328-5893
    UR  - https://doi.org/10.11648/j.bio.20130105.12
    AB  - 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
    VL  - 1
    IS  - 5
    ER  - 

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Author Information
  • Department of Zoology, Bioinformatics infrastructure facility centre (DBT), Ministry of Science and Technology (Govt. of India), D.G (PG) College civil lines Kanpur, INDIA

  • Department of Chemistry, D.A-V, College Kanpur INDIA

  • Department of Biotechnology, CSJM University, Kanpur INDIA

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