Computational Identification of Regulatory Factors Involved in MicroRNA Transcription

  • Praveen Sethupathy
  • Molly Megraw
  • M. Inmaculada Barrasa
  • Artemis G. Hatzigeorgiou
Conference paper

DOI: 10.1007/11573036_43

Part of the Lecture Notes in Computer Science book series (LNCS, volume 3746)
Cite this paper as:
Sethupathy P., Megraw M., Barrasa M.I., Hatzigeorgiou A.G. (2005) Computational Identification of Regulatory Factors Involved in MicroRNA Transcription. In: Bozanis P., Houstis E.N. (eds) Advances in Informatics. PCI 2005. Lecture Notes in Computer Science, vol 3746. Springer, Berlin, Heidelberg

Abstract

MicroRNAs (miRNAs) are non-coding RNA molecules that bind to and translationally repress mRNA transcripts. Currently ~1345 miRNAs have been identified in at least twelve species through experimental and computational approaches. Here, we report on a field not yet thoroughly investigated: the transcriptional regulation of miRNAs. Adequately locating miRNA promoter regions will provide a reasonable search space for computational and experimental studies to determine regulatory factors that drive miRNA transcription. Insight in to the factors that control miRNA transcription may provide clues regarding more complicated mechanisms of miRNA expression control in a developing organism. We use a novel Expressed Sequence Tag (EST) based approach to approximate promoter regions for intergenic miRNAs in order to detect specific and over-represented regulatory elements. We find that miRNA promoter regions may be enriched for binding sites that recruit transcription factors (TFs) involved in development, including several homeobox TFs such as HOXA3 and Ncx. Additionally, we use clustering techniques to cluster miRNAs according to tissue specificity to find tissue-specific regulatory elements. We find a few over-represented binding sites in brain-specific miRNA promoter regions, some of which recruit TFs involved specifically with the development of the nervous system. Based on the results we suggest an interesting mechanism for in vivo miRNA expression control. The EST-based pri-miRNA assembly program will be made available at the website of the DIANA-group by the time of publication (http://diana.pcbi.upenn.edu).

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Praveen Sethupathy
    • 1
    • 2
    • 5
  • Molly Megraw
    • 1
    • 2
    • 5
  • M. Inmaculada Barrasa
    • 4
  • Artemis G. Hatzigeorgiou
    • 1
    • 2
    • 3
  1. 1.Center for BioinformaticsUniversity of PennsylvaniaPhiladelphiaUSA
  2. 2.Department of Genetics, School of MedicineUniversity of PennsylvaniaPhiladelphiaUSA
  3. 3.Department of Computer and Information Science, School of EngineeringUniversity of PennsylvaniaPhiladelphiaUSA
  4. 4.Department of Cancer Biology, Abramson Family Cancer Research Institute, School of MedicineUniversity of PennsylvaniaPhiladelphiaUSA
  5. 5.Genomics and Computational Biology Graduate Group, School of MedicineUniversity of PennsylvaniaPhiladelphiaUSA

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