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Features of Mammalian microRNA Promoters Emerge from Polymerase II Chromatin Immunoprecipitation Data

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  • David L Corcoran
  • Kusum V Pandit
  • Ben Gordon
  • Arindam Bhattacharjee
  • Naftali Kaminski
  • Panayiotis V Benos

Abstract

Background: MicroRNAs (miRNAs) are short, non-coding RNA regulators of protein coding genes. miRNAs play a very important role in diverse biological processes and various diseases. Many algorithms are able to predict miRNA genes and their targets, but their transcription regulation is still under investigation. It is generally believed that intragenic miRNAs (located in introns or exons of protein coding genes) are co-transcribed with their host genes and most intergenic miRNAs transcribed from their own RNA polymerase II (Pol II) promoter. However, the length of the primary transcripts and promoter organization is currently unknown. Methodology: We performed Pol II chromatin immunoprecipitation (ChIP)-chip using a custom array surrounding regions of known miRNA genes. To identify the true core transcription start sites of the miRNA genes we developed a new tool (CPPP). We showed that miRNA genes can be transcribed from promoters located several kilobases away and that their promoters share the same general features as those of protein coding genes. Finally, we found evidence that as many as 26% of the intragenic miRNAs may be transcribed from their own unique promoters. Conclusion: miRNA promoters have similar features to those of protein coding genes, but miRNA transcript organization is more complex.

Suggested Citation

  • David L Corcoran & Kusum V Pandit & Ben Gordon & Arindam Bhattacharjee & Naftali Kaminski & Panayiotis V Benos, 2009. "Features of Mammalian microRNA Promoters Emerge from Polymerase II Chromatin Immunoprecipitation Data," PLOS ONE, Public Library of Science, vol. 4(4), pages 1-10, April.
    • Handle: RePEc:plo:pone00:0005279
    DOI: 10.1371/journal.pone.0005279
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    References listed on IDEAS

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    1. Shaun Mahony & Philip E Auron & Panayiotis V Benos, 2007. "DNA Familial Binding Profiles Made Easy: Comparison of Various Motif Alignment and Clustering Strategies," PLOS Computational Biology, Public Library of Science, vol. 3(3), pages 1-14, March.
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