Clustering and conservation patterns of human microRNAs

  • Yael Altuvia
  • , Pablo Landgraf
  • , Gila Lithwick
  • , Naama Elefant
  • , Sébastien Pfeffer
  • , Alexei Aravin
  • , Michael J. Brownstein
  • , Thomas Tuschl
  • , Hanah Margalit*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

706 Scopus citations

Abstract

MicroRNAs (miRNAs) are ∼22 nt-long non-coding RNA molecules, believed to play important roles in gene regulation. We present a comprehensive analysis of the conservation and clustering patterns of known miRNAs in human. We show that human miRNA gene clustering is significantly higher than expected at random. A total of 37% of the known human miRNA genes analyzed in this study appear in clusters of two or more with pairwise chromosomal distances of at most 3000 nt. Comparison of the miRNA sequences with their homologs in four other organisms reveals a typical conservation pattern, persistent throughout the clusters. Furthermore, we show enrichment in the typical conservation patterns and other miRNA-like properties in the vicinity of known miRNA genes, compared with random genomic regions. This may imply that additional, yet unknown, miRNAs reside in these regions, consistent with the current recognition that there are overlooked miRNAs. Indeed, by comparing our predictions with cloning results and with identified miRNA genes in other mammals, we corroborate the predictions of 18 additional human miRNA genes in the vicinity of the previously known ones. Our study raises the proportion of clustered human miRNAs that are <3000 nt apart to 42%. This suggests that the clustering of miRNA genes is higher than currently acknowledged, alluding to its evolutionary and functional implications.

Original languageEnglish
Pages (from-to)2697-2706
Number of pages10
JournalNucleic Acids Research
Volume33
Issue number8
DOIs
StatePublished - 1 Jan 2005

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