Cited by 304

Widespread regulatory activity of vertebrate microRNA* species

Yang, Jr-Shiuan, Phillips, Michael D., Betel, Doron, Mu, Ping, Ventura, Andrea, Siepel, Adam C., Chen, Kevin C., Lai, Eric C.·2011·RNA

Abstract

An obligate intermediate during microRNA (miRNA) biogenesis is an ∼22-nucleotide RNA duplex, from which the mature miRNA is preferentially incorporated into a silencing complex. Its partner miRNA* species is generally regarded as a passenger RNA, whose regulatory capacity has not been systematically examined in vertebrates. Our bioinformatic analyses demonstrate that a substantial fraction of miRNA* species are stringently conserved over vertebrate evolution, collectively exhibit greatest conservation in their seed regions, and define complementary motifs whose conservation across vertebrate 3′-UTR evolution is statistically significant. Functional tests of 22 miRNA expression constructs revealed that a majority could repress both miRNA and miRNA* perfect match reporters, and the ratio of miRNA:miRNA* sensor repression was correlated with the endogenous ratio of miRNA:miRNA* reads. Analysis of microarray data provided transcriptome-wide evidence for the regulation of seed-matched targets for both mature and star strand species of several miRNAs relevant to oncogenesis, including mir-17, mir-34a, and mir-19. Finally, 3′-UTR sensor assays and mutagenesis tests confirmed direct repression of five miR-19* targets via star seed sites. Overall, our data demonstrate that miRNA* species have demonstrable impact on vertebrate regulatory networks and should be taken into account in studies of miRNA functions and their contribution to disease states.

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  • Less abundant miR* strands were shown to repress mRNAs containing predicted miR* target sites in flies and mammals, suggesting that miR* strands are functional.

    “Consistent with this idea, the less abundant miR* strands were shown repress mRNAs containing predicted miR* target sites in flies and mammals, suggesting that miR* strands are functional (Okamura et al., 2008; Yang et al., 2010).”

    From microRNA strand selection: Unwinding the rules (2021) · cites this paper as Yang et al., 2010

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Research works printed but not linked: 6

  1. Betel D, Koppal A, Agius P, Sander C, Leslie C. 2010. Comprehensive modeling of microRNA targets predicts functional non-conserved and non-canonical sites. Genome Biol 11: R90. doi: 10.1186/gb-2010- 11-8-r90. · DOI · Paper page
  2. Brennecke J, Stark A, Russell RB, Cohen SM. 2005. Principles of microRNA-target recognition. PLoS Biol 3: e85. doi: 10.1371/ journal.pbio.0030085. · DOI
  3. Goff LA, Davila J, Swerdel MR, Moore JC, Cohen RI, Wu H, Sun YE, Hart RP. 2009. Ago2 immunoprecipitation identifies predicted microRNAs in human embryonic stem cells and neural precursors. PLoS ONE 4: e7192. doi: 10.1371/journal.pone.0007192. · DOI
  4. Lee DY, Shatseva T, Jeyapalan Z, Du WW, Deng Z, Yang BB. 2009. A 39-untranslated region (39UTR) induces organ adhesion by regu- lating miR-199a* functions. PLoS ONE 4: e4527. doi: 10.1371/ journal.pone.0004527. · DOI
  5. Stark A, Brennecke J, Russell RB, Cohen SM. 2003. Identification of Drosophila microRNA targets. PLoS Biol 1: e60. doi: 10.1371/ journal.pbio.0000060. · DOI
  6. Wu H, Ye C, Ramirez D, Manjunath N. 2009. Alternative processing of primary microRNA transcripts by Drosha generates 59 end variation of mature microRNA. PLoS ONE 4: e7566. doi: 10.1371/ journal.pone.0007566. · DOI

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Authors
Yang, J.-S., Phillips, M. D., Betel, D., Mu, P., Ventura, A., Siepel, A. C., Chen, K. C., & Lai, E. C.
Venue
RNA
Published
2010-12-22
Volume
17
Issue
2
Pages
312-326
ISSN
  • 1355-8382
  • 1469-9001
Cited by
304
References
6
Language
en

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