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The Menu of Features that Define Primary MicroRNAs and Enable De Novo Design of MicroRNA Genes

MicroRNAs (miRNAs) are small regulatory RNAs processed from stem-loop regions of primary transcripts (pri-miRNAs), with the choice of stem loops for initial processing largely determining what becomes a miRNA. To identify sequence and structural features influencing this choice, we determined cleava...

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Bibliographic Details
Published in:Molecular cell 2015-10, Vol.60 (1), p.131-145
Main Authors: Fang, Wenwen, Bartel, David P.
Format: Article
Language:English
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Summary:MicroRNAs (miRNAs) are small regulatory RNAs processed from stem-loop regions of primary transcripts (pri-miRNAs), with the choice of stem loops for initial processing largely determining what becomes a miRNA. To identify sequence and structural features influencing this choice, we determined cleavage efficiencies of >50,000 variants of three human pri-miRNAs, focusing on the regions intractable to previous high-throughput analyses. Our analyses revealed a mismatched motif in the basal stem region, a preference for maintaining or improving base pairing throughout the remainder of the stem, and a narrow stem-length preference of 35 ± 1 base pairs. Incorporating these features with previously identified features, including three primary-sequence motifs, yielded a unifying model defining mammalian pri-miRNAs in which motifs help orient processing and increase efficiency, with the presence of more motifs compensating for structural defects. This model enables generation of artificial pri-miRNAs, designed de novo, without reference to any natural sequence yet processed more efficiently than natural pri-miRNAs. [Display omitted] •High-throughput analyses of pri-miRNAs reveal determinants of efficient processing•Stem pairing and a length of 35 base pairs are key structural features•A mismatched motif and primary-sequence motifs compensate for structural defects•These defining features of pri-miRNAs enable reliable de novo design of miRNA genes MicroRNAs are processed from the stem-loop regions of primary microRNAs (pri-miRNAs). Using high-throughput analyses of pri-miRNA variants, Fang and Bartel identified features of pri-miRNA stems that promote processing. Analyses of these and previously identified features provided a unifying model defining pri-miRNAs, which enabled de novo design of functional miRNA genes.
ISSN:1097-2765
1097-4164
DOI:10.1016/j.molcel.2015.08.015