Abstract
Recognition sites for microRNAs (miRNAs) have been reported to be located in the 3' untranslated regions of transcripts. In a computational screen for highly conserved motifs within coding regions, we found an excess of sequences conserved at the nucleotide level within coding regions in the human genome, the highest scoring of which are enriched for miRNA target sequences. To validate our results, we experimentally demonstrated that the let-7 miRNA directly targets the miRNA-processing enzyme Dicer within its coding sequence, thus establishing a mechanism for a miRNA/Dicer autoregulatory negative feedback loop. We also found computational evidence to suggest that miRNA target sites in coding regions and 3' UTRs may differ in mechanism. This work demonstrates that miRNAs can directly target transcripts within their coding region in animals, and it suggests that a complete search for the regulatory targets of miRNAs should be expanded to include genes with recognition sites within their coding regions. As more genomes are sequenced, the methodological approach that we used for identifying motifs with high sequence conservation will be increasingly valuable for detecting functional sequence motifs within coding regions.
MeSH Terms
Algorithms
Animals
Base Sequence
Cattle
Computational Biology
Conserved Sequence
Dogs
Feedback, Physiological/genetics
Humans
Mice
MicroRNAs/metabolism
Rabbits
Rats
Ribonuclease III/genetics
Sequence Analysis, DNA
Software
Chemicals
MicroRNAs
mirnlet7 microRNA, human
Ribonuclease III
Authors & Affiliations
3 authors, click to expand affiliations / ORCID
Forman Joshua J
Department of Molecular Biology, Princeton University, Princeton, NJ 08544, USA.
Legesse-Miller Aster
Coller Hilary A
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