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Besides the fact that miR-96 and miR-182 belong to the miR-182/183 cluster, their seed region (UUGGCA, nucleotides 2-7) is identical suggesting potential common properties in mRNA target recognition and cellular functions. Here, we used the mRNA encoding Glypican-3, a heparan-sulfate proteoglycan, as a model target as its short 3' untranslated region is predicted to contain one miR-96/182 site, and assessed whether it is post-transcriptionally regulated by these two microRNAs. We found that miR-96 downregulated GPC3 expression by targeting its mRNA 3'-untranslated region and interacting with the predicted site. This downregulatory effect was due to an increased mRNA degradation and depended on Argonaute-2. Despite its seed similarity with miR-96, miR-182 was unable to regulate GPC3. This differential regulation was confirmed on two other targets, FOXO1 and FN1. By site-directed mutagenesis, we demonstrated that the miRNA nucleotide 8, immediately downstream the UUGGCA seed, plays a critical role in target recognition by miR-96 and miR-182. Our data suggest that because of a base difference at miRNA position 8, these two microRNAs control a completely different set of genes and therefore are functionally independent.
Pubmed ID: 22009679
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A collection of tools for flow cytometer and application setup, data acquisition, and data analysis that help streamline flow cytometry workflows. It provides features to help users integrate flow systems into new application areas, including index sorting for stem cell and single-cell applications, as well as automation protocols for high-throughput and robotic laboratories.
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