A useful method of identifying of miRNAs which can down-regulate Zeb-2 View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2013-12

AUTHORS

Shigeyoshi Oba, Takayuki Mizutani, Etsu Suzuki, Hiroaki Nishimatsu, Masao Takahashi, Yousuke Ogawa, Kenjiro Kimura, Yasunobu Hirata, Toshiro Fujita

ABSTRACT

BACKGROUND: Although identification of the target mRNAs of micro RNAs (miRNAs) is essential to understanding their function, the low complementarity between miRNAs and their target mRNAs has complicated this process. In this study, we sought to identify miRNAs which reduce the expression of the transcription factor Zeb-2, a transcriptional repressor of E-cadherin which is known to be down regulated by members of the miR-200 family (miR-200a,b,c miR-429, and miR-141). FINDINGS: We first used a computational target predicting system to identify 82 candidate miRNAs which bound the 3'UTR region of the Zeb-2 mRNA. Of these 82 miRNAs, precursors for 51 were available in our miRNA precursor library. Pre-miR™ Precursor Molecules for these 51 miRNAs were co-transfected into NIH3T3 cells with a luciferase reporter vector containing the 3'UTR region of the Zeb-2 mRNA. Seven miRNAs (miR-141, mi-183, miR-200a, miR-200b, miR-200c, miR-429 and miR-666-5p) were shown to down-regulate luciferase activity and Western blotting analysis confirmed that Pre-miR™ Precursor Molecules for these seven miRNAs induced expression of E-cadherin and miScript target protector against miR-183 and miR-666-5p abrogated this effect. Moreover, an Anti-miR™ miRNA Inhibitor targeting miR-183 and miR-666-5p repressed expression of E-cadherin. CONCLUSIONS: We have established a method to identify miRNAs that bind the 3'UTR region of the Zeb-2 mRNA and that induce expression of E-cadherin, possibly by down-regulating the expression of Zeb-2. Our method may be more widely applicable for identifying miRNAs that bind target mRNA 3'UTR regions and down-regulate the expression of proteins encoded by these mRNAs. More... »

PAGES

470

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/1756-0500-6-470

DOI

http://dx.doi.org/10.1186/1756-0500-6-470

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1004840567

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/24245745


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Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1186/1756-0500-6-470'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/1756-0500-6-470'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/1756-0500-6-470'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/1756-0500-6-470'


 

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