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Dicer-Dependent Biogenesis of Small RNAs Derived from 7SL RNA

Overview of attention for article published in PLOS ONE, July 2012
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Title
Dicer-Dependent Biogenesis of Small RNAs Derived from 7SL RNA
Published in
PLOS ONE, July 2012
DOI 10.1371/journal.pone.0040705
Pubmed ID
Authors

Yong-Feng Ren, Guiling Li, Jianmin Wu, Yong-Feng Xue, Yi-Jiang Song, Lu Lv, Xue-Jiao Zhang, Kai-Fu Tang

Abstract

It has been reported that decreased Dicer expression leads to Alu RNAs accumulation in human retinal pigmented epithelium cells, and Dicer may process the endogenous SINE/B1 RNAs (the rodent equivalent of the primate Alu RNAs) into small interfering RNAs (siRNAs). In this study, we aimed to address whether Dicer can process Alu RNAs and their common ancestor, 7SL RNA. Using Solexa sequencing technology, we showed that Alu-derived small RNAs accounted for 0.6% of the total cellular small RNAs in HepG2.2.15 cells, and the abundance decreased when Dicer was knocked down. However, Alu-derived small RNAs showed different characteristics from miRNAs and siRNAs, the classic Dicer-processed products. Interestingly, we found that small RNAs derived from 7SL RNA accounted for 3.1% of the total cellular small RNAs in the control cells, and the abundance dropped about 3.4 folds in Dicer knockdown cells. Dicer-dependent biogenesis of 7SL RNA-derived small RNAs was validated by northern blotting. In vitro cleavage assay using the recombinant human Dicer protein also showed that synthetic 7SL RNA was processed by Dicer into fragments of different lengths. Further functional analysis suggested that 7SL RNA-derived small RNAs do not function like miRNAs, neither do they regulate the expression of 7SL RNA. In conclusion, the current study demonstrated that Dicer can process 7SL RNA, however, the biological significance remains to be elucidated.

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Geographical breakdown

Country Count As %
United States 1 2%
Denmark 1 2%
Unknown 47 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 27%
Student > Ph. D. Student 11 22%
Student > Bachelor 5 10%
Student > Master 5 10%
Student > Doctoral Student 3 6%
Other 6 12%
Unknown 6 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 25 51%
Biochemistry, Genetics and Molecular Biology 12 24%
Medicine and Dentistry 3 6%
Computer Science 1 2%
Immunology and Microbiology 1 2%
Other 1 2%
Unknown 6 12%