Document Type
Article
Publication Date
7-13-2015
Abstract
Recent advances in next-generation sequencing technologies have revealed that cellular functional RNAs are not always expressed as single entities with fixed terminal sequences but as multiple isoforms bearing complex heterogeneity in both length and terminal sequences, such as isomiRs, the isoforms of microRNAs. Unraveling the biogenesis and biological significance of heterogenetic RNA expression requires distinctive analysis of each RNA variant. Here, we report the development of dumbbell PCR (Db-PCR), an efficient and convenient method to distinctively quantify a specific individual small RNA variant. In Db-PCR, 5'- and 3'-stem-loop adapters are specifically hybridized and ligated to the 5'- and 3'-ends of target RNAs, respectively, by T4 RNA ligase 2 (Rnl2). The resultant ligation products with 'dumbbell-like' structures are subsequently quantified by TaqMan RT-PCR. We confirmed that high specificity of Rnl2 ligation and TaqMan RT-PCR toward target RNAs assured both 5'- and 3'-terminal sequences of target RNAs with single nucleotide resolution so that Db-PCR specifically detected target RNAs but not their corresponding terminal variants. Db-PCR had broad applicability for the quantification of various small RNAs in different cell types, and the results were consistent with those from other quantification method. Therefore, Db-PCR provides a much-needed simple method for analyzing RNA terminal heterogeneity.
Recommended Citation
Honda, Shozo and Kirino, Yohei, "Dumbbell-PCR: a method to quantify specific small RNA variants with a single nucleotide resolution at terminal sequences." (2015). Computational Medicine Center Faculty Papers. Paper 14.
https://jdc.jefferson.edu/tjucompmedctrfp/14
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial 4.0 License
PubMed ID
25779041
Comments
This article has been peer reviewed. It is the author’s final published version in Nucleic acids research, Volume 43, Issue 12, July 2016, Page e77.
The published version is available at DOI: 10.1093/nar/gkv218. Copyright © Oxford University Press