Literature DB >> 29846878

Efficient and accurate analysis of microRNA using a specific extension sequence.

Jae Hyun Ahn1, Jiwon Kwak2, Jae-Hoon Lee1, Soo Suk Lee3.   

Abstract

We present here on an innovative assay for detecting miRNAs using a uniquely designed specific extension sequence that provides high efficiency and accuracy. This assay consists of poly(A) tailing and reverse transcription followed by real-time PCR. In the first step of this reaction, target miRNAs are poly(A) tailed by poly(A) polymerase followed by cDNA synthesis using poly(T) adaptors. In the second step, cDNA is hybridized to the 3'-end of a specific extension sequence that contains part of a miRNA sequence; this cDNA-specific extension sequence hybrid forms the novel PCR template. The PCR template is amplified in a SYBR Green-based quantitative real-time PCR with universal forward and reverse primers. The miR-106b in human brain total RNA could be detected quantitatively in the range of seven orders of magnitude with high linearity and reproducibility. This innovative extension-based assay has several performance advantages over the poly(A) tailing method that include lower CT values, clear gel electrophoresis images, and distinct nucleotide peaks in sequencing chromatograms.

Entities:  

Keywords:  Extension-based assay; MicroRNA (miRNA); Poly(A) tailing assay; RT-qPCR; Reverse transcription

Mesh:

Substances:

Year:  2018        PMID: 29846878     DOI: 10.1007/s11033-018-4200-1

Source DB:  PubMed          Journal:  Mol Biol Rep        ISSN: 0301-4851            Impact factor:   2.316


  42 in total

Review 1.  MicroRNAs: small RNAs with a big role in gene regulation.

Authors:  Lin He; Gregory J Hannon
Journal:  Nat Rev Genet       Date:  2004-07       Impact factor: 53.242

Review 2.  Biological functions of microRNAs: a review.

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Journal:  J Physiol Biochem       Date:  2010-10-28       Impact factor: 4.158

3.  An optimized isolation and labeling platform for accurate microRNA expression profiling.

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Journal:  RNA       Date:  2005-07-25       Impact factor: 4.942

Review 4.  Diversity of animal small RNA pathways and their biological utility.

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Journal:  Wiley Interdiscip Rev RNA       Date:  2011-11-15       Impact factor: 9.957

5.  Cleavage of Scarecrow-like mRNA targets directed by a class of Arabidopsis miRNA.

Authors:  Cesar Llave; Zhixin Xie; Kristin D Kasschau; James C Carrington
Journal:  Science       Date:  2002-09-20       Impact factor: 47.728

6.  Reduced expression of the let-7 microRNAs in human lung cancers in association with shortened postoperative survival.

Authors:  Junichi Takamizawa; Hiroyuki Konishi; Kiyoshi Yanagisawa; Shuta Tomida; Hirotaka Osada; Hideki Endoh; Tomoko Harano; Yasushi Yatabe; Masato Nagino; Yuji Nimura; Tetsuya Mitsudomi; Takashi Takahashi
Journal:  Cancer Res       Date:  2004-06-01       Impact factor: 12.701

Review 7.  Identification of microRNAs and other small regulatory RNAs using cDNA library sequencing.

Authors:  Markus Hafner; Pablo Landgraf; Janos Ludwig; Amanda Rice; Tolulope Ojo; Carolina Lin; Daniel Holoch; Cindy Lim; Thomas Tuschl
Journal:  Methods       Date:  2008-01       Impact factor: 3.608

8.  Loss of miR-133a expression associated with poor survival of breast cancer and restoration of miR-133a expression inhibited breast cancer cell growth and invasion.

Authors:  Zheng-sheng Wu; Chao-qun Wang; Ru Xiang; Xue Liu; Shan Ye; Xue-qing Yang; Gui-hong Zhang; Xiao-chun Xu; Tao Zhu; Qiang Wu
Journal:  BMC Cancer       Date:  2012-02-01       Impact factor: 4.430

9.  Real-time quantification of microRNAs by stem-loop RT-PCR.

Authors:  Caifu Chen; Dana A Ridzon; Adam J Broomer; Zhaohui Zhou; Danny H Lee; Julie T Nguyen; Maura Barbisin; Nan Lan Xu; Vikram R Mahuvakar; Mark R Andersen; Kai Qin Lao; Kenneth J Livak; Karl J Guegler
Journal:  Nucleic Acids Res       Date:  2005-11-27       Impact factor: 16.971

10.  Repertoire of microRNAs in epithelial ovarian cancer as determined by next generation sequencing of small RNA cDNA libraries.

Authors:  Stacia K Wyman; Rachael K Parkin; Patrick S Mitchell; Brian R Fritz; Kathy O'Briant; Andrew K Godwin; Nicole Urban; Charles W Drescher; Beatrice S Knudsen; Muneesh Tewari
Journal:  PLoS One       Date:  2009-04-23       Impact factor: 3.240

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