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Linear-hairpin variable primer RT-qPCR for MicroRNA.
Lan, Lin; Guo, Qiuping; Nie, Hemin; Zhou, Chang; Cai, Qingyun; Huang, Jin; Meng, Xiangxian.
Affiliation
  • Lan L; College of Biology , Hunan University , Changsha , P. R. China . Email: xxmeng@hnu.edu.cn.
  • Guo Q; College of Biology , Hunan University , Changsha , P. R. China . Email: xxmeng@hnu.edu.cn.
  • Nie H; State Key Laboratory of Chemo/Biosensing and Chemometrics , P. R. China.
  • Zhou C; Key Laboratory for Bio-Nanotechnology and Molecular Engineering of Hunan Province , P. R. China.
  • Cai Q; College of Biology , Hunan University , Changsha , P. R. China . Email: xxmeng@hnu.edu.cn.
  • Huang J; School of Life Sciences , Hunan Normal University , Changsha , P. R. China.
  • Meng X; College of Chemistry and Chemical Engineering , Hunan University , Changsha , P. R. China . Email: jinhuang@hnu.edu.cn.
Chem Sci ; 10(7): 2034-2043, 2019 Feb 21.
Article in En | MEDLINE | ID: mdl-30842860
ABSTRACT
Here, we present a highly specific, sensitive and cost-effective system to quantify microRNA (miRNA) expression based on two-step RT-qPCR with EvaGreen detection chemistry, called linear-hairpin variable primer RT-qPCR. It takes advantage of the novel designed variable primer, which is initially designed to be linear, extending to form a hairpin structure and replacing the target miRNA for cyclic RT. Then the RT product is quantified by conventional EvaGreen based qPCR. The results show that this method has a dynamic range of 8 logs and the sensitivity is sufficient to directly detect down to 4 target miRNA molecules with a total analysis time of less than 2 hours. It is capable of discriminating between similar miRNAs, leading to an accurate representation of the mature miRNA content in a sample. The RT step can be multiplexed and the 8 miRNA profiles measured in 7 mouse tissues by this method show an excellent correlation with the commercial standard TaqMan RT-qPCR assays (r 2 = 0.9881).

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Chem Sci Year: 2019 Type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Chem Sci Year: 2019 Type: Article