Literature DB >> 23872321

Development and application of a novel reverse transcription real-time PCR method for miR-499 quantification.

Weidong Zheng1, Yuwei Di, Yinghong Liu, Ge Huang, Youwei Zheng, Yang Zhang, Wei Fang.   

Abstract

OBJECTIVES: MicroRNAs (miRNAs) are endogenous small RNAs of 21-25 nucleotides that can pair with sites in 3' untranslated regions in mRNAs of protein-coding genes to downregulate their expression. Recently, miR-499 and other miRNAs released in circulating blood have been reported as promising biomarkers for acute myocardial infarction (AMI). In the present study, we developed a novel reverse-transcription real-time PCR assay for human miR-499 quantification. DESIGN AND METHODS: miR-499 was reverse-transcribed with a 3' portion-specific primer into cDNAs. The cDNAs were further extended with overlap PCR. The extended cDNAs were determined by quantitative, real-time PCR. Synthetic miR-499 was put into the RT reaction over an optimal range to generate standard curves for absolute quantification of miR-499.
RESULTS: In the presence of 0.0001 amol/μL to 1.0×10⁶ amol/μL of synthetic miR-499, we observed a linear correlation (R²=0.999) between the logarithm of the amount of input RNA and the CT value. The miR-499 was reliably measured at a detection limit of 0.0001 amol/μL. The miR-499 measurements in spiked plasma samples indicated excellent correlation between the novel qRT PCR and classic stem loop qRT PCR. The qRT PCR analysis demonstrated that miR-499 was detected with higher levels in plasma from the patient with AMI in acute phase (AMI) compared with those from the control groups (P<0.001).
CONCLUSIONS: We developed a novel reverse-transcription real-time PCR assay for human miR-499 quantification. The good reproducibility and wide linearity range may permit more use of it in the quantification of other human miRNAs in future.
© 2013. Published by Elsevier Inc. on behalf of The Canadian Society of Clinical Chemists. All rights reserved.

Entities:  

Keywords:  AMI; Real-time reverse-transcription PCR; miR-499

Mesh:

Substances:

Year:  2013        PMID: 23872321     DOI: 10.1016/j.clinbiochem.2013.06.024

Source DB:  PubMed          Journal:  Clin Biochem        ISSN: 0009-9120            Impact factor:   3.281


  3 in total

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Authors:  Lin Yan; Wenhua Zhao; Haihua Yu; Yansen Wang; Yuanshui Liu; Chao Xie
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Journal:  Biomed Res Int       Date:  2020-04-01       Impact factor: 3.411

  3 in total

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