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Related Concept Videos

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Real-time reverse transcription-polymerase chain reaction, or Real-time RT-PCR, is an analytical tool used to determine the expression level of target genes. The method involves converting mRNA to complementary DNA with the help of an enzyme known as reverse transcriptase, followed by the PCR amplification of the cDNA. These two processes can be performed simultaneously in a single tube or separately as a two-step reaction.
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RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
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RT-qPCR-based quantification of small non-coding RNAs.

Fjoralba Zeka1, Pieter Mestdagh, Jo Vandesompele

  • 1Center for Medical Genetics, Ghent University, Ghent, Belgium.

Methods in Molecular Biology (Clifton, N.J.)
|March 21, 2015
PubMed
Summary
This summary is machine-generated.

This study details a reverse transcription quantitative polymerase chain reaction (RT-qPCR) method for accurate microRNA (miRNA) expression quantification. The protocol includes quality control steps and data normalization for reliable gene expression analysis.

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Area of Science:

  • Molecular Biology
  • Genetics
  • Biochemistry

Background:

  • MicroRNAs (miRNAs) are crucial regulators of gene expression, impacting cellular processes and disease development.
  • Accurate quantification of miRNA levels is essential for understanding their biological roles and disease associations.
  • Existing quantification methods include microarray, RNA sequencing, and RT-qPCR, each with distinct advantages.

Purpose of the Study:

  • To describe a robust quantification system for microRNA (miRNA) expression levels using reverse transcription quantitative polymerase chain reaction (RT-qPCR).
  • To present a detailed protocol encompassing reverse transcription, optional preamplification, and qPCR.
  • To incorporate quality control measures for reliable and accurate miRNA expression data.

Main Methods:

  • Detailed protocol for reverse transcription (RT) reaction.
  • Optional preamplification (PA) step for enhanced sensitivity.
  • Quantitative polymerase chain reaction (qPCR) for miRNA detection and quantification.
  • Implementation of three quality control (QC) steps using spike-in synthetic miRNAs to assess RNA extraction, purity, and inter-run variability.

Main Results:

  • Demonstration of a sensitive, flexible, and accurate method for miRNA expression quantification.
  • Successful implementation of QC steps to ensure data reliability.
  • Effective raw data preprocessing and normalization techniques for high-throughput miRNA profiling.

Conclusions:

  • RT-qPCR is a highly sensitive, flexible, and accurate method for quantifying miRNA and general RNA expression.
  • The described protocol, with integrated QC, provides a reliable workflow for miRNA expression analysis.
  • The methodology facilitates accurate data preprocessing and normalization for comprehensive miRNA profiling studies.