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Probe-based Real-time PCR Approaches for Quantitative Measurement of microRNAs
Published on: April 14, 2015
RNA pre-amplification enables large-scale RT-qPCR gene-expression studies on limiting sample amounts
Joëlle Vermeulen1, Stefaan Derveaux, Steve Lefever
1Center for Medical Genetics, Ghent University Hospital, Ghent, Belgium. Joelle.Vermeulen@UGent.be
BMC Research Notes
|November 26, 2009
Summary
This study demonstrates an RNA pre-amplification method that generates sufficient cDNA for large-scale gene-expression analysis. The technique preserves differential gene expression and is ideal for diagnostic and prognostic studies with limited RNA.
Area of Science:
- Molecular Biology
- Genomics
- Biotechnology
Background:
- Quantitative polymerase chain reaction (qPCR) is crucial for gene-expression analysis.
- Limited sample material often hinders large-scale gene-expression studies.
- RNA pre-amplification can overcome input material limitations.
Purpose of the Study:
- To evaluate an RNA pre-amplification method for generating microgram quantities of cDNA.
- To assess the suitability of pre-amplified cDNA for quantitative polymerase chain reaction (qPCR).
- To determine if pre-amplification is effective for large-scale gene-expression studies.
Main Methods:
- The linear isothermal Ribo-SPIA pre-amplification method (WT-Ovation; NuGEN) was employed.
- Gene expression was measured for 20 genes in six neuroblastoma cell lines and 194 genes in reference RNA samples.
- The method was applied to 738 RNA samples from neuroblastoma tumors, starting with 5-50 nanograms of total RNA.
Main Results:
- Pre-amplification consistently yielded approximately 5 micrograms of cDNA from limited RNA input.
- Differential gene expression was preserved post-amplification without significant bias.
- No co-amplification of genomic DNA was observed, and purification of pre-amplified material was unnecessary.
- High RNA quality is essential for successful pre-amplification.
Conclusions:
- The Ribo-SPIA pre-amplification technology is unbiased and user-friendly.
- It effectively generates sufficient cDNA for large-scale quantitative polymerase chain reaction (qPCR) gene-expression studies.
- This method facilitates diagnostic and prognostic work-up using limited sample material.
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