Comparison of relative mRNA quantification models and the impact of RNA integrity in quantitative real-time RT-PCR

By S. Fleige, Vanessa M Walf, Silvia Huch, C. Prgomet, J. Sehm, M. W. Pfaffl. Biotechnology Letters, 2006

604 citations recorded by the source corpus.

Subfields: Molecular Biology

View Paper: https://www.semanticscholar.org/paper/8b629642b152db31232e5cfcfc0058327458c37e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Molecular Biology

1. D. Lai
2. A. Moorman
3. Jan Ruijter
4. O. Bakker
5. A. Dodd
6. C. Ramakers
7. Y. Karlen
8. Rongying Tang

Citations in the corpus

• Comprehending crystalline β-carotene accumulation by comparing engineered cell models and the natural carotenoid-rich system of citrus (2011, neutral): “Although normalization may improve mRNA quantification, even a significant difference (up to 4-fold, meaning ~75% mRNA is degraded) in gene expression may be expected in samples differing only in their quality (Fleige et al., 2006); a fact which is especially relevant in accurately quantifying small”
• Amplification efficiency: linking baseline and bias in the analysis of quantitative PCR data (2009, background): “To the best of our knowledge, no sample-dependent PCR efficiency differences have ever been reported (10,31).”
• Validation of Zebrafish (Danio rerio) Reference Genes for Quantitative Real-time RT-PCR Normalization (2007, background): “These values satisfy one of the requirements of a satisfactory qRT-PCR experiment [ 4 ].”