4.5 Article

Application of a master equation for quantitative mRNA analysis using qRT-PCR

Journal

JOURNAL OF BIOTECHNOLOGY
Volume 143, Issue 1, Pages 10-16

Publisher

ELSEVIER
DOI: 10.1016/j.jbiotec.2009.06.006

Keywords

Data acquisition; Normalization; PCR amplification efficiency; Quality control

Funding

  1. National Research Initiative of the USDA Cooperative State Research, Education and Extension Service [2006-35504-17359]

Ask authors/readers for more resources

The qRT-PCR has been widely accepted as the assay of choice for mRNA quantification. For conventional practice, housekeeping genes have been applied as internal reference for data normalization and analysis since the technology appeared. However, housekeeping genes vary under different conditions and environmental stimuli and no commonly accepted housekeeping gene references are available. Accurate data acquisition and data reproducibility remain challenging and it is difficult to compare results from different experimental sources. Using yeast and a Fusarium fungus as examples,we demonstrate the independent performance of a sole reference gene, CAB, designated as a constant manual threshold for data acquisition, normalization, and analysis for multiple plate reactions. A robust master equation based on the CAB reference and the set of calibration control genes thereafter was established to estimate mRNA abundance for the same RNA background reactions. A valid range of amplification efficiency between 95% and 100% was observed for the control genes in different RNA background applied on an ABI real time PCR 7500 system. This newly developed robust quality control system provides a reliable means for absolute quantification of mRNA using the qRT-PCR, simplifies the conventional qRT-PCR procedures, and increases data reliability, reproducibility, and throughput of the assay. Published by Elsevier B.V.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available