There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.
Abstract
The two most commonly used methods to analyze data from real-time, quantitative PCR
experiments are absolute quantification and relative quantification. Absolute quantification
determines the input copy number, usually by relating the PCR signal to a standard
curve. Relative quantification relates the PCR signal of the target transcript in
a treatment group to that of another sample such as an untreated control. The 2(-Delta
Delta C(T)) method is a convenient way to analyze the relative changes in gene expression
from real-time quantitative PCR experiments. The purpose of this report is to present
the derivation, assumptions, and applications of the 2(-Delta Delta C(T)) method.
In addition, we present the derivation and applications of two variations of the 2(-Delta
Delta C(T)) method that may be useful in the analysis of real-time, quantitative PCR
data.
Copyright 2001 Elsevier Science (USA).