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Analysis of relative gene expression data using real-time quantitative PCR and the 2(T)(-Delta Delta C) method
Author(s): Livak KJ, Schmittgen TD
Source: METHODS    Volume: 25    Issue: 4    Pages: 402-408    Published: DEC 2001  
Times Cited: 8,053     References: 11     
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(-DeltaDeltaCr) 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(-DeltaDeltaCr) method. In addition, we present the derivation and applications of two variations of the 2(-DeltaDeltaCr) method that may be useful in the analysis of real-time, quantitative PCR data. (C) 2001 Elsevier science.
Document Type: Article
Language: English
Reprint Address: Livak, KJ (reprint author), Washington State Univ, Dept Pharmaceut Sci, Pullman, WA 99164 USA
Addresses:
1. Washington State Univ, Dept Pharmaceut Sci, Pullman, WA 99164 USA
2. Appl Biosyst Inc, Foster City, CA 94404 USA
Publisher: ACADEMIC PRESS INC ELSEVIER SCIENCE, 525 B ST, STE 1900, SAN DIEGO, CA 92101-4495 USA
Subject Category: Biochemical Research Methods; Biochemistry & Molecular Biology
IDS Number: 523JD
ISSN: 1046-2023
DOI: 10.1006/meth.2001.1262
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