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PMID: 11846609 Published · ppublish English Journal Article

Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) Method.

Methods (San Diego, Calif.) ·Vol. 25 ·No. 4 ·2001-12-00 ·Pages 402-8

Livak KJ, Schmittgen TD

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.

MeSH Terms
Algorithms Brain/metabolism Cell Line DNA, Complementary/metabolism Humans Polymerase Chain Reaction/methods Reverse Transcriptase Polymerase Chain Reaction Time Factors
Chemicals
DNA, Complementary
Authors & Affiliations
2 authors, click to expand affiliations / ORCID
Livak K J
Applied Biosystems, Foster City, California 94404, USA.
Schmittgen T D
Article Info
Journal
Methods (San Diego, Calif.)
Abbr.
Methods
ISSN
1046-2023
Published
2001-12-00
Pages
402-8
Language
English
Region
United States
NLM ID
9426302
Subset
IM
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