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

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      Methods (San Diego, Calif.)

      Elsevier BV

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          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.

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          Author and article information

          Journal
          Methods
          Methods (San Diego, Calif.)
          Elsevier BV
          1046-2023
          1046-2023
          Dec 2001
          : 25
          : 4
          Affiliations
          [1 ] Applied Biosystems, Foster City, California 94404, USA.
          Article
          S1046-2023(01)91262-9
          10.1006/meth.2001.1262
          11846609
          Copyright 2001 Elsevier Science (USA).

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