Literature DB >> 11846375

A new quantitative method of real time reverse transcription polymerase chain reaction assay based on simulation of polymerase chain reaction kinetics.

Weihong Liu1, David A Saint.   

Abstract

Real-time reverse transcription (RT) PCR is currently the most sensitive method for the detection of low-abundance mRNAs. Two relative quantitative methods have been adopted: the standard curve method and the comparative C(T) method. The latter is used when the amplification efficiency of a reference gene is equal to that of the target gene; otherwise the standard curve method is applied. Based on the simulation of kinetic process of real-time PCR, we have developed a new method for quantitation and normalization of gene transcripts. In our method, the amplification efficiency for each individual reaction is calculated from the kinetic curve, and the initial amount of gene transcript is derived and normalized. Simulation demonstrated that our method is more accurate than the comparative C(T) method and would save more time than the relative standard curve method. We have used the new method to quantify gene expression levels of nine two-pore potassium channels. The relative levels of gene expression revealed by our quantitative method were broadly consistent with those estimated by routine RT-PCR, but the results also showed that amplification efficiencies varied from gene to gene and from sample to sample. Our method provides a simple and accurate approach to quantifying gene expression level with the advantages that neither construction of standard curve nor validation experiments are needed.

Mesh:

Year:  2002        PMID: 11846375     DOI: 10.1006/abio.2001.5530

Source DB:  PubMed          Journal:  Anal Biochem        ISSN: 0003-2697            Impact factor:   3.365


  152 in total

1.  Experimental validation of novel and conventional approaches to quantitative real-time PCR data analysis.

Authors:  Stuart N Peirson; Jason N Butler; Russell G Foster
Journal:  Nucleic Acids Res       Date:  2003-07-15       Impact factor: 16.971

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Journal:  Nucleic Acids Res       Date:  2003-09-01       Impact factor: 16.971

3.  Standardized determination of real-time PCR efficiency from a single reaction set-up.

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Journal:  Nucleic Acids Res       Date:  2003-10-15       Impact factor: 16.971

4.  Locked nucleic acid (LNA) single nucleotide polymorphism (SNP) genotype analysis and validation using real-time PCR.

Authors:  Matthew P Johnson; Larisa M Haupt; Lyn R Griffiths
Journal:  Nucleic Acids Res       Date:  2004-03-26       Impact factor: 16.971

5.  Comprehensive algorithm for quantitative real-time polymerase chain reaction.

Authors:  Sheng Zhao; Russell D Fernald
Journal:  J Comput Biol       Date:  2005-10       Impact factor: 1.479

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Authors:  Joanna S Ellis; Joanne W Smith; Sharleen Braham; Matthew Lock; Katrina Barlow; Maria C Zambon
Journal:  J Clin Microbiol       Date:  2007-03-14       Impact factor: 5.948

9.  Degradable poly(ethylene glycol) (PEG)-based hydrogels for spatiotemporal control of siRNA/nanoparticle delivery.

Authors:  Yuchen Wang; Sue Zhang; Danielle S W Benoit
Journal:  J Control Release       Date:  2018-08-03       Impact factor: 9.776

10.  Acute and chronic wound fluids inversely influence adipose-derived stem cell function: molecular insights into impaired wound healing.

Authors:  Paola Koenen; Timo A Spanholtz; Marc Maegele; Ewa Stürmer; Thomas Brockamp; Edmund Neugebauer; Oliver C Thamm
Journal:  Int Wound J       Date:  2013-03-13       Impact factor: 3.315

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