Literature DB >> 1550563

Counting target molecules by exponential polymerase chain reaction: copy number of mitochondrial DNA in rat tissues.

R J Wiesner1, J C Rüegg, I Morano.   

Abstract

In this report, we show that the actual number of target molecules of the polymerase chain reaction can be determined by measuring the concentration of product accumulating in consecutive cycles. The equation describing product accumulation, log Nn = log eff x n + log N0, can be analyzed by linear regression and the molar concentration of target at cycle zero, N0, is obtained. Using this new approach, the actual content of mitochondrial DNA was determined in rat tissues and ranged from 116 x 10(9) molecules/g in fast-twitch skeletal muscle to 743 x 10(9) molecules/g in liver. Using morphometric data from the literature, mitochondria were found to contain 1 to 3 DNA molecules. There was no relation between the oxidative capacity of a tissue and its content of mitochondrial DNA, indicating that transcriptional and posttranscriptional mechanisms rather than gene dosage, as postulated by others, determine to what extent the mitochondrial genome is expressed.

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Year:  1992        PMID: 1550563     DOI: 10.1016/0006-291x(92)90517-o

Source DB:  PubMed          Journal:  Biochem Biophys Res Commun        ISSN: 0006-291X            Impact factor:   3.575


  44 in total

1.  Direct quantification of picomolar concentrations of mRNAs by mathematical analysis of a reverse transcription/exponential polymerase chain reaction assay.

Authors:  R J Wiesner
Journal:  Nucleic Acids Res       Date:  1992-11-11       Impact factor: 16.971

2.  Kinetic Outlier Detection (KOD) in real-time PCR.

Authors:  Tzachi Bar; Anders Ståhlberg; Anders Muszta; Mikael Kubista
Journal:  Nucleic Acids Res       Date:  2003-09-01       Impact factor: 16.971

3.  Proliferation of mitochondria in chronically stimulated rabbit skeletal muscle--transcription of mitochondrial genes and copy number of mitochondrial DNA.

Authors:  J Schultz; R J Wiesner
Journal:  J Bioenerg Biomembr       Date:  2000-12       Impact factor: 2.945

4.  Ensemble learning algorithms for classification of mtDNA into haplogroups.

Authors:  Carol Wong; Yuran Li; Chih Lee; Chun-Hsi Huang
Journal:  Brief Bioinform       Date:  2010-03-04       Impact factor: 11.622

5.  Theoretical uncertainty of measurements using quantitative polymerase chain reaction.

Authors:  J Peccoud; C Jacob
Journal:  Biophys J       Date:  1996-07       Impact factor: 4.033

Review 6.  Mitochondrial DNA heteroplasmy in disease and targeted nuclease-based therapeutic approaches.

Authors:  Nadee Nissanka; Carlos T Moraes
Journal:  EMBO Rep       Date:  2020-02-19       Impact factor: 8.807

7.  Stimulation of mitochondrial gene expression and proliferation of mitochondria following impairment of cellular energy transfer by inhibition of the phosphocreatine circuit in rat hearts.

Authors:  R J Wiesner; T V Hornung; J D Garman; D A Clayton; E O'Gorman; T Wallimann
Journal:  J Bioenerg Biomembr       Date:  1999-12       Impact factor: 2.945

Review 8.  Mitochondrial toxicity of tobacco smoke and air pollution.

Authors:  Jessica L Fetterman; Melissa J Sammy; Scott W Ballinger
Journal:  Toxicology       Date:  2017-08-22       Impact factor: 4.221

9.  Assessing the performance capabilities of LRE-based assays for absolute quantitative real-time PCR.

Authors:  Robert G Rutledge; Don Stewart
Journal:  PLoS One       Date:  2010-03-17       Impact factor: 3.240

10.  Stochastic drift in mitochondrial DNA point mutations: a novel perspective ex silico.

Authors:  Suresh Kumar Poovathingal; Jan Gruber; Barry Halliwell; Rudiyanto Gunawan
Journal:  PLoS Comput Biol       Date:  2009-11-20       Impact factor: 4.475

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