Literature DB >> 30091389

Mitigation of the effect of variability in digital PCR assays through use of duplexed reference assays for normalization.

Sherry J Coulter1.   

Abstract

Digital PCR has been promoted as a technique for obtaining absolute measures of the amount of nucleic acid target sequence in a sample, but still lacks standardization in data reporting. The initial method of representing data as copies per microliter produced inconsistent results and made inter-assay comparisons difficult. Normalizing copies to amount of nucleic acid gives more uniform results, but factors influencing the effective concentration of nucleic acid in the final digital PCR assay must be considered. Using droplet digital PCR and previously validated reference genes duplexed with target genes, a method of normalization was developed to estimate the amount of input nucleic acid in individual assays, subsequently reporting the number of copies of target gene relative to this amount. Correcting for the actual amount of amplifiable nucleic acid present demonstrated a higher correlation between various dilutions of sample mRNA and allowed more accurate comparisons of digital PCR results.

Entities:  

Keywords:  digital PCR; droplet digital PCR; gene expression; normalization; reference genes

Mesh:

Substances:

Year:  2018        PMID: 30091389      PMCID: PMC6424105          DOI: 10.2144/btn-2018-0058

Source DB:  PubMed          Journal:  Biotechniques        ISSN: 0736-6205            Impact factor:   1.993


  33 in total

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4.  Comparison of microfluidic digital PCR and conventional quantitative PCR for measuring copy number variation.

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5.  PCR inhibition by reverse transcriptase leads to an overestimation of amplification efficiency.

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Journal:  Nucleic Acids Res       Date:  2005-11-27       Impact factor: 16.971

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8.  Droplet Digital PCR versus qPCR for gene expression analysis with low abundant targets: from variable nonsense to publication quality data.

Authors:  Sean C Taylor; Genevieve Laperriere; Hugo Germain
Journal:  Sci Rep       Date:  2017-05-25       Impact factor: 4.379

9.  ddPCRclust: an R package and Shiny app for automated analysis of multiplexed ddPCR data.

Authors:  Benedikt G Brink; Justin Meskas; Ryan R Brinkman
Journal:  Bioinformatics       Date:  2018-08-01       Impact factor: 6.937

10.  Measuring Digital PCR Quality: Performance Parameters and Their Optimization.

Authors:  A Lievens; S Jacchia; D Kagkli; C Savini; M Querci
Journal:  PLoS One       Date:  2016-05-05       Impact factor: 3.240

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