Literature DB >> 17955361

Encoding PCR products with batch-stamps and barcodes.

Megan L McCloskey1, Reinhard Stöger, R Scott Hansen, Charles D Laird.   

Abstract

Polymerase chain reaction (PCR) has become the mainstay of DNA sequence analysis. Yet there is always uncertainty concerning the source of the template DNA that gave rise to a particular PCR product. The risks of contamination, biased amplification, and product redundancy are especially high when limited amounts of template DNA are used. We have developed and applied molecular encoding principles to solve this source-uncertainty problem for DNA sequences generated by standard PCR. Batch-stamps specify the date and sample identity, and barcodes detect template redundancy. Our approach thus enables classification of each PCR-derived sequence as valid, contaminant, or redundant, and provides a measure of sequence diversity. We recommend that batch-stamps and barcodes be used when amplifying irreplaceable DNAs and cDNAs available for forensic, clinical, single cell, and ancient DNA analyses.

Mesh:

Substances:

Year:  2007        PMID: 17955361     DOI: 10.1007/s10528-007-9114-x

Source DB:  PubMed          Journal:  Biochem Genet        ISSN: 0006-2928            Impact factor:   1.890


  19 in total

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2.  Detection and quantification of rare mutations with massively parallel sequencing.

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4.  A non-radioactive, improved PAR-CLIP and small RNA cDNA library preparation protocol.

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5.  Detection of ultra-rare mutations by next-generation sequencing.

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6.  Detecting ultralow-frequency mutations by Duplex Sequencing.

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7.  Accuracy of Next Generation Sequencing Platforms.

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Review 8.  Epigenetics and obesity.

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9.  META RNA profiling: Multiplexed quantitation of targeted RNAs across large numbers of samples.

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10.  Computational analysis of stochastic heterogeneity in PCR amplification efficiency revealed by single molecule barcoding.

Authors:  Katharine Best; Theres Oakes; James M Heather; John Shawe-Taylor; Benny Chain
Journal:  Sci Rep       Date:  2015-10-13       Impact factor: 4.379

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