Literature DB >> 23403697

Multiplex picoliter-droplet digital PCR for quantitative assessment of DNA integrity in clinical samples.

Audrey Didelot1, Steve K Kotsopoulos, Audrey Lupo, Deniz Pekin, Xinyu Li, Ivan Atochin, Preethi Srinivasan, Qun Zhong, Jeff Olson, Darren R Link, Pierre Laurent-Puig, Hélène Blons, J Brian Hutchison, Valerie Taly.   

Abstract

BACKGROUND: Assessment of DNA integrity and quantity remains a bottleneck for high-throughput molecular genotyping technologies, including next-generation sequencing. In particular, DNA extracted from paraffin-embedded tissues, a major potential source of tumor DNA, varies widely in quality, leading to unpredictable sequencing data. We describe a picoliter droplet-based digital PCR method that enables simultaneous detection of DNA integrity and the quantity of amplifiable DNA.
METHODS: Using a multiplex assay, we detected 4 different target lengths (78, 159, 197, and 550 bp). Assays were validated with human genomic DNA fragmented to sizes of 170 bp to 3000 bp. The technique was validated with DNA quantities as low as 1 ng. We evaluated 12 DNA samples extracted from paraffin-embedded lung adenocarcinoma tissues.
RESULTS: One sample contained no amplifiable DNA. The fractions of amplifiable DNA for the 11 other samples were between 0.05% and 10.1% for 78-bp fragments and ≤1% for longer fragments. Four samples were chosen for enrichment and next-generation sequencing. The quality of the sequencing data was in agreement with the results of the DNA-integrity test. Specifically, DNA with low integrity yielded sequencing results with lower levels of coverage and uniformity and had higher levels of false-positive variants.
CONCLUSIONS: The development of DNA-quality assays will enable researchers to downselect samples or process more DNA to achieve reliable genome sequencing with the highest possible efficiency of cost and effort, as well as minimize the waste of precious samples.
© 2013 American Association for Clinical Chemistry.

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Year:  2013        PMID: 23403697     DOI: 10.1373/clinchem.2012.193409

Source DB:  PubMed          Journal:  Clin Chem        ISSN: 0009-9147            Impact factor:   8.327


  32 in total

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Authors:  Jiseok Lim; Ouriel Caen; Jérémy Vrignon; Manfred Konrad; Valérie Taly; Jean-Christophe Baret
Journal:  Biomicrofluidics       Date:  2015-05-05       Impact factor: 2.800

2.  Quantification of DNA Extracted from Formalin Fixed Paraffin-Embeded Tissue Comparison of Three Techniques: Effect on PCR Efficiency.

Authors:  Dushyant Kumar; Manoj Kumar Panigrahi; Moushumi Suryavanshi; Anurag Mehta; Kandarpa Kumar Saikia
Journal:  J Clin Diagn Res       Date:  2016-09-01

3.  ddRFC: A scalable multiplexed droplet digital nucleic acid amplification test platform.

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4.  Optimized expression-based microdissection of formalin-fixed lung cancer tissue.

Authors:  Markus Grafen; Thurid R Hofmann; Andreas H Scheel; Julia Beck; Alexander Emmert; Stefan Küffer; Bernhard C Danner; Ekkehard Schütz; Reinhardt Büttner; Andreas Ostendorf; Philipp Ströbel; Hanibal Bohnenberger
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Review 5.  Liquid Biopsy in Tumor Genetic Diagnosis.

Authors:  Andreas Jung; Thomas Kirchner
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Journal:  Oncologist       Date:  2016-01-14

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Journal:  Bioinformatics       Date:  2020-05-01       Impact factor: 6.937

9.  BEAMing and Droplet Digital PCR Analysis of Mutant IDH1 mRNA in Glioma Patient Serum and Cerebrospinal Fluid Extracellular Vesicles.

Authors:  Walter W Chen; Leonora Balaj; Linda M Liau; Michael L Samuels; Steve K Kotsopoulos; Casey A Maguire; Lori Loguidice; Horacio Soto; Matthew Garrett; Lin Dan Zhu; Sarada Sivaraman; Clark Chen; Eric T Wong; Bob S Carter; Fred H Hochberg; Xandra O Breakefield; Johan Skog
Journal:  Mol Ther Nucleic Acids       Date:  2013-07-23       Impact factor: 10.183

10.  Single-Tubed Wild-Type Blocking Quantitative PCR Detection Assay for the Sensitive Detection of Codon 12 and 13 KRAS Mutations.

Authors:  Jun-Fu Huang; Dong-Zhu Zeng; Guang-Jie Duan; Yan Shi; Guo-Hong Deng; Han Xia; Han-Qing Xu; Na Zhao; Wei-Ling Fu; Qing Huang
Journal:  PLoS One       Date:  2015-12-23       Impact factor: 3.240

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