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Accurate Bulk Quantitation of Droplet Digital Polymerase Chain Reaction.
Sun, Chen; Liu, Leqian; Vasudevan, Harish N; Chang, Kai-Chun; Abate, Adam R.
Afiliação
  • Sun C; Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, California 94158, United States.
  • Liu L; Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, California 94158, United States.
  • Vasudevan HN; Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, California 94158, United States.
  • Chang KC; Department of Radiation Oncology, University of California San Francisco, San Francisco, California 94158, United States.
  • Abate AR; Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, California 94158, United States.
Anal Chem ; 93(29): 9974-9979, 2021 07 27.
Article em En | MEDLINE | ID: mdl-34252272
Droplet digital PCR provides superior accuracy for nucleic acid quantitation. The requirement of microfluidics to generate and analyze the emulsions, however, is a barrier to its adoption, particularly in low resource settings or clinical laboratories. Here, we report a novel method to prepare ddPCR droplets by vortexing and readout of the results by bulk analysis of recovered amplicons. We demonstrate the approach by accurately quantitating SARS-CoV-2 sequences using entirely bulk processing and no microfluidics. Our approach for quantitating reactions should extend to all digital assays that generate amplicons, including digital PCR and LAMP conducted in droplets, microchambers, or nanoliter wells. More broadly, our approach combines important attributes of ddPCR, including enhanced accuracy and robustness to inhibition, with the high-volume sample processing ability of quantitative PCR.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article