| Literature DB >> 33631072 |
Lucien Jacky1, Dominic Yurk1,2, John Alvarado1, Paul Belitz1, Kristin Fathe1, Chris MacDonald1, Scott Fraser3, Aditya Rajagopal1,2,4.
Abstract
The gold standard of molecular pathogen detection is the quantitative polymerase chain reaction (qPCR). Modern qPCR instruments are capable of detecting 4-6 analytes in a single sample: one per optical detection channel. However, many clinical applications require multiplexing beyond this traditional single-well capacity, including the task of simultaneously testing for SARS-CoV-2 and other respiratory pathogens. This can be addressed by dividing a sample across multiple wells, or using technologies such as genomic sequencing and spatial arrays, but at the expense of significantly higher cost and lower throughput compared with single-well qPCR. These trade-offs represent unacceptable compromises in high-throughput screening scenarios such as SARS-CoV-2 testing. We demonstrate a novel method of detecting up to 20 targets per well with standard qPCR instrumentation: high-definition PCR (HDPCR). HDPCR combines TaqMan chemistry and familiar workflows with robust encoding to enable far higher levels of multiplexing on a traditional qPCR system without an increase in cost or reduction in throughput. We utilize HDPCR with a custom 20-Plex assay, an 8-Plex assay using unmodified predesigned single-plex assays from Integrated DNA Technologies and a 9-Plex pathogen panel inclusive of SARS-CoV-2 and other common respiratory viruses. All three assays were successful when tested on a variety of samples, with overall sample accuracies of 98.8, 98.3, and 100%, respectively. The HDPCR technology enables the large install base of qPCR instrumentation to perform mid-density multiplex diagnostics without modification to instrumentation or workflow, meeting the urgent need for increased diagnostic yield at an affordable price without sacrificing assay performance.Entities:
Year: 2021 PMID: 33631072 DOI: 10.1021/acs.analchem.0c04626
Source DB: PubMed Journal: Anal Chem ISSN: 0003-2700 Impact factor: 6.986