Browsing by Author "Tao, Ye"

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Artifact-free quantification and sequencing of rare recombinant viruses by using drop-based microfluidics
(2015-10) Tao, Ye; Rotem, Assaf; Zhang, Huidan; Cockrell, Shelley K.; Koehler, Stephan A.; Chang, Connie B.; Ung, Lloyd W.; Cantalupo, Paul G.; Ren, Yukun; Lin, Jeffrey S.; Feldman, Andrew B.; Wobus, Christiane E.; Pipas, James M.; Weitz, David A.
Recombination is an important driver in the evolution of viruses and thus is key to understanding viral epidemics and improving strategies to prevent future outbreaks. Characterization of rare recombinant subpopulations remains technically challenging because of artifacts such as artificial recombinants, known as chimeras, and amplification bias. To overcome this, we have developed a high-throughput microfluidic technique with a second verification step in order to amplify and sequence single recombinant viruses with high fidelity in picoliter drops. We obtained the first artifact-free estimate of in vitro recombination rate between murine norovirus strains MNV-1 and WU20 co-infecting a cell (P(rec) = 3.3 x 10(-4) ± 2 x 10(-5) ) for a 1205 nt region. Our approach represents a time- and cost-effective improvement over current methods, and can be adapted for genomic studies requiring artifact- and bias-free selective amplification, such as microbial pathogens, or rare cancer cells.
Digital droplet RT-LAMP increases speed of SARS-CoV-2 viral RNA detection
(Wiley, 2024-06) Yuan, Yuan; Ellis, Perry; Tao, Ye; Bikos, Dimitri A.; Loveday, Emma K.; Thomas, Mallory M.; Wilking, James N.; Chang, Connie B.; Ye, Fangfu; Weitz, David A.
Nucleic acid amplification testing (NAAT) remains one of the most reliable methods for pathogen identification. However, conventional bulk NAATs may not be sufficiently fast or sensitive enough for the detection of clinically-relevant pathogens in point-of-care testing. Here, we have developed a digital droplet RT-LAMP (ddRT-LAMP) assay that rapidly and quantitatively detects the SARS-CoV-2 viral E gene in microfluidic drops. Droplet partitioning using ddRT-LAMP significantly accelerates detection times across a wide range of template concentrations compared to bulk RT-LAMP assays. We discover that a reduction in droplet diameter decreases assay times up to a certain size, upon which surface adsorption of the RT-LAMP polymerase reduces reaction efficiency. Optimization of drop size and polymerase concentration enables rapid, sensitive, and quantitative detection of the SARS-CoV-2 E gene in only 8 min. These results highlight the potential of ddRT-LAMP assays as an excellent platform for quantitative point-of-care testing.