Integration of Fluorescence Detection and Image-Based Automated Counting Increases Speed, Sensitivity, and Robustness of Plaque Assays.

Autor: Masci AL; Bioassay and Gene Therapy, Analytical Development, Biogen, Cambridge, MA, USA., Menesale EB; Bioassay and Gene Therapy, Analytical Development, Biogen, Cambridge, MA, USA., Chen WC; Bioassay and Gene Therapy, Analytical Development, Biogen, Cambridge, MA, USA., Co C; Bioassay and Gene Therapy, Analytical Development, Biogen, Cambridge, MA, USA., Lu X; Bioassay and Gene Therapy, Analytical Development, Biogen, Cambridge, MA, USA., Bergelson S; Bioassay and Gene Therapy, Analytical Development, Biogen, Cambridge, MA, USA.
Jazyk: angličtina
Zdroj: Molecular therapy. Methods & clinical development [Mol Ther Methods Clin Dev] 2019 Jul 31; Vol. 14, pp. 270-274. Date of Electronic Publication: 2019 Jul 31 (Print Publication: 2019).
DOI: 10.1016/j.omtm.2019.07.007
Abstrakt: Plaque assays are used to measure the infectious titer of viral samples. These assays are multi-day and low-throughput and may be subject to analyst variability from biased or subjective manual plaque counting. Typically, on day 1, cells are adhered to plates overnight. On day 2, cells are infected with virus. After 3 additional days, plaques are fixed, stained with a horseradish peroxidase (HRP)-conjugated antibody and a HRP substrate, and counted by eye. Manual-based visual counting of plaques is time-consuming and laborious and may be subject to variability between analysts. Also, the assay must proceed for several days to allow the plaques to increase to sufficiently large sizes for manual identification. Here, we integrate fluorescent detection and automated plaque counting to increase the sensitivity and speed of the assay. First, we stain plaques with a fluorescent-labeled antibody. Second, we implement a plate-based cell imager to perform non-biased, non-subjective plaque counting. The integration of these two technologies decreases the assay length by 40%, from 5 days to 3 days, because plaque size, plaque signal to noise, and manual visualization are no longer limiting. This optimized plaque assay is sensitive, fast, and robust and expands the throughput and usage of this method for measuring plaque formation.
Databáze: MEDLINE