Fully automated high-throughput immuno-µPlaque assay for live-attenuated tetravalent dengue vaccine development.

Autor: Yi Wang, Troutman, Matthew C., Hofmann, Carl, Gonzalez, Ariel, Liping Song, Levin, Robert, Yoder Pixley, Heidi, Kearns, Kristine, DePhillips, Pete, Loughney, John W.
Předmět:
Zdroj: Frontiers in Immunology; 2024, p1-13, 13p
Abstrakt: Dengue fever has remained a continuing global medical threat that impacts half of the world's population. Developing a highly effective dengue vaccine, with live-attenuated tetravalent vaccines as leading candidates, remains essential in preventing this disease. For the development of live virus vaccines (LVVs), potency measurements play a vital role in quantifying the active components of vaccine drug substance as well as drug product during various stages of research, development, and post-licensure evaluations. Traditional plaque-based assays are one of the most common potency test methods, but they generally take up to weeks to complete. Less labor and time-intensive potency assays are thus called for to aid in the acceleration of vaccine development, especially for multivalent LVVs. Here, we introduce a fully automated, 96-well format µPlaque assay that has been optimized as a high-throughput tool to evaluate process and formulation development of a live-attenuated tetravalent dengue vaccine. To the best of our knowledge, this is the first report of a miniaturized viral plaque method for dengue with full automation via an integrated robotic system. Compared to the traditional manual plaque assay, this newly developed method substantially reduces testing time by approximately half and allows for the evaluation of over ten times more samples per run. The fully automated workflow, from cell culture to plaque counting, significantly minimizes analyst hands-on time and improves assay repeatability. The study presents a pioneering solution for the rapid measurement of LVV viral titers, offering promising prospects for advancing vaccine development through high-throughput analytics. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index