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Development and Application of Automated Sandwich ELISA for Quantitating Residual dsRNA in mRNA Vaccines

Authors :
David A. Holland
Jillian Acevedo-Skrip
Joshua Barton
Rachel Thompson
Amy Bowman
Emily A. Dewar
Danielle V. Miller
Kaixi Zhao
Andrew R. Swartz
John W. Loughney
Source :
Vaccines, Vol 12, Iss 8, p 899 (2024)
Publication Year :
2024
Publisher :
MDPI AG, 2024.

Abstract

The rise of mRNA as a novel vaccination strategy presents new opportunities to confront global disease. Double-stranded RNA (dsRNA) is an impurity byproduct of the in vitro transcription reaction used to manufacture mRNA that may affect the potency and safety of the mRNA vaccine in patients. Careful quantitation of dsRNA during manufacturing is critical to ensure that residual dsRNA is minimized in purified mRNA drug substances. In this work, we describe the development and implementation of a sandwich Enzyme-Linked Immunosorbent Assay (ELISA) to quantitate nanogram quantities of residual dsRNA contaminants in mRNA process intermediates using readily available commercial reagents. This sandwich ELISA developed in this study follows a standard protocol and can be easily adapted to most research laboratory environments. Additionally, a liquid handler coupled with an automated robotics system was utilized to increase assay throughput, improve precision, and reduce the analyst time requirement. The final automated sandwich ELISA was able to measure

Details

Language :
English
ISSN :
2076393X
Volume :
12
Issue :
8
Database :
Directory of Open Access Journals
Journal :
Vaccines
Publication Type :
Academic Journal
Accession number :
edsdoj.b486c55e41b4475cb7eada0125e613cd
Document Type :
article
Full Text :
https://doi.org/10.3390/vaccines12080899