Amy Bowman
Amy Bowman has a total of 20 co-authors. Here are the top co-authors by number of shared publications:
- John W. Loughney
Analytical Research & Development, Merck & Co., Inc., Rahway, NJ 07065, USA
3 shared publications Aleksandr Treyer
High-Throughput Analytics, Vaccine Analytical Research & Development, Merck & Co., Inc. 770 Sumneytown Pike, West Point, PA, USA
1 shared publication- Andrew R. Swartz
Process Research and Development, Merck & Co., Inc., Rahway, NJ, United States
1 shared publication Anjali Joshi
High Throughput Analytics, Vaccines AR&D, MRL, Merck & Co., Inc., West Point, PA, USA
1 shared publicationBrittney Pedrazzi
High-Throughput Analytics, Vaccine Analytical Research & Development, Merck & Co., Inc. 770 Sumneytown Pike, West Point, PA, USA
1 shared publicationCarl Hofmann
High Throughput Analytics, Vaccines AR&D, MRL, Merck & Co., Inc., West Point, PA, USA
1 shared publication
Latest Publications
- Open Access
- 11 October 2024
- Published by Elsevier in SLAS Technology
- Vol. 29 (6) , 100205
Automation of biochemical assays using an open-sourced, inexpensive robotic liquid handler
- 11 October 2024
- Published by Elsevier in SLAS Technology
- Vol. 29 (6) , 100205
Open AccessAutomation of biochemical assays using an open-sourced, inexpensive robotic liquid handler
- Open Access
Development and Application of Automated Sandwich ELISA for Quantitating Residual dsRNA in mRNA Vaccines
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 <10 ng/mL of dsRNA with a specificity for dsRNA over 2000-fold higher than mRNA, a variability of <15%, and a throughput of 72 samples per day.
Open AccessDevelopment and Application of Automated Sandwich ELISA for Quantitating Residual dsRNA in mRNA Vaccines
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 <10 ng/mL of dsRNA with a specificity for dsRNA over 2000-fold higher than mRNA, a variability of <15%, and a throughput of 72 samples per day.
- Open Access
- 15 June 2023
- Published by Elsevier in SLAS Technology
- Vol. 28 (5) , 375-379
Greening automation: Wash and Re-use of disposable 384-well liquid handling tips to enable sustainable high-throughput vaccine development
- 15 June 2023
- Published by Elsevier in SLAS Technology
- Vol. 28 (5) , 375-379
Open AccessGreening automation: Wash and Re-use of disposable 384-well liquid handling tips to enable sustainable high-throughput vaccine development