Keywords
biosensor, glutamine, cell-free protein synthesis (CFPS), cancer
Abstract
Specialized cancer treatments have the potential to exploit glutamine dependence to increase patient survival rates. Glutamine diagnostics capable of tracking a patient’s response to treatment would enable a personalized treatment dosage to optimize the tradeoff between treatment success and dangerous side effects. Current clinical glutamine testing requires sophisticated and expensive lab-based tests, which are not broadly available on a frequent, individualized basis. To address the need for a low-cost, portable glutamine diagnostic, this work engineers a cell-free glutamine biosensor to overcome assay background and signal-to-noise limitations evident in previously reported studies. The findings from this work culminate in the development of a shelf-stable, paper-based, colorimetric glutamine test with a high signal strength and a high signal-to-background ratio for dramatically improved signal resolution. While the engineered glutamine test is important progress towards improving the management of cancer and other health conditions, this work also expands the assay development field of the promising cell-free biosensing platform, which can facilitate the low-cost detection of a broad variety of target molecules with high clinical value.
Original Publication Citation
Free, T. J., Talley, J. P., Hyer, C. D., Miller, C. J., Griffitts, J. S., & Bundy, B. C. (2024). Engineering the Signal Resolution of a Paper-Based Cell-Free Glutamine Biosensor with Genetic Engineering, Metabolic Engineering, and Process Optimization. Sensors, 24(10), 3073. https://doi.org/10.3390/s24103073
BYU ScholarsArchive Citation
Free, Tyler J.; Talley, Joseph P.; Hyer, Chad D.; Millar, Catherine J.; Griffitts, Joel S.; and Bundy, Bradley Charles, "Engineering the Signal Resolution of a Paper-Based Cell-Free Glutamine Biosensor with Genetic Engineering, Metabolic Engineering, and Process Optimization" (2024). Faculty Publications. 7847.
https://scholarsarchive.byu.edu/facpub/7847
Document Type
Peer-Reviewed Article
Publication Date
2024-05-12
Publisher
Sensors
Language
English
College
Ira A. Fulton College of Engineering
Department
Chemical Engineering
Copyright Status
© 2024 by the authors
Copyright Use Information
https://lib.byu.edu/about/copyright/