EconPapers    
Economics at your fingertips  
 

A progesterone biosensor derived from microbial screening

Chloé Grazon, R C. Baer, Uroš Kuzmanović, Thuy Nguyen, Mingfu Chen, Marjon Zamani, Margaret Chern, Patricia Aquino, Xiaoman Zhang, Sébastien Lecommandoux, Andy Fan, Mario Cabodi, Catherine Klapperich, Mark W. Grinstaff, Allison M. Dennis and James E. Galagan ()
Additional contact information
Chloé Grazon: Boston University
R C. Baer: Boston University
Uroš Kuzmanović: Boston University
Thuy Nguyen: Boston University
Mingfu Chen: Boston University
Marjon Zamani: Boston University
Margaret Chern: Boston University
Patricia Aquino: Boston University
Xiaoman Zhang: Boston University
Sébastien Lecommandoux: University Bordeaux, CNRS, Bordeaux INP, LCPO, UMR 5629
Andy Fan: Boston University
Mario Cabodi: Boston University
Catherine Klapperich: Boston University
Mark W. Grinstaff: Boston University
Allison M. Dennis: Boston University
James E. Galagan: Boston University

Nature Communications, 2020, vol. 11, issue 1, 1-10

Abstract: Abstract Bacteria are an enormous and largely untapped reservoir of biosensing proteins. We describe an approach to identify and isolate bacterial allosteric transcription factors (aTFs) that recognize a target analyte and to develop these TFs into biosensor devices. Our approach utilizes a combination of genomic screens and functional assays to identify and isolate biosensing TFs, and a quantum-dot Förster Resonance Energy Transfer (FRET) strategy for transducing analyte recognition into real-time quantitative measurements. We use this approach to identify a progesterone-sensing bacterial aTF and to develop this TF into an optical sensor for progesterone. The sensor detects progesterone in artificial urine with sufficient sensitivity and specificity for clinical use, while being compatible with an inexpensive and portable electronic reader for point-of-care applications. Our results provide proof-of-concept for a paradigm of microbially-derived biosensors adaptable to inexpensive, real-time sensor devices.

Date: 2020
References: Add references at CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://www.nature.com/articles/s41467-020-14942-5 Abstract (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-14942-5

Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/

DOI: 10.1038/s41467-020-14942-5

Access Statistics for this article

Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie

More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-19
Handle: RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-14942-5