Literature DB >> 30623662

Whole-Cell Biosensor with Tunable Limit of Detection Enables Low-Cost Agglutination Assays for Medical Diagnostic Applications.

Nicolas Kylilis1,2, Pinpunya Riangrungroj1,3, Hung-En Lai1,4, Valencio Salema5, Luis Ángel Fernández5, Guy-Bart V Stan1,2, Paul S Freemont1,4, Karen M Polizzi1,6.   

Abstract

Whole-cell biosensors can form the basis of affordable, easy-to-use diagnostic tests that can be readily deployed for point-of-care (POC) testing, but to date the detection of analytes such as proteins that cannot easily diffuse across the cell membrane has been challenging. Here we developed a novel biosensing platform based on cell agglutination using an E. coli whole-cell biosensor surface-displaying nanobodies which bind selectively to a target protein analyte. As a proof-of-concept, we show the feasibility of this design to detect a model analyte at nanomolar concentrations. Moreover, we show that the design architecture is flexible by building assays optimized to detect a range of model analyte concentrations using straightforward design rules and a mathematical model. Finally, we re-engineer our whole-cell biosensor for the detection of a medically relevant biomarker by the display of two different nanobodies against human fibrinogen and demonstrate a detection limit as low as 10 pM in diluted human plasma. Overall, we demonstrate that our agglutination technology fulfills the requirement of POC testing by combining low-cost nanobody production, customizable detection range and low detection limits. This technology has the potential to produce affordable diagnostics for field-testing in the developing world, emergency or disaster relief sites, as well as routine medical testing and personalized medicine.

Entities:  

Keywords:  immunoassay; latex agglutination test; medical diagnostics; point-of-care testing; synthetic biology; whole-cell biosensor

Mesh:

Year:  2019        PMID: 30623662     DOI: 10.1021/acssensors.8b01163

Source DB:  PubMed          Journal:  ACS Sens        ISSN: 2379-3694            Impact factor:   7.711


  9 in total

Review 1.  Biosensors for the detection of respiratory viruses: A review.

Authors:  Brayan Viana Ribeiro; Taís Aparecida Reis Cordeiro; Guilherme Ramos Oliveira E Freitas; Lucas Franco Ferreira; Diego Leoni Franco
Journal:  Talanta Open       Date:  2020-08-16

2.  A label-free optical whole-cell Escherichia coli biosensor for the detection of pyrethroid insecticide exposure.

Authors:  Pinpunya Riangrungroj; Candace Spier Bever; Bruce D Hammock; Karen M Polizzi
Journal:  Sci Rep       Date:  2019-08-28       Impact factor: 4.379

3.  BeQuIK (Biosensor Engineered Quorum Induced Killing): designer bacteria for destroying recalcitrant biofilms.

Authors:  Pinpunya Riangrungroj; Karen M Polizzi
Journal:  Microb Biotechnol       Date:  2019-07-21       Impact factor: 5.813

Review 4.  A Review on Biosensors and Recent Development of Nanostructured Materials-Enabled Biosensors.

Authors:  Varnakavi Naresh; Nohyun Lee
Journal:  Sensors (Basel)       Date:  2021-02-05       Impact factor: 3.576

5.  Reprogramming Synthetic Cells for Targeted Cancer Therapy.

Authors:  Boon Lim; Yutong Yin; Hua Ye; Zhanfeng Cui; Antonis Papachristodoulou; Wei E Huang
Journal:  ACS Synth Biol       Date:  2022-03-08       Impact factor: 5.249

6.  Use of Recombinant Escherichia coli Strains in Immunofluorescence Assays for Melioidosis Diagnosis.

Authors:  Kanoknart Lantong; Jirarat Songsri; Sueptrakool Wisessombat; Wanida Mala; Warinda Prommachote; Wilaiwan Senghoi; Manas Kotepui; Jedsada Kaewrakmuk; Treenate Jiranantasak; Apichai Tuanyok; Wiyada Kwanhian Klangbud
Journal:  Pathogens       Date:  2021-05-06

Review 7.  Recombinant expression of nanobodies and nanobody-derived immunoreagents.

Authors:  Ario de Marco
Journal:  Protein Expr Purif       Date:  2020-04-11       Impact factor: 1.650

Review 8.  Synthetic Biology Enables Programmable Cell-Based Biosensors.

Authors:  Maggie Hicks; Till T Bachmann; Baojun Wang
Journal:  Chemphyschem       Date:  2019-10-25       Impact factor: 3.102

9.  Model-based inference of neutralizing antibody avidities against influenza virus.

Authors:  Janina Linnik; Mohammedyaseen Syedbasha; Yvonne Hollenstein; Jörg Halter; Adrian Egli; Jörg Stelling
Journal:  PLoS Pathog       Date:  2022-01-31       Impact factor: 6.823

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.