Literature DB >> 29168381

Cellular Biosensors with Engineered Genetic Circuits.

Behide Saltepe1, Ebru Şahin Kehribar1, Side Selin Su Yirmibeşoğlu1, Urartu Özgür Şafak Şeker1.   

Abstract

An increasing interest in building novel biological devices with designed cellular functionalities has triggered the search of innovative tools for biocomputation. Utilizing the tools of synthetic biology, numerous genetic circuits have been implemented such as engineered logic operation in analog and digital circuits. Whole cell biosensors are widely used biological devices that employ several biocomputation tools to program cells for desired functions. Up to the present date, a wide range of whole-cell biosensors have been designed and implemented for disease theranostics, biomedical applications, and environmental monitoring. In this review, we investigated the recent developments in biocomputation tools such as analog, digital, and mix circuits, logic gates, switches, and state machines. Additionally, we stated the novel applications of biological devices with computing functionalities for diagnosis and therapy of various diseases such as infections, cancer, or metabolic diseases, as well as the detection of environmental pollutants such as heavy metals or organic toxic compounds. Current whole-cell biosensors are innovative alternatives to classical biosensors; however, there is still a need to advance decision making capabilities by developing novel biocomputing devices.

Entities:  

Keywords:  analog circuits; biocomputation; biomedical sensors; digital circuits; environmental sensors; logic gates; synthetic biology; whole cell biosensors

Mesh:

Year:  2017        PMID: 29168381     DOI: 10.1021/acssensors.7b00728

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


  7 in total

1.  Machine learning-aided quantification of antibody-based cancer immunotherapy by natural killer cells in microfluidic droplets.

Authors:  Saheli Sarkar; Wenjing Kang; Songyao Jiang; Kunpeng Li; Somak Ray; Ed Luther; Alexander R Ivanov; Yun Fu; Tania Konry
Journal:  Lab Chip       Date:  2020-06-30       Impact factor: 6.799

2.  A Recombinase-Based Genetic Circuit for Heavy Metal Monitoring.

Authors:  Doğuş Akboğa; Behide Saltepe; Eray Ulaş Bozkurt; Urartu Özgür Şafak Şeker
Journal:  Biosensors (Basel)       Date:  2022-02-16

3.  Active Analyte Import Improves the Dynamic Range and Sensitivity of a Vitamin B12 Biosensor.

Authors:  Monica P McNerney; Fernanda Piorino; Cirstyn L Michel; Mark P Styczynski
Journal:  ACS Synth Biol       Date:  2020-02-13       Impact factor: 5.110

4.  Improving the Robustness of Engineered Bacteria to Nutrient Stress Using Programmed Proteolysis.

Authors:  Klara Szydlo; Zoya Ignatova; Thomas E Gorochowski
Journal:  ACS Synth Biol       Date:  2022-02-17       Impact factor: 5.249

Review 5.  Regulating, Measuring, and Modeling the Viscoelasticity of Bacterial Biofilms

Authors:  Samuel G V Charlton; Michael A White; Saikat Jana; Lucy E Eland; Pahala Gedara Jayathilake; J Grant Burgess; Jinju Chen; Anil Wipat; Thomas P Curtis
Journal:  J Bacteriol       Date:  2019-08-22       Impact factor: 3.490

6.  Development of High-Performance Whole Cell Biosensors Aided by Statistical Modeling.

Authors:  Adokiye Berepiki; Ross Kent; Leopoldo F M Machado; Neil Dixon
Journal:  ACS Synth Biol       Date:  2020-02-17       Impact factor: 5.110

7.  Programming living sensors for environment, health and biomanufacturing.

Authors:  Xinyi Wan; Behide Saltepe; Luyang Yu; Baojun Wang
Journal:  Microb Biotechnol       Date:  2021-05-07       Impact factor: 6.575

  7 in total

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