The Growth Dependent Design Constraints of Transcription-Factor-Based Metabolite Biosensors-Reference-Cited by-同舟云学术

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The Growth Dependent Design Constraints of Transcription-Factor-Based Metabolite Biosensors

Published:2022-06-14 Issue:7 Volume:11 Page:2247-2258
ISSN:2161-5063
Container-title:ACS Synthetic Biology
language:en
Short-container-title:ACS Synth. Biol.

Author:

Hartline Christopher J.¹^ORCID,Zhang Fuzhong¹²³^ORCID

Affiliation:

1. Department of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, Saint Louis, Missouri 63130, United States

2. Division of Biology & Biomedical Sciences, Washington University in St. Louis, Saint Louis, Missouri 63130, United States

3. Institute of Materials Science & Engineering, Washington University in St. Louis, Saint Louis, Missouri 63130, United States

Funder

National Institute of General Medical Sciences

Publisher

American Chemical Society (ACS)

Subject

Biochemistry, Genetics and Molecular Biology (miscellaneous),Biomedical Engineering,General Medicine

Link

https://pubs.acs.org/doi/pdf/10.1021/acssynbio.2c00143

Reference68 articles.

1. Genetically modified whole-cell bioreporters for environmental assessment

2. Construction of a Bioluminescent Reporter Strain To Detect Polychlorinated Biphenyls

3. Genetically encoded sensors enable real-time observation of metabolite production

4. Developing a Genetically Encoded, Cross-Species Biosensor for Detecting Ammonium and Regulating Biosynthesis of Cyanophycin

5. Evolution-guided optimization of biosynthetic pathways

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1. AI-Assisted Rational Design and Activity Prediction of Biological Elements for Optimizing Transcription-Factor-Based Biosensors;Molecules;2024-07-26

2. Fine Tuning Genetic Circuits via Host Context and RBS Modulation;2024-07-21

3. Transcription factor-based biosensor: A molecular-guided approach for advanced biofuel synthesis;Biotechnology Advances;2024-05

4. Design of synthetic bacterial biosensors;Current Opinion in Microbiology;2023-12

5. Growth-coupled high throughput selection for directed enzyme evolution;Biotechnology Advances;2023-11

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