Reactor control system in bacterial co‐culture based on fluorescent proteins using an Arduino‐based home‐made device-Reference-Cited by-同舟云学术

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Reactor control system in bacterial co‐culture based on fluorescent proteins using an Arduino‐based home‐made device

Published:2021-10-07 Issue:12 Volume:16 Page:2100169
ISSN:1860-6768
Container-title:Biotechnology Journal
language:en
Short-container-title:Biotechnol. J.

Author:

Kusuda Minori¹,Shimizu Hiroshi¹^ORCID,Toya Yoshihiro¹^ORCID

Affiliation:

1. Department of Bioinformatic Engineering Graduate School of Information Science and Technology Osaka University Suita Osaka Japan

Funder

Japan Science and Technology Agency

Japan Society for the Promotion of Science

Publisher

Wiley

Subject

Molecular Medicine,Applied Microbiology and Biotechnology,General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/biot.202100169

Reference16 articles.

1. Metabolic Burden: Cornerstones in Synthetic Biology and Metabolic Engineering Applications

2. Convergent engineering of syntrophic Escherichia coli coculture for efficient production of glycosides

3. Experimental and computational optimization of an Escherichia coli co-culture for the efficient production of flavonoids

4. Balancing the non-linear rosmarinic acid biosynthetic pathway by modular co-culture engineering

5. Development of a Quorum-Sensing Based Circuit for Control of Coculture Population Composition in a Naringenin Production System

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1. Cybernetic control of a natural microbial co-culture;2024-07-06

2. Synthetic microbial ecology: engineering habitats for modular consortia;Journal of Applied Microbiology;2024-06-27

3. Metabolome analysis of metabolic burden in Escherichia coli caused by overexpression of green fluorescent protein and delta-rhodopsin;Journal of Bioscience and Bioengineering;2024-03

4. Recent advances in screening amino acid overproducers;Engineering Microbiology;2023-03

5. Arduino Soft Sensor for Monitoring Schizochytrium sp. Fermentation, a Proof of Concept for the Industrial Application of Genome-Scale Metabolic Models in the Context of Pharma 4.0;Processes;2022-10-29

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