Bioresource Technology, Journal Year: 2024, Volume and Issue: 406, P. 131050 - 131050
Published: June 26, 2024
Language: Английский
Bioresource Technology, Journal Year: 2024, Volume and Issue: 406, P. 131050 - 131050
Published: June 26, 2024
Language: Английский
Food Bioscience, Journal Year: 2025, Volume and Issue: unknown, P. 106459 - 106459
Published: March 1, 2025
Language: Английский
Citations
0Biosensors, Journal Year: 2025, Volume and Issue: 15(4), P. 221 - 221
Published: March 31, 2025
Transcription factor-based biosensors (TFBs) are powerful tools in microbial biosensor applications, enabling dynamic control of metabolic pathways, real-time monitoring intracellular metabolites, and high-throughput screening (HTS) for strain engineering. These systems use transcription factors (TFs) to convert metabolite concentrations into quantifiable outputs, precise regulation fluxes biosynthetic efficiency cell factories. Recent advancements TFB, including improved sensitivity, specificity, range, have broadened their applications synthetic biology industrial biotechnology. Computational such as Cello further revolutionized TFB design, silico optimization construction complex genetic circuits integrating multiple signals achieving gene regulation. This review explores innovations biosensors, role engineering adaptive evolution, future integration with artificial intelligence advanced technologies overcome critical challenges bioproduction.
Language: Английский
Citations
0Metabolic Engineering, Journal Year: 2022, Volume and Issue: 74, P. 1 - 10
Published: Aug. 27, 2022
Language: Английский
Citations
17Advanced Science, Journal Year: 2024, Volume and Issue: 11(23)
Published: April 16, 2024
Abstract Microbial factories lacking the ability of dynamically regulating pathway enzymes overexpression, according to in situ metabolite concentrations, are suboptimal, especially when metabolic intermediates competed by growth and chemical production. The production higher alcohols (HAs), which hijacks amino acids (AAs) from protein biosynthesis, minimizes intracellular concentration AAs thus inhibits host growth. To balance resource allocation maintain stable AA flux, this work utilizes AA‐responsive transcriptional attenuator ivbL HA‐responsive activator BmoR establish a recognition‐based auto‐dynamic regulation system (CRUISE). This ultimately maintains homeostasis maximizes HA. It is demonstrated that ‐driven overexpression can regulate AA‐to‐HA conversion while BmoR‐driven accelerate biosynthesis during HA feedback activation mode. flux pathways balanced via concentration, vice versa stabilized competition between conversion. CRUISE, further aided scaffold‐based self‐assembly, enables 40.4 g L −1 isobutanol bioreactor. Taken together, CRUISE realizes robust sheds new light on dynamic control process
Language: Английский
Citations
3Bioresource Technology, Journal Year: 2024, Volume and Issue: 406, P. 131050 - 131050
Published: June 26, 2024
Language: Английский
Citations
3