Detection of cellular metabolites by redox enzymatic cascades
Issued Date
2022-06-01
Resource Type
ISSN
18606768
eISSN
18607314
Scopus ID
2-s2.0-85125996781
Pubmed ID
35192744
Journal Title
Biotechnology Journal
Volume
17
Issue
6
Rights Holder(s)
SCOPUS
Bibliographic Citation
Biotechnology Journal Vol.17 No.6 (2022)
Suggested Citation
Tinikul R., Trisrivirat D., Chinantuya W., Wongnate T., Watthaisong P., Phonbuppha J., Chaiyen P. Detection of cellular metabolites by redox enzymatic cascades. Biotechnology Journal Vol.17 No.6 (2022). doi:10.1002/biot.202100466 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/83730
Title
Detection of cellular metabolites by redox enzymatic cascades
Author's Affiliation
Other Contributor(s)
Abstract
Detection of cellular metabolites that are disease biomarkers is important for human healthcare monitoring and assessing prognosis and therapeutic response. Accurate and rapid detection of microbial metabolites and pathway intermediates is also crucial for the process optimization required for development of bioconversion methods using metabolically engineered cells. Various redox enzymes can generate electrons that can be employed in enzyme-based biosensors and in the detection of cellular metabolites. These reactions can directly transform target compounds into various readout signals. By incorporating engineered enzymes into enzymatic cascades, the readout signals can be improved in terms of accuracy and sensitivity. This review critically discusses selected redox enzymatic and chemoenzymatic cascades currently employed for detection of human- and microbe-related cellular metabolites including, amino acids, d-glucose, inorganic ions (pyrophosphate, phosphate, and sulfate), nitro- and halogenated phenols, NAD(P)H, fatty acids, fatty aldehyde, alkane, short chain acids, and cellular metabolites.