Development of a two component system based biosensor with high sensitivity for the detection of copper ions.

Copper / analysis Biosensing Techniques / methods Escherichia coli / genetics Escherichia coli Proteins / genetics Limit of Detection

Journal

Communications biology
ISSN: 2399-3642
Titre abrégé: Commun Biol
Pays: England
ID NLM: 101719179

Informations de publication

Date de publication:
29 Oct 2024
Historique:
received: 07 05 2024
accepted: 21 10 2024
medline: 30 10 2024
pubmed: 30 10 2024
entrez: 30 10 2024
Statut: epublish

Résumé

Recent advancements in bacterial two-component systems (TCS) have spurred research into TCS-based biosensors, notably for their signal amplification and broad input responsiveness. The CusRS system in Escherichia coli (E. coli), comprising cusS and cusR genes, is a copper-sensing module in E. coli. However, due to insufficient sensing performance, CusRS-based biosensors often cannot meet practical requirements. To address this issue, we made improvements and innovation from several aspects. CusR and CusS expression were adjusted to enhance the Cu(II) biosensor's performance. A copy-number inducible plasmid was used for signal amplification, while removing copper detox genes cueO and cusCFBA improved sensitivity and lowered detection limits. Ultimately, in the optimized biosensor of Cu26, the fold-change (I/I

Identifiants

DOI: 10.1038/s42003-024-07112-6 PMID: 39472725
pubmed: 39472725
doi: 10.1038/s42003-024-07112-6
pii: 10.1038/s42003-024-07112-6
doi:

Substances chimiques

Copper 789U1901C5
Escherichia coli Proteins 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1407

Subventions

Organisme : National Natural Science Foundation of China (National Science Foundation of China)
ID : 32171245
Organisme : National Natural Science Foundation of China (National Science Foundation of China)
ID : 32171245
Organisme : National Natural Science Foundation of China (National Science Foundation of China)
ID : 32171245

Informations de copyright

© 2024. The Author(s).

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Auteurs

Yu Fu (Y)

School of Chemistry, Northeast Normal University, Changchun, Jilin, China.
State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, Jilin, China.
School of Applied Chemistry and Engineering, University of Science and Technology of China, Hefei, Anhui, China.

Jiajia Li (J)

School of Chemistry, Northeast Normal University, Changchun, Jilin, China.

Jin Wang (J)

State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, Jilin, China.
School of Applied Chemistry and Engineering, University of Science and Technology of China, Hefei, Anhui, China.
Department of Chemistry and Physics, State University of New York at Stony Brook, Stony Brook, NY, USA.

Erkang Wang (E)

State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, Jilin, China.
School of Applied Chemistry and Engineering, University of Science and Technology of China, Hefei, Anhui, China.

Xiaona Fang (X)

School of Chemistry, Northeast Normal University, Changchun, Jilin, China. fangxn482@nenu.edu.cn.
ORCID: 0009-0002-9849-7758

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Classifications MeSH

questionsmedicales.fr › Produits chimiques inorganiques › Métaux › Métaux lourds › Cuivre › Development of a two component system based...
questionsmedicales.fr › Techniques d'investigation › Techniques de sonde moléculaire › Techniques de biocapteur › Development of a two component system based...
questionsmedicales.fr › Bactéries › Proteobacteria › Gammaproteobacteria › Enterobacteriaceae › Escherichia › Escherichia coli › Development of a two component system based...
questionsmedicales.fr › Acides aminés, peptides et protéines › Protéines › Protéines bactériennes › Protéines Escherichia coli › Development of a two component system based...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Statistiques comme sujet › Sensibilité et spécificité › Limite de détection › Development of a two component system based...