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author:

Zhong, L. (Zhong, L..) [1] | Chen, H. (Chen, H..) [2] | Cao, S. (Cao, S..) [3] | Hu, S. (Hu, S..) [4]

Indexed by:

Scopus

Abstract:

Single nucleotide polymorphisms (SNPs) present significant challenges in microbial detection and treatment, further raising the demands on sequencing technologies. In response to these challenges, we have developed a novel barcode-based approach for highly sensitive single nucleotide recognition. This method leverages a dual-head folded complementary template probe in conjunction with DNA ligase to specifically identify the target base. Upon recognition, the system triggers rolling circle amplification (RCA) followed by the self-assembly of CdSe quantum dots onto polystyrene microspheres, enabling a single-particle fluorescence readout. This approach allows for precise base identification at individual loci, which are then analyzed using a bio-barcode array to screen for base changes across multiple sites. This method was applied to sequence a drug-resistant mutation site in Helicobacter pylori (H. pylori), demonstrating excellent accuracy and stability. Offering high precision, high sensitivity, and single nucleotide resolution, this approach shows great promise as a next-generation sequencing method. © 2024 by the authors.

Keyword:

barcode Helicobacter pylori rolling circle amplification single nucleotide polymorphism

Community:

  • [ 1 ] [Zhong L.]Department of Health Inspection and Quarantine, School of Public Health, Fujian Medical University, Fuzhou, 350122, China
  • [ 2 ] [Chen H.]Department of Health Inspection and Quarantine, School of Public Health, Fujian Medical University, Fuzhou, 350122, China
  • [ 3 ] [Cao S.]Key Laboratory of Analysis and Detecting Technology, College of Chemistry, Food Safety MOE, Fuzhou University, Fuzhou, 350002, China
  • [ 4 ] [Hu S.]Department of Health Inspection and Quarantine, School of Public Health, Fujian Medical University, Fuzhou, 350122, China

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Source :

Biosensors

ISSN: 2079-6374

Year: 2024

Issue: 11

Volume: 14

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ESI Highly Cited Papers on the List: 0 Unfold All

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30 Days PV: 0

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