journal article·2023

Universal probe-based SNP genotyping with visual readout: a robust and versatile method

Zhongzhong Wang, Zhang Zhang, Wang Luo, Luojia Wang, Xiaole Han, Rong Zhao, Xin Liu, Jianhong Zhang, Wen Yu, Junjie Li, Yujun Yang, Chen Zuo, Guoming Xie

Nanoscale· Volume 15· Issue 30
Publisher page

Abstract

Detection of single nucleotide polymorphisms (SNPs) is critical for personalized clinical diagnosis, treatment, and medication. Current clinical detection methods suffer from primer dimerization and require the redesigning of reaction systems for different targets, resulting in a time-consuming and laborious process. Here, we present a robust and versatile method for SNP typing by using tailed primers and universal small molecule probes in combination with a visualized lateral flow assay (LFA). This approach enables not only rapid typing of different targets, but also eliminates the interference of primer dimers and enhances the accuracy and reliability of the results. Our proposed universal assay has been successfully applied to the typing of four SNP loci of clinical samples to verify the accuracy and universality, and the results are consistent with those obtained by Sanger sequencing. Therefore, our study establishes a new universal "typing formula" using nucleic acid tags and small molecule probes that provides a powerful genotyping platform for genetic analysis and molecular diagnostics.
Source: openalex_inverted_index · Quality: candidate unverified · Source record ↗

Research context

OpenAlex topics: Advanced biosensing and bioanalysis techniques · Biosensors and Analytical Detection · Innovative Microfluidic and Catalytic Techniques Innovation

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Key Laboratory of Clinical Laboratory Diagnostics (Chinese Ministry of Education), College of Laboratory Medicine, Chongqing Medical Laboratory Microfluidics and SPRi Engineering Research Center, Chongqing Medical University, Chongqing 400016, P.R. China

Clinical Laboratories, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, P.R. China

Chongqing University Cancer Hospital and Chongqing Cancer Institute, Chongqing 400030, P.R. China

Funding

National Natural Science Foundation of China · National Key Research and Development Program of China

References (39)

Show source-provided references
1. Marchini · Nat. Rev. Genet. · 2010 · 11 · 49910.1038/nrg2796 ↗
2. Kim · Annu. Rev. Biomed. Eng. · 2007 · 9 · 28910.1146/annurev.bioeng.9.060906.152037 ↗
3. Bandele · Nucleic Acids Res. · 2011 · 39 · 17810.1093/nar/gkq764 ↗
4. Baselmans · Biol. Psychiatry · 2021 · 89 · 1110.1016/j.biopsych.2020.05.034 ↗
5. Shen · Sci. Transl. Med. · 2023 · 15 · eabq575310.1126/scitranslmed.abq5753 ↗
6. Gao · Nucleic Acids Res. · 2023 · 51 · D81610.1093/nar/gkac954 ↗
7. Leydon · Plant Cell · 2017 · 29 · 98410.1105/tpc.16.00816 ↗
8. Manishankar · Cell · 2015 · 160 · 104510.1016/j.cell.2015.02.037 ↗
9. He · Adv. Sci. · 2017 · 4 · 170015810.1002/advs.201700158 ↗
10. Wei · ACS Appl. Mater. Interfaces · 2016 · 8 · 1591110.1021/acsami.6b03896 ↗
11. Valentini · Nanoscale · 2016 · 8 · 1102710.1039/C6NR02200F ↗
12. Luo · Sens. Actuators, B · 2022 · 358 · 13146210.1016/j.snb.2022.131462 ↗
13. Nielsen · Nat. Rev. Genet. · 2011 · 12 · 44310.1038/nrg2986 ↗
14. Gunderson · Nat. Genet. · 2005 · 37 · 54910.1038/ng1547 ↗
15. Liu · Plant Methods · 2012 · 8 · 3410.1186/1746-4811-8-34 ↗
16. Mirza · Sci. Rep. · 2018 · 8 · 1321510.1038/s41598-018-30301-3 ↗
17. Liu · Biosens. Bioelectron. · 2018 · 115 · 7010.1016/j.bios.2018.05.021 ↗
18. Hwang · Proc. Natl. Acad. Sci. U. S. A. · 2016 · 113 · 708810.1073/pnas.1603753113 ↗
19. de Olazarra · Lab Chip · 2022 · 22 · 213110.1039/D2LC00233G ↗
20. Varona · ACS Omega · 2021 · 6 · 346310.1021/acsomega.0c06093 ↗
21. Zeng · Anal. Chem. · 2022 · 94 · 744210.1021/acs.analchem.2c01373 ↗
22. Zeng · Anal. Chem. · 2019 · 91 · 244710.1021/acs.analchem.8b05265 ↗
23. Zhang · Sens. Actuators, B · 2020 · 307 · 12763110.1016/j.snb.2019.127631 ↗
24. Becherer · Anal. Chem. · 2018 · 90 · 474110.1021/acs.analchem.7b05371 ↗
25. Yang · J. Agric. Food Chem. · 2021 · 69 · 170510.1021/acs.jafc.0c06433 ↗
26. Gong · Chem. Commun. · 2021 · 57 · 897710.1039/D1CC03743A ↗
27. Zeng · Anal. Chem. · 2019 · 91 · 783510.1021/acs.analchem.9b01557 ↗
28. Wang · Biosens. Bioelectron. · 2011 · 26 · 371910.1016/j.bios.2011.02.027 ↗
29. Li · Hum. Mutat. · 2008 · 29 · 30610.1002/humu.20622 ↗
30. Tortajada-Genaro · Analyst · 2019 · 144 · 70710.1039/C8AN01830H ↗
31. Liu · ACS Nano · 2021 · 15 · 359310.1021/acsnano.0c10035 ↗
32. Sena-Torralba · Chem. Rev. · 2022 · 122 · 1488110.1021/acs.chemrev.1c01012 ↗
33. Oliveira-Rodriguez · J. Extracell. Vesicles · 2016 · 5 · 3180310.3402/jev.v5.31803 ↗
34. Ye · Theranostics · 2020 · 10 · 435910.7150/thno.44298 ↗
35. Jauset-Rubio · Sci. Rep. · 2016 · 6 · 3773210.1038/srep37732 ↗
36. Lin · Lab Chip · 2018 · 18 · 96510.1039/C8LC00010G ↗
37. Xu · Anal. Chem. · 2014 · 86 · 561110.1021/ac5010458 ↗
38. Tanha · Genet. Test. Mol. Biomarkers · 2015 · 19 · 15610.1089/gtmb.2014.0289 ↗
39. Hui · Nanoscale · 2016 · 8 · 357910.1039/C5NR07547E ↗