Specific and robust hybridization based on double-stranded nucleic acids with single-base resolution. Article

Weng, Zhi, Yu, Hongyan, Luo, Wang et al. (2022). Specific and robust hybridization based on double-stranded nucleic acids with single-base resolution. . Analytica Chimica Acta, 1199 339568. 10.1016/j.aca.2022.339568

cited authors

  • Weng, Zhi; Yu, Hongyan; Luo, Wang; Zhang, Li; Zhang, Zhang; Wang, Ting; Liu, Qian; Guo, Yongcan; Yang, Yujun; Li, Junjie; Yang, Liu; Dai, Ling; Pu, Qinli; Zhou, Xi; Xie, Guoming

authors

abstract

  • Nucleic acid hybridization plays a critical role in medical diagnostics and nanotechnology, but its selectivity and robustness remain to be improved. Here, focusing on double-stranded nucleic acid-based hybridization, we present a series of related strategies. Above all, two simple strategies for enriching toehold-included double-stranded nucleic acids have been proposed. On this basis, two universal hybridization methods with higher selectivity than typical toehold exchange reaction and a long target detection method using short probes to extend the detectable length range are realized. We also provide a double-stranded nucleic acids-catalyzed cycle amplification reaction to improve sensitivity, which has superior interference resistance and excellent discrimination for single-base mismatches. Besides, double-stranded nucleic acids with forked toeholds are used as essential elements to construct a series of logic gates that can evaluate different input combinations. Given the unique advantages of double-stranded nucleic acids, we expect the current work to advance the application of double-stranded nucleic acid-based hybridization in medical diagnostics and nanotechnology.

publication date

  • March 22, 2022

published in

keywords

  • DNA strand displacement
  • Logic computation
  • Nanotechnology
  • Nucleic Acid Amplification Techniques
  • Nucleic Acid Hybridization
  • Nucleic Acids
  • Nucleic acid hybridization
  • Polymerase chain reaction
  • Single-base mismatches

Location

  • Netherlands

Digital Object Identifier (DOI)

start page

  • 339568

volume

  • 1199