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April 10, 2026Nature Communications0 citationsOpen Access

De novo-designed ribozyme-controlled riboregulator for cell-free diagnostics

YTYu TangArmy Medical UniversityJLJie LuoArmy Medical UniversityBNBen NiuArmy Medical University

Key Points

  • The aim is to develop a cell-free diagnostic system that enables nucleic acid detection without preamplification.
  • Developed TRACKer platform for universal viral RNA detection.
  • Integrated ribozyme allostery, riboregulator activation, and output modules.
  • Implemented signal detection using luminescent quantification and lateral flow visualization.
  • Achieved detection within 70 minutes at attomolar sensitivity.
  • Demonstrated detection of six respiratory viruses with high sensitivity.
  • Provided rapid nucleic acid detection without the need for preamplification.
  • Showed versatility and scalability for point-of-care diagnostics.

Abstract

Abstract Cell-free systems have great potential for nucleic acid assays, yet universal onsite diagnostics without preamplification are limited. Here, a universal cell-free diagnostic platform termed TRACKer (Target-Responsive non-preAmplification Cell-free diagnostic Kit) has been developed for detecting multiple respiratory viral RNAs in laboratory and field settings. TRACKer integrates three modules: ribozyme allostery module, riboregulator activation module, and output module. The ribozyme allostery module enables universal target recognition through strand displacement-mediated ribozyme conformational switching. The riboregulator activation module achieves preamplification-free detection via cascade expression of reporter proteins. The output module provides swappable reporter templates for luminescent quantification and lateral flow visualization in diverse scenarios. TRACKer is a robust system that enables rapid ( < 70 min) nucleic acid detection without preamplification and demonstrates attomolar sensitivity (1-10 aM) for six respiratory viruses. Overall, TRACKer presents a promising approach to nucleic acid detection, offering a low-cost and scalable solution with potential applications in point-of-care diagnostics and beyond.

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Cite This Study

Tang et al. (2026) studied this question.

synapsesocial.com/papers/69d895ea6c1944d70ce0708dhttps://doi.org/10.1038/s41467-026-71684-6
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