# Multicomponent DNA Nanomachines for Amplification-Free Viral RNA Detection

## TL;DR

This paper introduces DNA nanomachines that can detect viral RNA without amplification, offering a cost-effective and reliable alternative to traditional methods for diagnosing respiratory viruses.

## Contribution

The study presents multicomponent DNA nanomachines with a catalytic core for amplification-free detection of RNA viruses like HPIV and RSV.

## Key findings

- DNA nanomachines generate a fluorescent signal upon detecting target viral RNA.
- The nanomachines have six RNA-binding arms for efficient recognition and unwinding of RNA structures.
- The system shows potential for real-world clinical use due to its simplicity and sensitivity.

## Abstract

The rapid and accurate detection of viral infections is of paramount importance, given their widespread impact across diverse demographics. Common viruses such as influenza, parainfluenza, rhinovirus, and adenovirus contribute significantly to respiratory illnesses. The pathogenic nature of certain viruses, characterized by rapid mutations and high transmissibility, underscores the urgent need for dynamic detection methodologies. Quantitative reverse transcription PCR (RT-qPCR) remains the gold-standard diagnostic tool. Its reliance on costly equipment, reagents, and skilled personnel has driven explorations of alternative approaches, such as catalytic DNA nanomachines. Diagnostic platforms using catalytic DNA nanomachines offer amplification-free nucleic acid detection without the need for protein enzymes and demonstrate feasibility and cost-effectiveness for both laboratory and point-of-care diagnostics. This study focuses on the development of multicomponent DNA nanomachines with catalytic proficiency towards a fluorescent substrate, enabling the generation of a fluorescent signal upon the presence of target nucleic acids. Specifically tailored variants are designed for detecting human parainfluenza virus type 3 (HPIV) and respiratory syncytial virus (RSV). The engineered DNA nanomachine features six RNA-binding arms for recognition and unwinding of RNA secondary structures, along with a catalytic core for nucleic acid cleavage, indicating potential utility in real clinical practice with minimal requirements. This research showcases the potential of DNA nanomachines as a reliable and sensitive diagnostic tool for RNA virus identification, offering promising prospects for clinical applications in the realm of infectious disease management.