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Updated: May 27, 2026

Remote Laboratory Management: Respiratory Virus Diagnostics
Published on: April 6, 2019
A portable Cas13a self-cascading cyclic amplification-integrated system enables multiple respiratory tract viruses
Huiwen Wang1, Yakun Shi1, Tingting Feng2
1Guangdong Provincial Key Laboratory of Sensing Technology and Biomedical Instrument, School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, 518107, China.
Abstract:
CRISPR-based molecular detection systems typically require pre-amplification for adequate sensitivity that prolongs reactions and increases risks of nonspecific amplification, primer interference, and aerosol contamination. In this work, we developed a LbuCas13a-based self-cascading cyclic amplification assay (SCC-Cas13a) for simultaneous detection of multiple respiratory tract viruses in a pre-amplification-free manner. It was achieved by designing CRISPR RNAs (crRNAs) that target specific viral RNA sequences and hairpin probes (HP) that contain multiple uracil structures. The sequence-specific hybridization of crRNA and target RNA activates trans-cleavage activity of LbuCas13a, which cleaves the HP at its poly-U-rich stem-loop region. This results in the release of single-stranded RNA activators that are identical to the target RNA from the HP. This triggers another round of sequence-specific hybridization with crRNA, and therefore a self-cascading cyclic amplification. In a proof-of-concept demonstration, respiratory syncytial virus (RSV), influenza A (Flu A), and SARS-CoV-2 were detected within 3 min, exhibiting limit of detections (LODs) of 230 aM (RSV), 310 aM (Flu A), and 420 aM (SARS-CoV-2), respectively. Notably, these LODs represent a 104-fold enhancement over conventional CRISPR-based systems. The SCC-Cas13a eliminates reverse transcription and pre-amplification steps, streamlining workflow into a single-step reaction. Furthermore, a Radial microfluidic chip (R-chip) was engineered to integrate this SCC-Cas13a for simultaneous detection of RSV, Flu A, and SARS-CoV-2 in clinical nasopharyngeal swab samples. Assisted by a smartphone-based device which can stably excite and accurately collect fluorescence signals from R-chips, this research established an innovative solution for multiplexed pathogen identification and precise molecular diagnostics in resource-limited settings.

