85年属什么的生肖
- Jialing ZhongJialing ZhongResearch Center for Nanosensor Molecular Diagnostic & Treatment Technology, College of Chemistry and Environmental Engineering, Shenzhen University, Shenzhen, 518060 Guangdong, P. R. ChinaShenzhen Key Laboratory of Nano-Biosensing Technology, Shenzhen, 518060 Guangdong, P. R. ChinaMore by Jialing Zhong
- Yong ChenYong ChenResearch Center for Nanosensor Molecular Diagnostic & Treatment Technology, College of Chemistry and Environmental Engineering, Shenzhen University, Shenzhen, 518060 Guangdong, P. R. ChinaEnvironmental Engineering and Graphene Composite, Research Center, College of Chemistry and Environmental Engineering, Shenzhen University, Shenzhen, 518060 Guangdong, P. R. ChinaMore by Yong Chen
- Yueyu DongYueyu DongResearch Center for Nanosensor Molecular Diagnostic & Treatment Technology, College of Chemistry and Environmental Engineering, Shenzhen University, Shenzhen, 518060 Guangdong, P. R. ChinaShenzhen Key Laboratory of Nano-Biosensing Technology, Shenzhen, 518060 Guangdong, P. R. ChinaMore by Yueyu Dong
- Chuanghao GuoChuanghao GuoResearch Center for Nanosensor Molecular Diagnostic & Treatment Technology, College of Chemistry and Environmental Engineering, Shenzhen University, Shenzhen, 518060 Guangdong, P. R. ChinaShenzhen Key Laboratory of Nano-Biosensing Technology, Shenzhen, 518060 Guangdong, P. R. ChinaMore by Chuanghao Guo
- Yizhen Liu*Yizhen Liu*[email protected]Research Center for Nanosensor Molecular Diagnostic & Treatment Technology, College of Chemistry and Environmental Engineering, Shenzhen University, Shenzhen, 518060 Guangdong, P. R. ChinaShenzhen Key Laboratory of Nano-Biosensing Technology, Shenzhen, 518060 Guangdong, P. R. ChinaMore by Yizhen Liu
Abstract
Rapid and reliable detection of single nucleotide variants (SNVs) is essential for accurate pathogen diagnostics, genetic mutation screening, and personalized medicine. However, existing CRISPR-based nucleic acid detection platforms frequently suffer from ambiguous signal interpretation, specificity limitations, and complex assay workflows. Herein, we introduce SPARC (specific and precise mutation recognition with Cas12a/Cas13a), a novel orthogonal dual-channel CRISPR assay that significantly enhances the SNV detection reliability. SPARC integrates Acidaminococcus sp. Cas12a (AsCas12a), which specifically detects a conserved region as an internal reference, with our recently identified DNA-activated Leptotrichia buccalis Cas13a (LbuCas13a), which exhibits exceptionally high intrinsic SNV specificity without requiring engineered crRNA mismatches. The orthogonal design uniquely resolves the common diagnostic ambiguity between genuine SNVs and target absence. Combined with recombinase polymerase amplification (RPA) and T7 exonuclease digestion, the SPARC platform achieved a sensitivity as low as 1 aM. We demonstrated the platform’s robust clinical applicability through successful detection and accurate differentiation of hepatitis B virus (HBV) and clinically significant YMDD resistance mutations. This work presents an innovative and versatile CRISPR-based solution, highlighting substantial potential for advancing clinical diagnostics and precision medicine.
Cited By
This article has not yet been cited by other publications.
Article Views
Altmetric
Citations
Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.
Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.
The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated.