Extended Linear Confined Zipper Cascaded Reaction for Highly Efficient Intracellular Imaging and Assisting Diagnosis of Thyroid Cancer

Highly sensitive detection and in situ tracing analysis of small-molecule biomarkers are particularly indispensable to deciphering the pathogenesis and pathological process. Despite DNA assembly-based barcoding and amplification strategies across the breadth of molecular in situ analysis, an easy-to-design, nonenzymatic, highly efficient, background leakage-avoided, highly specific, and sensitive system is highly required yet is still in its infancy. Spatial confinement nano-assembly can increase the reaction efficiency in a localized isothermal autonomous manner. Here in this work, the DNA assembly that originally relies on random collisions between freely diffusing probes is constructed between two extended linear confined probes, by which a novel confined reaction model named as extended linear confined zipper hybridization chain reaction (ZHCR) is proposed. ZHCR can significantly improve the efficiency of probe assembly and enable stable assembly within live cells, providing precise in situ target information. ZHCR system is employed to analyze two thyroid cancer-specific miRNAs, achieving in situ tracing and serum content detection. By integrating machine learning algorithms, ZHCR demonstrates significant potential in thyroid cancer auxiliary diagnosis, establishing a versatile platform that enables both highly sensitive homogeneous detection and in situ analysis of low-abundance nucleic acid fragments.

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Publication Details

Journal
Small
Published
2025-05-23
DOI
https://doi.org/10.1002/smll.202500202
Citations
1
Primary Topic
Advanced biosensing and bioanalysis techniques
Type
article
Field-Weighted Citation Impact
0.81

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article

Extended Linear Confined Zipper Cascaded Reaction for Highly Efficient Intracellular Imaging and Assisting Diagnosis of Thyroid Cancer

Junman Chen, Min Liu, Ketong Yang, Kaili Duan et al.
1 citations
Small
Advanced biosensing and bioanalysis techniques
0.81
article

Extended Linear Confined Zipper Cascaded Reaction for Highly Efficient Intracellular Imaging and Assisting Diagnosis of Thyroid Cancer

Junman Chen, Min Liu, Ketong Yang, Kaili Duan, Jingling Xie, Lu Liu, Xiaoming Li, Rong Luo, Pan Ju
article en
1 citations

Abstract

Highly sensitive detection and in situ tracing analysis of small-molecule biomarkers are particularly indispensable to deciphering the pathogenesis and pathological process. Despite DNA assembly-based barcoding and amplification strategies across the breadth of molecular in situ analysis, an easy-to-design, nonenzymatic, highly efficient, background leakage-avoided, highly specific, and sensitive system is highly required yet is still in its infancy. Spatial confinement nano-assembly can increase the reaction efficiency in a localized isothermal autonomous manner. Here in this work, the DNA assembly that originally relies on random collisions between freely diffusing probes is constructed between two extended linear confined probes, by which a novel confined reaction model named as extended linear confined zipper hybridization chain reaction (ZHCR) is proposed. ZHCR can significantly improve the efficiency of probe assembly and enable stable assembly within live cells, providing precise in situ target information. ZHCR system is employed to analyze two thyroid cancer-specific miRNAs, achieving in situ tracing and serum content detection. By integrating machine learning algorithms, ZHCR demonstrates significant potential in thyroid cancer auxiliary diagnosis, establishing a versatile platform that enables both highly sensitive homogeneous detection and in situ analysis of low-abundance nucleic acid fragments.

SmallVol. 21(30)
The Affiliated Yongchuan Hospital of Chongqing Medical University (CN), Children's Hospital of Chongqing Medical University (CN), First People's Hospital of Chongqing (CN), Chengdu University of Traditional Chinese Medicine (CN), Chongqing Medical University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 28%
Advanced biosensing and bioanalysis techniques
0.81
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