Single Cell Quantification of Let-7a with an Electrophoresis-Assisted Tandem Signal Amplification Strategy based on Intracellular Catalytic Hairpin Assembly-Branched Hybridization Chain Reaction-MNAzyme

The microRNA let-7a plays a pivotal role in tumor suppression by regulating RAS and other oncogenes. However, due to its extremely low abundance in individual cells, quantitative analysis of let-7a at the single-cell level remains challenging. In this study, we developed an electrophoresis-assisted intracellular catalytic hairpin assembly branched hybridization chain reaction-MNAzyme tandem signal amplification strategy. By integrating multimodal cascade signal amplification with microchip electrophoresis separation and laser-induced fluorescence detection, we achieved a detection limit of 8 × 10<sup>-16</sup> M, which is sufficient for single-cell quantification of let-7a. The levels of let-7a in cell lysates and in 20 individual cells from three cell lines were quantitatively analyzed with this method on a microfluidic chip electrophoresis platform. The results revealed marked differences in let-7a expression not only among distinct cell types but also between individual cells of the same type. The average copy numbers of let-7a per cell were determined to be 3258 in HL-7702 cells, and 1408 and 200 in MCF-7 and A549 cancer cells, respectively, underscoring the characteristic low expression of let-7a in various tumor cells, likely associated with its tumor-suppressive function. This method provides a powerful tool for single-cell biological studies of let-7a.

Authors

Institutions

Publication Details

Journal
Analytical Chemistry
Published
2026-01-19
DOI
https://doi.org/10.1021/acs.analchem.5c06513
Primary Topic
Advanced biosensing and bioanalysis techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Single Cell Quantification of Let-7a with an Electrophoresis-Assisted Tandem Signal Amplification Strategy based on Intracellular Catalytic Hairpin Assembly-Branched Hybridization Chain Reaction-MNAzyme

Shengyi Zhang, Caiying Li, Shulin Zhao, Ying Huang et al.
Analytical Chemistry
Advanced biosensing and bioanalysis techniques
article

Single Cell Quantification of Let-7a with an Electrophoresis-Assisted Tandem Signal Amplification Strategy based on Intracellular Catalytic Hairpin Assembly-Branched Hybridization Chain Reaction-MNAzyme

Shengyi Zhang, Caiying Li, Shulin Zhao, Ying Huang, L. J. Wu, Yuhai Chen, Ruiyan Li
article en

Abstract

The microRNA let-7a plays a pivotal role in tumor suppression by regulating RAS and other oncogenes. However, due to its extremely low abundance in individual cells, quantitative analysis of let-7a at the single-cell level remains challenging. In this study, we developed an electrophoresis-assisted intracellular catalytic hairpin assembly branched hybridization chain reaction-MNAzyme tandem signal amplification strategy. By integrating multimodal cascade signal amplification with microchip electrophoresis separation and laser-induced fluorescence detection, we achieved a detection limit of 8 × 10<sup>-16</sup> M, which is sufficient for single-cell quantification of let-7a. The levels of let-7a in cell lysates and in 20 individual cells from three cell lines were quantitatively analyzed with this method on a microfluidic chip electrophoresis platform. The results revealed marked differences in let-7a expression not only among distinct cell types but also between individual cells of the same type. The average copy numbers of let-7a per cell were determined to be 3258 in HL-7702 cells, and 1408 and 200 in MCF-7 and A549 cancer cells, respectively, underscoring the characteristic low expression of let-7a in various tumor cells, likely associated with its tumor-suppressive function. This method provides a powerful tool for single-cell biological studies of let-7a.

Analytical ChemistryVol. 98(4)
Ministry of Education of the People's Republic of China (CN), Ministry of Ecology and Environment (CN), Guangxi Normal University (CN)
Openalex Percentile: Top 85%
Advanced biosensing and bioanalysis techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.