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Detection of MicroRNA Expression Dynamics Using LNA/DNA Nanobiosensor.
Yuwen Zhao1,2, Shue Wang3
1Department of Chemistry, Chemical and Biomedical Engineering, Tagliatela College of Engineering, University of New Haven, West Haven, CT, USA.
Methods in Molecular Biology (Clifton, N.J.)
|January 23, 2023
Summary
Researchers developed a novel locked nucleic acid/DNA (LNA/DNA) nanobiosensor for real-time single-cell gene expression analysis in living cells. This method enables dynamic monitoring of spatiotemporal gene expression without cell lysis.
Area of Science:
- Molecular Biology
- Cell Biology
- Biotechnology
Background:
- Investigating complex biological processes necessitates tools for probing spatiotemporal dynamics in individual cells.
- Current single-cell gene expression analysis methods like RNA in situ hybridization and single-cell PCR require cell lysis or fixation, preventing dynamic analysis.
- Real-time gene expression analysis in living cells remains a significant challenge.
Purpose of the Study:
- To develop a method for real-time single-cell gene expression analysis in living mammalian cells.
- To overcome the limitations of existing techniques that require cell lysis or fixation.
- To enable the study of dynamic and spatiotemporal gene expression regulation.
Main Methods:
- Development of a locked nucleic acid/DNA (LNA/DNA) nanobiosensor.
- The nanobiosensor utilizes a fluorophore-labeled detecting strand and a quenching strand.
- The probe hybridizes with target microRNA (miRNA), displacing the quencher and initiating fluorescence, detected via time-lapse microscopy.
Main Results:
- Demonstrated a method for single-cell gene expression analysis in living mammalian cells.
- Enabled large-scale dynamic monitoring of gene expression, including spatiotemporal distribution and heterogeneity.
- Showcased multiplex detection of miRNAs using different LNA/DNA nanobiosensors.
Conclusions:
- The LNA/DNA nanobiosensor provides a fast, generally applicable, and accessible method for real-time single-cell gene expression analysis.
- This technique facilitates the study of dynamic biological processes and gene expression heterogeneity in living cells.
- The method overcomes the limitations of traditional techniques by avoiding cell lysis or fixation.
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