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Author Spotlight: Advancements in DNA Nanosensors – Addressing Sensitivity and Selectivity Challenges in Molecular Detection

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Optimizing locked nucleic acid modification in double-stranded biosensors for live single cell analysis.

Samuel A Vilchez Mercedes¹, Ian Eder¹, Mona Ahmed¹

¹Department of Biomedical Engineering, The Pennsylvania State University, University Park, PA, 16802, USA. pak@engr.psu.edu.

|January 27, 2022

Summary

Optimizing locked nucleic acid (LNA) modifications in double-stranded (ds) biosensors is key for accurate nucleic acid detection. Strategic LNA placement enhances specificity but requires careful balancing to ensure effective target binding and signal generation in live cells.

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Area of Science:

Molecular Biology
Biochemistry
Biotechnology

Background:

Double-stranded (ds) biosensors are homogeneous oligonucleotide probes used for nucleic acid detection and live cell imaging.
Locked nucleic acid (LNA) modifications enhance probe binding affinity, specificity, and nuclease resistance.
However, LNA incorporation in ds biosensors can impede target binding and reduce signal output.

Purpose of the Study:

To investigate the impact of LNA modification position and quantity within the quencher sequence on dsLNA biosensor performance.
To characterize the effects of LNA on fluorophore-quencher interactions, target detection, and specificity.
To evaluate dsLNA biosensor performance in various biological contexts, including 2D monolayers and 3D spheroids.

Main Methods:

Systematic alteration of LNA monomer content and placement in the quencher sequence of ds biosensors.
Characterization of fluorescence resonance energy transfer (FRET) efficiency between fluorophore and quencher.
Assessment of target nucleic acid binding affinity and specificity in solution.
In situ evaluation of biosensor performance in 2D cell cultures and 3D multicellular spheroids.

Main Results:

Increased LNA content in the quencher sequence significantly enhances biosensor specificity.
High LNA concentrations in the quencher can inhibit effective target binding, leading to reduced signal.
Optimal LNA modification strategies are crucial for balancing specificity and sensitivity.
dsLNA biosensors demonstrate functional performance in both 2D and 3D cellular environments.

Conclusions:

Guidelines for optimizing LNA modification in ds biosensors are provided.
Strategic LNA placement is essential for enhancing specificity in nucleic acid detection.
Careful consideration of LNA quantity is necessary to maintain target binding and signal integrity.
This research advances the application of dsLNA biosensors for live-cell gene expression analysis.