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Updated: Jan 22, 2026

Genetic Barcoding with Fluorescent Proteins for Multiplexed Applications
Published on: April 14, 2015
Barcoded DNA nanostructures for the multiplexed profiling of subcellular protein distribution
Noah R Sundah1,2, Nicholas R Y Ho2,3, Geok Soon Lim2,3
1Department of Biomedical Engineering, Faculty of Engineering, National University of Singapore, Singapore, Singapore.
Researchers developed a novel DNA nanostructure barcoding method for high-throughput protein profiling in whole cells. This technique significantly improves signal detection and enables accurate classification of breast cancer subtypes from rare patient samples.
Area of Science:
- Biotechnology
- Molecular Biology
- Nanotechnology
Background:
- High-throughput protein profiling is challenging despite advances in DNA sequencing.
- Existing methods lack the sensitivity and multiplexing capability for comprehensive cellular analysis.
Purpose of the Study:
- To develop a novel barcoding approach for high-throughput multiplexed protein profiling in whole cells.
- To enhance signal detection and enable subcellular localization analysis.
- To apply this method for accurate classification of rare patient samples, such as in breast cancer.
Main Methods:
- Utilized tetrahedral DNA nanostructures and antibody-conjugated DNA sequences for in situ hybridization.
- Employed nanostructure-assisted ligation with nanoparticle-bound DNA sequences for signal amplification and subcellular localization.
- Integrated the barcoding approach onto a microfluidic device for rare sample analysis.
Main Results:
- Achieved over 100-fold signal enhancement compared to linear DNA barcoding.
- Demonstrated accurate classification of breast cancer molecular subtypes using rare patient samples.
- Identified subcellular spatial markers associated with disease aggressiveness.
Conclusions:
- The DNA nanostructure barcoding approach offers a powerful tool for high-throughput protein profiling with enhanced sensitivity.
- This method facilitates precise molecular subtyping and identification of prognostic markers in challenging clinical samples.
- The technology holds significant potential for advancing cancer diagnostics and personalized medicine.
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