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Updated: Jun 4, 2025

Detection of Intracellular Gene Expression in Live Cells of Murine, Human and Porcine Origin Using Fluorescence-labeled Nanoparticles
Published on: November 13, 2015
Functionalized Multichannel Fluorescence-Encoded Nanosystem on Erythrocyte-Coated Nanoparticles for Precise Cancer
Xiaohua Zhu1,2, Jiali Chen1,2, Junyu Liao2
1State Key Laboratory of Chemo/Bio-Sensing and Chemometrics, College of Biology, College of Chemistry and Chemical Engineering, Hunan Provincial Key Laboratory of Biomacromolecular Chemical Biology, Hunan University, Changsha 410082, P. R. China.
A new nanosystem provides rapid, accurate cancer cell detection and subtype classification within 30 minutes. This breakthrough in molecular diagnostics aids personalized oncology and label-free oral squamous cell carcinoma diagnosis.
Area of Science:
- Nanotechnology
- Molecular Diagnostics
- Oncology
Background:
- Accurate and rapid cancer subtype discrimination is crucial for personalized cancer treatment.
- Current diagnostic methods often fall short in speed and precision.
Purpose of the Study:
- To develop a novel multichannel fluorescence-encoded nanosystem for rapid and sensitive cancer cell profiling.
- To enable accurate classification of cancer cell lines and subtypes, including oral squamous cell carcinoma (OSCC).
Main Methods:
- Utilized erythrocyte-coated polydopamine nanoparticles (PDA@EM) functionalized with fluorescent proteins.
- Developed a "turn-on" fluorescence mechanism for sensitive detection upon cell addition.
- Applied the nanosystem for label-free diagnostics of OSCC malignancy in clinical samples.
Main Results:
- Achieved highly sensitive "turn-on" fluorescence profiling of cancer cells within 30 minutes.
- Demonstrated 100% accuracy in distinguishing proteins and classifying diverse cancer cell lines, including OSCC subtypes.
- Validated rapid, label-free OSCC malignancy diagnostics from postsurgery clinical samples.
Conclusions:
- The multichannel nanosensor offers an advanced platform for molecular diagnostics.
- This technology paves the way for personalized cancer treatment strategies in clinical oncology.
- Identified protein signatures linked to tumor progression and immune suppression in OSCC.

