Multimodal DNA Nanostructure Barcodes for Single-Cell Protein Profiling and Tumor Subtyping

Area of Science:

• Biotechnology
• Molecular Biology
• Precision Medicine

Background:

• Accurate molecular classification of diseases is crucial for precision medicine.
• Single-cell protein analysis with coding technology shows promise for molecular classifiers.
• Low cell abundance and technical challenges hinder multiprotein profiling.

Purpose of the Study:

• To develop a DNA nanostructure-based strategy for multiprotein analysis at the single-cell level.
• To overcome limitations in current methods for disease classification.
• To enable precise molecular subtyping of diseases like breast cancer.

Main Methods:

• Utilized a DNA nanostructure-based multicomponent coding strategy.
• Precisely controlled stoichiometry, orientation, and modularity of magnetized and fluorescent tags.
• Integrated single-cell trapping techniques for phenotypic encoding and cell separation.

Main Results:

• Achieved simultaneous magnetic separation of heterogeneous cell populations.
• Enabled multicolor fluorescence-based phenotypic encoding for multiprotein analysis.
• Demonstrated accurate molecular subtyping of breast cancer using fluorescence-encoded features.

Conclusions:

• The developed strategy enables robust single-cell multiprotein analysis.
• This approach facilitates precise molecular subtyping and advances precision medicine.
• Expands applications in cell sorting, proteomic, and genomic analyses.