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Glycopeptide Capture for Cell Surface Proteomics
Published on: May 9, 2014
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A label-free sensitive method for membrane protein detection based on aptamer and AgNCs transfer
Zhenjun Liu1, Wansong Chen1, Yajin Han1
1College of Chemistry and Chemical Engineering, Central South University, Changsha, Hunan 410083, PR China.
Talanta
|August 27, 2017
Summary
This study presents a new method for detecting membrane proteins on living cells using DNA and silver nanoclusters. This approach offers a sensitive and facile way to identify potential cancer biomarkers and drug targets in clinical research.
Area of Science:
- Biochemistry
- Molecular Biology
- Nanotechnology
Background:
- Membrane proteins are crucial in physiological processes and are investigated as cancer biomarkers and drug targets.
- Accurate detection of membrane proteins on living cells is vital for cancer research and clinical applications.
Purpose of the Study:
- To develop a facile, sensitive, and quantitative method for detecting membrane proteins on living cells in situ.
- To validate the method's utility for identifying potential cancer biomarkers.
Main Methods:
- A novel detection strategy based on membrane protein-triggered release of cytosine-rich single-stranded DNA (ssDNA).
- Subsequent silver nanocluster (AgNCs) transfer to ssDNA, forming fluorescent DNA-AgNCs for detection.
- Utilized a common fluorescence spectrophotometer for quantitative analysis.
Main Results:
- Demonstrated a sensitive detection method for membrane proteins with a high quantum yield and stable DNA-AgNCs.
- Successfully detected protein tyrosine kinase-7 (PTK7) with a response range from 30pM to 2nM and a detection limit of 12pM.
- Quantified PTK7 expression on single Hela and CCRF-CEM cells, confirming the method's sensitivity.
Conclusions:
- The developed method provides a universal and ultrasensitive platform for in situ detection of membrane proteins on cells.
- This facile detection strategy holds significant potential for cancer biomarker discovery and clinical validation.

