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Published on: January 7, 2019
Proteomic Analysis of Secreted Proteins from Cell Microenvironment
Subash Adhikari1, Lan Chen1, Peiwu Huang1
1Department of Chemistry, Southern University of Science and Technology, 1088 Xueyuan Rd., Nanshan District, Guangdong, Shenzhen, 518055, People's Republic of China.
This chapter outlines a standard workflow for characterizing secreted proteins using mass spectrometry-based proteomics. It details methods for profiling these proteins to understand cell communication and signaling pathways.
Area of Science:
- Proteomics
- Cell Biology
- Biochemistry
Background:
- Cell microenvironments involve complex intercellular communication via secreted proteins.
- Understanding autocrine and paracrine signaling requires unbiased profiling of these secreted proteins.
- Mass spectrometry-based proteomics is a key technology for global secretome characterization.
Purpose of the Study:
- To present a standard workflow for the characterization of secreted proteins.
- To enable comprehensive analysis of intercellular signaling pathways.
- To provide a guide for researchers utilizing proteomics in cell biology.
Main Methods:
- Harvesting secreted proteins from conditioned cell media.
- Protein digestion protocols for mass spectrometry.
- Liquid chromatography-tandem mass spectrometry (LC-MS/MS) analysis.
- Downstream bioinformatics and data analysis strategies.
Main Results:
- A reproducible workflow for global secreted protein profiling.
- Identification and quantification of key signaling molecules.
- Insights into autocrine and paracrine signaling mechanisms.
Conclusions:
- The described workflow provides a robust approach for secreted protein characterization.
- Mass spectrometry-based proteomics is essential for dissecting cell-cell communication.
- This methodology facilitates a deeper understanding of biological systems through secretome analysis.
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