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SILAC Based Proteomic Characterization of Exosomes from HIV-1 Infected Cells
Published on: March 3, 2017
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Evaluating Exosome Protein Content Changes Induced by Virus Activity Using SILAC Labeling and LC-MS/MS
1Key Laboratory of Medical Molecular Virology (MOE/MOH) and Institutes of Biomedical Sciences, Shanghai Medical College, Fudan University, Shanghai, PR China; Microbiology Laboratory, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, PR China.
Methods in Enzymology
|February 1, 2017
Summary
Exosomes, crucial for cell communication, change contents during viral infections. Studying these exosome changes aids understanding host-pathogen interactions and immune responses.
Area of Science:
- Cell Biology
- Virology
- Biochemistry
Background:
- Exosomes are key mediators of intercellular communication, transporting proteins and nucleic acids.
- Changes in exosome content are linked to physiological and pathological processes.
- Viral infections induce specific alterations in exosome composition.
Purpose of the Study:
- To discuss considerations for studying exosome content changes during viral infections.
- To present protocols for identifying protein alterations in virus-infected exosomes.
- To enhance understanding of host-pathogen interactions via exosome analysis.
Main Methods:
- Stable Isotope Labeling by Amino acids in Cell culture (SILAC) for quantitative proteomics.
- Liquid Chromatography-Mass Spectrometry/Mass Spectrometry (LC-MS/MS) for protein identification.
- Analysis of exosome protein content from hepatitis B virus-transfected cells.
Main Results:
- Identified specific protein content changes in exosomes from virus-transfected cells.
- Demonstrated the utility of SILAC and LC-MS/MS for exosome proteomic studies.
- Provided a framework for analyzing virus-induced exosome modifications.
Conclusions:
- Exosome content analysis is vital for understanding viral infection mechanisms.
- Studying exosome changes offers insights into host-virus interactions and immune modulation.
- The presented methods facilitate deeper investigation into virus-host dynamics.
