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Plasma membrane-focused proteomics: dramatic changes in surface expression during the maturation of human dendritic
Hiroshi Watarai1, Atsushi Hinohara, Jun Nagafune
1Laboratory for Immune Regulation, RIKEN Research Center for Allergy and Immunology, Yokohama, Japan. hwatarai@rcai.riken.jp
Proteomics
|September 10, 2005
Summary
This study developed a new method to isolate and analyze surface proteins on dendritic cells (DCs). The technique identified numerous proteins, revealing distinct molecular profiles between immature and mature DCs.
Area of Science:
- Immunology
- Proteomics
- Cell Biology
Background:
- Dendritic cells (DCs) exhibit functional differences between immature and mature subsets, reflected in their surface molecule expression.
- Standard proteomic methods struggle to characterize these surface molecules due to hydrophobicity and low abundance.
Purpose of the Study:
- To establish a high-yield method for isolating and analyzing surface proteins from human monocyte-derived dendritic cells (mo-DCs).
- To identify and quantify transmembrane proteins differentially expressed between immature and mature mo-DCs.
Main Methods:
- Cells were coated with antibody-conjugated beads specific to cell-surface molecules.
- Nitrogen cavitation, magnetic separation, and density gradient ultracentrifugation were used for plasmalemma preparation.
- Proteomic analysis was performed on the isolated surface molecules.
Main Results:
- A novel method yielded plasmalemma preparations with surface molecules enriched over 200-fold.
- Identified and quantified 339 human mo-DC transmembrane proteins, including 33 novel molecules.
- 106 proteins were selectively expressed or down-regulated in immature cells, while 191 were selectively expressed or up-regulated in mature cells.
Conclusions:
- The developed method enables effective isolation and proteomic analysis of DC surface molecules.
- Significant differences in transmembrane protein expression exist between immature and mature dendritic cells.
- This provides a foundation for understanding DC subset-specific functions and identifying new biomarkers.