CD Maps-Dynamic Profiling of CD1-CD100 Surface Expression on Human Leukocyte and Lymphocyte Subsets

Area of Science:

• Immunology
• Cell Biology
• Biotechnology

Background:

• Cluster of Differentiation (CD) molecules are crucial for immune cell function and identification.
• Standardized mapping of CD molecule expression is needed for reproducible research.

Purpose of the Study:

• To map the expression of 110 CD molecules (CD1-CD100) on 47 immune cell subsets.
• To develop an interactive web resource for visualizing and analyzing CD molecule expression data.
• To identify differentially expressed proteins and dynamic marker profiles in immune cell subsets.

Main Methods:

• Utilized an eight-color standardized EuroFlow approach for high-dimensional analysis.
• Quantified CD molecule expression using median antibody binding capacities (ABCs) and percentage of positivity.
• Integrated data into an interactive CD Maps web resource.

Main Results:

• Generated a comprehensive dataset of CD molecule expression across diverse immune cell populations from blood, thymus, and tonsil.
• Identified differential protein expression patterns among granulocyte, monocyte, and dendritic cell subsets.
• Profiled dynamic marker expression during thymocyte differentiation, T-cell maturation, and B-cell subset clustering.

Conclusions:

• The CD Maps resource provides a benchmark for antibody reactivities, enhancing flow cytometry reproducibility.
• Offers a detailed view of the human immune cell surfaceome, aiding understanding of leukocyte biology.
• Facilitates the discovery of novel biomarkers and therapeutic targets for immunological and hematological diseases.