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

Tomas Kalina1,2, Karel Fišer1, Martin Pérez-Andrés3,4

  • 1CLIP - Childhood Leukaemia Investigation Prague, Department of Paediatric Haematology and Oncology, Charles University, Prague, Czechia.

Frontiers in Immunology
|November 12, 2019
PubMed

Insights

The CD Maps study comprehensively mapped 110 CD molecules across 47 human immune cell subsets, creating an interactive resource to advance leukocyte biology and biomarker discovery.

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.

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