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Related Experiment Video

Updated: Oct 7, 2025

Single-cell Analysis of Immunophenotype and Cytokine Production in Peripheral Whole Blood via Mass Cytometry
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Quantitative Cell Subset Analysis Using Antibody Microarrays.

Tomoko Ogasawara1,2, Rei Kuwabara1, Katsuyuki Kozai2

  • 1Department of Biomaterials, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima 734-8553, Japan.

ACS Applied Bio Materials
|January 10, 2022
PubMed
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This study introduces a novel antibody microarray method for high-throughput cell surface antigen analysis. The technique accurately quantifies cell subsets, overcoming limitations of traditional flow cytometry.

Area of Science:

  • Immunology
  • Biotechnology
  • Cell Biology

Background:

  • Surface antigen expression patterns are crucial for understanding mammalian cell differentiation and function.
  • Antibody microarrays offer high-throughput analysis of surface antigens, surpassing conventional flow cytometry (FCM) in some aspects.
  • A key limitation of current microarray methods is the inability to analyze concurrent expression of multiple antigens on single cells, hindering cell subset identification.

Purpose of the Study:

  • To develop an enhanced antibody microarray technique capable of quantitative cell subset analysis based on multiple surface antigen expression.
  • To overcome the limitations of conventional antibody microarrays in analyzing concurrent antigen expression and enabling cell subset identification.
  • To validate a novel microarray approach for accurate cell subset quantification using distinct cell populations.
Keywords:
Venn diagramalgebra of setsantibodyflow cytometryhigh-throughput analysissubsetsurface antigensurface marker

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Last Updated: Oct 7, 2025

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Main Methods:

  • Development of antibody microarrays featuring co-immobilized multiple antibodies alongside single antibody spots.
  • Incorporation of set algebra principles for deriving quantitative data on cell subsets.
  • Validation using model cell populations (THP-1, HL-60, CCRF-CEM, Ramos) with known single phenotypes (e.g., CD13+CD49f+) analyzed via FCM.
  • Preparation of mixed cell populations at various ratios for microarray analysis.

Main Results:

  • The developed antibody microarray successfully performed cell-binding assays with validated accuracy.
  • Quantitative subset analysis using anti-CD13 and anti-CD49f antibodies demonstrated good agreement between experimentally determined and predetermined abundance ratios of cell subsets.
  • The results provide proof of principle for the new microarray method in precise cell subset quantification.

Conclusions:

  • The novel antibody microarray approach enables accurate, high-throughput quantitative analysis of cell subsets based on surface antigen expression.
  • This method overcomes the limitations of traditional flow cytometry and existing microarray techniques for complex cell population analysis.
  • The validated technique holds significant potential for advancing research in cell differentiation, immunology, and diagnostics.