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Updated: Jun 24, 2026

Colorectal Cancer Cell Surface Protein Profiling Using an Antibody Microarray and Fluorescence Multiplexing
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Profiling CD antigens on leukaemias with an antibody microarray.

Nicole Barber1, Swetlana Gez, Larissa Belov

  • 1School of Molecular and Microbial Biosciences, University of Sydney, Sydney, NSW 2006, Australia.

FEBS Letters
|March 21, 2009
PubMed
Summary

Cluster of differentiation (CD) antigens are key cell surface markers. DotScan microarrays rapidly profile these CD antigens for classifying leukaemia subtypes and identifying biomarkers in non-hematological diseases.

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Area of Science:

  • Immunology
  • Biotechnology
  • Oncology

Background:

  • Cluster of differentiation (CD) antigens are cell surface molecules identified by specific antibodies.
  • Monoclonal antibodies targeting CD antigens are crucial for flow cytometry and cell-based assays.
  • Characterizing CD antigen expression aids in understanding cell function and disease states.

Purpose of the Study:

  • To introduce and validate the DotScan microarray technology for high-throughput CD antigen profiling.
  • To demonstrate the utility of DotScan for identifying cell surface marker signatures in various diseases.
  • To enable rapid and parallel characterization of CD antigen repertoires.

Main Methods:

  • Development of DotScan microarrays utilizing monoclonal antibodies against CD antigens.

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  • Application of fluorescence multiplexing for sensitive detection of CD antigens.
  • Profiling of CD antigen expression on leukocytes, colorectal cancer cells, and tumor-infiltrating lymphocytes.
  • Main Results:

    • DotScan microarrays allow rapid and parallel characterization of CD antigen expression patterns.
    • Expression profiles can be correlated with distinct subtypes of leukaemia.
    • Biomarker signatures for non-hematological diseases, including cancer, can be defined.
    • Profiling of minor cell subsets, like cancer cells, is achievable.

    Conclusions:

    • DotScan technology offers a powerful tool for comprehensive CD antigen analysis.
    • This method facilitates the discovery of novel biomarkers for disease classification and diagnosis.
    • The technology has broad applications in hematological and non-hematological malignancies.