Histocompatibility typing by cellular radioimmunoassay

B M Longenecker1, B Singh, M Gallatin

  • 1Department of Immunology, The University of Alberta, 845E Medical Sciences Building, T6G 2H7, Edmonton, Alberta, Canada.

Immunogenetics
|February 9, 2011
PubMed

Insights

A new quantitative cellular radioimmunoassay (CRIA) offers highly sensitive histocompatibility typing. This method accurately detects minor cell populations and erythrocyte chimerism in chickens.

Area of Science:

  • Immunology
  • Cell Biology
  • Biochemistry

Background:

  • Histocompatibility typing is crucial for transplantation and genetic studies.
  • Conventional methods like hemagglutination assays lack sensitivity and objectivity.
  • There is a need for more sensitive and precise assays to detect minor cell populations and chimerism.

Purpose of the Study:

  • To describe a novel quantitative cellular radioimmunoassay (CRIA) for histocompatibility typing.
  • To evaluate the sensitivity and consistency of the CRIA assay.
  • To demonstrate the utility of CRIA in detecting erythrocyte chimerism and tumor-specific antigens.

Main Methods:

  • Chicken red blood cells (RBC) were incubated with specific anti-MHC (B) alloantisera in microtiter plates.
  • Bound alloantibody was measured indirectly using (125)I-labeled rabbit anti-chicken IgG.
  • CRIA was applied to artificial cell mixtures, induced erythrocyte chimerism in chickens, and a T-cell lymphoma model.

Main Results:

  • The CRIA assay demonstrated high sensitivity, detecting as little as 1% of relevant cells in mixtures.
  • Erythrocyte chimerism in chickens was precisely quantitated, with percentages ranging from 13-40% in chimeric animals.
  • The assay successfully detected tumor-specific antigens and revealed unexpected binding patterns of anti-B(15) alloantibody.

Conclusions:

  • CRIA is a highly sensitive, objective, and consistent method for histocompatibility typing.
  • The assay is effective for quantitating erythrocyte chimerism and detecting minor cell subpopulations.
  • CRIA has potential applications in tumor immunology and understanding alloantigen expression.

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