Novel Strategy for Phenotypic Characterization of Human B Lymphocytes from Precursors to Effector Cells by Flow

Giovanna Clavarino1,2,3, Noémie Delouche1, Claire Vettier4

  • 1Laboratoire d'Immunologie, Département d'Hématologie, Oncogénétique et Immunologie, Pôle de Biologie, Grenoble University Hospital, Grenoble, France.

Plos One
|September 23, 2016
PubMed

Insights

This study presents a flow cytometry method using a 6-antibody backbone and gating strategy for precise human B-cell identification. This approach efficiently characterizes B-cell differentiation stages and marker expression across various sample types.

Area of Science:

  • Immunology
  • Cell Biology
  • Biotechnology

Background:

  • Accurate identification and characterization of human B-cell subsets are vital for research and clinical applications.
  • Existing flow cytometry methods often focus on specific B-cell stages or sample types, limiting comprehensive analysis.
  • A standardized, efficient approach is needed for detailed B-cell phenotyping across the differentiation spectrum.

Purpose of the Study:

  • To develop a robust flow cytometry method for comprehensive identification and phenotypic characterization of human B-cell subsets.
  • To establish an efficient gating strategy for analyzing B-cell differentiation from precursors to plasma cells in a single tube.
  • To enable quantitative analysis of cell surface marker expression across various B-cell subpopulations and sample types.

Main Methods:

  • Utilized a core panel of six antibodies (CD38, CD27, CD10, CD19, CD5, CD45) for B-cell identification.
  • Developed an 8-color antibody combination strategy for detailed phenotypic analysis.
  • Applied the method to diverse human samples including bone marrow, peripheral blood, lymph node, and cord blood.

Main Results:

  • Successfully identified a wide range of B-cell subsets, encompassing the entire differentiation pathway.
  • Quantified antigen expression on identified B-cell subsets, providing detailed insights into marker modulation.
  • Generated informative curves illustrating the expression patterns of seventeen cell surface markers along B-cell differentiation.

Conclusions:

  • The proposed flow cytometry approach offers an efficient and standardized tool for B-cell subset characterization.
  • This method facilitates quantitative analysis of cell surface markers, applicable in routine diagnostics and basic research.
  • The technique provides a comprehensive view of B-cell differentiation and marker expression across multiple human tissues.