Profiling Allogeneic HLA-specific B-cell Responses Utilizing a 64-plex Single-HLA Reporter Cell Panel

Shengli Song1,2, Emma F King1,2, Ashley M Drabik1,2

  • 1Duke Transplant Center, Duke University School of Medicine, Durham, NC 27710, USA.

Insights

Researchers developed a novel 64-plex reporter system and R package to efficiently identify rare HLA-specific B cells in transplant patients. This breakthrough aids in understanding immune responses and improving transplant outcomes.

Area of Science:

  • Immunology
  • Transplantation Science
  • Computational Biology

Background:

  • Identifying allogeneic HLA-specific B cells is crucial for understanding humoral immunity in transplantation but is hindered by their low frequency.
  • Current methods face technical challenges in efficiently screening these rare cells.

Purpose of the Study:

  • To develop a cost-efficient, high-throughput platform for identifying and characterizing allogeneic HLA-specific B cells in sensitized individuals.
  • To enable detailed analysis of B cell phenotype, function, and B cell receptor (BCR) genetics.

Main Methods:

  • Generation of a 64-plex single-HLA reporter cell (HLA64-RC) panel for multiplexed B cell screening.
  • Development of the companion R package 'HLA64' for automated data analysis and visualization.
  • Integration with a high-throughput BCR discovery workflow for comprehensive B cell characterization.

Main Results:

  • Successful identification of thirteen HLA-specific B cells from sensitized transplant candidates.
  • Characterization of these B cells revealed an IgG+ CD24low phenotype, diverse HLA specificities, and recurrent V-gene usage.
  • Analysis of B cell lineages showed divergent binding patterns within clones despite shared clonal origin.

Conclusions:

  • The developed HLA64-RC platform and HLA64 R package provide a reliable method for identifying and characterizing allogeneic HLA-specific B cells.
  • This approach facilitates deeper understanding of allorecognition, immunodominant epitopes, and immunological risk assessment in transplantation.
  • Broader application promises to improve immunological risk stratification and allograft outcomes.

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