The normal human lymph node cell classification and landscape defined by high-dimensional spatial proteomics

Maddalena M Bolognesi1,2, Lorenzo Dall'Olio3, Giulio Eugenio Mandelli4,5

  • 1Istituto di Bioimmagini e Sistemi Biologici Complessi (IBSBC) - CNR Via F.lli Cervi, Segrate, Italy.

Plos One
|April 21, 2026
PubMed

Insights

This study comprehensively maps all cells within human lymph nodes (LN) using advanced techniques, revealing 77 distinct cell types and novel spatial organization critical for immune responses.

Area of Science:

  • Immunology
  • Cell Biology
  • Proteomics

Background:

  • Lymph nodes (LN) are crucial secondary lymphoid organs (SLO) for immune responses.
  • Traditional methods often disrupt LN spatial organization, limiting in situ analysis.
  • A comprehensive spatial atlas of normal human LN cell types is needed.

Purpose of the Study:

  • To spatially map and classify all cell types within normal human lymph nodes in situ.
  • To identify novel cell subsets, interactions, and spatial niches within the LN microenvironment.
  • To provide a high-dimensional proteomic dataset for understanding LN organization.

Main Methods:

  • Utilized a 78-marker antibody panel with hyperplexed cyclic staining (MILAN) for in situ cell classification.
  • Employed an analytical bioinformatics pipeline (BRAQUE) for data analysis.
  • Analyzed 19 human lymph nodes free of pathology.

Main Results:

  • Classified 77 distinct cell types, including T cells, B cells, innate immune cells, and stromal cells.
  • Identified 27 unique T-cell subsets and novel B-cell types based on TCF7 and CD5 expression.
  • Revealed previously unrecognized spatial distribution of mature B cells and type 2 conventional dendritic cells.
  • Discovered novel cell-cell interactions and LN landscape niches through neighborhood analysis.

Conclusions:

  • This high-dimensional proteomic interrogation provides an unprecedented spatial map of the normal human lymph node.
  • The findings reveal novel cell types, interactions, and spatial organization critical for immune function.
  • This resource facilitates deeper understanding of LN immunity and potential therapeutic targets.