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

Lymph nodes (LN) are key secondary lymphoid organs (SLO) for a coordinated immune response. They have been extensively characterized by numerous investigative techniques chiefly as single cell suspensions because they are composed of vagile yet crowded hematolymphoid elements, unfriendly to spatial tissue organization-saving techniques. We comprehensively classify in situ all cells of 19 human LN free of pathology with a 78-marker antibody panel, an hyperplexed cyclic staining method, MILAN, and an analytical bioinformatic pipeline, BRAQUE. A total of 77 cell types were classified, encompassing T, B, innate immune and stromal cells. CD4 and CD8 T-cells were classified into 27 unique subsets by leveraging the expression profiles of TCF7, the presence of co-inhibitory receptors and the spatial distribution. CD5 and TCF7 expression defined novel B-cell types. CD27 + mature B-cells occupied previously unrecognized nodal spaces non-overlapping with the cortex and the plasma-cell rich medullary cords. Type 2 conventional dendritic cells were located in nodular paracortical aggregates. Statistically controlled pairwise neighborhood analysis showed sparse cell-cell interactions, known and new neighbors, established and novel LN landscape niches. A high-dimensional proteomic interrogation of the normal human LN provides spatial allocation of known cell types, novel interactions and the landscape organization.

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Publication Details

Journal
PLoS ONE
Published
2026-04-21
DOI
https://doi.org/10.1371/journal.pone.0346693
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
0.00

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article

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

Govind Bhagat, Mario Faretta, Lorenzo Dall’Olio, Luisa Lorenzi et al.
PLoS ONE
Single-cell and spatial transcriptomics
article

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

Govind Bhagat, Mario Faretta, Lorenzo Dall’Olio, Luisa Lorenzi, Maddalena M. Bolognesi, Simone Borghesi, Giorgio Cattoretti, Giulio Eugenio Mandelli, Gastone Castellani, Francesca M Bosisio, Ann M. Haberman
article en

Abstract

Lymph nodes (LN) are key secondary lymphoid organs (SLO) for a coordinated immune response. They have been extensively characterized by numerous investigative techniques chiefly as single cell suspensions because they are composed of vagile yet crowded hematolymphoid elements, unfriendly to spatial tissue organization-saving techniques. We comprehensively classify in situ all cells of 19 human LN free of pathology with a 78-marker antibody panel, an hyperplexed cyclic staining method, MILAN, and an analytical bioinformatic pipeline, BRAQUE. A total of 77 cell types were classified, encompassing T, B, innate immune and stromal cells. CD4 and CD8 T-cells were classified into 27 unique subsets by leveraging the expression profiles of TCF7, the presence of co-inhibitory receptors and the spatial distribution. CD5 and TCF7 expression defined novel B-cell types. CD27 + mature B-cells occupied previously unrecognized nodal spaces non-overlapping with the cortex and the plasma-cell rich medullary cords. Type 2 conventional dendritic cells were located in nodular paracortical aggregates. Statistically controlled pairwise neighborhood analysis showed sparse cell-cell interactions, known and new neighbors, established and novel LN landscape niches. A high-dimensional proteomic interrogation of the normal human LN provides spatial allocation of known cell types, novel interactions and the landscape organization.

PLoS ONEVol. 21(4)
Columbia University Irving Medical Center (US), Yale University (US), Institute of Molecular Bioimaging and Physiology (IT), Azienda Socio Sanitaria Territoriale degli Spedali Civili di Brescia (IT), VIB-KU Leuven Center for Microbiology (BE), Institute for Complex Systems (IT), European Institute of Oncology (IT), University of Milano-Bicocca (IT), University of Brescia (IT), University of Palermo (IT), University of Bologna (IT), KU Leuven (BE)
Fondazione AIRC per la ricerca sul cancro ETS, University of Leeds, Consiglio Nazionale delle Ricerche, Regione Lombardia, Council for Research in the Social Sciences, Columbia University, Horizon 2020 Framework Programme, European Research Council, Universitaire Ziekenhuizen Leuven, KU Leuven
Life in Land
Openalex Percentile: Top 14%
Single-cell and spatial transcriptomics
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