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

Overview

Authors: Maddalena M Bolognesi1,2, Lorenzo Dall’Olio3, Giulio Eugenio Mandelli4,5, Luisa Lorenzi4,5, Francesca M Bosisio6,7,8, Ann M Haberman9,10, Govind Bhagat11, Simone Borghesi12, Mario Faretta13, Gastone Castellani14, Giorgio Cattoretti15
15 affiliations
  1. Istituto di Bioimmagini e Sistemi Biologici Complessi (IBSBC) – CNR Via F.lli Cervi, Segrate, Italy
  2. NBFC, National Biodiversity Future Center, Palermo, Italy
  3. Laboratorio di Data Science and Bioinformatics, IRCCS Istituto delle Scienze Neurologiche di Bologna – AUSL BO Ospedale Bellaria, Bologna, Italy
  4. Pathology Unit, Department of Molecular and Translational Medicine-DMMT, University of Brescia, Brescia, Italy
  5. Pathology Unit, ASST Spedali Civili Di Brescia, Brescia, Italy
  6. The Leuven Institute for Single-cell Omics (LISCO), KULeuven, Leuven, Belgium
  7. Translational Cell and Tissue Research Unit, Department of imaging and pathology, KULeuven, Leuven, Belgium
  8. Pathology Department, University Hospital of Leuven, Leuven, Belgium
  9. Department of Immunobiology, Yale University, New Haven, Connecticut, United States of America
  10. Department of Laboratory Medicine, Yale University, New Haven, Connecticut, United States of America
  11. Pathology, Columbia University Irving Medical Center and New York Presbyterian Hospital, NewYork, New York, United States of America
  12. Department of Mathematics and Applications, University of Milano Bicocca, Milan, Italy
  13. Department of Experimental Oncology, European Institute of Oncology IRCCS, Milan, Italy
  14. Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Bologna, Italy
  15. Pathology, Department of Medicine and Surgery, Universitá di Milano-Bicocca, Monza, Michigan, Italy
Journal: PloS one, volume 21, issue 4, article e0346693
Dates: received 28 November 2025; accepted 23 March 2026; published online 21 April 2026
Type: Research article · Language: English
License: CC BY
Identifiers: DOI 10.1371/journal.pone.0346693 · PMID 42013192 · PMCID PMC13099103 · OpenAlex W7155090949
Open access: gold, a free copy (OpenAlex)
Status: data only
Categories: genetics / omics (modality), human (organism), cellular / molecular (subfield)
Methods: Spectral & time-frequency, Statistics, Smoothing, state filtering, decompositions
MeSH: Lymph Nodes*, Proteomics*, B-Lymphocytes, Dendritic Cells, Humans (* major topic)
Topic: Single-cell and spatial transcriptomics (Molecular Biology, Biochemistry, Genetics and Molecular Biology), according to OpenAlex
Funding: Fondazione AIRC per la ricerca sul cancro ETS (projects #26216); University of Leeds; European Commission (2014‐2020, 116026, 101017549, CN00000033, POR FESR 2014-2020, Investment 1.4, EU Horizon 2020 programme GenoMed4All project #101017549, FESR 2014-2020, 2014-2020’, CN_00000033); Fonds Wetenschappelijk Onderzoek (EMH-D8972-FKM/20, I005920N); Consiglio Nazionale delle Ricerche; Associazione Italiana per la Ricerca sul Cancro (26216); Regione Lombardia (POR FESR 20142020, 2014–2020, POR FESR 2014, FESR 2014-2020, POR FESR 2014-2020. Call HUB Ricerca ed Innovazione: ImmunHUB); Council for Research in the Social Sciences, Columbia University; European Research Council; Universitaire Ziekenhuizen Leuven, KU Leuven (INTERNE FONDSEN MIDDEL-Zware infrastructuren EMH-D8191-AKUL/19/30 I005920N, FWO Fundamenteel Klinisch Mandaat EMH-D8972-FKM/20)
Citations: cited by 1 paper (Europe PMC); 147 references in the paper
Research resources: Fiji RRID:SCR_002285, RRID:SCR_003070, Adobe Illustrator 28.1 RRID:SCR_010279, Adobe Photoshop 25.3.1 RRID:SCR_014199, were deposited in a NDPIserve RRID:SCR_017105, Italy RRID:SCR_022537, RRID:SCR_024393

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.

Reproduced under the paper's license (CC BY), from the paper cited above.

Code

The paper links to its data, not to its authors' code: see the Data section.

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Data

Datasets cited

Data Availability

This publication is part of the Human Cell Atlas - www.humancellatlas.org/publications Primary data (images .tif files, .csv files) have been deposited at the Human cell Atlas data portal: https://data.humancellatlas.org/. They are available at: https://explore.data.humancellatlas.org/projects/b10cd314-3e71-4437-9a16-77028d243e81 Analysis data have been deposited at UNIMIB Digital Commons repository Bicocca Open Archive Research Data (BOARD): Bolognesi, Maddalena; Dall’Olio, Lorenzo; Borghesi, Simone; Castellani, Gastone; Cattoretti, Giorgio (2024), “The normal Lymph Node. BRAQUE analysis files & Raw Data”, Bicocca Open Archive Research Data, V1, doi: 10.17632/3ntbp3zdzh.1 https://board.unimib.it/datasets/3ntbp3zdzh/1.

Reproduced under the paper's license (CC BY), from the paper cited above.

Versions

The history of this record: each version stored by the harvester or made by a correction of its authors or of the maintainers of its code, and what changed in its facts. The texts of the paper (its abstract, its availability statements) are not part of it; versions that changed only those are not listed.

Version 1, 29 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 11 authors, 5 MeSH terms, 10 funders, 143 references, 7 RRIDs.

Cite

This paper

Bolognesi, M. M., Dall’Olio, L., Mandelli, G. E., Lorenzi, L., Bosisio, F. M., Haberman, A. M., Bhagat, G., Borghesi, S., Faretta, M., Castellani, G., & Cattoretti, G. (2026). The normal human lymph node cell classification and landscape defined by high-dimensional spatial proteomics. PloS one, 21(4), e0346693. https://doi.org/10.1371/journal.pone.0346693

BibTeX

@article{bolognesi2026normal,
author = {Bolognesi, Maddalena M and Dall’Olio, Lorenzo and Mandelli, Giulio Eugenio and Lorenzi, Luisa and Bosisio, Francesca M and Haberman, Ann M and Bhagat, Govind and Borghesi, Simone and Faretta, Mario and Castellani, Gastone and Cattoretti, Giorgio},
title = {{The normal human lymph node cell classification and landscape defined by high-dimensional spatial proteomics}},
journal = {PloS one},
year = {2026},
month = apr,
volume = {21},
number = {4},
pages = {e0346693},
publisher = {PLOS},
issn = {1932-6203},
doi = {10.1371/journal.pone.0346693},
url = {https://doi.org/10.1371/journal.pone.0346693},
pmid = {42013192},
pmcid = {PMC13099103}
}

RIS

TY - JOUR
AU - Bolognesi, Maddalena M
AU - Dall’Olio, Lorenzo
AU - Mandelli, Giulio Eugenio
AU - Lorenzi, Luisa
AU - Bosisio, Francesca M
AU - Haberman, Ann M
AU - Bhagat, Govind
AU - Borghesi, Simone
AU - Faretta, Mario
AU - Castellani, Gastone
AU - Cattoretti, Giorgio
TI - The normal human lymph node cell classification and landscape defined by high-dimensional spatial proteomics
T2 - PloS one
J2 - PLoS One
PY - 2026
DA - 2026/04/21
VL - 21
IS - 4
SP - e0346693
SN - 1932-6203
PB - PLOS
DO - 10.1371/journal.pone.0346693
UR - https://doi.org/10.1371/journal.pone.0346693
LA - en
ER -

CSL-JSON

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