HCA Data Explorer

An Atlas of Cells in the Human Tonsil

Access Granted
Updated October 18, 2024

Palatine tonsils are secondary lymphoid organs representing the first line of immunological defense against inhaled or ingested pathogens. Here, we present a comprehensive census of cell types forming the human tonsil by applying single-cell transcriptome, epigenome, proteome and adaptive immune repertoire sequencing as well as spatial transcriptomics, resulting in an atlas of >357,000 cells. We provide a glossary of 121 annotated cell types and states, and disentangle gene regulatory mechanisms that drive cells through specialized lineage trajectories. Exemplarily, we stratify multiple tonsil-resident myeloid slancyte subtypes, establish a distant BCL6 superenhancer as locally active in both follicle-associated T and B cells, and describe SIX5 as a potentially novel transcriptional regulator of plasma cell maturation. Further, our atlas is a reference map to understand alterations observed in disease. Here, we discover immune-phenotype plasticity in tumoral cells and microenvironment shifts of mantle cell lymphomas (MCL). To facilitate such reference-based analysis, we develop HCATonsilData and SLOcatoR, a computational framework that provides programmatic and modular access to our dataset; and allows the straightforward annotation of future single-cell profiles from secondary lymphoid organs.

Ramon Massoni-BadosaCentro Nacional de Análisis Genómico (CNAG)ram4025@med.cornell.edu
José I Martin-SuberoInstitut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS); Universitat de Barcelona; Institució Catalana de Recerca i Estudis Avançats (ICREA)imartins@recerca.clinic.cat
Holger HeynCentro Nacional de Análisis Genómico (CNAG); Universitat Pompeu Fabra (UPF)holger.heyn@cnag.eu

An atlas of cells in the human tonsil (Official HCA Publication)

Ramon Massoni-Badosa1
Sergio Aguilar-Fernández1
Juan C Nieto1
Paula Soler-Vila2
Marc Elosua-Bayes1
Domenica Marchese1
Marta Kulis2
Amaia Vilas-Zornoza3
Marco M Bühler4
Sonal Rashmi1
Clara Alsinet1
Ginevra Caratù1
Catia Moutinho1
Sara Ruiz1
Patricia Lorden1
Giulia Lunazzi1
Dolors Colomer5
Gerard Frigola6
Will Blevins1
Lucia Romero-Rivero2
Víctor Jiménez-Martínez2
Anna Vidal2
Judith Mateos-Jaimez2
Alba Maiques-Diaz2
Sara Ovejero7
Jérôme Moreaux7
Sara Palomino8
David Gomez-Cabrero9
Xabier Agirre3
Marc A Weniger10
Hamish W King11
Lucy C Garner12
Federico Marini13
Francisco J Cervera-Paz14
Peter M Baptista14
Isabel Vilaseca15
Cecilia Rosales2
Silvia Ruiz-Gaspà2
Benjamin Talks16
Keval Sidhpura17
Anna Pascual-Reguant18
Anja E Hauser18
Muzlifah Haniffa19
Felipe Prosper20
Ralf Küppers10
Ivo G Gut21
Elias Campo5
José I Martin-Subero22
Holger Heyn21
1Centro Nacional de Análisis Genómico (CNAG)
2Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS)
3Center for Applied Medical Research (CIMA); University of Navarra; IDISNA; Centro de Investigación Biomédica en Red Cáncer (CIBERONC)
4Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS); University Hospital Zurich; Hospital Clinic Barcelona
5Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS); Centro de Investigación Biomédica en Red Cáncer (CIBERONC); Hospital Clinic Barcelona; Universitat de Barcelona
6Hospital Clinic Barcelona
7CHU Montpellier; Institute of Human Genetics
8Translational Bioinformatics Unit (TransBio); Navarrabiomed; Navarra Health Department (CHN); Public University of Navarra (UPNA); Navarra Institute for Health Research (IdiSNA)
9Translational Bioinformatics Unit (TransBio); Navarrabiomed; Navarra Health Department (CHN); Public University of Navarra (UPNA); Navarra Institute for Health Research (IdiSNA); King Abdullah University of Science and Technology KAUST
10University of Duisburg-Essen
11Walter and Eliza Hall Institute
12University of Oxford
13Institute of Medical Biostatistics, Epidemiology and Informatics (IMBEI); University Medical Center of the Johannes Gutenberg University Mainz; University Medical Center of the Johannes Gutenberg University Mainz
14University of Navarra
15Hospital Clínic Barcelona; IDIBAPS; Universitat de Barcelona
16Biosciences Institute, Newcastle University; Freeman Hospital
17Biosciences Institute, Newcastle University
18Universitätsmedizin Berlin; Deutsches Rheuma-Forschungszentrum (DRFZ)
19Biosciences Institute, Newcastle University; Wellcome Sanger Institute; Newcastle Biomedical Research Centre
20Center for Applied Medical Research (CIMA); University of Navarra; IDISNA; Centro de Investigación Biomédica en Red Cáncer (CIBERONC); Clínica Universidad de Navarra
21Centro Nacional de Análisis Genómico (CNAG); Universitat Pompeu Fabra (UPF)
22Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS); Universitat de Barcelona; Institució Catalana de Recerca i Estudis Avançats (ICREA)
Ida Zucchi

To reference this project, please use the following link:

https://explore.data.humancellatlas.org/projects/0cc58d0b-1734-4e1d-9113-b32e52f75e36

Supplementary links are provided by contributors and represent items such as additional data which can’t be hosted here; code that was used to analyze this data; or tools and visualizations associated with this specific dataset.

1.https://azimuth.hubmapconsortium.org/references/#Human%20-%20Tonsil%20v22.https://bioconductor.org/packages/release/data/experiment/html/HCATonsilData.html3.https://doi.org/10.5281/zenodo.103730414.https://doi.org/10.5281/zenodo.83737565.https://github.com/Single-Cell-Genomics-Group-CNAG-CRG/TonsilAtlas
INSDC Project Accessions:EGA Accessions:Array Express Accessions:INSDC Study Accessions:

Atlas

None

Analysis Portals

None

Project Label

MassoniBadosaHumanTonsil

Species

Homo sapiens

Sample Type

specimens

Anatomical Entity

palatine tonsil

Organ Part

Unspecified

Selected Cell Types

Unspecified

Disease Status (Specimen)

5 disease statuses

Disease Status (Donor)

5 disease statuses

Development Stage

2 development stages

Library Construction Method

7 library construction methods

Nucleic Acid Source

3 nucleic acid sources

Paired End

false, true

Analysis Protocol

citseq_matrix_generation, multiome_matrix_generation, scATAC_matrix_generation, sc_rnaseq_raw_matrix_generation, visium_raw_matrix_generation

File Format

15 file formats

Cell Count Estimate

357.0k

Donor Count

17
bed30 file(s)csv98 file(s)fastq.gz1,073 file(s)h521 file(s)html23 file(s)jpg8 file(s)json8 file(s)mtx13 file(s)mtx.gz78 file(s)ndpi2 file(s)png8 file(s)tsv47 file(s)tsv.gz190 file(s)tsv.gz.tbi34 file(s)xlsx1 file(s)