HCA Data Explorer

Single-cell analysis reveals innate lymphoid cell lineage infidelity in atopic dermatitis

Updated November 1, 2023

BackgroundAlthough ample knowledge exists about phenotype and function of cutaneous T lymphocytes, much less is known about the lymphocytic components of the skin's innate immune system.ObjectiveTo better understand the biologic role of cutaneous innate lymphoid cells (ILCs), we investigated their phenotypic and molecular features under physiologic (normal human skin [NHS]) and pathologic (lesional skin of patients with atopic dermatitis [AD]) conditions.MethodsSkin punch biopsies and reduction sheets as well as blood specimens were obtained from either patients with AD or healthy individuals. Cell and/or tissue samples were analyzed by flow cytometry, immunohistochemistry, and single-cell RNA sequencing or subjected to in vitro/ex vivo culture.ResultsNotwithstanding substantial quantitative differences between NHS and AD skin, we found that the vast majority of cutaneous ILCs belong to the CRTH2+ subset and reside in the upper skin layers. Single-cell RNA sequencing of cutaneous ILC-enriched cell samples confirmed the predominance of biologically heterogeneous group 2 ILCs and, for the first time, demonstrated considerable ILC lineage infidelity (coexpression of genes typical of either type 2 [GATA3 and IL13] or type 3/17 [RORC, IL22, and IL26] immunity within individual cells) in lesional AD skin, and to a much lesser extent, in NHS. Similar events were demonstrated in ILCs from skin explant cultures and in vitro expanded ILCs from the peripheral blood.ConclusionThese findings support the concept that instead of being a stable entity with well-defined components, the skin immune system consists of a network of highly flexible cellular players that are capable of adjusting their function to the needs and challenges of the environment.

Natalia AlkonDepartment of Dermatology, Medical University of Vienna, Vienna, Austrianatalia.alkon@meduniwien.ac.at
Natalia Alkon (Experimental Scientist)1
Wolfgang M Bauer2
Thomas Krausgruber3
Issac Goh4
Johannes Griss2
Vy Nguyen2
Baerbel Reininger2
Christine Bangert2
Clement Staud5
Patrick M Brunner2
Christoph Bock6
Muzlifah Haniffa7
Georg Stingl2
1Department of Dermatology, Medical University of Vienna, Vienna, Austria
2Department of Dermatology, Medical University of Vienna, Vienna, Austria.
3Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria.
4Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne, United Kingdom.
5Department of Surgery, Division of Plastic and Reconstructive Surgery, Medical University of Vienna, Vienna, Austria.
6Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria; Center for Medical Statistics, Informatics, and Intelligent Systems, Institute of Artificial Intelligence and Decision Support, Medical University of Vienna, Vienna, Austria.
7Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne, United Kingdom; Department of Dermatology and NIHR Newcastle Biomedical Research Centre, Newcastle Hospitals NHS Foundation Trust, Newcastle upon Tyne, United Kingdom; Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, United Kingdom.
Rachel Schwartz

To reference this project, please use the following link:

https://explore.data.humancellatlas.dev.clevercanary.com/projects/415eb773-cadb-43d1-ab89-7d160d5cfc7d
None
GEO Series Accessions:

Atlas

None

Analysis Portals

None

Project Label

LymphoidInfidelityDermatitis

Species

Homo sapiens

Sample Type

specimens

Anatomical Entity

skin of body

Organ Part

Unspecified

Selected Cell Types

Unspecified

Disease Status (Specimen)

2 disease statuses

Disease Status (Donor)

2 disease statuses

Development Stage

human adult stage

Library Construction Method

2 library construction methods

Nucleic Acid Source

single cell

Paired End

false

Analysis Protocol

analysis_protocol_1

File Format

2 file formats

Cell Count Estimate

17.3k

Donor Count

7
tar1 file(s)xlsx1 file(s)