HCA Data Explorer

Anatomically distinct fibroblast subsets determine skin autoimmune patterns.

Updated March 21, 2024

The skin serves as a physical barrier and an immunological interface that protects the body from the external environment1-3. Aberrant activation of immune cells can induce common skin autoimmune diseases such as vitiligo, which are often characterized by bilateral symmetric lesions in certain anatomic regions of the body4-6. Understanding what orchestrates the activities of cutaneous immune cells at an organ level is necessary for the treatment of autoimmune diseases. Here we identify subsets of dermal fibroblasts that are responsible for driving patterned autoimmune activity, by using a robust mouse model of vitiligo that is based on the activation of endogenous auto-reactive CD8+ T cells that target epidermal melanocytes. Using a combination of single-cell analysis of skin samples from patients with vitiligo, cell-type-specific genetic knockouts and engraftment experiments, we find that among multiple interferon-γ (IFNγ)-responsive cell types in vitiligo-affected skin, dermal fibroblasts are uniquely required to recruit and activate CD8+ cytotoxic T cells through secreted chemokines. Anatomically distinct human dermal fibroblasts exhibit intrinsic differences in the expression of chemokines in response to IFNγ. In mouse models of vitiligo, regional IFNγ-resistant fibroblasts determine the autoimmune pattern of depigmentation in the skin. Our study identifies anatomically distinct fibroblasts with permissive or repressive IFNγ responses as the key determinant of body-level patterns of lesions in vitiligo, and highlights mesenchymal subpopulations as therapeutic targets for treating autoimmune diseases.

Ting ChenNational Institute of Biological Sciences, Beijing, Chinachenting@nibs.ac.cn
Jianmin ChangDepartment of Dermatology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, Chinachangjm0417@126.com
Ting Chen1
Zijian Xu1
Daoming Chen1
Kaiju Jiang1
Huanwei Huang1
Yingxue Du1
Wenbo Wu1
Jiawen Wang1
Jianhua Sui1
Yucheng Hu2
Wenhui Wang3
Long Zhang3
Shuli Li4
Chunying Li4
Yong Yang5
Jianmin Chang6
1National Institute of Biological Sciences, Beijing, China
2Academy for Multidisciplinary Studies, Beijing National Center for Applied Mathematics, Beijing Advanced Innovation Center for Imaging Theory and Technology, Capital Normal University, Beijing, China
3Peking University Third Hospital, Beijing, China
4Department of Dermatology, Xijing Hospital, Xi’an, China
5Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, China
6Department of Dermatology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
None

To reference this project, please use the following link:

https://explore.data.humancellatlas.dev.clevercanary.com/projects/69324a96-a68a-4514-bbb4-f8f3ea4bd0f1

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://ngdc.cncb.ac.cn/omix/release/OMIX691
None

Atlas

None

Analysis Portals

None

Project Label

SkinFibroblastAutoimmuneXu10x

Species

Homo sapiens

Sample Type

specimens

Anatomical Entity

skin of body

Organ Part

9 organ parts

Selected Cell Types

Unspecified

Disease Status (Specimen)

2 disease statuses

Disease Status (Donor)

2 disease statuses

Development Stage

2 development stages

Library Construction Method

10x 3' v2

Nucleic Acid Source

single cell

Paired End

false

Analysis Protocol

analysis_protocol_1, analysis_protocol_2

File Format

3 file formats

Cell Count Estimate

50.0k

Donor Count

14
mtx15 file(s)tsv30 file(s)xlsx1 file(s)