Foundry120 atlas

Single-cell transcriptome analysis of human skin identifies novel fibroblast subpopulation and enrichment of immune subsets in atopic dermatitis

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Dataset overview

Participants 12
Samples 17
Reuse readiness 7.0/10 evidence-backed score

Single-cell transcriptome analysis of human skin identifies novel fibroblast subpopulation and enrichment of immune subsets in atopic dermatitis.

Abstract

<h4>Background</h4>Atopic dermatitis (AD) is a prevalent inflammatory skin disease with a complex pathogenesis involving immune cell and epidermal abnormalities. Despite whole tissue biopsy studies that have advanced the mechanistic understanding of AD, single cell-based molecular alterations are largely unknown.<h4>Objective</h4>Our aims were to construct a detailed, high-resolution atlas of cell populations and assess variability in cell composition and cell-specific gene expression in the skin of patients with AD versus in controls.<h4>Methods</h4>We performed single-cell RNA sequencing on skin biopsy specimens from 5 patients with AD (4 lesional samples and 5 nonlesional samples) and 7 healthy control subjects, using 10× Genomics.<h4>Results</h4>We created transcriptomic profiles for 39,042 AD (lesional and nonlesional) and healthy skin cells. Fibroblasts demonstrated a novel COL6A5<sup>+</sup>COL18A1<sup>+</sup> subpopulation that was unique to lesional AD and expressed CCL2 and CCL19 cytokines. A corresponding LAMP3<sup>+</sup> dendritic cell (DC) population that expressed the CCL19 receptor CCR7 was also unique to AD lesions, illustrating a potential role for fibroblast signaling to immune cells. The lesional AD samples were characterized by expansion of inflammatory DCs (CD1A<sup>+</sup>FCER1A<sup>+</sup>) and tissue-resident memory T cells (CD69<sup>+</sup>CD103<sup>+</sup>). The frequencies of type 2 (IL13<sup>+</sup>)/type 22 (IL22<sup>+</sup>) T cells were higher than those of type 1 (IFNG<sup>+</sup>) in lesional AD, whereas this ratio was slightly diminished in nonlesional AD and further diminished in controls.<h4>Conclusion</h4>AD lesions were characterized by expanded type 2/type 22 T cells and inflammatory DCs, and by a unique inflammatory fibroblast that may interact with immune cells to regulate lymphoid cell organization and type 2 inflammation.

Study facts

Organism
Homo sapiens
Platform
10x Genomics Chromium; Illumina HiSeq 2500
Age group
Disease groups
Anatomical sites
skin

Data availability

  • Processed matrix

File types TXT

Files and samples

Strengths & limitations for reuse

Strengths

  • Raw reads are advertised
  • Processed matrices are advertised
  • Participant counts are documented

Limitations

  • Not documented: raw counts are advertised
  • Not documented: cell metadata are advertised
Extraction evidence & provenance

Each extracted field is shown with the source excerpt and location used to resolve it.

Assay

FieldValueEvidence
assay.assay_type single-cell RNA sequencing
We performed single-cell RNA-sequencing on skin biopsies

Section series_summary, offset —

assay.library_chemistry Chromium Single Cell 3' Reagent Kit V2
The Chromium Single Cell 3' Reagent Kit V2 (10x Genomics) was used to generate single-cell libraries

Section sample_extract_protocol, offset —

assay.platform 10x Genomics Chromium; Illumina HiSeq 2500
Biopsies were cryopreserved and processed by 10x Genomics. The library was sequenced on the Illumina HiSeq 2500 platform.

Section series_overall_design, offset —

assay.reference_genome hg38
Genome_build: hg38

Section sample_data_processing, offset —

assay.sequencing_type scrna_seq
We performed single-cell RNA-sequencing on skin biopsies

Section series_summary, offset —

Cohort

FieldValueEvidence
cohort.non_ibd_controls 7
7 healthy control subjects

Section series_summary, offset —

cohort.total_participants 12
skin biopsies from 5 patients with AD ... and 7 healthy control subjects

Section series_summary, offset —

Data_Assets

FieldValueEvidence
data_assets.open_access True
Public on Mar 24 2020

Section series_status, offset —

data_assets.processed_matrix True
Txt files with count matrices of normalized feature expression measurements

Section sample_data_processing, offset —

data_assets.raw_reads True
GSE147424_RAW.tar

Section filelist.txt, offset —

Processing

FieldValueEvidence
processing.doublet_detection_reported True
cells with fewer than 100 or greater than 5,000 genes were filtered out to eliminate partial cells and doublets

Section sample_data_processing, offset —

processing.normalization_method Scaled by 10,000 and log-transformed
count matrices of normalized feature expression measurements that are scaled by 10,000 and log-transformed

Section sample_data_processing, offset —

processing.quality_control_reported True
Reads with low quality bases were removed

Section sample_data_processing, offset —

Specimens

FieldValueEvidence
specimens.anatomical_sites ['skin']
Lesional/non-lesional skin biopsies

Section series_overall_design, offset —

specimens.inflamed_status_available True
Lesional/non-lesional skin biopsies

Section series_overall_design, offset —

specimens.number_of_cells 39042
We created transcriptomic profiles for 39,042 AD (lesional and non-lesional) and healthy skin cells.

Section series_summary, offset —

specimens.number_of_samples 17
"n_samples": 17

Section geo_record_summary, offset —

specimens.specimen_type biopsy
Lesional/non-lesional skin biopsies were taken from the extremities

Section series_overall_design, offset —