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Status |
Public on Apr 10, 2024 |
Title |
Profibrotic subsets of SPP1+ macrophages and POSTN+ fibroblasts contribute to fibrotic scarring in acne keloidalis |
Organism |
Homo sapiens |
Experiment type |
Expression profiling by high throughput sequencing Other
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Summary |
Acne keloidalis (AK) is a primary scarring alopecia characterized by longstanding inflammation in the scalp leading to keloid-like scar formation and hair loss. Histologically, AK is characterized by mixed leukocytic infiltrates in the acute stage followed by a granulomatous reaction and extensive fibrosis in later stages. To further explore its pathogenesis, bulk RNA-sequencing and single-cell RNA sequencing were applied to scalp biopsy specimens of lesional and adjacent non-lesional skin in patients with clinically active disease. Unbiased clustering revealed 18 distinct cell populations, including two notable populations, POSTN+ fibroblasts with enriched extracellular matrix signatures, and SPP1+ myeloid cells M2 macrophages. Cell communication analyses indicate that fibroblasts and myeloid cells communicate by collagen and SPP1 signaling networks in lesional skin. Tissue immunofluorescence staining demonstrated SPP1+ myeloid cells and POSTN+ fibroblasts at the upper segment of outer root sheath of the hair follicle in the subacute stage, confirming micro-anatomic specificity with relevant disease activity. Therapy with intralesional corticosteroids reduced SPP1 and POSTN expression, and lessened AK progression. In summary, the communication between POSTN+ fibroblasts and SPP1+ myeloid cells by collagen and SPP1 axis may contribute to the pathogenesis of AK.
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Overall design |
We conducted droplet-based scRNA-seq (10X Genomics, California, USA) on paired 6 mm punch biopsies of AK lesional skin (n = 1) and adjacent healthy non-lesional skin (n = 1) from an individual patient Please note that raw data are not available due to patient privacy concerns.
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Contributor(s) |
Hong Y, Hsu C |
Citation(s) |
38218364 |
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Submission date |
Jun 23, 2022 |
Last update date |
Apr 11, 2024 |
Contact name |
Yi-Kai Hong |
E-mail(s) |
jack810325@gmail.com
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Phone |
0623535355542
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Organization name |
National Cheng Kung University
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Street address |
No.1, Daxue Rd., East Dist.
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City |
Tainan City |
State/province |
Please select an option below |
ZIP/Postal code |
70101 |
Country |
Taiwan |
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Platforms (1) |
GPL24676 |
Illumina NovaSeq 6000 (Homo sapiens) |
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Samples (4)
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Relations |
BioProject |
PRJNA852200 |
Supplementary file |
Size |
Download |
File type/resource |
GSE206790_RAW.tar |
157.3 Mb |
(http)(custom) |
TAR (of TAR) |
GSE206790_processed_data_file_RNA-seq.csv.gz |
795.9 Kb |
(ftp)(http) |
CSV |
Raw data not provided for this record |
Processed data provided as supplementary file |
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