Human Inflammatory Skin Disease scRNA-seq
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ABSTRACT:
PROVIDER: EGAS00001005271 | EGA |
REPOSITORIES: EGA
Similar Datasets
Project description:Data Access Committee EGAC00001002309
| EGAC00001002309 | EGA
Project description:This study includes RNAseq data of lesional and autologous non-lesional skin from patients with non-communicable inflammatory skin diseases, including psoriasis, nummular eczema and atopic dermatitis.
2024-06-20 | GSE154200 | GEO
Project description:In this study, we analysed early embryonic skin development (mus musculus; C57BL/6J) at the transcriptional level. Major questions concerned the cell type composition of early embryonic skin, and the emergence of transcriptional heterogeneity among epithelial and stromal precursor cells. Cells were isolated from embryonic dorsal skin and randomly sequenced (scRNA-Seq using 10X Genomics v2) without any cell sorting. Data from three embryonic time points (E12.5, E13.5, and E14.5) was integrated and compared to obtain a better understanding of the dynamics of early skin development.
2023-07-16 | E-MTAB-11920 | biostudies-arrayexpress
Project description:Inflammatory skin diseases, including inflammatory linear verrucous epidermal naevus (ILVEN) and psoriasis, are known to collectively be hyperproliferative. We endeavoured to do a transcriptional comparative study on patient and control keratinocytes to uncover a final druggable common pathway for those disorders.
2023-09-01 | E-MTAB-12925 | biostudies-arrayexpress
Project description:High-throughput single-cell RNA-sequencing (scRNA-seq) methodologies enable characterization of complex biological samples by increasing the number of cells that can be profiled contemporaneously. Nevertheless, these approaches recover less information per cell than low-throughput strategies. To accurately report the expression of key phenotypic features of cells, scRNA-seq platforms are needed that are both high fidelity and high throughput. To address this need, we created Seq-Well S3 ("Second-Strand Synthesis"), a massively parallel scRNA-seq protocol that uses a randomly primed second-strand synthesis to recover complementary DNA (cDNA) molecules that were successfully reverse transcribed but to which a second oligonucleotide handle, necessary for subsequent whole transcriptome amplification, was not appended due to inefficient template switching. Seq-Well S3 increased the efficiency of transcript capture and gene detection compared with that of previous iterations by up to 10- and 5-fold, respectively. We used Seq-Well S3 to chart the transcriptional landscape of five human inflammatory skin diseases, thus providing a resource for the further study of human skin inflammation.
| S-EPMC7562821 | biostudies-literature
Project description:We investigated the landscape of non-communicable inflammatory skin diseases by spatial transcriptomics resulting in a large repository of spatially defined human cutaneous transcriptomes of 31 patients.
2022-11-14 | GSE206391 | GEO
Project description:Transcriptional profiling of Homo sapiens inflammatory skin diseases (whole skin biospies): Psoriasis (Pso), vs Atopic Dermatitis (AD) vs Lichen planus (Li), vs Contact Eczema (KE), vs Healthy control (KO) In recent years, different genes and proteins have been highlighted as potential biomarkers for psoriasis, one of the most common inflammatory skin diseases worldwide. However, most of these markers are not psoriasis-specific but also found in other inflammatory disorders. We performed an unsupervised cluster analysis of gene expression profiles in 150 psoriasis patients and other inflammatory skin diseases (atopic dermatitis, lichen planus, contact eczema, and healthy controls). We identified a cluster of IL-17/TNFα-associated genes specifically expressed in psoriasis, among which IL-36γ was the most outstanding marker. In subsequent immunohistological analyses IL-36γ was confirmed to be expressed in psoriasis lesions only. IL-36γ peripheral blood serum levels were found to be closely associated with disease activity, and they decreased after anti-TNFα-treatment. Furthermore, IL-36γ immunohistochemistry was found to be a helpful marker in the histological differential diagnosis between psoriasis and eczema in diagnostically challenging cases. These features highlight IL-36γ as a valuable biomarker in psoriasis patients, both for diagnostic purposes and measurement of disease activity during the clinical course. Furthermore, IL-36γ might also provide a future drug target, due to its potential amplifier role in TNFα- and IL-17 pathways in psoriatic skin inflammation. In recent years, different genes and proteins have been highlighted as potential biomarkers for psoriasis, one of the most common inflammatory skin diseases worldwide. However, most of these markers are not psoriasis-specific but also found in other inflammatory disorders. We performed an unsupervised cluster analysis of gene expression profiles in 150 psoriasis patients and other inflammatory skin diseases (atopic dermatitis, lichen planus, contact eczema, and healthy controls). We identified a cluster of IL-17/TNFα-associated genes specifically expressed in psoriasis, among which IL-36γ was the most outstanding marker. In subsequent immunohistological analyses IL-36γ was confirmed to be expressed in psoriasis lesions only. IL-36γ peripheral blood serum levels were found to be closely associated with disease activity, and they decreased after anti-TNFα-treatment. Furthermore, IL-36γ immunohistochemistry was found to be a helpful marker in the histological differential diagnosis between psoriasis and eczema in diagnostically challenging cases. These features highlight IL-36γ as a valuable biomarker in psoriasis patients, both for diagnostic purposes and measurement of disease activity during the clinical course. Furthermore, IL-36γ might also provide a future drug target, due to its potential amplifier role in TNFα- and IL-17 pathways in psoriatic skin inflammation.
2014-12-02 | GSE63741 | GEO
Project description:Inflammatory skin diseases are spurred by unchecked immune-epithelial circuits. Although the function of cytokine and chemokine signals in facilitating this crosstalk is well established, the specific metabolic mediators involved and their simultaneous contribution to dysregulation of these two distinct cellular compartments is unclear. Here, we employed scRNA-seq, spatial transcriptomics, and immunofluorescence across multiple disease indications to elucidate a dysfunctional epithelial state marked by Hypoxia Inducible Factor 1 alpha (HIF1⍺). Ex vivo HIF1⍺ blockade of human Psoriasis (PsO) lesions led to a reduction in pathological gene expression via modulation of glucose metabolism. Epidermal-specific loss of HIF1⍺ or its transcriptional target, glucose transporter 1, curtailed both epidermal pathology and the cutaneous immune response in murine PsO. Glycolytic metabolism sustained epithelial hyperproliferation and differentiation, while lactate, its terminal product, was crucial for sustaining Type 17 response. Notably, inhibition of lactate dehydrogenase A or the lactate transporters MCT1/4 selectively attenuated the Type 17 response, underscoring a divergent requirement for glucose and lactate in epithelial and immune cells, respectively. Collectively, these findings identify therapeutically targetable immune-epithelial circuits by unveiling a remarkable coordination of metabolic processed between the epithelial and immune compartments in inflammatory skin disease.
2024-04-01 | GSE237767 | GEO
Project description:Insight into the pathophysiology of inflammatory skin diseases, especially at the proteomic level, is severely hampered by the lack of adequate in situ data. Skin microdialysis samples from patients with atopic dermatitis (AD, n=6), psoriasis vulgaris (PSO, n=7) or prurigo nodularis (PN, n=6), as well as healthy controls (n=7) were subjected to proteomics and multiplex cytokine analysis. Single-cell RNA sequencing of skin biopsy specimens was used to identify the cellular origin of cytokines. Among the top 20 enriched GO annotations, NAD metabolic process, regulation of secretion by cell, and pyruvate metabolic process were elevated in microdialysates from lesional AD skin compared with both nonlesional skin and controls. The top 20 enriched KEGG pathways in these three groups overlapped almost completely. In contrast, nonlesional skin from patients with PSO or PN and control skin showed no overlap with lesional skin in this KEGG pathway analysis. Lesional skin from patients with PSO, but not AD or PN, showed significantly elevated protein levels of IL-22 and MCP-1 compared to nonlesional skin. IL-8 was elevated in lesional vs nonlesional AD and PSO skin, whereas IL-12p40 was higher only in lesional PSO skin. Integrated single-cell RNA-seq data revealed identical cellular sources of these cytokines in AD, PSO and PN. Based on microdialysate, proteomic data of lesional PSO and PN skin, but not lesional AD skin, differed significantly from those of nonlesional skin. IL-8, IL-22, MCP-1 and IL-12p40 might be suitable markers for minimally invasive molecular profiling.
2024-08-22 | PXD050245 | Pride
Project description:Inflammatory skin diseases are spurred by unchecked immune-epithelial circuits. However, the specific metabolic factors involved in crosstalk and their impact on the dysregulation of these two cellular components are not well understood. To better decipher the metabolic factors involved in psoriasis, we employed spatial transcriptomics (ST), a ground-breaking technology that precisely maps gene expression from histologically-intact tissue sections. These findings identify therapeutically targetable metabolic vulnerabilities in inflammatory skin disease by unveiling a remarkable coordination of metabolic processes between the epithelial and immune compartments.
2024-04-01 | GSE237771 | GEO