Atopic Dermatitis RNA-seq cohort
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE224783 | GEO | 2023/02/07
REPOSITORIES: GEO
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Project description:To gain a deeper understanding of the pathophysiology of AD, we conducted a large-scale transcriptomic study of AD with deeply-sequenced RNA-seq samples using long (125b) paired-end reads. By integrating deep sequencing-based skin transcriptome profiling with systems biology analysis, we are able to provide deep characterization for the expression signatures for AD, and by including psoriasis samples in the analysis, we can reveal the distinct molecular features of uninvolved and lesional skin of AD that have not been previously described.
2019-01-18 | GSE121212 | GEO
Project description:To gain a deeper understanding of the atopic dermatitis (AD) skin transcriptome and the effects of systemic treatment with dupilumab and cyclosporine, we conducted a gene expression study of AD using mRNA-Seq data generated from lesional and non-lesional skin biopsies collected from patients included in the TREATgermany registry. We are able to provide deep characterisation of AD skin transcriptomic signatures by using an assortment of bioinformatic approaches such as differential expression, co-expression network and pathway enrichment analysis.
2020-09-01 | GSE157194 | GEO
Project description:Purpose: To deeply understand the clinical as well as pathogenetic differences, we have analyzed the genes involved in the epidermal lipid synthesis, epidermal development process and immune responses in the skin of AD and PSO patients. Materials and Methods: We have compared the transcriptomes of lesional skin (epidermis+dermis) from 2 adults AD patients and 2 PSO patients by high-throughput complementary DNA sequencing (RNA-seq). For the gene expression estimation, Cufflinks v2.1.1 was used that is the gene annotation database of Ensembl release 72.
2021-06-08 | GSE176279 | GEO
Project description:Atopic Dermatitis (AD) is the most common inflammatory skin disease and characterized by a deficient epidermal barrier and cutaneous inflammation. Genetic studies suggest a key role of keratinocytes in AD pathogenesis, but the alterations in the proteome that occur in the entire epidermis have not been defined. Employing a pressure-cycling technology-data-independent acquisition (PCT-DIA) approach, we performed quantitative proteomics of epidermis from healthy volunteers and lesional and non-lesional skin of AD patients. Results were validated by targeted proteomics using parallel reaction monitoring mass spectrometry or by immunofluorescence staining. The identified proteins reflect the strong inflammation in lesional skin and the defect in keratinocyte differentiation and epidermal stratification. Most importantly, they reveal impaired activation of the NRF2-antioxidant pathway and reduced abundance of mitochondrial proteins involved in key metabolic pathways in the epidermis. These results provide insight into the molecular alterations in the epidermis of AD patients and identify novel targets for pharmaceutical intervention.
2022-10-04 | PXD025431 | Pride
Project description:Canine atopic dermatitis (AD) is clinically similar to human AD, implicating it as a useful model of human eosinophilic allergic disease. To identify cutaneous gene transcription changes in relatively early inflammation of canine AD, microarrays were used to monitor transcription in normal skin (n=13) and in acute lesional AD (ALAD) and nearby visibly nonlesional AD (NLAD) skin (n=13) from dogs. Scanning the putative abnormally-transcribed genes, several potentially relevant genes, some abnormally transcribed in both NLAD and ALAD (e.g. IL6, NFAM1, MSRA, and SYK), were observed. Comparison for abnormally-transcribed genes common to two related human diseases, human AD and asthmatic chronic rhinosinusitis with nasal polyps (aCRSwNP), further identified genes or gene sets likely relevant to eosinophilic allergic inflammation. These included 1) genes associated with alternatively-activated monocyte-derived cells, including members of the monocyte chemotactic protein (MCP) gene cluster, 2) members of the IL1 family gene cluster, 3) eosinophil-associated seven transmembrane receptor EMR1 and EMR3 genes, 4) interferon-inducible genes, and 5) keratin genes associated with hair and nail formation. Overall, numerous abnormally-transcribed genes were observed only in canine AD; however, many others are common to related human eosinophilic allergic diseases and represent therapeutic targets testable in dogs with AD. Total RNA from skin biopsy specimens from 13 Healthy (i.e. Normal) dogs were compared to total RNA from acute lesional skin biopsy specimens (i.e. ALAD) and nearby visibly nonlesional skin biopsy specimens (i.e. NLAD) from 13 dogs with atopic dermatitis.
2012-07-11 | E-GEOD-39278 | biostudies-arrayexpress
Project description:Canine atopic dermatitis (AD) is clinically similar to human AD, implicating it as a useful model of human eosinophilic allergic disease. To identify cutaneous gene transcription changes in relatively early inflammation of canine AD, microarrays were used to monitor transcription in normal skin (n=13) and in acute lesional AD (ALAD) and nearby visibly nonlesional AD (NLAD) skin (n=13) from dogs. Scanning the putative abnormally-transcribed genes, several potentially relevant genes, some abnormally transcribed in both NLAD and ALAD (e.g. IL6, NFAM1, MSRA, and SYK), were observed. Comparison for abnormally-transcribed genes common to two related human diseases, human AD and asthmatic chronic rhinosinusitis with nasal polyps (aCRSwNP), further identified genes or gene sets likely relevant to eosinophilic allergic inflammation. These included 1) genes associated with alternatively-activated monocyte-derived cells, including members of the monocyte chemotactic protein (MCP) gene cluster, 2) members of the IL1 family gene cluster, 3) eosinophil-associated seven transmembrane receptor EMR1 and EMR3 genes, 4) interferon-inducible genes, and 5) keratin genes associated with hair and nail formation. Overall, numerous abnormally-transcribed genes were observed only in canine AD; however, many others are common to related human eosinophilic allergic diseases and represent therapeutic targets testable in dogs with AD.
2012-07-12 | GSE39278 | GEO
Project description:Atopic dermatitis (AD) is the most prevalent chronic inflammatory skin disease in children characterized by dermatitis and pruritus. MicroRNAs (miRNAs) have been shown as great potential biomarkers for disease fingerprints to predict prognostics. We aimed to identify miRNA signature from serum and urine for the prognosis of AD patient by genome-wide miRNA profiling analysis. Serum from 8 children with AD and 8 healthy children were collected
2014-10-17 | E-GEOD-62404 | biostudies-arrayexpress
Project description:Atopic dermatitis (AD) is the most prevalent chronic inflammatory skin disease in children characterized by dermatitis and pruritus. MicroRNAs (miRNAs) have been shown as great potential biomarkers for disease fingerprints to predict prognostics. We aimed to identify miRNA signature from serum and urine for the prognosis of AD patient by genome-wide miRNA profiling analysis. Urine from 3 children with AD and 3 healthy children were collected
2014-10-17 | E-GEOD-62403 | biostudies-arrayexpress
Project description:Background: DOCK8 deficiency is an autosomal recessive form of hyperimmunoglobulinemia E syndrome (HIES). Severe atopic dermatitis (AD) shares with DOCK8 deficiency some clinical symptoms, including eczema, eosinophilia, and increased serum IgE levels. The deficiency of DOCK8 protein is potentially a life-threatening autosomal recessive HIES and only curable with bone marrow transplantation. Despite identified metabolomics and cytokine biomarkers, novel proteomics biomarkers need to be identified, as the connecting networks are critical to our understanding of this disease. Hence we performed serum proteomics profiling using LC-MSE SynaptG2. Method: Label-free untargeted proteomics analysis was used to identify potentially reliable, sensitive, and specific protein biomarkers in serum collected from DOCK8 (n=10), AD (n=9) patients, which were compared to ctrls (n=5). Results: From a total of 275 quantifiable proteins, binary comparisons between AD vs. Ctrl, DOCK8 vs. Ctrl, and DOCK8 vs. AD revealed 109, 105 and 85 dysregulated proteins, respectively. 24 among 85 proteins were specific potential biomarkers among the DOCK8 and AD groups. The sensitivity and specificity of few proteins like Claspin, Immunoglobulin kappa and heavy, complement components as potential biomarkers to distinguish between DOCK8 and AD patients were evaluated using the receiver operating characteristic curve. DOCK8 deficiency and AD groups' profiling revealed a shared role of ERK1/2 among the commonly dysregulated proteins. Conclusion: In this study, we have identified potential proteomics biomarkers and profile to distinguish between DOCK8 and AD, with possible diagnostic and therapeutic applications to help create effective interventions for managing these diseases. Further studies to confirm these associations in prospective cohorts are warranted.
2022-05-17 | PXD029052 | Pride
Project description:Atopic dermatitis (AD) is a common inflammatory skin disease with underlying defects in epidermal function and immune responses. The goal of this study was to investigate differences in gene expression in lesional skin from patients with mild extrinsic or intrinsic AD compared to skin from healthy controls and from lesional psoriasis skin. The aim was to identify differentially expressed genes involved in skin barrier formation and inflammation, and to compare our results with those reported for patients with moderate and severe AD. A total of 31 samples were analyzed: 8 healthy skin, 9 psoriatic plaques, 4 extrinsic AD lesional skin, 10 intrinsic AD lesional skin.
2016-03-08 | E-GEOD-75890 | biostudies-arrayexpress