E-GEOD-36842
Ontology highlight
ABSTRACT:
OTHER RELATED OMICS DATASETS IN: PRJNA157271
PROVIDER: E-GEOD-36842 | ExpressionAtlas | 2025-01-24
REPOSITORIES: ExpressionAtlas
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| E-GEOD-36842-analysis-methods.tsv | Tabular | |||
| E-GEOD-36842-atlasExperimentSummary.Rdata | Rdata | |||
| E-GEOD-36842-configuration.xml | Xml | |||
| E-GEOD-36842-percentile-ranks.tsv | Tabular | |||
| E-GEOD-36842.condensed-sdrf.tsv | Tabular |
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Project description:In this study we used genomic profiling to characterize differences in expression of genes related to epidermal growth/differentiation and inflammatory circuits in skin lesions of psoriasis and atopic dermatitis (AD), comparing expression values to normal skin. Skin biopsies were collected from 9 patients with chronic atopic dermatitis, 15 psoriasis patients, and 9 healthy volunteers. Keywords: Genetic-pathology Psoriasis and AD are common inflammatory skin diseases which share important features, including: 1) large infiltrates of T-cells and inflammatory dendritic cells in skin lesions, 2) immune activation with up-regulated expression of many cytokines, chemokines, and inflammatory molecules 3) marked epidermal hyperplasia in chronic diseased skin and 4) defective barrier function with increased transepidermal water loss (TEWL), which reflects underlying alterations in keratinocyte differentiation. Using genomic profiling we provide a comprehensive comparison of chronic psoriasis and AD skin lesions as compared with normal skin.
2009-10-31 | E-GEOD-16161 | biostudies-arrayexpress
Project description:In this study we used genomic profiling to characterize differences in expression of genes related to epidermal growth/differentiation and inflammatory circuits in skin lesions of psoriasis and atopic dermatitis (AD), comparing expression values to normal skin. Skin biopsies were collected from 9 patients with chronic atopic dermatitis, 15 psoriasis patients, and 9 healthy volunteers. Keywords: Genetic-pathology
2009-11-01 | GSE16161 | GEO
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:Periostin is a matricellular protein known to be alternatively spliced to produce isoforms with a molecular weight of 78-91 kDa. In the extracellular matrix, periostin attach to cell surfaces and induce signaling via integrin-binding and participates in fibrillogenesis to organize collagen in the extracellular space. In the atopic diseases atopic dermatitis and asthma, periostin is known to participate in driving the disease-causing type 2 inflammation. The periostin isoforms expressed in these diseases and the implication of the alternative splicing events are unknown. Here we present two universal assays to map the expression of periostin isoforms on both the transcriptional (RT-qPCR) and translational (PRM-based mass spectrometry) level. We use these assays to study the splice profile of periostin in atopic dermatitis lesions from patients in active treatment vs. normal skin and in in vitro models of atopic dermatitis and asthma. All isoforms expect isoform 3 show decreased expression at the transcriptional level in AD lesions from patients treated with corticosteroids compared to normal skin. The isoforms display an elevated amount at the translational level indicating a delayed response in periostin level during treatment. Expression of the isoforms were upregulated in the in vitro models of atopic dermatitis and asthma at both the transcriptional and translational level with isoform 3 and 5 displaying the highest level of overexpression. Interestingly, the often overlooked isoform 9 and 10 behaved opposite to the other isoforms as they were equally or even less abundant in the disease models compared to the control, and they were identified in the normal skin samples but not in atopic dermatitis lesions. With the assays and findings presented in the publication connected to this dataset we can take further steps in mapping and understanding the role of periostin isoforms.
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2021-07-14 | GSE117338 | GEO
Project description:Recently, it was shown that lesional skin of atopic dermatitis patients expresses low levels of some antimicrobial peptides, compared with psoriasis patients. Here we performed microarray analysis on mRNA from purified lesional epidermal cells of patients with chronic plaque psoriasis and chronic atopic dermatitis, to investigate whether this is a general phenomenon for host defense proteins, and how specific it is for this class of molecules. We found overexpression of many antimicrobial genes in keratinocytes from psoriatic skin compared with atopic dermatitis skin. Interestingly, we observed that markers of normal differentiation and the activated/hyperproliferative epidermal phenotype were expressed at equal levels. Chronic lesions of psoriasis and atopic dermatitis patients are remarkably similar with respect to cellular proliferation. We conclude that psoriatic epidermis expresses high levels of host defense proteins compared with atopic dermatitis epidermis, and this phenomenon appears to be specific for these proteins. It remains to be investigated whether this is caused by genetic polymorphisms in pathways leading to an epidermal antimicrobial response, or by differences in the cellular infiltrate in psoriasis compared with atopic dermatitis. In general the microarray technique is used to probe a (very large) number of genes for say the deseased and the healthy state.Then gene ontology is used to detect the involved pathways.We did not set out to find a comprehensive list of genes involved in these skin deseases.We do suspect that the "path way" approach might be a bit anthropomorphic.Here we offered a different approach.We set out to investigate the evolutionary fitness changes from one local maximum , Psoriasis , to another , Atopie. Our hypothesis is that Psoriasis is at one extreme in the reaction of the evolution to invading micro organisms and Atopie at an other.So the vast chemical web called human being with numorous feedback and feed forward signals would then be tilted a bit in multidimensional Gene Space and the microarray technique would show us a glimpse of the involved genes. Keywords: Disease state analysis
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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