Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA272505 | ENA |
REPOSITORIES: ENA
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Project description:To investigate gene expression levels between gastric carcinoma patients and healthy subjects, we employed the whole genome expression microarray. Gastric carcinoma patients and healthy subjects
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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.
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Project description:Expression analysis of gene expression changes in Homo sapiens SGC-7901 cells after knock down of MTA2 (Metastasis-associated protein) or overexpression SNHG5 (snoRNA host gene 5) Investigation of whole genome gene expression level changes in a Homo sapiens gastric carcinoma cells SGC-7901 after knock down MTA2 expression and upregulation of SNHG5
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Project description:Aberrant gene expression analysis between peripheral blood mononuclear cell (PBMC) samples from healthy individuals and patients with pancreatic carcinoma, gastric carcinoma and hepatocellular carcinoma (HCC) were identified using Affymetrix gene arrays. Peripheral blood mononuclear cell (PBMC) from healthy individuals, patients with pancreatic carcinoma, gastric carcinoma and HCC were isolated and total RNA was extracted for Affymetrix gene microarray analysis.
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Project description:Gastric Carcinoma is a very serious condition. Tumors are often not detected until late, and 5-year survival rates are 20%. Early diagnosis or prediction of gastric cancer is of outmost importance. Molecularly, those tumours are not well characterized. <br><br> Aim: by use of cDNA microarray to do a three-way comparison of gene expression patterns between tumour (T), flat (non-cancerous) mucosa (N) from stomachs with carcinoma, and normal mucosa in matched controls (K). Our first goal was to look at genes commonly differentially expressed between TvsN and TvsK (both criteria fulfilled) and NvsK. <br><br> Subjects and methods: We analyzed gene expression in tumor and flat mucosa biopsies from seven patients with gastric carcinoma and in age/sex matched samples from healthy individuals. Total RNA was extracted and samples (2 ug total RNA) were labeled for cDNA microarray analysis using Genisphere's 3DNA dendrimer kit. The gene expression patterns for 12759 genes were analyzed.
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Project description:Aberrant gene expression between HCC tumor tissues, histologically normal adjacent liver tissues and peripheral blood mononuclear cell (PBMC) samples from healthy individuals and patients with pancreatic carcinoma, gastric carcinoma and HCC were identified using Affymetrix gene arrays. A 13-member HCC-specific gene signature was identified and validated via custom-designed quantitative multiplexed gene expression analysis using the GenomeLab GeXP Genetic Analysis System (GeXP). Peripheral blood mononuclear cell (PBMC) from healthy individuals, patients with pancreatic carcinoma, gastric carcinoma, and HCC were isolated and total RNA was extracted for Affymetrix gene microarray analysis.
2014-02-24 | E-GEOD-36076 | biostudies-arrayexpress