Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA130637 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Gene expression in PBMC from Multiple Sclerosis patients undergoing interferon beta therapy.
| PRJNA95431 | ENA
Project description:Affymetrix GeneChip Human Gene 1.0 ST Array was applied to compare the expression profiles in peripheral blood mononuclear cells(PBMC) between healthy controls and multiple sclerosis patients(MS pt). It suggested that certain genes involved in apoptosis pathway have been changed regulated in PBMC from MS pt. Applying Affymetrix GeneChip Human Gene 1.0 ST Array and the mixed effects model for gene set analysis, we compared gene expression profiles between 8 multiple sclerosis (MS) patients and 4 healthy controls (HC).
2011-03-01 | E-GEOD-23832 | biostudies-arrayexpress
Project description:Affymetrix GeneChip Human Gene 1.0 ST Array was applied to compare the expression profiles in peripheral blood mononuclear cells(PBMC) between healthy controls and multiple sclerosis patients(MS pt). It suggested that certain genes involved in apoptosis pathway have been changed regulated in PBMC from MS pt.
2011-03-01 | GSE23832 | GEO
Project description:Nabiximols treatment in Multiple Sclerosis patients
| PRJNA400187 | ENA
Project description:Functional Inflammatory Profiles Distinguish Myelin-Reactive T Cells from Patients with Multiple Sclerosis
| PRJNA277876 | ENA
Project description:Expression data from multiple sclerosis patients in remission and relapse
| PRJNA178400 | ENA
Project description:Construction of gene expression-based classifiers to predict the different Multiple Sclerosis stages from peripheral blood mononuclear cells (PBMC) transcriptome of MS patients and controls.
2020-09-01 | GSE136411 | GEO
Project description:RNA extracted at 240min. Samples are rRNA depleted. Expression measurement of Homo sapiens genes.
2019-07-31 | GSE114179 | GEO
Project description:Gene expression profiles of PBMC in CRPC patients receiving persornalized peptide vaccination
| PRJNA233966 | ENA
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