Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA184348 | ENA |
REPOSITORIES: ENA
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Project description:We analyzed the whole-genome mRNA expression profiling of cultured lymphoblastoid cell lines (LCLs) from patients (n=2), carriers (n=2), and unrelated normal controls (n=3), all performed in duplicates using Affymetrix GeneChip Human Exon 1.0 ST arrays, to identify genes and pathways that are significantly dysregulated in affected individuals. Moreover, we have performed global transcriptional profiling in whole blood from patients (n=2) and healthy controls (n=13) using Affymetrix GeneChip Human Genome U133 Plus 2.0 arrays. Global transcriptional profiling of affected individuals and controls revealed significant alterations of genes and pathways in a pattern consistent with previous microarray studies of autism spectrum disorder patients. Genome-wide gene-level expression changes for samples from cultured lymphoblastoid cell lines from patients with global developmental delay and autistic features (n=2), carriers (n=2), and unrelated healthy controls (n=3), all performed in duplicate, using Affymetrix GeneChip® Human Exon 1.0 ST arrays.
2014-08-01 | E-GEOD-29918 | biostudies-arrayexpress
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:We analyzed the whole-genome mRNA expression profiling of cultured lymphoblastoid cell lines (LCLs) from patients (n=2), carriers (n=2), and unrelated normal controls (n=3), all performed in duplicates using Affymetrix GeneChip Human Exon 1.0 ST arrays, to identify genes and pathways that are significantly dysregulated in affected individuals. Moreover, we have performed global transcriptional profiling in whole blood from patients (n=2) and healthy controls (n=13) using Affymetrix GeneChip Human Genome U133 Plus 2.0 arrays. Global transcriptional profiling of affected individuals and controls revealed significant alterations of genes and pathways in a pattern consistent with previous microarray studies of autism spectrum disorder patients.
2014-08-01 | GSE29691 | GEO
Project description:We analyzed the whole-genome mRNA expression profiling of cultured lymphoblastoid cell lines (LCLs) from patients (n=2), carriers (n=2), and unrelated normal controls (n=3), all performed in duplicates using Affymetrix GeneChip Human Exon 1.0 ST arrays, to identify genes and pathways that are significantly dysregulated in affected individuals. Moreover, we have performed global transcriptional profiling in whole blood from patients (n=2) and healthy controls (n=13) using Affymetrix GeneChip Human Genome U133 Plus 2.0 arrays. Global transcriptional profiling of affected individuals and controls revealed significant alterations of genes and pathways in a pattern consistent with previous microarray studies of autism spectrum disorder patients.
2014-08-01 | GSE29918 | GEO
Project description:Gene expression analysis of human lymphoblastoid cell lines
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Project description:We analyzed the whole-genome mRNA expression profiling of cultured lymphoblastoid cell lines (LCLs) from patients (n=2), carriers (n=2), and unrelated normal controls (n=3), all performed in duplicates using Affymetrix GeneChip Human Exon 1.0 ST arrays, to identify genes and pathways that are significantly dysregulated in affected individuals. Moreover, we have performed global transcriptional profiling in whole blood from patients (n=2) and healthy controls (n=13) using Affymetrix GeneChip Human Genome U133 Plus 2.0 arrays. Global transcriptional profiling of affected individuals and controls revealed significant alterations of genes and pathways in a pattern consistent with previous microarray studies of autism spectrum disorder patients. Whole-genome mRNA expression profiles of samples from whole blood from patients with global developmental delay and autistic features (n=2) and healthy controls (n=13) using Affymetrix GeneChip Human Genome U133 Plus 2.0 arrays.
2014-08-01 | E-GEOD-29691 | biostudies-arrayexpress
Project description:Autism spectrum disorders (ASDs) are relatively common neurodevelopmental conditions whose biological basis has been incompletely determined. We analyzed the metabolic profile of lymphoblastoid cell lines from patients with ASDs and normal individuals, using the Biolog Phenotype plates. To validate our metabolic findings, we utilized the Agilent Whole Human Genome Oligo Microarray to evaluate the level of gene expression in the tested cell lines. As a comparison for gene expression profiles in cells of patients with ASDs, we also performed microarray analysis for lymphoblastoid cell lines from patients with intellectual disability (ID). Two independent experiments were performed for each sample. To maximize the contrast between samples, we implemented a loop experimental design.
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Project description:Autism spectrum disorders (ASDs) are relatively common neurodevelopmental conditions whose biological basis has been incompletely determined. We analyzed the metabolic profile of lymphoblastoid cell lines from patients with ASDs and normal individuals, using the Biolog Phenotype plates. To validate our metabolic findings, we utilized the Agilent Whole Human Genome Oligo Microarray to evaluate the level of gene expression in the tested cell lines. As a comparison for gene expression profiles in cells of patients with ASDs, we also performed microarray analysis for lymphoblastoid cell lines from patients with intellectual disability (ID). Two independent experiments were performed for each sample. To maximize the contrast between samples, we implemented a loop experimental design. Loop design for maximal contrast.
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