Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA133705 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:MicroRNA expression levels in the lymphoblastic cells of prostate cancer patients and their healthy brothers from HPCX1 linked prostate cancer families were analyzed to trace variants that might alter miRNA expression and explain partly an inherited genetic predisposion to prostate cancer.
2011-12-31 | GSE24201 | GEO
Project description:MicroRNA expression levels in the lymphoblastic cells of prostate cancer patients and their healthy brothers from HPCX1 linked prostate cancer families were analyzed to trace variants that might alter miRNA expression and explain partly an inherited genetic predisposion to prostate cancer. MicroRNA expression levels in lymphoblastoid cell lines were detected using an Agilent Human miRNA V2 Oligo Microarray Kit (Agilent Technologies).100 ng of total RNA was used as a starting material, and miRNAs were labeled using the Agilent miRNA Labeling Kit. Labeled RNA was hybridized to Agilent miRNA arrays with eight identical arrays per slide, with each array containing probes directed against 723 human and 76 human viral miRNAs. Slides were scanned (Agilent microarray scanner) after hybridization and data was extracted using Feature Extraction software, version 9.5.1. (Agilent Technologies). Altogether 14 cancer patients and 15 healthy brothers from 11 families were included with no replicates.
2011-12-31 | E-GEOD-24201 | biostudies-arrayexpress
Project description:In this study, nonsense-mediated mRNA decay (NMD) inhibition was used for the discovery of truncating mutations. Six prostate cancer (PRCA) patients and their healthy brothers were selected from a group of HPCX1-linked families. mRNA was isolated from their lymphoblastic cells after pharmacological treatment. Expression analyses were done using Agilent 44K oligoarrays, and selected genes were screened for mutations by sequencing.
2011-12-31 | GSE24204 | GEO
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:Gene expression profiling of immortalized human mesenchymal stem cells with hTERT/E6/E7 transfected MSCs. hTERT may change gene expression in MSCs. Goal was to determine the gene expressions of immortalized MSCs.
2010-09-25 | GSE24338 | GEO
Project description:We have sequenced miRNA libraries from human embryonic, neural and foetal mesenchymal stem cells. We report that the majority of miRNA genes encode mature isomers that vary in size by one or more bases at the 3’ and/or 5’ end of the miRNA. Northern blotting for individual miRNAs showed that the proportions of isomiRs expressed by a single miRNA gene often differ between cell and tissue types. IsomiRs were readily co-immunoprecipitated with Argonaute proteins in vivo and were active in luciferase assays, indicating that they are functional. Bioinformatics analysis predicts substantial differences in targeting between miRNAs with minor 5’ differences and in support of this we report that a 5’ isomiR-9-1 gained the ability to inhibit the expression of DNMT3B and NCAM2 but lost the ability to inhibit CDH1 in vitro. This result was confirmed by the use of isomiR-specific sponges. Our analysis of the miRGator database indicates that a small percentage of human miRNA genes express isomiRs as the dominant transcript in certain cell types and analysis of miRBase shows that 5’ isomiRs have replaced canonical miRNAs many times during evolution. This strongly indicates that isomiRs are of functional importance and have contributed to the evolution of miRNA genes
2014-08-06 | GSE58734 | GEO
Project description:Transcriptional profiling of human mesenchymal stem cells comparing normoxic MSCs cells with hypoxic MSCs cells. Hypoxia may inhibit senescence of MSCs during expansion. Goal was to determine the effects of hypoxia on global MSCs gene expression.
2011-02-19 | GSE20463 | GEO
Project description:Age-Related Gene Expression Changes in Prostate Cancer Patients [miRNA-Seq]
| PRJNA350734 | ENA
Project description:In this study, nonsense-mediated mRNA decay (NMD) inhibition was used for the discovery of truncating mutations. Six prostate cancer (PRCA) patients and their healthy brothers were selected from a group of HPCX1-linked families. mRNA was isolated from their lymphoblastic cells after pharmacological treatment. Expression analyses were done using Agilent 44K oligoarrays, and selected genes were screened for mutations by sequencing. In order to identify genes containing inactivating mutations in the Xq27-q28 region, an NMD microarray analysis with Agilent 44K Whole Human Genome oligonucleotide microarrays was performed in the families showing the strongest linkage to HPCX1. Five families were chosen with 6 affected and 6 healthy controls. Lymphoblastoid cell lines were derived from whole blood and treated with emetine to block NMD pathway. Total RNA was extracted from harvested cells (treated and untreated) and labeled with Cy5 and Cy3. Labeled samples were hybridized to the Agilent 44K Whole Human Genome Oligonucleotide Microarrays. After hybridization microarrays were scanned and data was extracted using Feature Extraction software. The candidate genes (n=17) for subsequent sequence analysis were selected according to the microarray analysis.
2011-12-31 | E-GEOD-24204 | biostudies-arrayexpress