MiRNA expression in classical Hodgkin lymphoma diseased nodes
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE45264 | GEO | 2013/03/19
SECONDARY ACCESSION(S): PRJNA193347
REPOSITORIES: GEO
Similar Datasets
Project description:To determine differential expression of miRNA in classical Hodgkin lymphoma diseased nodes compared to non-malignant lymph nodes, we used agilent microarray release 16 and quantile normalisation using Genespring GX software to quantify and compare miRNA expression.. Total RNA was extracted from 8 non-malignant lymph node and 14 classical Hodgkin lymphoma diseased node (6 mixed cellularity and 8 nodular sclerosing) formalin-fixed paraffin-embedded tissue samples
2013-03-19 | E-GEOD-45264 | biostudies-arrayexpress
Project description:Stat5+/- mice were bred into the C57BL/6 background. Stat5+/- mice were intercrossed and mouse embryonic fibroblasts (MEFs) were isolated from 12.5-13.5-day WT or Stat5-/- fetuses. The retroviral-expression vector carrying a wild-type Stat5A gene based on an MSCV-IRES-GFP backbone (gift from Richard Moriggl, Ludwig-Boltzmann Institute, Vienna, Austria) was infected into Stat5-/- MEFs. FACS was used to select GFP+ cells. After 5 hours starvation in serum free medium with 0.1% of BSA, MEFs were treated with growth hormone for 2 hours. Total cellular RNA from each group of the MEFs was extracted with TRIzol reagent (Invitrogen) according to the manufacturer's instructions. Microarray analyses were performed using Affymetrix Mouse Genome 430 2.0 GeneChips (Affymetrix, Santa Clara, CA) (six groups, biological replicates for each group). Expression values were determined with GeneChip Operating Software (GCOS) v1.1.1 software. RMA signals were summarized using GeneSpring GX 10.0.1 (Agilent) and normalized by quantile normalization. All data analysis was performed with GeneSpring software GX 10.01.
2012-03-14 | GSE33688 | GEO
Project description:GEP on Affymetrix Genechip HTA 2.0 microarrays was performed on ex vivo cell-sorted DP and DN CD8+ T cells from cHD lymph nodes
2018-06-21 | GSE74983 | GEO
Project description:Stat5+/- mice were bred into the C57BL/6 background. Stat5+/- mice were intercrossed and mouse embryonic fibroblasts (MEFs) were isolated from 12.5-13.5-day WT or Stat5-/- fetuses. The retroviral-expression vector carrying a DNA binding domain mutant Stat5A (E437/E438?AA) or tyrosine-phosphorylated Stat5A Y694F mutation based on an MSCV-IRES-GFP backbone (gift from Richard Moriggl, Ludwig-Boltzmann Institute, Vienna, Austria) was infected into Stat5-/- MEFs. FACS was used to select GFP+ cells. After 5 hours starvation in serum free medium with 0.1% of BSA, MEFs were treated with growth hormone for 2 hours. Total cellular RNA from each group of the MEFs was extracted with TRIzol reagent (Invitrogen) according to the manufacturer's instructions. Microarray analyses were performed using Affymetrix Mouse Genome 430 2.0 GeneChips (Affymetrix, Santa Clara, CA) (four groups, biological replicates for each group). Expression values were determined with GeneChip Operating Software (GCOS) v1.1.1 software. RMA signals were summarized using GeneSpring GX 10.0.1 (Agilent) and normalized by quantile normalization. All data analysis was performed with GeneSpring software GX 10.01.
2013-11-12 | GSE33770 | GEO
Project description:In order to determine BCL6 target genes an EBV negative Burkitt's lymphoma cell line, DG75, was stably transfected with a tetracycline transactivator and tight doxycycline responsive expression of GFP was established. The endogenous BCL6 genes of this cell line were disrupted by homologous recombination and a BCL6 cDNA downstream of tetracycline responsive elements (TRE) was inserted to produce Bcl6-/-:tetBCL6-HA cells. Westerns demonstrated doxycycline dependent BCL6 expression.Bcl6-/-:tet. BCL6-HA cells (clone AB7) were either grown without doxycycline (control) or with 1 ug/ml doxycycline for 16, 48 or 96 hours. Total RNA was extracted using RNeasy minipreps (Qiagen) and concentration and quality were checked on the NanoDrop® ND- 1000 spectrophotometer (NanoDrop Technologies, USA) and the RNA Nano 6000 kit (Agilent Technologies) on a 2100 Bioanalyzer (Agilent Technologies). One hundred ng of total RNA was processed with the GeneChip® Eukaryotic Whole Transcript Sense Target Labelling Assay kit (Affymetrix) according to the manufacturer's details. Hybridisation and scanning of GeneChips® was carried out at the CSC/IC Microarray Centre, MRC Clinical Sciences Centre Imperial College London and data analysis by Bioinformatics Support Service, Imperial College London. Briefly, pre- processing of data was performed using GeneSpring GX 10.0.2 software (Agilent Technologies) which applied the "Exon RMA16"¸ algorhithm to the data set. Exon RMA16 performs background correction, quantile normalisation, median polish summarisation and variance stabilisation of 16. In background correction, intensity values of each individual array are corrected for non-specific binding by subtracting the average signal intensity of the area between spots from each probe set. Normalisation is required so multiple chips can be compared to each other. Quantile normalisation adjusts the distribution of probe intensity of each array analysed and so that the distribution of probe intensities for each array in a set of arrays is the same. Probe summarisation refers to the conversion of probe level values (there are approximately 26 probes per gene on each GeneChip®) to a single probe set expression value. Variance stabilisation of 16 refers to the addition of the value 16 to the expression values. By increasing the expression value, the variance of the data set is reduced and the distribution (defined by its mean and its variance) is stabilised.
2014-08-22 | GSE55301 | GEO
Project description:We collected U937 cells after 72 h of LPS treatment or 72 h of co-culture with PANC-1 cells for microarray analysis. The gene microarray data were analyzed using the Agilent Human whole genome oligo 4*44k chip (array kit serial number: US00082833) and Agilent’s gene expression microarray software, including Feature Extraction and GeneSpring GX. Feature Extraction software extracts data from microarray images and provides workflows for analysis. GeneSpring GX offers statistical tools for data analysis and visualization (Welgene Biotech), and the genes of interest were drawn as a heatmap.
2024-06-14 | GSE269815 | GEO
Project description:Human expression microarray analysis of the 11 samples that you submitted. Total RNA from each sample was quantified using the NanoDrop ND-1000 and the RNA integrity was assessed using standard denaturing agarose gel electrophoresis. For microarray analysis, Agilent Array platform was employed. The sample preparation and microarray hybridization were performed according to the manufacturer’s standard protocols. Briefly, total RNA from each sample was amplified and transcribed into fluorescent cRNA with using the manufacturer’s Agilent’s Quick Amp Labeling protocol (version 5.7, Agilent Technologies). The labeled cRNAs were hybridized onto the Whole Human Genome Oligo Microarray (4x44K, Agilent Technologies). After having washed the slides, the arrays were scanned by the Agilent Scanner G2505C. Agilent Feature Extraction software (version 11.0.1.1) was used to analyze acquired array images. Quantile normalization and subsequent data processing were performed using the GeneSpring GX v11.5 software package (Agilent Technologies). After quantile normalization of the raw data, genes that at least 7 out of 11 samples have flags in Detected (“All Targets Value”) were chosen for further data analysis.
2017-03-02 | GSE95563 | GEO
Project description:Comparison of gene expression profiles between CD138+ and CD138- populations from human myeloma cell lines RPMI-8226 and NCI-H929. We used Affymetrix human gene 1.0ST array and analyzed with GeneSpring GX.
2013-07-17 | GSE31305 | GEO
Project description:The cellular microenvironment in classical Hodgkin lymphoma (cHL) is dominated by a mixed infiltrate of inflammatory cells with typically only about 1% Hodgkin and Reed/Sternberg (HRS) tumor cells. T cells are usually the largest population of cells in the cHL microenvironment, encompassing T helper (Th) cells, regulatory T (Treg) cells and cytotoxic T cells. Th and Treg cells presumably provide essential survival signals for HRS cells. Treg cells are also involved in rescuing HRS cells from anti-tumor immune responses. An understanding of the immune evasion strategies of HRS cells is not only highly relevant for a characterization of the pathophysiology of cHL, but also clinically, given the current treatment approaches targeting checkpoint inhibitors. Here, we characterized the cHL-specific CD4+ T cell infiltrate regarding its role in immune evasion. Global gene expression analysis of CD4+ Th and Treg cells isolated from cHL lymph nodes and reactive tonsils revealed that Treg cell signatures were enriched in CD4+ Th cells of cHL. Hence, HRS cells may induce a Treg differentiation in Th cells, which was supported by in vitro studies with Th cells and cHL cell lines. Furthermore, we found indication for immune-suppressive purinergic signaling and a role of the inhibitory receptor-ligand pairs BTLA-HVEM and CD200R-CD200 in promoting immune evasion. Taken together, this study reveals that the immune evasion strategies in cHL are even more complex and multifaceted than previously recognized.
2017-10-09 | GSE102693 | GEO
Project description:Dendritic cells increase expression of pro-inflammatory cytokines and chemokines and undergo metabolic reprogramming upon TLR activation. Mice fed conventional diet (CD) or 60% high-fat diet (HFD) were treated by skin application of imiquimod (IMQ) during 6 days and classical dendritic cells (cDC) were isolated from inguinal lymph nodes (iLN) to reveal inflammatory and metabolic pathways that are sensitive to TLR7/8 activation and a high fatty acid environment. We used microarray to identify pathways in classical dendritic cells from IMQ-treated mice that link inflammation and metabolism in a high fatty acid environment.
2019-06-30 | GSE110963 | GEO