Similar Datasets
Project description:Total mRNA expression of CXCL12-treated monocytes was compared with control untreated monocytes Human Peripheral blood monocytes from three different healthy donors were isolated by anti-CD14-labeled magnetic microbeads. CD14+ monocytes were cultured in teflon dishes for 1h in RPMI 10% FCS and then, were treated or not with CXCL12 for 6h. Total RNA from each condition was extracted and purified using the RNasey kit (Qiagen). Labelled RNA was used as hybridization probes on human Codelink Whole genome Bioarray. All experimental procedures were performed following manufacturer instructions. Microarrays were scanned with a GenePix 4000B (Axon Instruments) scanner. Scanned images and raw data were processed using the Codelink Expression Software.
2011-01-13 | E-GEOD-24496 | biostudies-arrayexpress
Project description:Human peripheral monocytes have been categorized into three subsets based on differential expression levels of CD14 and CD16. However, the factors that influence the distribution of monocyte subsets and the roles which each subset plays in autoimmunity are not well studied. To compare the gene expression profiling 1) on intermediate monocytes CD14++CD16+ monocytes between healthy donors and autoimmune uveitis patients and 2) among 3 monocyte subsets in health donors, here we purified circulating intermediate CD14++CD16+ monocytes from 5 patients with autoimmune uveitis (labeled as P1-5) and 4 healthy donors (labeled as HD1-4) by flow cytometry and isolated total RNA to proceed microarray assay. In addition, we also purified CD14+CD16++ (non-classical monocytes) and CD14++CD16- (classical monocytes) from 4 healthy donors to do microarray. We demonstrate that CD14++CD16+ monocytes from patients and healthy control donors share a similar gene expression profile. The CD14+CD16++ cells (non-classical monocytes) display the most distinctive gene expression profiling when compared to intermediate CD14++CD16+ monocytes and classical CD14++CD16- monocytes.
2015-03-17 | GSE66936 | GEO
Project description:To directly compare the SLE monocyte transcriptional program with that of blood mDC precursors, we purified lineage HLA-DRhighCD11chigh mDCs and CD14+ monocytes from the blood of five healthy donors. Their gene expression profiles were then compared to those of blood SLE monocytes. An unsupervised clustering analysis of transcripts present in >20% of the samples classified healthy monocytes, SLE monocytes and healthy mDCs into three well defined groups. A supervised analysis was then performed to find genes: 1) differentially expressed in healthy mDCs compared to monocytes; 2) shared by healthy blood mDCs and SLE blood monocytes. To directly compare the SLE monocyte transcriptional program with that of blood mDC precursors, we purified lineage HLA-DRhighCD11chigh mDCs and CD14+ monocytes from the blood of five healthy donors. Their gene expression profiles were then compared to those of blood SLE monocytes. An unsupervised clustering analysis of transcripts present in >20% of the samples classified healthy monocytes, SLE monocytes and healthy mDCs into three well defined groups. A supervised analysis was then performed to find genes: 1) differentially expressed in healthy mDCs compared to monocytes; 2) shared by healthy blood mDCs and SLE blood monocytes.
2014-06-03 | E-GEOD-46913 | biostudies-arrayexpress
Project description:Blood was donated by four healthy volunteers with no known illness or malignancies. Mononuclear cells were separated from the blood by density gradient and CD14+ cells were isolated using anti-CD14 IgG-conjugated magnetic beads and magnetic separation (Miltenyi Biotec). We used an in-house array to analyze the gene expression of a total of 270 targets including 67 cytokines, 57 cytokine receptors, 18 chemokines, 11 chemokines receptors, 10 known TLR4 downstream targets, 64 other inflammation-related proteins, 12 genes expressed primarily in lymphatic endothelial cells, and 32 endothelial cell associated proteins. The results show a baseline expression in CD14+ PBMC in healthy individuals which can be used to detect changes in CD14+ PBMC population via transcript expression in individuals with illnesses and malignancies such as breast cancer.
2016-04-22 | GSE75518 | GEO
Project description:To directly compare the SLE monocyte transcriptional program with that of blood mDC precursors, we purified lineage HLA-DRhighCD11chigh mDCs and CD14+ monocytes from the blood of five healthy donors. Their gene expression profiles were then compared to those of blood SLE monocytes. An unsupervised clustering analysis of transcripts present in >20% of the samples classified healthy monocytes, SLE monocytes and healthy mDCs into three well defined groups. A supervised analysis was then performed to find genes: 1) differentially expressed in healthy mDCs compared to monocytes; 2) shared by healthy blood mDCs and SLE blood monocytes.
2014-06-03 | GSE46913 | GEO
Project description:CD34+ positively isolated from healthy donors (stimulated by G-CSF) with magnetic beads (after blood leukapheresis) CD34- obtained from 10dd cytokine cultured CD34+ Keywords: differentiation
2009-03-01 | GSE11092 | GEO
Project description:We performed single-cell RNA-seq on CD14+ monocytes isolated from the blood of healthy donors. Using the 10x chromium technology, we analyzed 425 and 431 cells from 2 individual donors.
2017-09-15 | GSE103544 | GEO
Project description:To investigate the effect of IFNa2 treatment in CD14+ monocytes, monocytes isolated from healthy donors were treated with or without IFNa2, and SLE monocytes were also harvested for the comparison of the differential expression genes.
2023-01-20 | GSE218492 | GEO
Project description:Gene expression of adherent cells in a coculture of the human bone marrow stromal cell line HS-27a and peripheral blood monocytes (CD14+ cells) was compared to HS-27a cultured alone. Microarray experiments were conducted using CD14+ cells from 7 healthy donors over a period of >7 months. Monocytes were isolated by ficoll separation of whole blood, followed by labelling cells with CD14 monoclonal antibody Tuek4 and magnetic bead selection (Milteny rat anti mouse IgG2a+2b beads) on an AutoMacs. HS27a cells were plated in T75 flasks at approximately 80% confluence. The next day 1.5x10E6 freshly isloated human CD14+ cells were added to the culture. At 3 days the cultures were washed 3x with Hankâ??s buffer to remove nonadherent monocytes. Co-cultures and HS27a cultured alone were harvested by brief trypsinization followed by pelleting of the cells. All RNA isolation was accomplished with Qiagen RNeasy Mini Kit reagents. The RNA (25 ug) was annealed with 5 ug oligo dT12-18, and reverse-transcribed into cDNA with Superscript II reverse transcriptase for 2h at 42ºC in the presence of 0.5mM dGTP, 0.5mM dCTP, 0.5mM dATP, 0.3mM dTTP, 0.2mM amino-allyl dUTP. After hydrolysis of RNA in 0.2M NaOH, Tris was removed from the reaction with a Microcon-30 concentrator. The cDNA from HS27a and HS27a-monocyte cocultures was covalently coupled separately with Cy5 and Cy3 monoreactive fluors, respectively, in 50mM sodium bicarbonate, pH 9.0, followed by quenching with 2.7M hydroxylamine. The Cy5 and Cy3 labelled cDNAs were combined and purified with a QIAquick PCR purification kit and suspended in 36 ul of 3X SSC and 0.8 mg/ml of poly-A for hybridization to the microarray. Fluorescent array images were collected for both Cy3 and Cy5 with a GenePix 4000A fluorescent scanner and image intensity data were extracted and analyzed with GenePix Pro 3.0 analysis software. After background correction and removal of flagged values, log base 2 expression ratios were mean centered and linear transformed to obtain the log and linear values given in the data tables.
2010-05-27 | E-GEOD-831 | biostudies-arrayexpress
Project description:To investigate the effects of α-KG on monocyte gene expression, magnetic beads-sorted CD14+ human monocytes from MPN patients (PT, n = 3) and healthy individuals (HI, n = 2) were incubated with α-KG (250μM) or DMSO control for 6 hours. Cell pellets were collected for RNA-seq analysis.
2024-01-01 | GSE244588 | GEO