Project description:Transcriptome analysis of five population of Antigen Presenting Cells: inflammatory macrophages, Inflammatory dendritic cells, Cd14+CD16- monocytes, CD14 dim Cd16+ monocytes and BDCA1+ Dendritic cells. We analyzed transcriptomic profiles from 5 differents DC populations: inflammatory DC and macrophages form inflammatory ascites (ovarian cancer, 4 different donors); CD14+CD16- monocytes, CD14dim CD16+ monocytes and BDCA1+ DC (from 3 different healthy donors) using the Affymetrix Human Gene 1.1 ST platform.
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.
Project description:As part of our study in understanding the role of SP140 in inflammatory pathways in macrophages, we inhibited SP140 mRNA using siRNA. Peripheral blood mononuclear cells (PBMCs) were obtained from whole blood of healthy donors (from Sanquin Institute Amsterdam or from GSK Stevenage Blood Donation Unit) by Ficoll density gradient (Invitrogen). CD14+ monocytes were positively selected from PBMCs using CD14 Microbeads according to the manufacturer’s instructions (Miltenyi Biotec). CD14+ cells were differentiated with 20 ng/mL of macrophage colony-stimulating factor (M-CSF) (R&D systems) for 3 days followed by 3 days of polarization into classically activated (inflammatory) M1 macrophages (100 ng/mL IFN-γ; R&D systems). M1 macrophages were transfected with siGENOME human smartpool SP140 siRNA or non-targeting scrambled siRNA for 48h with DharmaFECT™ transfection reagents according to manufacturer’s protocol (Dharmacon). The cells were left unstimulated or stimulated with 100 ng/mL LPS (E. coli 0111:B4; Sigma) for 4h (for qPCR) or 24h (for Elisa). The cells were lysed (ISOLATE II RNA Lysis Buffer RLY-Bioline) for RNA extraction.150 ng total RNA was labelled using the cRNA labelling kit for Illumina BeadArrays (Ambion) and hybridized with Ref8v3 BeadArrays (Illumina). Arrays were scanned on a BeadArray 500GX scanner and data were normalized using quantile normalization with background subtraction (GenomeStudio software; Illumina). This submission only contains processed data
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.
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.
Project description:Genome wide DNA methylation profiling of monocytes from healthy donors, systemic inflammatory response syndrome (SIRS) and septic patients. The Illumina Infinium MethylationEPIC Beadchip was used to obtain DNA methylation profiles across approximately 850,000 CpGs in CD14+CD66bneg monocytes isolated from PBMCs of 11 healthy donors, 4 SIRS and 14 septic patients.
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.
Project description:To identify the gene expressing profiles of TIE2 expressing Monocytes(TEMs), we have employed the Agilent lncRNA Gene Expression 4Ã180K(Design ID:042818) microarray. Human peripheral blood mononuclear cells (PBMCs) in venous blood from healthy donors were isolated by Lymphoprep (Axis-Shield, Norway). Human monocytes in PBMCs, identified as cells that expressed CD14, were enriched by positive immunomagnetic selection using anti-CD14 MicroBeads (Miltenyi, Germany). TEMs (TIE2+CD14+) and TIE2-Monocytes (Tie2-CD14+) were then isolated by FACS-sorting (Aria II, BD Biosciences) using FITC-conjugated anti-CD14 (BD Biosciences, USA) and APC-conjugated anti-TIE2 (R&D System, USA) antibodies.Three TEMs samples together with their paried TIE2-Monocytes were detected.Expressions of sixteen genes (CDKN1A, FDXR, SESN1, BBC3 and PHPT1) from this signature was quantified in the same RNA samples by real-time PCR, confirming low variability between donors as well as the predicted radiation response pattern. The gene expressions of three independent paried TEMs and TIE2- Monocytes samples from different donors were measured.
Project description:To identify the gene expressing profiles of TIE2 expressing Monocytes(TEMs), we have employed the Agilent lncRNA Gene Expression 4×180K(Design ID:042818) microarray. Human peripheral blood mononuclear cells (PBMCs) in venous blood from healthy donors were isolated by Lymphoprep (Axis-Shield, Norway). Human monocytes in PBMCs, identified as cells that expressed CD14, were enriched by positive immunomagnetic selection using anti-CD14 MicroBeads (Miltenyi, Germany). TEMs (TIE2+CD14+) and TIE2-Monocytes (Tie2-CD14+) were then isolated by FACS-sorting (Aria II, BD Biosciences) using FITC-conjugated anti-CD14 (BD Biosciences, USA) and APC-conjugated anti-TIE2 (R&D System, USA) antibodies.Three TEMs samples together with their paried TIE2-Monocytes were detected.Expressions of sixteen genes (CDKN1A, FDXR, SESN1, BBC3 and PHPT1) from this signature was quantified in the same RNA samples by real-time PCR, confirming low variability between donors as well as the predicted radiation response pattern.