Expression data from porcine monocytes sorted on expression of CD14 and CD163
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ABSTRACT: Human and mouse monocytes can be divided into 2 different sub-populations, using CD14-CD16 and Ly6C-CX3CR1 respectively. We investigated the pig monocytes sub-populations and found that all porcine monocyte express CD16 and CD172M-NM-1 but can be divided into 2 subpopulation using CD14 and the scavenger receptor CD163. The CD14hi-CD163low population resemble to the inflammatory monocytes whereas the CD14low-CD163hi display more a resident monocyte type. Pig monocyte can be differentiated into macrophages when cultured with rhCSF-1 and show an increase in size, granularity and autofluorescence, and express the common macrophage markers CD14, CD16 and CD172M-NM-1. Gene expression in these 2 sub-populations was profiled using the newly-developed and annotated pig whole genome snowball microarray, showing a distinct pattern between inflammatory and resident monocytes but this difference would be more a maturation process instead of two separate subsets. Furthermore, the expression of certain genes such as CD36, CLEC4E or TREM-1 proved to share the same pattern as human monocytes, quite different from mouse monocytes. These results emphasize the potential role of the pigs as a model for human inflammatory disease and will improved our knowledge on the mononuclear phagocyte system development. Porcine PBMCs were isolated from the blood of three seperate pigs, FACS sorted on expression of CD14 and CD163 and RNA isolated from each sample, a total of 6 microarrays were hybridised
Project description:C1q expression increases significantly in the peripheral blood of patients with active tuberculosis compared to healthy controls and individuals with latent TB infection. The percentage of C1q-expressing CD14 positive cells is significantly increased in active TB patients. C1q expression in the peripheral blood correlates with sputum smear positivity in tuberculosis patients and is reduced after anti-tuberculosis chemotherapy. Notably, receiver operating characteristic analysis showed that C1qC mRNA levels in peripheral blood efficiently discriminate active from latent tuberculosis infection and healthy controls. Additionally, C1qC protein level in pleural effusion shows improved power in discriminating tuberculosis from non-tuberculosis pleurisy when compared to other inflammatory markers, such as IL-6 and TNF-α C1q expression correlates with active disease in human tuberculosis. C1q could be a potential diagnostic marker to discriminate active tuberculosis from latent tuberculosis infection as well as tuberculosis pleurisy from non-tuberculosis pleurisy. Complement gene expression in peripheral blood mononuclear cells of tuberculosis patients and controls were determined using whole genome transcriptional microarray assays. The mRNA and protein levels of three C1q components, C1qA, C1qB, and C1qC, were further validated by qRT-PCR and enzyme-linked immunosorbent assay, respectively. The percentages of C1q expression in CD14 positive cells were determined by flow cytometry. Finally, C1qC protein level was quantified in the pleural fluid of tuberculosis and non-tuberculosis pleurisy.
Project description:CD14+ purified bovine monoctye stimulation with CpG ODN 2007 vs. GpC ODN 2007, CpG 2007 vs. Control, GpC 2007 vs. Control and Media vs Control (Control is unstimluated CD14+ purified bovine monocytes at time zero). Before stimulation, the CD14+ purified bovine monocytes were rested for 20 h. Then the cells were stimulated for 4hrs.
Project description:Buffy coat blood samples from 4 healthy donors were obtained from the Australian Red Cross Blood Service. The peripheral blood mononuclear cells were then extracted using a Ficoll Paque gradient. CD14 positive monocytes were then extracted using MACS (Miltenyi Biotec) magnetically labeled anti-CD14 antibodies. CD14 positive monocytes were then plated into 10cm petri dishes at a concentration of 1.5x107 cells per plate and differentiated into macrophages by addition of recombinant human CSF-1. Cells were treated with lipopolysaccharide (final conc. 10ng/ml in RPMI 1640 medium) for 2 or 6 hours and an untreated control had RPMI 1640 added only.<br><br>RNA was extracted using QIAGEN RNeasy columns as per the manufacturerM-^Rs protocol and analyzed by Nandrop and Bioanalyzer. RNA was further quality controlled with quantitative real-time PCR for known genes (TLR2, IL6 and IFNb). Samples that had the same expression pattern were then pooled from 4 individuals into 2 pools of two individuals. RNA was sent on dry ice to the Ramaciotti Centre for Gene Function Analysis, Sydney, Australia for processing and hybridization to Affymetrix Human Exon Arrays 1.0 as per the manufactererM-^Rs instructions. A ribo-minus step was included in the protocol. Resulting .CEL files were labeled AB01, AB02, AB03, AB04, AB05 and AB06. AB01 and 04 are the pooled untreated (0hour) time-points. AB02 and 05 are the samples treated for 2 hours, AB03 and 06 are samples treated for 6 hours.<br><br>
Project description:BACKGROUND: Combination antiretroviral therapy (cART) is able to control HIV-1 viral replication, however long-lived latent infection in resting memory CD4+ T-cells persist. The mechanisms for establishment and maintenance of latent infection in resting memory CD4+ T-cells remain unclear. Previously we have shown that HIV-1 infection of resting CD4+ T-cells co-cultured with CD11c+ myeloid dendritic cells (mDC) produced a population of non-proliferating T-cells with latent infection. Here we asked whether different antigen presenting cells (APC), including subpopulations of DC and monocytes, were able to induce post-integration latent infection in resting CD4+ T-cells, and examined potential cell interactions that may be involved using RNA-seq. RESULTS: mDC (CD1c+), SLAN+ DC and CD14+ monocytes were most efficient in stimulating proliferation of CD4+ T-cells during syngeneic culture and in generating post-integration latent infection in non-proliferating CD4+ T-cells following HIV-1 infection of APC-T-cell co-cultures. In comparison, plasmacytoid DC (pDC) and B-cells did not induce latent infection in APC-T-cell co-cultures. We compared the RNA expression profiles of APC subpopulations that could and could not induce latency in non-proliferating CD4+ T-cells. Gene expression analysis, comparing the mDC, SLAN+ DC and CD14+ monocyte subpopulations to pDC identified 53 upregulated genes that encode proteins expressed on the plasma membrane that could signal to CD4+ T-cells via cell-cell interactions (32 genes), immune checkpoints (IC) (5 genes), T-cell activation (9 genes), regulation of apoptosis (5 genes), antigen presentation (1 gene) and through unknown ligands (1 gene). CONCLUSIONS: APC subpopulations from the myeloid lineage, specifically mDC subpopulations and CD14+ monocytes, were able to efficiently induce post-integration HIV-1 latency in non-proliferating CD4+ T-cells in vitro. Inhibition of key pathways involved in mDC-T-cell interactions and HIV-1 latency may provide novel targets to eliminate HIV latency. mRNA profiles of sorted, pure antigen presenting cells including, CD1c+ myleoid dendirtic cells (mDC), SLAN+ mDC, CD14+ monocytes and plasmacytoid DC (pDC), were generated using next generation sequencing in triplicate, using Illumina Illumina Hiseq 2000.
Project description:This SuperSeries is composed of the following subset Series: GSE27230: Analysis of the impact of cellular miRNA signatures on the profiles of circulating miRNA biomarkers (fractionation data) GSE27253: Analysis of the impact of cellular miRNA signatures on the profiles of circulating miRNA biomarkers (variability data) Refer to individual Series
Project description:Serum-free Fibrocytes, Serum-containing Fibrocytes, CD14++CD16- Monocytes, CD14++CD16+ Monocytes, CD14+CD16++ Monocytes, Macrophages were all generated from up to 3 biological replicates from each of 3 separate donors. RNA was extracted (Ambion RNAqueous), labelled with cy3, mixed with cy5 labelled human reference (Stratagene), and hybridised to slides printed with Human AROS v4.0 oligonucleotides (Operon). Slides were scanned using a Perkin Elmer GX plus, and the data then normalised with GEPAS v4.0 and collated. Final data analysis was carried out using TMEV 4.0. SAM was performed using a 0.1% FDR. PCA were plotted from this list, and interrogation carried out using DAVID to determine pathway enrichment.
Project description:NSAID-exacerbated respiratory disease (N-ERD) represents a particularly severe endotype of chronic rhinosinusitis with nasal polyps (CRSwNP), which affects around 10-16% of CRSwNP patients. N-ERD is characterized by severe and refractory nasal polyposis, bronchial asthma and intolerance to non-steroidal anti-inflammatory drugs (NSAIDs), including aspirin. Today, the pathogenesis of AERD remains incompletely understood and curative treatments are lacking. Macrophages are important source and target cells of arachidonic acid metabolites during type 2 inflammation, that have been neglected in N-ERD pathogenesis despite their presence in the nasal mucosa of N-ERD patients. Using a genome-wide methylomics approach, we identified persistent differences in monocytes and alveolar-like monocyte-derived macrophages (aMDM) between N-ERD patients and healthy controls. These were correlated with differentially expressed genes (DEGs) results from our whole transcriptome (RNAseq) analysis, available at: E-MTAB-7965 We isolated monocytes from venous blood and compared them to 7-days in vitro-differentiated aMDM. Cells were lysed in RLT buffer with 1% beta-mercaptoethanol and stored at -80°C until genomic DNA isolation and genome-wide methylomics analysis. Three data analyses were performed. Analyses 1 and 2 compared differentially methylated positions (DMPs) and regions (DMRs) between N-ERD and healthy monocytes or aMDM, respectively. Analysis 3 compared the N-ERD vs. healthy-specific differences between both cell types.
Project description:Human PBMC were treated with LL-37 (20 ug/ml) for 4 hr. CD14+ monocytes were isolated from the PBMC population, followed by RNA isolation from the monocytes for hybridization with cDNA arrays.
Project description:In order to detect the microRNA expression profile of in vitro generated dendritic cells , purified monocytes from PBMCs were used as dendritic cell (DCs) precursors and were cultured in medium with cocktail for differentiation and maturation to immature dendritic cells (iDCs) and mature dendritic cells (mDCs). microRNA samples were isolated from precursor, iDCs and mDCs and used for microarray-based microRNAs expression profiles. To generate enough amount of immature DC (iDCs) and mature DCs (mDCs), monocytes were differentiated with GM-CSF and rhIL-4 for 2 days and maturated in the presence of TNF-α, IL-1β, IL-6 and PGE2 for another 2 days. With the anticipation to insight developmental-stage-specific microRNAs with potential functions related to monocyte derived DCs, global microRNAs expression profiling was set using microarray technology.microRNA expression profiles were performed in triplicate independent experiments starting for 3 groups of precursor, iDC and mDC generated from different blood donors.