Project description:Monocyte activation by high glucose and free fatty acids promotes inflammation implicated in vascular complications associated with Type 2 diabetes (T2D). Emerging evidence shows that long non coding RNA (lncRNA)s regulate inflammation, but their role in T2D induced monocyte dysfunction is unclear. To examine this, we profiled the transcriptome of CD14+ monocytes from volunteers with T2D and without diabetes (n=5 each) using strand-specific RNA-seq on Illumina HiSeq 2500. Our study identified several differentially regulated lncRNAs along with coding genes involved in monocyte functions related to inflammation and monocytosis.
Project description:We identified a novel lncRNA DRAIR that is downregulated in CD14+ monocytes from type 2 diabetes relative to controls. Functional studies showed that DRAIR regulates anti-inflammatory genes and its knockdown enhances proinflammatoory phentype of monocytes. To examine mechanisms of DRAIR actions, we performed Chromatin isolation by RNA purification (ChIRP) assays using DRAIR biotinylated tiling oligonucleotides to identify chromatin inding sites in THP-1 monocytes.
Project description:In this study gene expression of human blood classical monocytes (CD14++CD16-), CD16 positive monocytes (consisting of non-classical CD14+16++ and intermediate CD14++CD16+ monocytes) and CD1c+ CD19- dendritic cells from healthy subjects were investigated. Keywords: expression profiling by array
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:Purpose: To characterise the transcriptomic landscape in monocytes associated with IRF5 expression Methods: RNA sequencing from FACS sorted IRF5+ and IRF5- CD14+ monocytes Results: Differential expression based on IRF5 postiivity provides insight into its roles in monocyte function and in type-2 diabetes Conclusions: This study represents the first analyses of IRF5-dependent transcriptome in circulating monocytes from patients with Type-2 diabetes
Project description:Monocytes are a heterogeneous cell population with subset-specific functions and phenotypes. The differential expression of CD14 and CD16 distinguishes classical CD14++CD16-, intermediate CD14++CD16+ and non-classical CD14+CD16++ monocytes. However, CD14++CD16+ monocytes remain the most poorly characterized subset so far. Therefore we analyzed the transcriptomes of the three monocyte subsets using SuperSAGE in combination with high-throughput sequencing. Analysis of 5,487,603 tags revealed unique identifiers of CD14++CD16+ monocytes, delineating these cells from the two other monocyte subsets. CD14++CD16+ monocytes were linked to antigen processing and presentation (e.g. CD74, HLA-DR, IFI30, CTSB), to inflammation and monocyte activation (e.g. TGFB1, AIF1, PTPN6), and to angiogenesis (e.g. TIE2, CD105). Therefore we provide genetic evidence for a distinct role of CD14++CD16+ monocytes in human immunity. Human monocyte subsets (CD14++CD16-, CD14++CD16+, CD14+CD16++) were isolated from 12 healthy volunteers based on MACS technology. Total RNA from monocyte subsets was isolated and same aliquots from each donor and monocyte subset were matched for SuperSAGE. Three SuperSAGE libraries (CD14++CD16-, CD14++CD16+ and CD14+CD16++) were generated.
Project description:Monocytes are a heterogeneous cell population with subset-specific functions and phenotypes. The differential expression of CD14 and CD16 distinguishes classical CD14++CD16-, intermediate CD14++CD16+ and non-classical CD14+CD16++ monocytes. However, CD14++CD16+ monocytes remain the most poorly characterized subset so far. Therefore we analyzed the transcriptomes of the three monocyte subsets using SuperSAGE in combination with high-throughput sequencing. Analysis of 5,487,603 tags revealed unique identifiers of CD14++CD16+ monocytes, delineating these cells from the two other monocyte subsets. CD14++CD16+ monocytes were linked to antigen processing and presentation (e.g. CD74, HLA-DR, IFI30, CTSB), to inflammation and monocyte activation (e.g. TGFB1, AIF1, PTPN6), and to angiogenesis (e.g. TIE2, CD105). Therefore we provide genetic evidence for a distinct role of CD14++CD16+ monocytes in human immunity.