Similar Datasets
Project description:Our data indicate for the first time that in different SpA subtypes, monocyte subpopulations bear disease-specific miRNA signatures that could be relevant for SpA diagnosis/differentiation process and may help to understand SpA etiopathology in the context of already known functions of monocyte subpopulations The aim of the study was to investigate the micro-RNA (miRNA) profiles in monocyte subpopulations (classical, intermediate and non-classical subpopulations) acquired from SpA patients or healthy individuals in search for prospective disease specific and/or disease subtype differentiating miRNA markers
2023-04-05 | GSE223717 | GEO
Project description:Monocyte subpopulation miRNA profiling
| PRJNA706359 | ENA
Project description:Purpose: Identify differences in gene expression profiles in fetal monocytes - cells that persist and differentiate postnatally - according to distinct placental histologic domains. Methods: We first isolated classical and intermediate monocyte subsets via FACS and performed transcriptomic profiling of 140 samples (70 classical and 70 intermediate monocyte samples) using bulk RNA-Seq. Results: We report that placental lesions are associated with gene expression changes in fetal monocyte subsets. Specifically,fetal monocytes exposed to acute placental inflammation upregulate biological processes related to monocyte activation, monocyte chemotaxis, and platelet function while monocytes exposed to maternal vascular malperfusion lesions downregulate these processes. Additionally, we show that intermediate monocytes might be a source of mitogens, such as HBEGF, NRG1, and VEGFA, implicated in different outcomes related to prematurity. Conclusions: This is the first study to show that placental lesions are associated with unique changes in fetal monocytes and monocyte subsets. As fetal monocytes persist and differentiate into various phagocytic cells following birth, our study may provide insight into morbidity related to prematurity and ultimately potential therapeutic targets.
2022-02-02 | GSE195727 | GEO
Project description:In this analysis, sorted classical (CM), intermediate (IM) and non-classical (NCM) monocyte subsets from children under steady state (healthy, H) and dengue febrile illness (Dengue, D) were analyzed for their transcriptional profiles using RNA seq. The monocyte subsets were sorted from peripheral blood cells after excluding CD3, CD19, CD20, CD56, CD66b and NKp30 positive cells and then gating on HLADR positive population to identify CM, IM and NCM subsets based on surface expression of CD16 and CD14. The transcriptional profile of the three monocyte subsets was separately compared in healthy children, in dengue febrile children and in dengue versus healthy states. This study highlights hierarchy of gene expression in classical, intermediate and non-classical monocytes in healthy and dengue febrile conditions.
2022-05-16 | GSE176079 | GEO
Project description:The new official nomenclature subdivides human monocytes into three subsets, classical (CD14++CD16-), intermediate (CD14++CD16+) and nonclassical (CD14+CD16+). Here, we comprehensively define relationships and unique characteristics of the three human monocyte subsets using microarray and flow cytometry analysis. Our analysis revealed that the intermediate and nonclassical monocyte subsets were most closely related. For the intermediate subset, majority of genes and surface markers were expressed at an intermediary level between the classical and nonclassical subset. There features therefore indicate a close and direct lineage relationship between the intermediate and nonclassical subset. From gene expression profiles, we define unique characteristics for each monocyte subset. Classical monocytes were functionally versatile, due to the expression of a wide range of sensing receptors and several members of the AP-1 transcription factor family. The intermediate subset was distinguished by high expression of MHC class II associated genes. The nonclassical subset were most highly differentiated and defined by genes involved in cytoskeleton rearrangement that explains their highly motile patrolling behavior in vivo. Additionally, we identify unique surface markers, CLEC4D, IL-13RA1 for classical, GFRA2, CLEC10A for intermediate and GPR44 for nonclassical. Our study hence defines the fundamental features of monocyte subsets necessary for future research on monocyte heterogeneity. Three human monocyte subsets, the CD14++CD16- classical, the CD14++CD16+ intermediate and CD14+CD16+ nonclassical subsets were purified using fluorescence activated cell sorting from peripheral blood mononuclear cells. RNA was processed from the three monocyte subsets from 4 individual donors in duplicates, giving a total of 24 samples.
2011-05-01 | E-GEOD-25913 | biostudies-arrayexpress
Project description:The new official nomenclature subdivides human monocytes into three subsets, classical (CD14++CD16-), intermediate (CD14++CD16+) and nonclassical (CD14+CD16+). Here, we comprehensively define relationships and unique characteristics of the three human monocyte subsets using microarray and flow cytometry analysis. Our analysis revealed that the intermediate and nonclassical monocyte subsets were most closely related. For the intermediate subset, majority of genes and surface markers were expressed at an intermediary level between the classical and nonclassical subset. There features therefore indicate a close and direct lineage relationship between the intermediate and nonclassical subset. From gene expression profiles, we define unique characteristics for each monocyte subset. Classical monocytes were functionally versatile, due to the expression of a wide range of sensing receptors and several members of the AP-1 transcription factor family. The intermediate subset was distinguished by high expression of MHC class II associated genes. The nonclassical subset were most highly differentiated and defined by genes involved in cytoskeleton rearrangement that explains their highly motile patrolling behavior in vivo. Additionally, we identify unique surface markers, CLEC4D, IL-13RA1 for classical, GFRA2, CLEC10A for intermediate and GPR44 for nonclassical. Our study hence defines the fundamental features of monocyte subsets necessary for future research on monocyte heterogeneity.
2011-05-01 | GSE25913 | GEO
Project description:Systemic Lupus Erythematosus (SLE) is an autoimmune disease characterized by systemic inflammation that involves various immune cell types. Monocytes are central players in promoting and regulating inflammation. Different monocyte subsets exist and change their proportions during physiological immune responses and under pathological conditions, including SLE, supporting different roles in inflammatory responses. In this study, we obtained the epigenetic and transcriptomic profiles of the three monocyte subsets, classical, intermediate and non-classical monocytes in an SLE cohort. We found different common and subset-specific alterations. While SLE classical monocytes had a stronger proinflammatory profile with an important interferon influence priming them towards macrophage differentiation, non-classical monocytes had a phenotype related to T cell differentiation regulation, with several indications pointing towards a Th17 promoting behavior. Integration of these bulk datasets with single-cell RNA-seq data of an SLE cohort shed light on the heterogeneity of our monocytes, confirming the interferon signature profile of classical monocytes and pointing towards intermediate and non-classical populations associated with exacerbated complement activation pathways, among others. With this analysis, we confirm the differential role of monocyte subsets in the pathogenesis of SLE and give insight into their regulatory mechanisms.
2024-10-30 | GSE249639 | GEO
Project description:Monocytes are critical cells of the immune system but their role as effectors is relatively poor understood, as they have long been considered only as precursors of tissue macrophages or dendritic cells. Moreover, it is known that this cell type is heterogeneous, but our understanding of this aspect is limited to the broad classification in classical/intermediate/non-classical monocytes, commonly based on their expression of only two markers, i.e. CD14 and CD16. We deeply dissected the heterogeneity of human circulating monocytes in healthy donors by transcriptomic analysis at single-cell level and identified 9 distinct monocyte populations characterized each by a profile suggestive of specialized functions. The classical monocyte subset in fact included five distinct populations, each enriched for transcriptomic sets related to either inflammatory, neutrophil-like, interferon-related, and platelet-related pathways. Non-classical monocytes included two distinct populations, one of which marked specifically by elevated expression levels of complement components. Intermediate monocytes were not further divided in our analysis and were characterized by high levels of HLA genes. Finally, we identified one cluster included in both classical and non-classical monocytes, characterized by a strong cytotoxic signature. These findings provided the rationale to exploit the relevance of newly identified monocyte populations in disease evolution. Collectively, this study unravels an unexpected complexity among human circulating monocytes.
2022-10-04 | GSE213004 | GEO
Project description:Systemic Lupus Erythematosus (SLE) is an autoimmune disease characterized by systemic inflammation that involves various immune cell types. Monocytes play a central role in promoting and regulating inflammation. Peripheral blood classical monocytes subsequently differentiate into intermediate monocytes and then non-classical monocytes, assuming diverse roles and undergoing changes in their proportions during physiological immune responses and pathological conditions, including SLE. In this study, we obtained the epigenetic and transcriptomic profiles of these three monocyte subsets in an SLE cohort. We found different common and subset-specific alterations. While SLE classical monocytes had a stronger proinflammatory profile with an important interferon influence priming them towards macrophage differentiation, non-classical monocytes had a phenotype related to T cell differentiation regulation, with several indications pointing towards a Th17 promoting behavior. Integration of these bulk datasets with single-cell RNA-seq data of an SLE cohort shed light on the heterogeneity of our monocytes, confirming the interferon signature profile of classical monocytes and pointing towards intermediate and non-classical populations associated with exacerbated complement activation pathways, among others. Our results indicate a subversion of the epigenome and transcriptome in monocyte differentiation toward non-classical subsets in SLE, involving the STAT1 pathway and impacting function in relation to disease activity.
2024-10-30 | GSE249619 | GEO
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.
2011-07-24 | E-GEOD-30811 | biostudies-arrayexpress