MiRNA profiling of CD8+ T cells, CD14+ monocytes and neutrophils from patients with multiple sclerosis (MS), type 1 diabetes (T1D) and healthy controls (HCs)
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ABSTRACT:
ORGANISM(S): synthetic construct Homo sapiens
PROVIDER: GSE289530 | GEO | 2026/04/03
REPOSITORIES: GEO
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Project description:We investigated the innate immune system in the SOD1 ALS model. We found that splenic Ly6CHi monocytes were activated and their progressive recruitment to the spinal cord, but not brain, correlated with neuronal loss. We found a decrease in resident microglia in the spinal cord with disease progression. Two months prior to disease onset, splenic Ly6CHi monocytes had an M1 signature which included increased CCR2. At one month prior to disease onset, microglia expressed increased CCL2 and other chemotaxis-associated molecules. Microglia derived from the spinal cord of SOD1 mice recruited Ly6C+ monocytes to the CNS. Treatment with anti-Ly6C mAb modulated the Ly6CHi monocyte cytokine profile, reduced monocyte recruitment to the spinal cord, diminished neuronal loss and extended survival. In humans with ALS, CD14+/CD16- monocytes (analogue of Ly6CHi monocytes) exhibited an ALS specific microRNA inflammatory signature similar to that observed in the SOD1 mouse providing a direct link between the animal model and the human disease. Thus, the SOD1-like profile of monocytes in ALS subjects may serve as a biomarker for disease stage or progression. Our results suggest that recruitment of inflammatory monocytes plays an important role in disease progression and that modulation of these cells is a potential therapeutic approach. This study used the NanoString nCounter hybridization system and nCounter miRNA expression assays to identify and quantitate miRNAs in blood CD14+CD16- monocytes from ALS, MS and HC subjects Total RNA was isolated from FACS sorted CD14+CD16- blood-derived monocytes from sporadic ALS (n=8), MS (n=8) and HC (n=8) subjects. RNA was profiled using the NanoString nCounter miRNA expression assay
2012-07-25 | E-GEOD-39643 | biostudies-arrayexpress
Project description:Type 1 diabetes (T1D) is an autoimmune disease characterized by the destruction of pancreatic insulin-producing β cells. CD4+ T cells are integral to the pathogenesis of T1D, but biomarkers that define their pathogenic status in T1D are lacking. miRNAs have essential functions in a wide range of tissues/organs, including the immune system. We reasoned that CD4+ T cells from individuals at high risk for T1D (pre-T1D) might be distinguished by an miRNA signature. We sorted CD4+ T cells from 9 healthy and 7 pre-T1D individuals into 6 subsets, namely naïve, resting regulatory (rTreg), activated regulatory (aTreg), transitional memory (Ttm), central memory (Tcm) and effector memory (Tem) cells, and then compared miRNA profiles between these subsets and between pre-T1D and healthy individuals by deep sequencing. Differential expression of miRNAs was detected in each of the CD4+ T cell subsets. For example, expression of miRNAs that induce apoptosis (miR-15a) or FOXP3 instability (miR-31) was increased in rTreg and aTreg cells, respectively, in pre-T1D individuals, whereas miR-150 was increased in Tem cells of pre-T1D individuals. Importantly, increased miR-150 expression could be detected by qRT-PCR in total CD4+ T and PBMCs of pre-T1D individuals. Consistent with it being a marker of pathogenic CD4+ T cells, we showed that miR-150 regulates IFN-γ production in mouse CD4+ T cells. Thus, comprehensive profiling identifies miRNA profiles that not only distinguish CD4+ T cell subsets but also discriminate individuals with preclinical T1D. The ability to detect differentially expressed miRNAs in total CD4+ T cells or PBMCs should facilitate clinical application of miRNAs as biomarkers.
2015-12-31 | GSE44639 | GEO
Project description:The progression to AIDS is influenced by changes in the biology of heterogeneous monocyte subsets. Classical (CD14++CD16-), intermediate (CD14++CD16+), and nonclassical (CD14+CD16++) monocytes may represent progressive stages of monocyte maturation or disparate myeloid lineages with different turnover rates and function. To investigate the relationship between monocyte subsets and the response to SIV infection, we performed microarray analysis of monocyte subsets in rhesus macaques at three timepoints: prior to SIV infection, 26 days post-infection, and necropsy with AIDS. Genes with a 2-fold change between monocyte subsets (2023 genes) or infection timepoints (424 genes) were selected. We identify 172 genes differentially expressed among monocyte subsets in both uninfected and SIV-infected animals. Classical monocytes express genes associated with inflammatory responses and cell proliferation. Nonclassical monocytes express genes associated with activation, immune effector functions, and cell cycle inhibition. The classical and intermediate subsets are most similar at all timepoints, and transcriptional similarity between intermediate and nonclassical monocytes increases with AIDS. Cytosolic sensors of nucleic acids, restriction factors, and interferon-stimulated genes are induced in all three subsets with AIDS. We conclude that SIV infection alters the transcriptional relationship between monocyte subsets and that the innate immune response to SIV infection is conserved across monocyte subsets.
2017-05-10 | GSE98717 | GEO
Project description:Blood consists of different cell populations with distinct functions and correspondingly, distinct gene expression profiles. In this study, global miRNA expression profiling was performed across a panel of nine human immune cell subsets (neutrophils, eosinophils, monocytes, B cells, NK cells, CD4 T cells, CD8 T cells, mDCs and pDCs) to identify cell-type specific miRNAs. mRNA expression profiling was performed on the same samples, to determine if miRNAs specific to certain cell types down-regulated expression levels of their target genes. Six cell-type specific miRNAs (miR-143; neutrophil specific, miR-125; T cells and neutrophil specific, miR-500; monocytes and pDC specific, miR-150; lymphoid cells specific, miR-652 and miR-223; both myeloid cells specific) were negatively correlated with expression of their predicted target genes. These results were further validated using an independent cohort where similar immune cell subsets were isolated and profiled for both miRNA and mRNA expression. miRNAs negatively correlated with target gene expression in both cohorts were identified as candidates for miRNA-mRNA regulatory pairs and were used to construct a cell-type specific regulatory network. miRNA-mRNA pairs formed two distinct clusters in the network corresponding to myeloid (nine miRNAs) and lymphoid lineages (two miRNAs). Several myeloid specific miRNAs targeted common genes including ABL2, EIF4A2, EPC1 and INO80D; these common targets were enriched for genes involved in the regulation of gene expression (p < 9.0E-7). Those miRNA might therefore have significant further effect on gene expression by repressing the expression of genes involved in transcriptional regulation. The miRNA and mRNA expression profiles reported in this study form a comprehensive transcriptome database of various human blood cells and serve as a valuable resource for elucidating the role of miRNA mediated regulation in the establishment of immune cell identity. Nine cell subsets (CD16+CD66b+ Neutrophils, CD16-CD66b+ Eosinophils, CD14+ Monocytes, CD4+ T cells, CD8+ T cells, CD56+ NK cells, CD19+ B cells, CD123+ pDCs and CD11c+ mDCs) were isolated from healthy human blood and assessed for cell type purity by flow cytometry. Cell types were isolated from 5 pools of 5 healthy donors each, with the exception for monocytes, where 10 pools were used. RNA obtained from these purified populations were subsequently used for miRNA and mRNA expression profiling by Affymetrix GeneChip miRNA and HG-U133Plus2.0 microarrays.
2012-01-31 | E-GEOD-28487 | biostudies-arrayexpress
Project description:Blood consists of different cell populations with distinct functions and correspondingly, distinct gene expression profiles. In this study, global miRNA expression profiling was performed across a panel of nine human immune cell subsets (neutrophils, eosinophils, monocytes, B cells, NK cells, CD4 T cells, CD8 T cells, mDCs and pDCs) to identify cell-type specific miRNAs. mRNA expression profiling was performed on the same samples, to determine if miRNAs specific to certain cell types down-regulated expression levels of their target genes. Six cell-type specific miRNAs (miR-143; neutrophil specific, miR-125; T cells and neutrophil specific, miR-500; monocytes and pDC specific, miR-150; lymphoid cells specific, miR-652 and miR-223; both myeloid cells specific) were negatively correlated with expression of their predicted target genes. These results were further validated using an independent cohort where similar immune cell subsets were isolated and profiled for both miRNA and mRNA expression. miRNAs negatively correlated with target gene expression in both cohorts were identified as candidates for miRNA-mRNA regulatory pairs and were used to construct a cell-type specific regulatory network. miRNA-mRNA pairs formed two distinct clusters in the network corresponding to myeloid (nine miRNAs) and lymphoid lineages (two miRNAs). Several myeloid specific miRNAs targeted common genes including ABL2, EIF4A2, EPC1 and INO80D; these common targets were enriched for genes involved in the regulation of gene expression (p < 9.0E-7). Those miRNA might therefore have significant further effect on gene expression by repressing the expression of genes involved in transcriptional regulation. The miRNA and mRNA expression profiles reported in this study form a comprehensive transcriptome database of various human blood cells and serve as a valuable resource for elucidating the role of miRNA mediated regulation in the establishment of immune cell identity. Nine cell subsets (CD16+CD66b+ Neutrophils, CD16-CD66b+ Eosinophils, CD14+ Monocytes, CD4+ T cells, CD8+ T cells, CD56+ NK cells, CD19+ B cells, CD123+ pDCs and CD11c+ mDCs) were isolated from healthy human blood and assessed for cell type purity by flow cytometry. Cell types were isolated from 5 pools of 5 healthy donors each, with the exception for monocytes, where 10 pools were used. RNA obtained from these purified populations were subsequently used for miRNA and mRNA expression profiling by Affymetrix GeneChip miRNA and HG-U133Plus2.0 microarrays.
2012-01-31 | E-GEOD-28491 | biostudies-arrayexpress
Project description:Blood consists of different cell populations with distinct functions and correspondingly, distinct gene expression profiles. In this study, global miRNA expression profiling was performed across a panel of nine human immune cell subsets (neutrophils, eosinophils, monocytes, B cells, NK cells, CD4 T cells, CD8 T cells, mDCs and pDCs) to identify cell-type specific miRNAs. mRNA expression profiling was performed on the same samples, to determine if miRNAs specific to certain cell types down-regulated expression levels of their target genes. Six cell-type specific miRNAs (miR-143; neutrophil specific, miR-125; T cells and neutrophil specific, miR-500; monocytes and pDC specific, miR-150; lymphoid cells specific, miR-652 and miR-223; both myeloid cells specific) were negatively correlated with expression of their predicted target genes. These results were further validated using an independent cohort where similar immune cell subsets were isolated and profiled for both miRNA and mRNA expression. miRNAs negatively correlated with target gene expression in both cohorts were identified as candidates for miRNA-mRNA regulatory pairs and were used to construct a cell-type specific regulatory network. miRNA-mRNA pairs formed two distinct clusters in the network corresponding to myeloid (nine miRNAs) and lymphoid lineages (two miRNAs). Several myeloid specific miRNAs targeted common genes including ABL2, EIF4A2, EPC1 and INO80D; these common targets were enriched for genes involved in the regulation of gene expression (p < 9.0E-7). Those miRNA might therefore have significant further effect on gene expression by repressing the expression of genes involved in transcriptional regulation. The miRNA and mRNA expression profiles reported in this study form a comprehensive transcriptome database of various human blood cells and serve as a valuable resource for elucidating the role of miRNA mediated regulation in the establishment of immune cell identity. Nine cell subsets (CD16+CD66b+ Neutrophils, CD16-CD66b+ Eosinophils, CD14+ Monocytes, CD4+ T cells, CD8+ T cells, CD56+ NK cells, CD19+ B cells, CD123+ pDCs and CD11c+ mDCs) were isolated from healthy human blood and assessed for cell type purity by flow cytometry. Cell types were isolated from 5 pools of 5 healthy donors each, with the exception for monocytes, where 10 pools were used. RNA obtained from these purified populations were subsequently used for miRNA and mRNA expression profiling by Affymetrix GeneChip miRNA and HG-U133Plus2.0 microarrays.
2012-01-31 | E-GEOD-28489 | biostudies-arrayexpress
Project description:Blood consists of different cell populations with distinct functions and correspondingly, distinct gene expression profiles. In this study, global miRNA expression profiling was performed across a panel of nine human immune cell subsets (neutrophils, eosinophils, monocytes, B cells, NK cells, CD4 T cells, CD8 T cells, mDCs and pDCs) to identify cell-type specific miRNAs. mRNA expression profiling was performed on the same samples, to determine if miRNAs specific to certain cell types down-regulated expression levels of their target genes. Six cell-type specific miRNAs (miR-143; neutrophil specific, miR-125; T cells and neutrophil specific, miR-500; monocytes and pDC specific, miR-150; lymphoid cells specific, miR-652 and miR-223; both myeloid cells specific) were negatively correlated with expression of their predicted target genes. These results were further validated using an independent cohort where similar immune cell subsets were isolated and profiled for both miRNA and mRNA expression. miRNAs negatively correlated with target gene expression in both cohorts were identified as candidates for miRNA-mRNA regulatory pairs and were used to construct a cell-type specific regulatory network. miRNA-mRNA pairs formed two distinct clusters in the network corresponding to myeloid (nine miRNAs) and lymphoid lineages (two miRNAs). Several myeloid specific miRNAs targeted common genes including ABL2, EIF4A2, EPC1 and INO80D; these common targets were enriched for genes involved in the regulation of gene expression (p < 9.0E-7). Those miRNA might therefore have significant further effect on gene expression by repressing the expression of genes involved in transcriptional regulation. The miRNA and mRNA expression profiles reported in this study form a comprehensive transcriptome database of various human blood cells and serve as a valuable resource for elucidating the role of miRNA mediated regulation in the establishment of immune cell identity. Nine cell subsets (CD16+CD66b+ Neutrophils, CD16-CD66b+ Eosinophils, CD14+ Monocytes, CD4+ T cells, CD8+ T cells, CD56+ NK cells, CD19+ B cells, CD123+ pDCs and CD11c+ mDCs) were isolated from healthy human blood and assessed for cell type purity by flow cytometry. Cell types were isolated from 5 pools of 5 healthy donors each, with the exception for monocytes, where 10 pools were used. RNA obtained from these purified populations were subsequently used for miRNA and mRNA expression profiling by Affymetrix GeneChip miRNA and HG-U133Plus2.0 microarrays.
2012-01-31 | E-GEOD-28490 | biostudies-arrayexpress
Project description:Insulin-dependent diabetes mellitus (T1D) is an organ-specific auto-immune disease caused by the selective destruction of the pancreatic beta cells by inflammatory cells, especially auto-reactive CD8+ T lymphocytes. In this study we evaluated the differential large scale gene expression profiling using cDNA microarrays of T (CD4+ and CD8+) and monocyte (CD14+) cells. In addition, considering that HLA class II profile may influence the expression of these molecules on the surface of peripheral blood cells, and considering that the mechanisms by which HLA class II susceptibility alleles drive the auto-immune response have not been elucidated, we intend to further stratify T1D patients according to the HLA class II profile. 20 pre-pubertal recently diagnosed T1D patients were selected, HLA-DRB1/DQB1 allele typing and separated in two groups. The group 1(G1) had patients with susceptibility alleles and group 2 (G2) with at least one protection allele. To established relationships between genes, the GeneNetwork 1.2 algorithm was used, 6 networks were obtained, TCD4+ G1 patients X controls, TCD4+ G2 patients X controls, and same situation to TCD8+ and CD14+.
2011-06-15 | E-MEXP-3223 | biostudies-arrayexpress
Project description:Multiple sclerosis (MS) is an autoimmune disease of the central nervous system in which both genetic and environmental factors are thought to be involved. Genome-wide association studies revealed more than 200 risk loci, most of which harbor genes primarily expressed in immune cells. However, whether genetic differences are translated into cell-specific gene expression profiles and to what extent these are altered in MS are not well understood. To assess cell-type-specific gene expression in a large cohort of MS patients, we sequenced the whole transcriptome of sorted T cells (CD4+ and CD8+) and CD14+ monocytes from treatment-naive MS patients (n=122) and healthy subjects (n=22). Next, we performed a comprehensive analysis of the RNA sequencing dataset and identified 612 differentially expressed genes (DEGs) in CD14+ monocytes, 464 in CD4+ T cells, and 93 in CD8+ T cells. Notably, about one third (36.6%) of DEGs were non-coding RNAs, the majority of which (88.2%) were down-regulated in MS. We identified large co-expressed gene modules and cis-eQTLs with key MS genes in each cell subset. Importantly, we discovered dysregulation of NAE1, a subunit of NEDD8 activating enzyme (NAE), in CD4+ T cells which activates the neddylation pathway. Finally, we demonstrated that NAE inhibition using Pevonedistat (MLN4924) dampened disease severity in murine experimental autoimmune encephalomyelitis (EAE). Our findings provide novel insights into MS-associated gene regulation unraveling neddylation as a crucial pathway in MS pathogenesis with implications for the development of tailored disease-modifying agents.
2020-12-31 | GSE137143 | GEO
Project description:To identify the miRNA expressing profiles of TIE2 expressing Monocytes (TEMs), we have employed the Agilent Human miRNA 8×60K (Design ID:046064) 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.
2017-05-19 | GSE68322 | GEO