Whole blood transcriptomic analysis of ANCA-associated vasculitis
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PROVIDER: EGAS00001006704 | EGA |
REPOSITORIES: EGA
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Project description:Systemic lupus erythematosus (SLE) is a systemic and heterogeneous autoimmune disease for which its treatment and phosphorylation-dependent regulatory mechanism remain elusive. Here, we aim to explore the molecular mechanism of phosphorylation regulation for SLE. We employed high-throughput Phosphoproteomics of peripheral blood mononuclear cells (PBMCs) from 126 patients with SLE remission stage (SLE_S), 70 patients with SLE active stage (SLE_A), 160 patients with RA, and 135 healthy controls (HC). An independent cohort that included 60 SLE_S, 35 SLE_A, 50 RA and 40 HC was used to validate the phosphosites via parallel reaction monitoring (PRM). We revealed upregulated pathways involved in cell adhesion and migration in patients with SLE (SLE_S and SLE_A) compared with HCs and RA. Expression pattern clustering analysis revealed several specifically upregulated phosphosites, and the leukocyte transendothelial migration was specifically enriched in SLE_A. We predicted several key kinases including MAP3Ks, MAP2Ks, IKKB and TBK1, and found that upregulated kinase activity is associated with increased phosphorylation of VCL, TLN1 and VAPB by kinases-substrate network analysis. These phosphorylated proteins also regulate the pathways related to cell adhesion and migration, and which have not been implicated in previous studies of SLE. Moreover, we validated these phosphosites with the same trend as 4D-LFQ data, including LCP1 S5, TLN1 S1201, TLN1 S1225, VCL S275 and VCL S579. In summary, the present study elucidates the changes of phosphosites, kinases and pathways in SLE, and may provide potentially novel targets for further mechanism exploration.
2023-03-11 | PXD025559 | Pride
Project description:Systemic lupus erythematosus (SLE) is a systemic and heterogeneous autoimmune disease for which its treatment and phosphorylation-dependent regulatory mechanism remain elusive. Here, we aim to explore the molecular mechanism of phosphorylation regulation for SLE. We employed high-throughput Phosphoproteomics of peripheral blood mononuclear cells (PBMCs) from 126 patients with SLE remission stage (SLE_S), 70 patients with SLE active stage (SLE_A), 160 patients with RA, and 135 healthy controls (HC). An independent cohort that included 60 SLE_S, 35 SLE_A, 50 RA and 40 HC was used to validate the phosphosites via parallel reaction monitoring (PRM). We revealed upregulated pathways involved in cell adhesion and migration in patients with SLE (SLE_S and SLE_A) compared with HCs and RA. Expression pattern clustering analysis revealed several specifically upregulated phosphosites, and the leukocyte transendothelial migration was specifically enriched in SLE_A. We predicted several key kinases including MAP3Ks, MAP2Ks, IKKB and TBK1, and found that upregulated kinase activity is associated with increased phosphorylation of VCL, TLN1 and VAPB by kinases-substrate network analysis. These phosphorylated proteins also regulate the pathways related to cell adhesion and migration, and which have not been implicated in previous studies of SLE. Moreover, we validated these phosphosites with the same trend as 4D-LFQ data, including LCP1 S5, TLN1 S1201, TLN1 S1225, VCL S275 and VCL S579. In summary, the present study elucidates the changes of phosphosites, kinases and pathways in SLE, and may provide potentially novel targets for further mechanism exploration.
2023-03-11 | PXD025399 | Pride
Project description:Systemic lupus erythematosus (SLE) is a systemic and heterogeneous autoimmune disease for which its treatment and phosphorylation-dependent regulatory mechanism remain elusive. Here, we aim to explore the molecular mechanism of phosphorylation regulation for SLE. We employed high-throughput Phosphoproteomics of peripheral blood mononuclear cells (PBMCs) from 126 patients with SLE remission stage (SLE_S), 70 patients with SLE active stage (SLE_A), 160 patients with RA, and 135 healthy controls (HC). An independent cohort that included 60 SLE_S, 35 SLE_A, 50 RA and 40 HC was used to validate the phosphosites via parallel reaction monitoring (PRM). We revealed upregulated pathways involved in cell adhesion and migration in patients with SLE (SLE_S and SLE_A) compared with HCs and RA. Expression pattern clustering analysis revealed several specifically upregulated phosphosites, and the leukocyte transendothelial migration was specifically enriched in SLE_A. We predicted several key kinases including MAP3Ks, MAP2Ks, IKKB and TBK1, and found that upregulated kinase activity is associated with increased phosphorylation of VCL, TLN1 and VAPB by kinases-substrate network analysis. These phosphorylated proteins also regulate the pathways related to cell adhesion and migration, and which have not been implicated in previous studies of SLE. Moreover, we validated these phosphosites with the same trend as 4D-LFQ data, including LCP1 S5, TLN1 S1201, TLN1 S1225, VCL S275 and VCL S579. In summary, the present study elucidates the changes of phosphosites, kinases and pathways in SLE, and may provide potentially novel targets for further mechanism exploration.
2023-03-11 | PXD025076 | Pride
Project description:To screen the differentially expressed lncRNAs, we performed lncRNA profiling using ArrayStar Human LncRNA Microarray in 24 new-onset systemic lupus erythematosus (SLE) patients and 12 age- and sex-matched healthy controls (HCs). For the lncRNA microarray screening, total RNA from plasma was isolated from 12 SLE without nephritis, 12 lupus nephritis (LN) and 12 HCs. Four RNA samples were mixed togther as a pool of sample for microarray analysis. Accordingly, there were each three pooled RNA samples from 12 SLE without nephritis, 12 LN and 12 HCs for microarray analysis. Hierarchical clustering showed the plasma levels of lncRNAs and mRNAs differed significantly between 24 new-onset SLE patients and 12 control subjects. With a fold change ≥ 2 and P ≤ 0.05, we identified 1315 significantly differentially expressed lncRNAs (743 lncRNAs up-regulated and 572 lncRNAs down-regulated) and 1363 differentially expressed mRNAs (745 mRNAs up-regulated and 618 mRNAs down-regulated) in plasma of SLE patients compared with control samples.
2017-08-12 | GSE102547 | GEO
Project description:SLE patients are always with various disease manifestation. Various cytokines are pointed interacting and playing pathological roles in SLE although the etiopathology is still obscure. In this study, we aimed to investigate the effects of cytokine interactions in the immune response of SLE patients. Overexpressed interferon-inducible(IFI) genes were confirmed in peripheral blood from SLE patients. Using network-based analysis on the immune response-related genes, several networks including cytokines such as TNF and IFN-γ, or beta-estradiol(E2), were constructed. TNF-regulated genes were dominant in these networks but in vitro TNF stimulation on PBMCs showed no different responses in the expressions of these genes between SLE and healthy individuals. Co-stimulating experiments by TNF, IFN-γ, and E2 with IFN-α, revealed that TNF has repressive while IFN-γ essentially has synergistic effect with IFN-α on IFI gene expressions in vitro. E2 showed different effects on IFI gene expressions among 3 individuals. Peripheral blood was obtained from patients with SLE (n=11) and healthy women (n=6). Gene expression profile was analyzed using DNA microarray covering 30,000 human genes. Differentially expressed immune response-related genes were selected and analyzed by using Expression Analysis Systemic Explorer (EASE) based on Gene Ontology (GO) followed by network pathway analysis with Ingenuity Pathways Analysis (IPA).
2009-05-31 | E-GEOD-12374 | biostudies-arrayexpress
Project description:Macrophage activation is associated with profound transcriptional reprogramming. Although much progress has been made in the understanding of macrophage activation, polarization and function, the transcriptional programs regulating these processes remain poorly characterized. We stimulated human macrophages with diverse activation signals, acquiring a dataset of 299 macrophage transcriptomes. Analysis of this dataset revealed a spectrum of macrophage activation states extending the current M1 versus M2-polarization model. Network analyses identified central transcriptional regulators associated with all macrophage activation complemented by regulators related to stimulus-specific programs. Applying these transcriptional programs to human alveolar macrophages from smokers and patients with chronic obstructive pulmonary disease (COPD) revealed an unexpected loss of inflammatory signatures in COPD patients. Finally, by integrating murine data from the ImmGen project we propose a refined, activation-independent core signature for human and murine macrophages. This resource serves as a framework for future research into regulation of macrophage activation in health and disease. Illumina: To better understand the transcriptional program of human macrophages a set of different stimuli were used to activate and differentiate human macrophages in vitro. These macrophages were then assessed by transcriptomics and analyzed by different approaches using gene co-regulation analysis, SOM-clustering, hierarchical clustering, reverse network engineering and statistical models such as ANOVA. Affymetrix: To understand the relationship of in vivo macrophages with in vitro stimulations, two alveaolar macrophage datasets GSE13896 (COPD patients, smokers and non-smokers) and GSE2125 (asthmatic patients, smokers and non-smokers) were downloaded and processed together. In total, the combined dataset consists of 12 COPD samples, 15 asthmatic, 49 smoker samples and 39 non-smokers as control. Clustering of the samples (such as correlation network, principal component analysis and hierarchical clustering) and Gene Set Enrichment Analysis was performed on differentially expressed genes from 28 in vitro conditions.
2014-02-13 | E-GEOD-46903 | biostudies-arrayexpress
Project description:Background: Patients with paediatric-onset systemic lupus erythematosus (SLE) often present with more severe clinical courses than adult-onset patients. Although genome-wide DNA methylation (DNAm) profiling has been performed in adult-onset SLE patients, parallel data on paediatric-onset SLE are not available. Therefore, we undertook a genome-wide DNAm study in paediatric-onset SLE patients across multiple blood cell lineages. Methods: The DNAm profiles of four purified immune cell lineages were compared in 16 Chinese patients with paediatric-onset SLE and 13 healthy controls using the Illumina HumanMethylationEPIC BeadChip. The DNAm dataset consisted of 145 samples, including data from CD4+ T cells, CD8+ T cells, B cells, neutrophils and whole blood. Results: Genome-wide DNAm analysis revealed considerable variation in DNAm levels across samples, and as expected, clustering occurred by cell type rather than disease status. Comparison of DNAm in whole blood and within each independent cell lineage identified a consistent pattern of loss of DNAm at 21 CpG sites overlapping 15 genes, which represented a robust, disease-specific DNAm signature for paediatric-onset SLE in our cohort. This DNAm signature shows considerable overlap with that identified in our adult-onset SLE patient cohort, predominantly showing a loss of DNAm and enrichment in genes involved in type I interferon signalling in SLE, regardless of the age of onset. In addition, cell lineage-specific changes, involving both loss and gain of DNAm, were observed in both novel genes and genes with well-described roles in SLE pathogenesis. Conclusion: The SLE-specific DNAm signature has the potential to develop into a diagnostic biomarker for SLE, which is particularly important for paediatric-onset patients, as diagnosing SLE in children can be challenging. This study also highlights the importance of studying DNAm changes in different immune cell lineages rather than only whole blood, since cell type-specific DNAm changes facilitated the elucidation of the cell type-specific molecular pathophysiology of SLE.
2019-02-19 | GSE118144 | GEO
Project description:Objective: To optimize a strategy for identifying gene expression signatures differentiating SLE and anti-neutrophil cytoplasmic antibody-associated vasculitis that provide insight into the pathogenesis and identify biomarkers.<br/> Methods: Forty four vasculitis patients, 13 SLE patients and 25 age and sex-matched controls were enrolled. CD4 and CD8 T cells, B cells, monocytes and neutrophils were isolated from each patient and, together with unseparated peripheral blood mononuclear cells (PBMC), were hybridised to spotted oligonucleotide microarrays. <br/> Results: Using expression data obtained from purified cells we identified a substantial number of differentially expressed genes that were not detectable in the analysis of PBMC. Analysis of purified T cells identified an SLE-associated, CD4 T cell signature consistent with type 1 interferon signalling driving the generation and survival of tissue homing T cells and thereby contributing to disease pathogenesis. Moreover, hierarchical clustering using expression data from purified monocytes provided significantly improved discrimination between the patient groups than that obtained using PBMC data, presumably because the differentially expressed genes reflect genuine differences in processes underlying disease pathogenesis. <br/> Conclusion: The analysis of leucocyte subsets enabled the identification of gene signatures of both pathogenic relevance and with better disease discrimination than those identified in PBMCs. Thus, this approach provides substantial advantages in the search for diagnostic and prognostic biomarkers in autoimmune disease.
2010-06-02 | E-MTAB-145 | biostudies-arrayexpress
Project description:We identified eighty two skin transcripts significantly correlated with the severity of interstitial lung disease (ILD) in systemic sclerosis. These genes separated patients with more sever ILD in unsupervised hierarchical clustering. Pathway analysis revealed pathways involved in extravasation and adhesion of inflammatory cells to endothelium.
2013-07-12 | GSE47162 | GEO
Project description:In anti-neutrophil cytoplasmic antibody-associated vasculitis (AAV) and systemic lupus erythematosus (SLE), glomerulonephritis is a severe kidney complication driven by immune cells, including T cells. However, the mechanisms underlying T cell activation in these contexts remain elusive. Here we report that in patients with AAV and SLE, type I interferon (IFN-I) induces T cell differentiation into interferon-stimulated genes-expressing T (ISG-T) cells, which are characterized by an elevated IFN-I signature, an immature phenotype, and cytotoxicity in inflamed tissue. Mechanistically, IFN-I stimulates the expression of interferon regulatory factor 7 (IRF7) in T cells, which in turn induces granzyme B production. In mice, blocking IFN-I signaling reduces IRF7 and granzyme B expression in T cells, thus ameliorating glomerulonephritis. In parallel, spatial transcriptomic analyses of kidney biopsies from patients with AAV or SLE reveal an elevated ISG signature and the presence of ISG-T cells in close proximity to plasmacytoid dendritic cells, the primary producers of IFN-I. Our results from both patients and animal models thus suggest that IFN-I production in inflamed tissue may drive ISG-T cell differentiation to expand the pool of cytotoxic T cells in autoimmune diseases.
2025-05-05 | GSE296304 | GEO