Changes in macrophage transcriptome associate with systemic sclerosis and mediate GSDMA contribution to disease risk
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE104174 | GEO | 2018/03/06
REPOSITORIES: GEO
Similar Datasets
Project description:Background: Circulating periostin levels are increased in systemic sclerosis (SSc) patients and correlates positively with disease severity. Additionally, monocytes/macrophages are one of the key cells in SSc pathogenesis. However, the effect of periostin on immune cells, particularly monocytes and macrophages, has not been well investigated. Objectives: To examine the effect of periostin on monocytes and monocyte-derived macrophages (MDMs) in SSc. Methods: Monocytes were purified from blood samples of nine diffuse cutaneous SSc patients and five healthy controls (HCs) and were differentiated into macrophages. Cell surface markers were assessed by flow cytometry. RNA sequencing analysis was performed on recombinant periostin-stimulated monocytes from three HCs. Cytokine/chemokine and extracellular matrix (ECM) protein expressions in MDMs differentiated supplemented with recombinant periostin were assessed by quantitative real-time polymerase chain reaction and bead-based immunoassays in six HCs. Moreover, we evaluated whether periostin was involved in monocyte migration by Transwell assay. Results: The modified Rodnan total skin thickness score correlated positively with the proportion of CD80-CD206+ M2 cells. The M2 macrophage proportion was reduced in rPn-stimulated MDMs in HCs, but not in SSc patients. mRNA expression levels of pro-fibrotic cytokine, chemokine, and ECM protein genes were significantly upregulated in recombinant periostin-stimulated monocytes and MDMs as compared to those from control monocytes and MDMs. Similar trends for their protein levels were also observed in MDMs. Moreover, the ratio of migrated cells in recombinant periostin-stimulated monocytes was significantly higher than that in control monocytes.
2022-09-22 | GSE213614 | GEO
Project description:ObjectivesSeveral common and rare risk variants have been reported for systemic sclerosis (SSc), but the effector cell(s) mediating the function of these genetic variants remains to be elucidated. While innate immune cells have been proposed as the critical targets to interfere with the disease process underlying SSc, no studies have comprehensively established their effector role. Here we investigated the contribution of monocyte-derived macrophages (MDMs) in mediating genetic susceptibility to SSc.MethodsWe carried out RNA sequencing and genome-wide genotyping in MDMs from 57 patients with SSc and 15 controls. Our differential expression and expression quantitative trait locus (eQTL) analysis in SSc was further integrated with epigenetic, expression and eQTL data from skin, monocytes, neutrophils and lymphocytes.ResultsWe identified 602 genes upregulated and downregulated in SSc macrophages that were significantly enriched for genes previously implicated in SSc susceptibility (P=5×10-4), and 270 cis-regulated genes in MDMs. Among these, GSDMA was reported to carry an SSc risk variant (rs3894194) regulating expression of neighbouring genes in blood. We show that GSDMA is upregulated in SSc MDMs (P=8.4×10-4) but not in the skin, and is a significant eQTL in SSc macrophages and lipopolysaccharide/interferon gamma (IFNγ)-stimulated monocytes. Furthermore, we identify an SSc macrophage transcriptome signature characterised by upregulation of glycolysis, hypoxia and mTOR signalling and a downregulation of IFNγ response pathways.ConclusionsOur data further establish the link between macrophages and SSc, and suggest that the contribution of the rs3894194 risk variant to SSc susceptibility can be mediated by GSDMA expression in macrophages.
| S-EPMC5890626 | biostudies-literature
Project description:Systemic sclerosis-associated interstitial lung disease (SSc-ILD) is the leading cause of death in patients with systemic sclerosis (SSc) with unclear pathogenesis and limited treatment options. Evidence strongly supports an important role for profibrotic, SPP1-expressing macrophages in SSc-ILD. We sought to define the transcriptome and chromatin structural changes of SPP1 SSc-ILD macrophages, so as to better understand their role in promoting fibrosis and to identify transcription factors associated with open chromatin driving their altered phenotype.
2022-09-02 | GSE212109 | GEO
Project description:In this study, early infection by F. graminearum was characterized in a doubled-haploid population derived from the cross of the moderately FHB resistant wheat genotypes Wuhan 1 and Nyubai. Three significant QTL were identified: 1AL was associated with reduced deoxynivalenol levels, and 4BS and 5A were associated with reduced F. graminearum levels at 2 days after infection. The early resistance alleles for 1AL and 4BS were inherited from Wuhan 1, and those for the 5A QTL were inherited from Nyubai. The LOD support interval for the 5A QTL was in the same region as FHB5, a QTL previously associated with field resistance to FHB. Cis and trans eQTL were identified using RNA sequencing data from infected head samples. In total, 240 cis eQTL and 17,401 trans eQTL were identified within LOD support intervals for the three QTL. Hotspots for trans eQTL were identified within LOD support intervals for the 1AL and 4BS QTL. Differential gene expression analysis revealed twenty genes with cis eQTL within one of the 3 QTL support intervals, that had higher expression associated with FHB early resistance, and 17 genes with higher expression associated with FHB early susceptibility. Among those, genes with a cis eQTL peak coinciding with QTL peaks were enriched in functions related to signaling and protein-protein interaction, including NBS-LRR, BAH, LRR/F-box and TPR domain-containing proteins. Several genes located within one of the three QTL support intervals also had a trans eQTL with a peak at the same position as QTL peaks on other chromosomes, suggesting interactions between the QTL.
2019-11-13 | GSE123548 | GEO
Project description:Systemic sclerosis (SSc) is an autoimmune disease characterized by clinical heterogeneity, multi-organ involvement, and complex genetic risk. Here, we report the first multi-tissue meta-analysis of ten independent SSc gene expression datasets. We identify a common immune-fibrotic expression axis across all tissues that is associated with the most severe disease phenotypes. The coexpression patterns conserved across tissues and phenotypes were used to query functional genomic networks, which allowed us to identify common and tissue-specific disease drivers. We find evidence of pro-fibrotic macrophages (MØs) in SSc end-target organs. Prominent genes in the skin functional genomic network are associated with SSc genetic risk and are modulated by immunosuppressive treatment in clinical improvers. These data suggest the interactions between T lymphocytes and MØs are a critical driver of disease and implicate MØs as central to SSc pathogenesis. In total, this study presents a mechanism for fibrosis in SSc end-target tissues, a set of putative therapeutic targets for modulating SSc, and a framework for multi-tissue functional genomic studies of complex human disease.
2017-01-01 | GSE76806 | GEO
Project description:We used microarrays and a previously established linkage map to localize the genetic determinants of brain gene expression for a backcross family of lake whitefish species pairs (Coregonus sp.). Our goals were to elucidate the genomic distribution and sex-specificity of brain expression QTL (eQTL) and to determine the extent to which genes controlling transcriptional variation may underlie adaptive divergence in the recently evolved dwarf (limnetic) and normal (benthic) whitefish. We observed a sex-bias in transcriptional genetic architecture, with more eQTL observed in males, as well as divergence in genome location of eQTL between sexes. Hotspots of nonrandom aggregations of up to 32 eQTL in one location were observed. We identified candidate genes for species pair divergence involved with energetic metabolism, protein synthesis, and neural development based on co-localization of eQTL for these genes with eight previously identified adaptive phenotypic QTL and four previously identified outlier loci from a genome scan in natural populations. 88% of eQTL-phenotypic QTL co-localization involved growth rate and condition factor QTL, two traits central to adaptive divergence between whitefish species pairs. Hotspots co-localized with phenotypic QTL in several cases, revealing possible locations where master regulatory genes, such as a zinc finger protein in one case, control gene expression directly related to adaptive phenotypic divergence. We observed little evidence of co-localization of brain eQTL with behavioral QTL, which provides insight on the genes identified by behavioral QTL studies. These results extend to the transcriptome level previous work illustrating that selection has shaped recent parallel divergence between dwarf and normal lake whitefish species pairs and that metabolic, more than morphological differences appear to play a key role in this divergence. Keywords: eQTL mapping, gene expression, linkage mapping, adaptive radiation, Coregonus, microarrays
2008-09-01 | GSE12068 | GEO
Project description:Transcriptional profiling of primary monocyte derived macrophages (MDMs) comparing control untreated MDMs with MDMs exposed with Serotype 2 Streptococcus pneumoniae (D39) strain (MOI 10) for 3 hours) Three-condition experiment, control MDMs vs. D39 infected MDMs vs Stop infected MDMs. Biological replicates: 3 control replicates, 3 infected D39 replicates and 3 infected penumolysin deficient (STOP) MOI 10.
2021-03-01 | E-MTAB-9055 | biostudies-arrayexpress
Project description:To characterize the genetic basis of hybrid male sterility in detail, we used a systems genetics approach, integrating mapping of gene expression traits with sterility phenotypes and QTL. We measured genome-wide testis expression in 305 male F2s from a cross between wild-derived inbred strains of M. musculus musculus and M. m. domesticus. We identified several thousand cis- and trans-acting QTL contributing to expression variation (eQTL). Many trans eQTL cluster into eleven ‘hotspots,’ seven of which co-localize with QTL for sterility phenotypes identified in the cross. The number and clustering of trans eQTL - but not cis eQTL - were substantially lower when mapping was restricted to a ‘fertile’ subset of mice, providing evidence that trans eQTL hotspots are related to sterility. Functional annotation of transcripts with eQTL provides insights into the biological processes disrupted by sterility loci and guides prioritization of candidate genes. Using a conditional mapping approach, we identified eQTL dependent on interactions between loci, revealing a complex system of epistasis. Our results illuminate established patterns, including the role of the X chromosome in hybrid sterility.
2014-05-01 | GSE54089 | GEO
Project description:We used microarrays and a previously established linkage map to localize the genetic determinants of brain gene expression for a backcross family of lake whitefish species pairs (Coregonus sp.). Our goals were to elucidate the genomic distribution and sex-specificity of brain expression QTL (eQTL) and to determine the extent to which genes controlling transcriptional variation may underlie adaptive divergence in the recently evolved dwarf (limnetic) and normal (benthic) whitefish. We observed a sex-bias in transcriptional genetic architecture, with more eQTL observed in males, as well as divergence in genome location of eQTL between sexes. Hotspots of nonrandom aggregations of up to 32 eQTL in one location were observed. We identified candidate genes for species pair divergence involved with energetic metabolism, protein synthesis, and neural development based on co-localization of eQTL for these genes with eight previously identified adaptive phenotypic QTL and four previously identified outlier loci from a genome scan in natural populations. 88% of eQTL-phenotypic QTL co-localization involved growth rate and condition factor QTL, two traits central to adaptive divergence between whitefish species pairs. Hotspots co-localized with phenotypic QTL in several cases, revealing possible locations where master regulatory genes, such as a zinc finger protein in one case, control gene expression directly related to adaptive phenotypic divergence. We observed little evidence of co-localization of brain eQTL with behavioral QTL, which provides insight on the genes identified by behavioral QTL studies. These results extend to the transcriptome level previous work illustrating that selection has shaped recent parallel divergence between dwarf and normal lake whitefish species pairs and that metabolic, more than morphological differences appear to play a key role in this divergence. Keywords: eQTL mapping, gene expression, linkage mapping, adaptive radiation, Coregonus, microarrays The objective of this study was to elucidate the genomic distribution and sex-specificity of brain eQTL in dwarf and normal lake whitefish. Dissected brain tissue (250-350 mg) was sampled for 55 individuals from a hybrid x dwarf backcross mapping family. We used a loop design (YANG and SPEED 2002; CHURCHILL 2002) to maximize the number of sampled meioses. Each of 55 samples was technically replicated on two distinct slides, while performing dye swapping (Cy3 and Alexa) to estimate the dye intensity variation bias. After correcting for local background, raw intensity values were both log2 transformed and normalized using the regional LOWESS method implemented in the R/MANOVA software (KERR et al. 2000). We used a previously generated linkage map based on the same backcross individuals for which gene expression was measured. eQTL mapping was performed with QTL Cartographer.
2008-09-01 | E-GEOD-12068 | biostudies-arrayexpress
Project description:Systemic scleroderma (SSc) is an autoimmune disease which results in fibrotic production in the lung. Resultant SSC-pulmonary fibrosis is the main cause of mortality among SSc patients. From high throughput RNAi screening, we uncovered the ubiquitin E3 ligase KLHL42 as a potential pro-fibrotic mediator of TGFb-dependent fibrotic signaling in primary SSc lung fibroblasts. In this analysis, we sought to uncover putative substrates for KLHL42 by comparing SSc lung fibroblasts with control or KLHL42 siRNA prior to TGFb-treatment, lysis, and TUBE precipitation. The resultant pull-down was analyzed with LC-MS/MS.
2020-01-14 | MSV000084800 | MassIVE