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Gene expression profile in CD14+ monocytes in patients with SSc or healthy controls (part 3)

ABSTRACT: To clarify the role of monocyte in the pathogenesis of SSc, we analyzed gene and protein expression in monocyte from SSc and healthy controls in order to identify the molecules which were associated with pathogenesis of SSc.

ORGANISM(S): Homo sapiens

PROVIDER: GSE44998 | GEO | 2013/03/12

SECONDARY ACCESSION(S): PRJNA192812

REPOSITORIES: GEO

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Gene expression profile in CD14+ monocytes in patients with SSc or healthy controls (part 1)

Project description:To clarify the role of monocyte in the pathogenesis of SSc, we analyzed gene and protein expression in monocyte from SSc and healthy controls in order to identify the molecules which were associated with pathogenesis of SSc. After the screeining using gene and protein expression profiles, functional role of the candidate molecules were further analyzed to clarify the role in the pathogenesis of SSc.

2013-03-12 | E-GEOD-44996 | biostudies-arrayexpress

Gene expression profile in CD14+ monocytes in patients with SSc or healthy controls (part 3)

2013-03-12 | E-GEOD-44998 | biostudies-arrayexpress

Gene expression profile in CD14+ monocytes in patients with SSc or healthy controls (part 2)

2013-03-12 | E-GEOD-44997 | biostudies-arrayexpress

Gene expression profile in CD14+ monocytes in patients with SSc or healthy controls (part 1)

2013-03-12 | GSE44996 | GEO

Gene expression profile in CD14+ monocytes in patients with SSc or healthy controls (part 2)

2013-03-12 | GSE44997 | GEO

Transcriptome analysis of CD14+ monocytes from SSc patients

Project description:Purpose: To compare transcriptome profile of CD14+ blood monocytes from systemic sclerosis (SSc) patients and healthy controls. Methods: CD14+ monocytes were isolated from peripheral blood of lcSSc (n=5, age=54.4±6.7), dcSSc patients (n=5, age=51.8±7.2) and age- and sex-matched healthy controls (HC) (n=5, age=50.8±9.7). Total RNA was isolated and polyA libraries were prepared using TruSeq Stranded mRNA kit. Next Generation Sequencing was performed using Illumina HiSeq 4000 platform. Differentially expressed genes were computed using DESeq2 algorithm. Results: We detected 1440 differentially expressed genes between dcSSc vs HC and 225 between lcSSc and HC respectively (p≤0.01; log2 ratio≥0.5, Fig 1). Among those, in dcSSc 1076 were upregulated (e.g. MMP9, IL1R2, FLT3, MIF, TLR9) and 364 were downregulated (e.g. TGFBR1, CD44, CD244, HLA-DRA, HLA-G). In lcSSc 160 transcripts were upregulated (e.g. CCL2, WNT5B, MMP17) and 65 were downregulated (e.g. KLF11, IRAK2). We identified 123 commonly deregulated genes between SSc subgroups (e.g. CCL3, CD14, IL27, MMP17). Principal component analysis showed close clustering within SSc subgroups and clear separation from healthy controls. Pathway analysis revealed alterations in several biological processes important in fibrogenesis including antigen presentation, MIF-induced immune responses, TGF-β, NOTCH and WNT signalling pathways. qPCR analysis further confirmed differences in gene expression on mRNA level (n HC=8, n SSc=25, p≤0.05). Conclusions: To our knowledge, this is the first global transcriptome analysis of peripheral blood CD14+ monocytes in SSc. Our results suggest a primary activation of monocytes in peripheral blood, which might be further translated into novel cellular biomarker of the disease and potentially used for distinguishing between responders and non-responders to a novel treatment in future clinical trials.

2021-09-10 | GSE157840 | GEO

Transcriptome analysis of CD14+ monocytes from SSc patients

Project description:Transcriptome analysis of CD14+ monocytes from SSc patients

| PRJNA662949 | ENA

Gene expression profile in CD14+ monocytes in patients with SSc or healthy controls

Project description:This SuperSeries is composed of the SubSeries listed below.

2013-03-12 | GSE44999 | GEO

Gene expression profile in CD14+ monocytes in patients with SSc or healthy controls

Project description:This SuperSeries is composed of the SubSeries listed below. Refer to individual Series

2013-03-12 | E-GEOD-44999 | biostudies-arrayexpress

Periostin may act on monocytes and monocyte-derived macrophages with a pro-fibrotic phenotype in patients with systemic sclerosis (SSc)

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

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