Serum exosome small RNA array analysis identifies 5'tiRNA-PheGAA and tRF-1-IleAAT as potential biomarkers for rheumatoid arthritis
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE293754 | GEO | 2025/04/08
REPOSITORIES: GEO
Similar Datasets
Project description:Transfer-RNA-Derived Small RNA (tsRNA) is a novel class of short non-coding RNA including stress-induced tRNA fragments (tiRNA) and tRNA-derived fragments (tRF). Using RNA sequencing, we evaluated the tsRNA expression profiles in the serum of sarcoidosis (n = 3) compared with healthy control group (n = 3). Bioinformatics analyses indicated that tsRNAs were the important regulators and potential new biomarkers of sarcoidosis.
2022-03-15 | GSE198490 | GEO
Project description:Rheumatoid arthritis (RA) is a chronic, inflammatory joint disease of unknown etiology and pronounced inter-patient heterogeneity. To characterize RA at the molecular level and to uncover key pathomechanisms, we performed whole-genome gene expression analyses. Synovial tissues from rheumatoid arthritis patients were compared to those from osteoarthritis patients and to normal donors. Keywords: disease state analysis
2004-11-04 | GSE1919 | GEO
Project description:Rheumatoid arthritis (RA) is a heterogeneous disease. We used cDNA microarray technology to subclassify RA patients and disclose disease pathways in rheumatoid synovium. Hierarchical clustering of gene expression data identified two main groups of tissues (RA-I and RA-II). A total of 121 genes were significantly higher expressed in the RA-I tissues, whereas 39 genes were overexpressed in the RA-II tissues. Among the 121 genes overexpressed in RA-I tissues, a relative majority of nine genes are located on chromosome 6p21.3. An interpretation of biological processes that take place revealed that the gene expression profile in RA-I tissues is indicative for an adaptive immune response. The RA-II group showed expression of genes suggestive for fibroblast dedifferentiation. Within the RA-I group, two subgroups could be distinguished; the RA-Ia group showed predominantly immune-related gene activity, while the RA-Ib group showed an additional higher activity of genes indicative for the classical pathway of complement activation. All tissues except the RA-Ia subgroup showed elevated expression of genes involved in tissue remodeling. These results confirm the heterogeneous nature of RA and suggest the existence of distinct pathogenic mechanisms that contribute to RA. The differences in expression profiles provide opportunities to stratify patients based on molecular criteria. An all pairs experiment design type is where all labeled extracts are compared to every other labeled extract. Using regression correlation
2005-12-14 | E-GEOD-3824 | biostudies-arrayexpress
Project description:Rheumatoid arthritis (RA) is a heterogeneous disease. We used cDNA microarray technology to subclassify RA patients and disclose disease pathways in rheumatoid synovium. Hierarchical clustering of gene expression data identified two main groups of tissues (RA-I and RA-II). A total of 121 genes were significantly higher expressed in the RA-I tissues, whereas 39 genes were overexpressed in the RA-II tissues. Among the 121 genes overexpressed in RA-I tissues, a relative majority of nine genes are located on chromosome 6p21.3. An interpretation of biological processes that take place revealed that the gene expression profile in RA-I tissues is indicative for an adaptive immune response. The RA-II group showed expression of genes suggestive for fibroblast dedifferentiation. Within the RA-I group, two subgroups could be distinguished; the RA-Ia group showed predominantly immune-related gene activity, while the RA-Ib group showed an additional higher activity of genes indicative for the classical pathway of complement activation. All tissues except the RA-Ia subgroup showed elevated expression of genes involved in tissue remodeling. These results confirm the heterogeneous nature of RA and suggest the existence of distinct pathogenic mechanisms that contribute to RA. The differences in expression profiles provide opportunities to stratify patients based on molecular criteria. An all pairs experiment design type is where all labeled extracts are compared to every other labeled extract. Keywords: all_pairs
2005-12-15 | GSE3824 | GEO
Project description:Rheumatoid arthritis (RA) is a chronic autoinflammatory disorder that affects small joints. Despite intense efforts, there isno definitive marker yet for early diagnosis RA and for monitoring the progression of this disease. We sought to catalog the proteins present in the synovial fluid of patients with rheumatoid arthritis. To identify lower abundance proteins, we undertook two approaches – we depleted the abundant proteins using a multiple affinity removal system (MARS14) column and we enriched glycoproteins using a lectin affinity column. The peptides were analyzed by LC-MS/MS on a high resolution Fourier transform mass spectrometer.
2016-06-13 | PXD000740 | Pride
Project description:Malondialdehyde-modified epitopes (MDA-epitopes) can elicit specific autoantibody that expressed oxidative stress arising in rheumatoid arthritis (RA). The purpose of this study was to discover and validate MDA-peptide adducts as novel biomarkers using concanavalin A affinity chromatography, 1D SDS-PAGE, in-gel digestion, and label-free nano-LC-MS, and evaluate levels of serum MDA, MDA-protein adducts, proteins and autoantibody isotypes against an unmodified and MDA-peptide from Taiwanese female patients with RA and healthy controls (HCs). Levels of serum MDA and MDA-protein adducts were significantly higher in RA patients versus HCs. Four differentially expressed novel MDA-peptides were selected that relative modification ratio were 2-fold differences to examine protein levels and assess autoantibodies to MDA-peptides in RA patients compared with HCs. Four of peptides are autoantigens. Furthermore, 4 MDA-peptides can induce more autoantibody isotypes that are statistical significance in RA patients compared to HCs. Serum IgG and IgM against MDA-peptides showed excellent diagnostic performance in discriminating among RA patients and HCs: area under the curve (AUC, 0.96 ~ 0.98), sensitivity (88.9% ~ 97.8%) and specificity (88.9% ~ 100%). Autoantibodies to MDA-epitopes indicate oxidative modifications occurring in RA, and might be useful as clinical markers fro RA diagnosis if further investigated.
2021-02-25 | PXD004546 | Pride
Project description:Synovial biopsies were obtained from rheumatoid arthritis (RA) synovium and from subjects without a joint disease to find gene upregulated during RA. The promoters of genes upregulated during RA compared to HC can be used to obtain disease-regulated gene therapy.
2016-01-27 | GSE77298 | GEO
Project description:The transcriptome of PBMC from rheumatoid arthritis patient hasn't been compenhensively profiled, and heterogeneous characteristics of blood monocytes in RA patients are much unknown. We performed the single cell transcriptomic analysis of PBMC from rheumatoid arthritis (RA) patient, and monocyte populations were extracted during the analysis. CD127 expression associated expression pattern of inflammatory genes was identified in RA patient's blood monocytes.
2020-11-10 | GSE159117 | GEO
Project description:To identify susceptibility genes concerning copy number variations (CNVs) in rheumatoid arthritis (RA), a case-control genome-wide CNV analyses was carried out by Roche Nimblegen array-based CGH. In this study, 15 RA patients and 1 control (Non-RA) were included.
2010-06-09 | GSE22108 | GEO
Project description:miRNA differential expression in Rheumatoid arthritis(RA) blood: Microarray analysis of miRNAs in blood from RA and healthy donors.
2016-09-06 | GSE18097 | GEO