RNA-seq of synovial biopsies from rheumatoid arthritis patients
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ABSTRACT: Synovial biopsies from rheumatoid arthritis patients were obtained and profiled using RNA-seq. Patients were stratified according to the number of swollen joints they had (SJC, swollen joint count) and divided in three groups for the differential expression analysis: None (SJC = 0), Low (1<= SJC <= 8), High (SJC > 8).
Project description:Synovial biopsies from rheumatoid arthritis patients were obtained and profiled using bisulfite-seq for whole-genome DNA methylation. Patients were stratified according to the number of swollen joints they had (SJC, swollen joint count) and divided in three groups for the differential expression analysis: None (SJC = 0), Low (1<= SJC <= 8), High (SJC > 8).
Project description:In osteoarthritis (OA) and rheumatoid arthritis (RA), many pathological alterations result from aberrant macrophage hyperactivation in the inflamed synovial membrane, and inhibition of macrophage effector functions is a therapeutic strategy in both diseases. Little is known, about the specific genetic circuits that are differentially deregulated in RA and OA macrophages. microRNA (miR) are short single stranded non-coding RNAs involved in the post-transcriptional regulation of gene expression. Altered expression of miRs has been described under various pathological conditions, including rheumatic and other autoimmune diseases. Here we compared the miR expression profile in macrophages isolated from OA and RA patients miR expression in OA and RA macrophages was analyzed using Exiqon miRCURY microarrays. Three biological replicates (patients) were analyzed. Two samples (RA vs OA) were hybridized per microarray.
Project description:Partial remission (PR) occurs in only half of patients with new-onset type 1 diabetes (T1D) and correspond to a transient period characterized by low daily insulin needs, low glycemic fluctuations and increased endogenous insulin secretion. While identification of newly-onset T1D patients with significant residual beta-cell function may foster patient-specific interventions, reliable predictive biomarkers of PR occurrence currently lack. We analyzed the plasma of children with new-onset T1D to identify biomarkers present at diagnosis that predicted PR at 3 months post-diagnosis. We first performed an extensive shotgun proteomic analysis using Liquid Chromatography-Tandem-Mass-Spectrometry (LCMS/MS) on the plasma of 16 children with new-onset T1D and quantified nearly 1500 unique proteins with 98 significantly correlating with Insulin-Dose Adjusted glycated hemoglobin A1c score (IDAA1C). We next applied a series of both qualitative and statistical filters that yielded to the selection of 26 protein candidates that were associated to pathophysiological mechanisms related to T1D. Finally, we translationally validated several of the candidates using single-shot targeted proteomic (PRM method) on raw plasma. Taken together, we identified plasmatic biomarkers present at diagnosis that may predict the occurrence of PR in a single mass-spectrometry run. We believe that the identification of new predictive biomarkers of PR and β-cell function is key to stratify patients with new-onset T1D for β-cell preservation therapies
Project description:This SuperSeries is composed of the following subset Series: GSE25083: Global hypomethylation identifies loci targeted for hypermethylation in head and neck cancer: normal head and neck tissue GSE25089: Global hypomethylation identifies loci targeted for hypermethylation in head and neck cancer: HNSCC GSE25091: Global hypomethylation identifies loci targeted for hypermethylation in head and neck cancer: blood controls Refer to individual Series
Project description:Genome-wide DNA methylation profiling of head and neck squamous cell carcinomas. The Illumina Infinium 27k Human DNA methylation BeadChip v1.2 was used to obtain DNA methylation profiles across approximately 27,000 CpGs in fresh-frozen tumor tissues. Samples included 91 tumors from the oralpharynx and larynx, reflecting all stages of disease, 18 normal head and neck National Disease Research Interchange (NDRI) samples, and 213 normal control blood samples. Bisulphite-converted DNA from the 18 normal head and neck samples were hybridized to the Illumina Infinium 27k Human Methylation Beadchip v1.2.
Project description:Genome-wide DNA methylation profiling of head and neck squamous cell carcinomas (HNSCCs). The Illumina Infinium 27k Human DNA methylation BeadChip v1.2 was used to obtain DNA methylation profiles across approximately 27,000 CpGs in fresh-frozen tumor tissues. Samples included 91 tumors from the oralpharynx and larynx, reflecting all stages of disease, 18 normal head and neck National Disease Research Interchange (NDRI) samples, and 213 normal control blood samples. Bisulphite-converted DNA from the 91 head and neck squamous cell carcinoma samples were hybridized to the Illumina Infinium 27k Human Methylation Beadchip v1.2.
Project description:Genome-wide DNA methylation profiling of head and neck squamous cell carcinomas (HNSCCs). The Illumina Infinium 27k Human DNA methylation BeadChip v1.2 was used to obtain DNA methylation profiles across approximately 27,000 CpGs in fresh-frozen tumor tissues. Samples included 91 tumors from the oralpharynx and larynx, reflecting all stages of disease, 18 normal head and neck National Disease Research Interchange (NDRI) samples, and 213 normal control blood samples. Bisulphite-converted DNA from the 213 control blood samples were hybridized to the Illumina Infinium 27k Human Methylation Beadchip v1.2.
Project description:In Sub-Saharan Africa, Anopheles gambiae Giles (Diptera: Culicidae) largely contributes to malaria transmission, in direct relation to environmental conditions influencing the vector ecology. Therefore, our study aimed to compare the proteomes of An. gambiae according to varying insecticide pressures associated to cotton crops also integrating different population origins from two climatic regions of Burkina Faso.
Project description:Rheumatoid arthritis (RA) is an autoimmune disease affecting approximately 0.5% of the global population. Despite its prevalence, there is no known cure, underscoring the persistent need for novel therapeutic strategies. In previous studies, we identified a specific subset of antibodies that target an epitope (F4) on type-II collagen (COL2), which seemed to offer protection against arthritis. Leveraging these findings, we have engineered a range of recombinant antibodies against this epitope. Notably, one such antibody, R69-4, has shown significant potential in suppressing arthritis. Here, we aim to identify potential cross-reactive targets of R69-4 to better understand its mechanism of action.
Project description:Objectives: Proteolytic cartilage loss is a major mechanism of osteoarthritis (OA) pathogenesis but few joint breakdown biomarkers are currently available. We sought to determine the overlap of proteolytic peptides in OA cartilage and synovial fluid on a proteome-wide scale with the goals of increasing the biomarker repertoire and for attribution to individual proteases. Design: Proteins isolated from matched human OA cartilage and synovial fluid from 5 knees were analyzed by N-terminomics using Terminal Amine Isotopic Labeling of Substrates (TAILS), comprising labeling and enrichment of protein N-termini, high-resolution mass spectrometry and bioinformatics. Cartilage was digested with ADAMTS5, MMP13 and CMA1, and TAILS was used to identify their specific activities. Results: Analysis of matched knee OA cartilage and synovial fluid degradomes consistently demonstrated cartilage breakdown products in synovial fluid. Of over 20,000 cleaved peptides in the OA cartilage and synovial fluid degradomes, 677, originating from 153 proteins, were present in all samples, the majority arising from cartilage. ADAMTS5, MMP13 and CMA1 digestion of cartilage identified numerous cleavage sites for each protease, distinct cleavage site preferences, and peptides arising from the activities of these proteases in synovial fluid. Conclusions: Cartilage ECM-derived proteolytic fragments are consistently present in synovial fluid, many attributable to ADAMTS5, MMP13 and CMA1 activity, which showed little overlap with each other or the previously determined HtrA1activity profile. The present work increases the proteolytic biomarker space for OA investigation, showing that diverse proteases contribute to cartilage destruction, and that their individual contributions can be determined using multiple protease-specific biomarkers.