Systemic Lupus Erythematosus patient blood with controls
ABSTRACT: The experiment consists of 31 Systemic Lupus Erythematosus patient blood samples and 29 healthy donor blood samples. Overall design: Whole blood was collected in PaxGene tubes from 31 SLE and 29 healthy donors.
Project description:RNA-seq of systemic lupus erythematosus (SLE) whole blood and healthy controls to determine the gene expression changes in these patients. RNA-seq of PAXgene blood from SLE and healthy donors.
Project description:Gene expression profiling of peripheral blood cells from patients with systemic lupus erythematosus (SLE) vs healthy individual (HI). Peripheral blood was obtained from patients with SLE (n=21) and HI (n=45). Blood samples from 45 HI are used as control.
Project description:The goal of this study was to characterize gene expression profiles in RNP autoantibody+ SLE versus healthy blood donors with a focus on select cytokines that may be important in B cell activation and differentiation, including BAFF, IL-21, and IL-33. We utilized Affymetrix microarrays to characterize the global program of gene expression in the SLE patients, and to identify differentially expressed genes in patients compared to healthy controls. We examined a cohort of 79 consecutive patients classified as anti-ribonuclear protein (anti-RNP)+ systemic lupus erythematosus (SLE). All patients provided RNA samples obtained after providing informed consent. There were 73 female and 6 male subjects. Disease duration ranged from 0 to 453 months with a median of 37.5 months. SLE Disease Activity Index (SLEDAI) ranged from 0 to 31 with a median of 6. mRNA from the blood of a SLE cohort (79 patients with some repeat visits for a total of 99 arrays) and 30 healthy volunteers (one array per volunteer) were analyzed.
Project description:Gene expression profiling of peripheral blood cells from patients with systemic lupus erythematosus (SLE) vs healthy individual (HI). Overall design: Peripheral blood was obtained from patients with SLE (n=21) and HI (n=45). Blood samples from 45 HI are used as control.
Project description:To screen specific DNA methylation markers in systemic lupus erythematosus (SLE) patient's blood DNA, whole-blood DNAs from 6 female SLE patients and 6 female controls were analyzed by methylation microarray. Overall design: Twelve whole-blood DNA samples from six SLE patients and six controls were analyzed by Illumina HumanMethylation27 BeadChip.
Project description:Normal donor blood was incubated with or without IFN-g stimulation to establish an IFN-g gene signature. Systemic lupus erythematosus subjects were treated with placebo or AMG 811, a therapeutic anti-IFN--g antibody, and changes in the IFN--g signature in whole blood of these subjects was measured. Blood from healthy volunteers (n=4) was collected into sodium heparin tubes, and then untreated or treated with 294 pM recombinant human IFN-γ for 0, 24, or 48 hours with incubation at 37oC, 5 % CO2. The blood was then added to PAXgene tubes and processed for RNA purification. Twenty six subjects with stable, mild to moderate SLE were administered placebo or a single dose of AMG 811 ranging from 2 mg to 180 mg SC or 60 mg IV. Whole blood PAXgene tube samples were collected from all cohorts at baseline, day-1 (pre-dose), and at days 15, 56, and end of study (EOS) after treatment Arrays were hybridized in a Loop design.
Project description:Recent studies have shown that alterations in the function of dendritic cells (DCs) are involved in the pathogenesis of systemic lupus erythematosus (SLE). However, the role of DCs participating in SLE remains unclear. We profiled the lncRNAs of LPS-stimulated moDCs in SLE patients compared with healthy controls. Overall design: Two-condition experiment, DC (as controls) vs. SLG (as patients with SLE group) cells. Biological replicates: 5 control replicates, 5 patient replicates.
Project description:The diagnosis of Systemic Lupus Erythematosus (SLE) is challenging due to its heterogeneous clinical presentation and lack of robust biomarkers for laboratory testing to distinguish it from other autoimmune or infectious diseases. Current diagnostic criterion relies on a combination of clinical examination and laboratory tests, and it does not readily distinguish between those with active clinical disease from those that are clinically quiescent. Several groups have attempted to apply emerging high throughput profiling technologies to diagnose SLE. Despite showing promising diagnostic potential, many of them are expensive and technically challenging for routine clinical uses. Here we report a pilot study of applying a technically simple and highly customisable leukocyte capture antibody microarray to profile healthy (n=24) and SLE patients (n=60) of various disease activities. Our analysis reveals a set of surface antigen biomarkers that have significant association with SLE. In addition, we present a computational method to calculate a score from the entire microarray profile to obtain a score that correlate most reliably with SLE disease activity. Although the current version of our microarray alone does not match the discriminatory power of the standard laboratory tests (serum dsDNA, complements C3 and C4), the combination of the two yields a test with significantly increased discriminatory ability than what can be achieved individually. This work paves the way for a customised SLE-specific antibody microarray for accurate diagnosis and monitoring of SLE that can be readily translated to routine clinical use. Blood samples were collected from 60 patients of Systemic Lupus Erythematosus (SLE) of different disease activity (11 active, 16 semi-active, and 33 inactive), and compared it with blood samples from 24 healthy blood donors. For each subject, we extracted PBMCs and apply them to a leukocyte capture antibody microarray. The microarray was then scaned by a DotScan™ slide reader (Medsaic; Eveleigh, NSW, Australia). The number of immobilized cells was proportional to the light scattered at each antibody spot. Binding of PBMCs to each antibody dot was monitored by light scatter and averaged between the duplicate spots on each slide. We then performed statistical analysis to identify CD antigen markers that are associated with SLE, as well as determining the potential diagnostic ability of this microarray for SLE.
Project description:Neutrophil Extracellular Traps (NETs) are chromatin-derived extracellular structures that are expelled from neutrophils in response to infectious or inflammatory stimuli. NET DNA structures are decorated with proteins including histones, myeloperoxidase and neutrophil elastase. NETs are implicated in the development of auto-immunity in diseases including rheumatoid arthritis (RA) and systemic lupus erythematosus (SLE) through the externalisation of intracellular neoepitopes e.g. dsDNA and nuclear proteins in SLE and citrullinated peptides in RA. The aim of this work was to use quantitative proteomics to identify and measure NET proteins produced by neutrophils from healthy individuals, and from patients with RA and SLE.
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. Overall design: The human LncRNA microarray analysis of the 9 plasma samples from systemic lupus erythematosus patients and healthy controls