ABSTRACT: Comprehensive circRNAs expression profiling reveals the potential role of circRNAs in systemic lupus erythematosus [Human circRNA Array v2.0]
Project description:Circular RNAs (circRNAs) are a novel class of non-coding RNA and stably conserved in mammalian cells. Although circRNAs have been widely reported in some diseases and tissues, the expression of circRNAs in systemic lupus erythematosus (SLE) have yet to be explored. To reveal the implications of circRNAs in SLE, we used Human circRNA Array v2.0 microarrays to measure the expression profiles of circRNAs in plasma of patients with SLE and healthy controls. A total of 4763 circRNAs were detected in plasma of SLE sample, and 112 circRNAs were identified to be differentially expressed in plasma of SLE patients as compared to healthy controls (fold change >1.5 and P < 0.05), including 53 up-regulated circRNAs and 59 down-regulated circRNAs. Hsa_circRNA_407176, hsa_circRNA_406567 and hsa_circRNA_001308 were established using Real-time quantitative PCR. These results showed abrrant expression profiles of circRNAs in T cells of SLE patients and revealed their potential role in SLE.
Project description:CircRNAs are novel non-coding RNAs which can serve as microRNA sponge and regulate gene transcription through promoting expression of their parent genes or competing with splicing of their parent genes. Moveover, there is increasing evidence showing that aberrant expressions of circRNAs are implicated in various cancers. Yet, their roles in systemic lupus erythematosus (SLE), a prototypical autoimmune disease, remain unknown. To reveal the implications of circRNAs in SLE, we used Human circRNA Array v2.0 microarrays to measure the expression profiles of circRNAs in T cells of patients with SLE and healthy controls. We found 129 differentially expressed circRNAs (fold change >2; P <0.05) in SLE patients compared with controls. Home-made computer program based on TargetScan and miRanda was applied to predict miRNA targets of circRNAs and identify 5 miRNAs with the highest mirSVR score for each circRNA.Downregulation of circRNA hsa_circ_0045272 was established using Real-time quantitative PCR. These results showed abrrant expression profiles of circRNAs in T cells of SLE patients and revealed their potential role in SLE.
Project description:Comprehensive lncRNAs expression profiling reveals the potential role of lncRNAs in systemic lupus erythematosus [Human LncRNA Array v3.0]
Project description:RNase L–mediated rapid degradation of circRNAs is required for PKR activation in innate immune responses and linked to the autoimmune disease systemic lupus erythematosus.
Project description:To identify the circRNA expression profiles in HF patients’ plasma and to evaluate the potential application of circRNAs for HF diagnosis, circRNA microarrays were performed on plasma samples obtained from HF patients and healthy controls. The RNAs of the plasma from the HF and control groups were extracted for microarray analysis. The purified RNAs were hybridized to a microarray (Agilent human circRNA Array V2.0) containing 170,340 human circRNA probes. Quantitative reverse transcription polymerase chain reaction (qRT-PCR) was used to validate the results.
Project description:A comprehensive profiling of the genomic architecture of Systemic Lupus Erythematosus (SLE) by combining genetic and transscriptomic analysis by RNA-seq.
Project description:We performed spatial transcriptomics on a case series of different clinical subtypes of cutaneous lupus erythematosus including acute cutaneous lupus erythematosus (malar rash, systemic lupus erythematosus). Our goals were to (1) determine which differentially expressed genes (DEGs) could be attributed to specific cell populations in specific locations within the tissue, (2) determine if spatial transcriptomics could better distinguish between CLE clinical subtypes than bulk RNA approaches and (3) examine potential cell-cell communication pathways within the skin lesions.
Project description:Our work can be summarized as the establishment of protein-binding database for PARPs family as well as a comprehensive multi-omics analysis to show its potential for pathogenic mechanism study of the PARPs family. We concluded that the pathogenic role of PARPs family extends far more than cancer. Besides potential roles in neuron-degeneration diseases, results from multiple independent bio-informatic analysis indicate several PARP family members may involve in diabetes’ complication and closely related disease like types of hypertension and Systemic lupus erythematosus. The relationship between PARPs and diabetes are supported in recent reports.
