Identification of Long Non-coding RNA Biomarker of Human Lupus Nephritis Disease Activity
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PROVIDER: EGAS00001007117 | EGA |
REPOSITORIES: EGA
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Project description:Genome-wide alternative splice analysis of RNA from lupus and its severe form lupus nephritis We aimed to explore the genome-wide peripheral blood transcriptome of lupus (SLE) and its severe form lupus nephritis (LN) cases compared to healthy subjects (HC) using high density Affymetrix Human Exon1.0.ST arrays. Analysis revealed 15 splice variants that are differentially expressed between SLE/HC and 99 variants between LN/HC (pâ¤0.05,SI>orâ¤0.5,Benjamin Hochberg-False discovery rate correction). Comparison between LN/SLE revealed 7 variants that are differentially expressed with pâ¤0.05,SI>0.5,Benjamin Hochberg-FDR correction. Pathway analysis of differentially spliced genes revealed 11 significant pathways in SLE and 12 in LN (p<0.05). Analysis of peripheral blood transcriptome revealed signature causative genes that are alternatively spliced, signifying their clinical relevance in the pathophysiology of disease. The extent of differential splicing was found to be higher in LN than in SLE, signifying the need for further in-depth research in the same domain. Present study is the first to reveal the significance of alternative variants in susceptibility to SLE and LN. We analyzed blood from 11 female subjects (5 lupus, 3 lupus nephritis and 3 healthy control) using the Affymetrix Human Exon 1.0 ST platform. Array data was processed by Alt Analyze and Genespring software. No techinical replicates were performed. One of the outiler sample (HC2) was excluded from further analysis.
2016-01-06 | E-GEOD-62764 | biostudies-arrayexpress
Project description:Genome-wide alternative splice analysis of RNA from lupus and its severe form lupus nephritis We aimed to explore the genome-wide peripheral blood transcriptome of lupus (SLE) and its severe form lupus nephritis (LN) cases compared to healthy subjects (HC) using high density Affymetrix Human Exon1.0.ST arrays. Analysis revealed 15 splice variants that are differentially expressed between SLE/HC and 99 variants between LN/HC (p≤0.05,SI>or≤0.5,Benjamin Hochberg-False discovery rate correction). Comparison between LN/SLE revealed 7 variants that are differentially expressed with p≤0.05,SI>0.5,Benjamin Hochberg-FDR correction. Pathway analysis of differentially spliced genes revealed 11 significant pathways in SLE and 12 in LN (p<0.05). Analysis of peripheral blood transcriptome revealed signature causative genes that are alternatively spliced, signifying their clinical relevance in the pathophysiology of disease. The extent of differential splicing was found to be higher in LN than in SLE, signifying the need for further in-depth research in the same domain. Present study is the first to reveal the significance of alternative variants in susceptibility to SLE and LN.
2016-01-06 | GSE62764 | GEO
Project description:Long non-coding RNAs (lncRNAs) are pervasively expressed and have been reported as potential biomarkers and therapeutic targets in various diseases, including systemic lupus erythematosus (SLE). However, there was limited information about lncRNAs expression in kidney tissue with lupus nephritis (LN), a serious complication of SLE. To explore the underlying molecular and cellular mechanisms of lncRNAs during pathogenesis of LN, RNA sequencing (RNA_seq) was performed to determine the lncRNAs and mRNAs expression of kidney tissues from LN (MRL/lpr) and control mouse. We identified 12, 979 novel lncRNAs in mouse. The expression profiles of both mRNA and lncRNA were significant different between LN and control mouse. In particular, both upregulated lncRNAs and mRNAs were more than downregulated ones in kidney tissue of LN mouse. However, GO analysis showed that more downregulated genes were enriched in immune and inflammatory response associated pathway. KEGG analysis showed that both downregulated and upregulated genes were enriched in pathway including SLE pathway, about half of these SLE-assocaited genes were inflammatory factors. Moreover, we found that 2, 181 DElncRNAs potential targeted and regulated expresison of 778 mRNA in kidney tissues of LN. The results showed that 11 DE-LncRNAs targeted and co-expressed with six immune and SLE-assocaited genes. qPCR confirmed that lncRNA Gm20513 would positively regualte the expression of SLE-associated gene H2-Aa. In conclusion, our study demonstrates that lncRNA will influence the progression of LN and will provide some cues for further study of lncRNAs in LN. LncRNA-mRNA regulation network may have important value in LN diagnosis and therapy.
2020-12-30 | GSE153547 | GEO
Project description:We aimed to investigate whether differentially expressed genes are related to lupus nephritis (LN) We then performed gene expression profiling analysis using data obtained from RNA-seq of peripheral blood cell from LN patients
2024-06-14 | GSE232381 | GEO
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.
2017-08-12 | GSE102547 | GEO
Project description:This SuperSeries is composed of the following subset Series: GSE32583: Expression data from lupus NZB/W, NZM2410, NZW/BXSB mouse kidneys prenephritic and nephritic. GSE32591: Expression data from human with lupus nephritis (LN) Refer to individual Series
2012-08-01 | E-GEOD-32592 | biostudies-arrayexpress
Project description:This study was conducted to (1) find deregulation of certain pathways in SLE at multi-omics levels; (2) evaluate the associations among blood coagulation, complement activation, inflammatory responses and SLE disease severity; (3) develop biomarkers to facilitate better the assessment of the likelihood of lupus activity.
2018-10-27 | PXD004443 | Pride
Project description:Nephritis (LN) is a serious manifestation of SLE. Therapeutic studies in mouse LN models do not always predict outcomes of human therapeutic trials, raising concerns about the human relevance of these models. In this study we used an unbiased transcriptional network approach to define similarities and differences between three lupus models and human LN. Affymetrix-based expression profiles were analyzed using Genomatix Bibliosphere software and transcriptional networks were compared using the Tool for Approximate LargE graph matching (TALE). The 20 network hubs (nodes) shared between all three models and human LN reflect key pathologic processes, namely immune cell infiltration/activation, macrophage/dendritic cell activation, endothelial cell activation/injury and tissue remodeling/fibrosis. Each model also shares unique features with human LN. Pathway analysis of the TALE nodes highlighted macrophage/DC activation as a cross-species shared feature. To distinguish which genes and activation pathways might derive from mononuclear phagocytes in the human kidneys the gene expression profile of isolated NZB/W renal mononuclear cells was compared with human LN kidney profiles. Network analysis of the shared signature highlighted NFkappaB1 and PPARgamma as major hubs in the tubulointerstitial and glomerular networks respectively. Key nodes in the renal macrophage inflammatory response form the basis for further mechanistic and therapeutic studies. We used microarrays to analyze the renal transcriptome of three different lupus mouse models, at early stage of lupus and during lupus nephritis. RNA from whole kidneys was extracted and processed for hybridization on Affymetrix microarrays.
2012-08-01 | E-GEOD-32583 | biostudies-arrayexpress
Project description:The goal is to discover novel circulating immune complexes (ICx) in the serum of Lupus Nephritis (LN) as potential biomarkers. Protein A/G magnetic beads or C1q-coated plates were used to capture ICx in the serum of LN, followed by the identification of immunoglobulin-binding proteins using liquid chromatography and tandem mass spectrometry (LC-MS/MS). Six related genomic-level databases were used for selecting potential biomarkers, following ELISA validation with independent samples.
2022-05-20 | PXD031069 | Pride
Project description:Nephritis (LN) is a serious manifestation of SLE. Therapeutic studies in mouse LN models do not always predict outcomes of human therapeutic trials, raising concerns about the human relevance of these models. In this study we used an unbiased transcriptional network approach to define similarities and differences between three lupus models and human LN. Affymetrix-based expression profiles were analyzed using Genomatix Bibliosphere software and transcriptional networks were compared using the Tool for Approximate LargE graph matching (TALE). The 20 network hubs (nodes) shared between all three models and human LN reflect key pathologic processes, namely immune cell infiltration/activation, macrophage/dendritic cell activation, endothelial cell activation/injury and tissue remodeling/fibrosis. Each model also shares unique features with human LN. Pathway analysis of the TALE nodes highlighted macrophage/DC activation as a cross-species shared feature. To distinguish which genes and activation pathways might derive from mononuclear phagocytes in the human kidneys the gene expression profile of isolated NZB/W renal mononuclear cells was compared with human LN kidney profiles. Network analysis of the shared signature highlighted NFkappaB1 and PPARgamma as major hubs in the tubulointerstitial and glomerular networks respectively. Key nodes in the renal macrophage inflammatory response form the basis for further mechanistic and therapeutic studies. We used microarrays to analyze the transcriptome of microdissected renal biopsies from patients with lupus nephritis (LN) RNA from glomeruli and tubulointerstitial compartments was extracted and processed for hybridization on Affymetrix microarrays.
2012-06-27 | E-GEOD-32591 | biostudies-arrayexpress