High-throughput Sequencing of exosomal lncRNAs and circRNAs in large artery atherosclerosis stroke
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PROVIDER: PRJNA726874 | ENA |
REPOSITORIES: ENA
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Project description:Purpose: This study aimed to explore the differential expression profiles of exosomal lncRNAs and evaluated their potential utility in the accurate diagnosis of LAA stroke. Methods: LncRNA profiles of exosomes in large artery atherosclerosis stroke and controls were generated by high-throughput sequencing. The sequence reads that passed quality filters were analyzed at the transcript isoform level with Hisat2, Trapnell, STAR. qRT–PCR validation was performed using TaqMan and SYBR Green assays. Results: A total of 1020 differentially expressed lncRNAs were identified in LAA stroke patients. GO and KEGG pathway analyses indicated that their target genes are involved in atherosclerosis-related pathways, including inflammation, cell adhesion, and cell migration. 8 exosomal lncRNAs were confirmed with qRT–PCR.The result showed that the expression trend of differential expressed lncRNAs in validation was consistent with RNA-seq.Conclusion: Our study showed the differential expression of lncRNAs in plasma exosomes and presented related diagnostic potential for LAA stroke for the first time. The results suggested that exosomal lncRNA could be potential diagnostic tools in LAA stroke. Circular RNAs (circRNAs), novel endogenous noncoding RNAs, play diverse roles in ischemic stroke. Recently, the abundance and stability of circRNAs in exosomes have been identified. However, a comprehensive analysis of exosomal circRNAs in large artery atherosclerotic (LAA) stroke has not yet been reported. We performed RNA sequencing (RNA-Seq) to comprehensively identify differentially expressed exosomal circRNAs in five paired LAA and normal controls. RNA-Seq identified a total of 462 circRNAs in peripheral exosomes; there were 25 differentially expressed circRNAs among them. Additionally, circRNA competing endogenous RNA (ceRNA) network and translatable analysis revealed the potential functions of the exosomal circRNAs in LAA progression. Two ceRNA pathways involving 5 circRNAs, 2 miRNAs, and 3 mRNAs were confirmed by qRT-PCR. In the validation cohort, receiver operating characteristic (ROC) curve analysis identified two circRNAs as possible novel biomarkers, and a logistic model combining two and four circRNAs increased the area under the curve compared with the individual circRNAs.
2021-06-08 | GSE173719 | GEO
Project description:Exosomal circRNA sequencing was used to identify differentially expressed circRNAs between LAA stroke and normal controls. From a further validation stage, the results were validated using RT-qPCR.
2022-02-02 | GSE190869 | GEO
Project description:High-throughput Sequencing of exosomal circRNAs in large artery atherosclerotic stroke
| PRJNA788768 | ENA
Project description:Circular RNAs (circRNAs) are a recently discovered non-coding RNA isoform capable of regulating neurological disease incidence. The present study was designed to characterize the circRNA expression profiles present in large-artery atherosclerosis (LAA)-type acute ischemic stroke patients. Using a RNA-seq approach, we characterized circRNA expression profiles in 5 LAA-stroke patients and 4 controls. We identified 182 and 176 circRNAs that were up- and down-regulated, respectively, in LAA-stroke patients relative to controls. Enrichment analyses suggested these differentially expressed circRNAs to primarily be associated with chromatin modification, autophagy, platelet activation, and neural precursor cell proliferation.
2021-12-31 | GSE161913 | GEO
Project description:Altered lncRNAs transcriptomic profiles in atherosclerosis-induced ischemic stroke
| PRJNA612294 | ENA
Project description:Background: Ischemic stroke is a disease with high rate of death and disability worldwide. This study investigated key circRNAs related to ischemic stroke. Methods: Three ischemic stroke patients and three healthy individuals were included in the current study to obtain the circRNA expression profiles by RNA sequencing. Through bioinformatic analysis, differentially expressed circRNAs (DEcircRNAs) were identified, and GO and pathway analyses for the host genes of DEcircRNAs were conducted. To further explore the functions of key circRNAs, a DEcircRNA-miRNA interaction network was constructed. Finally, the expression levels of selected circRNAs were validated with qRT-PCR. Results: A total of 736 DEcircRNAs were detected in ischemic stroke. Functional annotation of host genes of DEcircRNAs revealed several significantly enriched pathways, including Fc epsilon RI signaling pathway, B cell receptor signaling pathway, and T cell receptor signaling pathway. A circRNA-miRNA network, including 1544 circRNA-miRNA pairs, 456 circRNAs and 4 miRNAs, was obtained. The qRT-PCR results were largely in keeping with our RNA-seq data. Conclusion: The results of our study may help to elucidate the specific mechanism underlying ischemic stroke.
2021-06-24 | GSE178764 | GEO
Project description:CircRNA sequencing for 10 samples To assess the serum exosomal circular RNAs (circRNAs) expression profile and explore the potential functions in human colorectal cancer (CRC).The differentially expressed circRNAs profiles of CRC (n=5) and age-matched healthy controls(n=5) were analyzed using RNA-seq profiling. Quantitative real-time PCR was used to validate the expression pattern of circRNAs.Bioinformatic tools including network analysis, Gene ontology, and KEGG pathway analysis were utilized.
2020-05-15 | GSE149200 | GEO
Project description:Aims: Exosomes exist in almost all body fluid and contain diverse biological contents which may be reflective of disease state. Circular RNAs (CircRNAs) are stable in structure and have a long half-life in exosomes without degradation, thus making them reliable biomarkers. However, the potential of exosomal circRNAs as biomarkers of coronary artery disease (CAD) remains to be established. Here we aimed to investigate the expression levels and the potential use of exosomal circRNAs as diagnostic biomarkers of CAD. Main methods: CircRNAs expression levels in exosomes obtained from three plasma samples from CAD patients and three paired controls were analyzed using RNA sequencing. Exosomal circRNAs obtained in the profiling phase were then verified in two-center validation cohorts. Finally, the ability of exosomal circRNAs, adjusting for Framingham Heart Study (FHS) risk factors, was determined to discriminate between CAD patients and non-CAD controls. Key findings: 355 circRNAs were differentially expressed between these two groups: 164 were upregulated, and 191 were downregulated. Here we selected potential circRNAs (fold change > 4, P < 0.05) as candidate biomarkers for further validation. Our data showed that only hsa_circ_0005540 was significantly associated with CAD (P < 0.0001). After adjustment for risk factors, hsa_circ_0005540 showed a high discriminatory power for CAD in ROC analyses (AUC = 0.853; 95% confidence interval [CI] = 0.799 - 0.906, P < 0.001). Significance: Our results suggest that plasma exosomal hsa_circ_0005540 can be used as a promising diagnostic biomarker of CAD.
2020-07-20 | GSE152498 | GEO
Project description: Not available
| S-EPMC8257506 | biostudies-literature
Project description:Sequencing of serum exosomal circRNAs in colorectal cancer
| PRJNA627650 | ENA