MiRNA NGS of serum exosome in heat stroke patients
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA728875 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR14494480_1.fastq.gz | Fastqsanger.gz | |||
| SRR14494480_2.fastq.gz | Fastqsanger.gz | |||
| SRR14494481_1.fastq.gz | Fastqsanger.gz | |||
| SRR14494481_2.fastq.gz | Fastqsanger.gz | |||
| SRR14494482_1.fastq.gz | Fastqsanger.gz |
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Project description:We report the differential expression of miRNA in serum exosome of heat strok patints. Compared with those from healthy volunteers, exosomes from patients with HS showed substantial changes in the expression of 202 exosomal miRNAs (154 upregulated and 48 downregulated miRNAs). The most upregulated miRNAs included miR-511-3p, miR-122-5p, miR-155-3p, miR-1290, and let7-5p, whereas the most downregulated ones included miR-150-3p, 146a-5p, and 151a-3p. Gene ontology enrichment of the miRNAs of patients with HS compared with control subjects were associated mostly with inflammatory response, including T cell activation, B cell receptor signaling, dendritic cell chemotaxis and leukocyte migration, and platelet activation and blood coagulation. The identified miRNAs were primarily enriched to the signal transduction pathways namely, T cell receptor signaling, Ras signaling, chemokine signaling, platelet activation, and leukocyte transendothelial migration, all of which are associated with inflammation and hemostasis. Multiple targeted mRNAs associated with the inflammatory response, blood coagulation, and platelet activation were further verified in serum exosomes. Exosomes from patients with HS convey miRNAs and mRNAs associated with pathogenic pathways, including inflammatory response and coagulation cascade. Exosomes may represent a novel mechanism for intercellular communication during HS.
2021-06-14 | GSE174224 | GEO
Project description:Murine cells: MSC+LLC-serum-exosome vs LLC-serum-exosome
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Project description:Purpose: Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways. The goals of this study are to compare NGS-derived retinal transcriptome profiling (RNA-seq) to microarray and quantitative reverse transcription polymerase chain reaction (qRT–PCR) methods and to evaluate protocols for optimal high-throughput data analysis Methods: The serum microvesicles of five acute ischemic stroke (AIS) and healthy controls was purified using Ribo™ Exosome Isolation Reagent (C10110-2, RIBOBIO, Guangzhou, China) and analyzed by flow cytometry and nanoparticle tracking analysis (NTA).The miRNA expression profiles of serum microvesicles of five acute ischemic stroke (AIS) and healthy controls were detected by RNA-seq using llumina HiSeqTM 2500. Results: Using an optimized data analysis workflow, 732 miRNA species were detected in total. The levels of 51 individual miRNA species were significantly different between AIS patients and healthy controls. Conclusions: Our study represents the first detailed analysis of miRNA expression profiles of serum microvesicles in AIS and healthy controls, generated by RNA-seq technology. The optimized data analysis workflows reported here should provide a framework for comparative investigations of expression profiles. Our results show that NGS offers a comprehensive and more accurate quantitative and qualitative evaluation of miRNA content in serum microvesicles. We conclude that RNA-seq based non-coding RNA characterization would expedite genetic network analyses and permit the dissection of complex biologic functions.
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Project description:The serum miRNAs were correlated with predicted the incidence of stroke.
2019-05-31 | GSE117064 | GEO
Project description:Heat stroke is a life-threatening condition characterized by loss of thermoregulation and severe elevation of core body temperature, which can cause organ failure and damage to the central nervous system. While no definitive test exists to measure heat stroke severity, immune challenge is known to increase heat stroke risk, although the mechanism of this increased risk is unclear. In this study, we used a mouse model of classic heat stroke to test the effect of immune challenge on pathology. Employing multivariate supervised machine learning to identify patterns of molecular and cellular markers associated with heat stroke, we found that prior viral infection simulated with poly I:C injection resulted in heat stroke presenting with high levels of factors indicating coagulopathy. Despite a decreased number of platelets in the blood, platelets are large and non-uniform in size, suggesting younger, more active platelets. Levels of D-dimer and soluble thrombomodulin were increased in more severe heat stroke, and in cases presenting with the highest level of organ damage markers D-dimer levels dropped, indicating potential fibrinolysis-resistant thrombosis. Genes corresponding to immune response, coagulation, hypoxia, and vessel repair were up-regulated in kidneys of heat-challenged animals, and these increases correlated with both viral treatment and distal organ damage while appearing before discernible tissue damage to the kidney itself. We conclude that heat stroke-induced coagulopathy may be a driving mechanistic force in heat stroke pathology, especially when exacerbated by prior infection, and that coagulation markers may serve as an accessible biomarker for heat stroke severity and therapeutic strategies.
2020-05-15 | GSE129188 | GEO
Project description:Does heat stroke induces heat intolerance?: What genes tell us
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Project description:Serum miRNA-based risk prediction for stroke
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Project description:HepaCur™serum from liver humanized FRG®KO mice was obtained from Yecuris and subsequently sent to System Biosciences for Exo-NGS exosomal RNA-sequencing. Exosome isolation and subsequent RNA-sequencing were performed by System Biosciences.
2021-03-10 | GSE165350 | GEO
Project description:To further development of our miRNA diagnostic approach to Kawasaki disease(KD), we have employed microRNA microarray expression profiling as a discovery platform to identify microRNAs as the potential biomarkers to rapidly diagnose Kawasaki disease. Pooled exosome of serum in equal amount from 5 healthy children, 5 KD patients and 5 KD patients after Intravenous immunoglobulin (IVIG) therapy were used for microRNA microarray analysis. MicroRNA profile of exosome from Kawasaki disease(KD) was analyzed by microRNA microarray analysis in 5 healthy children, 5 KD patients and 5 KD patients after IVIG therapy.
2014-09-03 | E-GEOD-60965 | biostudies-arrayexpress
Project description:Background: We and others have previously demonstrated the potential for circulating exosome microRNAs to aid in disease diagnosis. In this study, we sought the possible utility of serum exosome microRNAs as biomarkers for disease activity in multiple sclerosis patients in response to fingolimod therapy. We studied patients with relapsing-remitting multiple sclerosis prior to and 6 months after treatment with fingolimod. Methods: Disease activity was determined using gadolinium-enhanced magnetic resonance imaging. Serum exosome microRNAs were profiled using next-generation sequencing. Data were analysed using univariate/multivariate modelling and machine learning to determine microRNA signatures with predictive utility. Results: we identified 15 individual miRNAs that were differentially expressed in serum exosomes from post-treatment patients with active versus quiescent disease. The targets of these microRNAs clustered in ontologies related to the immune and nervous systems, and signal transduction. While the power of individual microRNAs to predict disease status post-fingolimod was modest (average 77%, range 65 to 91%), several combinations of 2 or 3 miRNAs were able to distinguish active from quiescent disease with greater than 90% accuracy. Further stratification of patients identified additional microRNAs associated with stable remission, and a positive response to fingolimod in patients with active disease prior to treatment. Conclusions: Overall, these data underscore the value of serum exosome microRNA signatures as non-invasive biomarkers of disease in multiple sclerosis and suggest they may be used to predict response to fingolimod in future clinical practice. Additionally, these data suggest that fingolimod may have mechanisms of action beyond its known functions.
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