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Transcriptomic microRNA profiling of dendritic cells in response to gut microbiota secreted vesicles

ABSTRACT: Transcriptomic microRNA profiling of dendritic cells in response to gut microbiota secreted vesicles

PROVIDER: PRJNA603478 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR10974403.fastq.gz	Fastqsanger.gz
	SRR10974404.fastq.gz	Fastqsanger.gz
	SRR10974405.fastq.gz	Fastqsanger.gz
	SRR10974406.fastq.gz	Fastqsanger.gz
	SRR10974407.fastq.gz	Fastqsanger.gz

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Transcriptomic microRNA profiling of dendritic cells in response to gut microbiota secreted vesicles

Project description:Extracellular membrane vesicles (MVs) released by gut microbiota are key players in the communication with the host. Next-generation sequencing of small RNAs was used to quantify miRNA expression in monocyte-derived dendritic cells after 24 h-stimulation with MVs isolated from two E. coli intestinal isolates, the probiotic E. coli strain Nissle 1917 (EcN) and the commensal ECOR12. Analysis revealed miRNAs differentially expressed in response to MVs compared to immature control dendritic cells (log2fold-change > 0.7 and padj < 0.001). A common set of miRNAs was modulated by MVs from both strains (46 downregulated, 75 upregulated). In addition, these vesicles elicited differential expression of specific miRNAs depending on the producer strain (26 downregulated and 23 upregulated by EcN; 48 downregulated and 49 upregulated by ECOR12).

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Transcriptomic microRNA Profiling of Dendritic Cells in Response to Gut Microbiota-Secreted Vesicles.

Project description:The interconnection between nutrients, metabolites and microbes is a key factor governing the healthy/pathological status of an individual. Thus, microbiota-based research is essential in order to better understand human health and nutrition. Gut bacteria release membrane vesicles (MVs) as an intercellular communication mechanism that allows the direct delivery of factors that prime the host's innate immune system. We have previously shown that MVs from intestinal E. coli activate dendritic cells (DCs) in a strain-specific manner. To gain insights into the regulatory mechanisms involved, here, we have used an RNA deep sequencing approach to identify differentially expressed miRNAs (microRNAs) in DCs which are challenged by the MVs of the probiotic Nissle 1917 (EcN) or the commensal ECOR12. MicroRNAs are post-transcriptional regulatory mediators that permit the fine tuning of signaling pathways. This approach allowed the identification of a common set of miRNAs which are modulated by MVs from both strains and miRNAs which are differentially expressed in response to EcN or ECOR12 MVs. Based on the differential expression of the target genes and subsequent validation experiments, we correlated some of the selected miRNAs with the reported cytokine profile and specific T cell responses. As far as we know, this is the first study to analyze the regulation of miRNAs in DCs by MVs released by gut microbiota.

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Differential microRNA profiles of intramuscular and secreted extracellular vesicles in human tissue-engineered muscle

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Differential microRNA profiles of intramuscular and secreted extracellular vesicles in human tissue-engineered muscle

Project description:Exercise affects the expression of microRNAs (miR/s) and muscle-derived extracellular vesicles (EVs). To evaluate sarcoplasmic and secreted miR expression in human skeletal muscle in response to exercise-mimetic contractile activity, we utilized a three-dimensional tissue-engineered model of human skeletal muscle (“myobundles”). Myobundles were subjected to three culture conditions: no electrical stimulation (CTL), chronic low frequency stimulation (CLFS), or intermittent high frequency stimulation (IHFS) for 7 days. RNA was isolated from myobundles and from extracellular vesicles (EVs) secreted by myobundles into culture media; miR abundance was analyzed by miRNA-sequencing. We used edgeR and a within-sample design to evaluate differential miR expression and Pearson correlation to evaluate correlations between myobundle and EV populations within treatments with statistical significance set at p<0.05. Numerous miRs were differentially expressed between myobundles and EVs; 116 miRs were differentially expressed within CTL, 3 within CLFS, and 2 within IHFS. Additionally, 25 miRs were significantly correlated (18 in CTL, 5 in CLFS, 2 in IHFS) between myobundles and EVs. Electrical stimulation resulted in differential expression of 8 miRs in myobundles and only 1 miR in EVs. Several KEGG pathways, known to play a role in regulation of skeletal muscle, were enriched, with differentially overrepresented miRs between myobundle and EV populations identified using miEAA. Together, these results demonstrate that in vitro exercise-mimetic contractile activity of human engineered muscle affects both their expression of miRs and number of secreted EVs. These results also identify novel miRs of interest for future studies of the role of exercise in organ-organ interactions in vivo

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