RNA Sequencing reveals transcriptome profiling of HUVECs in response to NETs ± defibrotide
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ABSTRACT:
PROVIDER: PRJNA745193 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR15089849_1.fastq.gz | Fastqsanger.gz | |||
| SRR15089849_2.fastq.gz | Fastqsanger.gz | |||
| SRR15089850_1.fastq.gz | Fastqsanger.gz | |||
| SRR15089850_2.fastq.gz | Fastqsanger.gz | |||
| SRR15089851_1.fastq.gz | Fastqsanger.gz |
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Project description:We reported the application of RNA sequecing to broadly understand the pathways associated with HUVECs exposed to vehicle, NETs, or NETs + defibrotide. We identified 440 differentially expressed genes (300 upregulated) in HUVECs upon NET stimulation as compared with vehicle. Conversely, there were 229 differentially expressed genes (192 downregulated) when the NETs + defibrotide group was compared to NETs alone.
2021-10-13 | GSE179828 | GEO
Project description:Neutrophils are necessary in mamalian’s life and are the most abundant type of white blood cells in humans with biological roles relevant to inflammation and the entire host response. The release of neutrophil extracellular DNA in innate immune cells provides specific response to bacteria and fungi. Neutrophil Extracellular Traps (NETs) act as antimicrobial agents and activators of immune response through release of the nuclear content into the extracellular space. Although great strides have been made in dissecting cellular and molecular pathways that control NET formation, the exact molecular composition of released NETs has not been elucidated. Here, we open the field of NETOMIC studies through isolation of NETs in combination with shotgun genomics and proteomics. This study reveals the molecular composition of NETs and specific expression regions of NETs induced in a sterile inflammation system. The existence of an in vitro NET isolation model allowed for an unprecedented amount of replicability. Additional studies are needed to verify the specificity of these sequences in the context of human health and disease upon diverse neutrophil microbial challenges.
2022-10-25 | PXD016143 | Pride
Project description:Transcriptome sequencing of HUVECs
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Project description:Gastroenteropancreatic neuroendocrine tumors (GEP-NETs) are rare and heterogeneous tumors presenting a wide spectrum of different clinical and biological characteristics. In these tumors, the histological evaluation is a crucial element of clinical management. Currently, tumor grading, determined by Ki-67 staining and mitotic counts, is the most reliable predictor of prognosis. This scoring method is time-consuming and a high reproducibility cannot be achieved. Novel approaches are needed to support histological evaluation and prognosis. In this study, starting from a microarray analysis, we defined the miRNAs signature for poorly differentiated NETs (G3) compared to well differentiated NETs (G1 and G2) consisting of 56 deregulated miRNAs. Moreover, we identified 8 miRNAs that were expressed in all GEP-NETs grades but at different level. Among these miRNAs, we found miR-96-5p that raised its expression levels from grade 1 to grade 3; inversely, its target FOXO1 was decrease from grade 1 to grade 3. Our results reveal that the miRNAs expression profile of GEP-NET correlates their expression with grading showing a potential advantage of miRNA quantification to aid clinicians in the classification of common GEP-NETs subtypes.
2020-08-04 | GSE135034 | GEO
Project description:Purpose: We found neutrophil extracellular traps (NETs) can affect the differentiation of naïve CD4+ T cells. This sequencing aims to explore the gene profile change of neutrophil extracellular traps (NETs) on naïve CD4+ T cells. Methods: Total RNA was extracted from the T cells treated with NETs or vehicle for 72h and send to sequencing. Sequencing libraries were generated using NEBNext®UltraTMRNA Library Prep Kit for Illumina® (NEB, USA) and sequenced on an Illumina platform. Paired-end reads were then generated and evaluated for quality control. Clean raw data with high quality were aligned to the reference genome using the Spliced Transcripts Alignment to a Reference (STAR) software. For quantification, FeatureCouts was used to count the read numbers mapped of each gene. Differential expression analysis between two groups (three biological replicates per condition) was performed using DESeq2 R package. Results: Using an optimized data analysis workflow, we mapped around 40 million sequence reads per sample with total mapping rate around 96%. Total 23,249 transcripts in the NETs and Vehicle group were identified. Approximately 7% of the transcripts (1675) showed differential expression between the with p value <0.05. Top differential expressed genes were then enriched based on KEGG and GO database. Altered expression genes in the most enrichment pathways were confirmed with qRT–PCR and western blot, demonstrating the high degree of sensitivity of the RNA-seq method. The top differential expressed genes provide new insigts for the mechanism of T cell differentiation affected by NETs. Conclusions: Our study represents the first detailed analysis of naïve CD4+ T cells treated with NETs. Most differentital expressed genes were enriched in metabolic pahtways, which prompted us to further explore the related mechanism of the novel phenotype.
2021-12-10 | GSE161464 | GEO
Project description:Transcriptome analysis reveals the gene expression profile in 17,18-EEQ treated HUVECs
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Project description:We analyzed the global effect of SOX9 overexpression by sequencing the transcriptomes of HUVECs transduced with SOX9 expression plasmid or an empty vector control.
2022-06-15 | GSE155290 | GEO
Project description:Neutrophil extracellular traps (NETs) promote inflammation and atherosclerosis progression. In diabetes they are increased and impair wound healing, during which inflammation normally resolves. Atherosclerosis regression, a process resembling wound healing, is also impaired in diabetes. Thus, we hypothesized that NETs impede atherosclerosis regression in diabetes through unresolved inflammation. Objective: To investigate in diabetes the effect of NETs on plaque macrophage inflammation and whether NETs reduction improves atherosclerosis regression. Findings: Transcriptomic profiling of plaque macrophages from NET positive and negative areas in Ldlr-/- mice revealed inflammasome and glycolysis pathway upregulation, indicating a pro-inflammatory phenotype. During atherosclerosis regression in non-diabetic mice, plaque NET content decreased. In contrast, in diabetic mouse plaques NETs were enriched and persisted after lipid-lowering. DNase1 treatment (to degrade NETs) of diabetic mice reduced plaque NETs and macrophage inflammation and improved atherosclerosis regression after lipid-lowering. Conclusions: NETs decline during atherosclerosis regression in non-diabetic mice, but persist in diabetes and impair regression by exacerbating macrophage inflammation. DNase1 reduced diabetic plaque NETs and macrophage inflammation, and restored atherosclerosis resolution after lipid-lowering, despite ongoing hyperglycemia. Given that humans with diabetes also exhibit impaired atherosclerosis resolution with lipid-lowering, these data suggest that NETs contribute to the increased CVD risk in this population.
2020-05-12 | GSE145200 | GEO
Project description:We analyzed SOX9 binding and the global effect of SOX9 overexpression on chromatin accessibility and enrichment of histone modifications (H3K4me1, H3K27ac, H3K27me3, H3S28P) by CUT&RUN, CUT&Tag, and ATAC-seq of HUVECs transduced with SOX9 expression plasmid or an empty vector control.
2022-06-15 | GSE155282 | GEO