MiR-155 promotes blood-brain barrier dysfunction in neuroinflammation (part 1)
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE44692 | GEO | 2014/04/29
SECONDARY ACCESSION(S): PRJNA191030
REPOSITORIES: GEO
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Project description:Here, we investigated the time-course changes in the pattern of microRNA (miRNA) expression of TNFα and IFNγ-stimulated and unstimulated hCMEC/D3 cells, an immortalized human cerebral microvascular endothelial cell line. In order to investigate pro-inflammatory cytokine-induced changes in miRNA levels in hCMEC/D3 cells, we challenged brain endothelial cells with TNFα and IFNγ (100 ng/ml) for 2 h, 6 h and 24 h and determined microRNA expression in cytokine-stimulated and unstimulated cells
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Project description:Over-expression of miR-155 induces changes in the pattern of gene expression of hCMEC/D3 cells. hypothesis tested in the present study was that miR-155 constitute an important regulatory control of the brain endothelial response to inflammatory cytokines. To identify miR-155 target genes in brain endothelim that might be implicated in BBB dysfunction relevant to human disease, we then analysed changes in mRNA expression of hCMEC/D3 cells that overexpress miR-155 and results were contrasted to cells transfected with scrambled miR. To ectopically express miR-155 in hCMEC/D3 cells, 30 nM of pre-miR-155 and the siPORT Amine transfection agent (Applied Biosystems, Warrington, UK) were combined following the manufacturerM-bM-^@M-^Ys instructions.
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Project description:Functional and structural dysfunction of the blood brain barrier (BBB) leads to severe alterations in brain physiology and is believed to trigger neurodegeneration. To investigate the molecular mechanisms driving the BBB dysfunction, very few human BBB cell culture models are available; of which, the human microvascular endothelial cell line (hCMEC/D3) is the most widely used. Thus far, array-based approaches or targeted seqeuncing based approaches have been employed to characterize the gene expression of the hCMEC/D3 model. However,The goal of this study is to perform deep transcriptomic sequencing of the BBB cell line and obtain features like gene expression, expressed single nucleotide variants, alternate splice forms, circular RNAs, long non-coding RNAs and micro RNAs. We have developed blood brain barriers transcriptomics landscape using RNA sequencing and micro RNA seqeuncing data obtained from replicates of hCMEC/D3 BBB cell line.
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Project description:Functional and structural dysfunction of the blood brain barrier (BBB) leads to severe alterations in brain physiology and is believed to trigger neurodegeneration. To investigate the molecular mechanisms driving the BBB dysfunction, very few human BBB cell culture models are available;of which, the human microvascular endothelial cell line (hCMEC/D3) is the most widely used. Thus far, array-based approaches or targeted seqeuncing based approaches have been employed to characterize the gene expression of the hCMEC/D3 model. However,The goal of this study is to perform deep transcriptomic sequencing of the BBB cell line and obtain features like gene expression, expressed single nucleotide variants, alternate splice forms, circular RNAs, long non-coding RNAs and micro RNAs. We have developed blood brain barriers transcriptomics landscape using RNA and micro RNA sequencing data obtained from replicates of hCMEC/D3 BBB cell line.
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Project description:Functional and structural dysfunction of the blood brain barrier (BBB) leads to severe alterations in brain physiology and is believed to trigger neurodegeneration. To investigate the molecular mechanisms driving the BBB dysfunction, very few human BBB cell culture models are available;of which, the human microvascular endothelial cell line (hCMEC/D3) is the most widely used. Thus far, array-based approaches or targeted seqeuncing based approaches have been employed to characterize the gene expression of the hCMEC/D3 model. However,The goal of this study is to perform deep transcriptomic sequencing of the BBB cell line and obtain features like gene expression, expressed single nucleotide variants, alternate splice forms, circular RNAs, long non-coding RNAs and micro RNAs.
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Project description:Endothelial cells (ECs) are constantly submitted in vivo to hemodynamical forces derived from the blood circulation, including shear stress (SS). EC are able to detect SS and consequently adapt their phenotype, thus affecting many endothelial functions. If a plethora of shear stress-regulated molecular networks have been described in peripheral EC, less is known about the molecular responses of microvascular brain ECs which constitute the blood-brain barrier (BBB). In this work, we investigated the response of human cerebral microvascular ECs to laminar physiological shear stress using the well characterized hCMEC/D3 cell line. Interestingly, we showed that hCMEC/D3 cells responded to shear stress by aligning perpendicularly to the flow direction, contrary to peripheral endothelial cells which aligned in the flow direction. Whole proteomic profiles were compared between hCMEC/D3 cells cultured either in static condition or under 5 or 10 dyn.cm-2 SS for three days. 3592 proteins were identified and expression levels were significantly affected for 3% of them upon both SS conditions. Pathway analyses were performed which revealed that most proteins overexpressed by SS refer to the antioxidant defense, probably mediated by activation of the NRF2 transcriptional factor. Regarding down-regulated proteins, most of them participate to the pro-inflammatory response, cell motility and proliferation. These findings confirm the induction of EC quiescence by laminar physiological SS and reveal a strong neuroprotective effect of SS on hCMEC/D3 cells, suggesting a similar effect on the BBB. Our results also showed that SS did not significantly increase expression levels nor did it affect the localization of junctional proteins or the functional activity of several ABC transporters (P-glycoprotein and MRPs). This work provides new insights on the response of microvascular brain EC to SS and on the importance of SS for optimizing in vitro BBB models.
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