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E-MTAB-8008

ABSTRACT: Transcriptome analysis of human brain microvascular endothelial cells response to Neisseria meningitidis and its antigen MafA using RNA-seq

PROVIDER: E-MTAB-8008 | ExpressionAtlas | 2025-01-23

REPOSITORIES: ExpressionAtlas

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			Action	DRS
	E-MTAB-8008-analysis-methods.tsv	Tabular
	E-MTAB-8008-analytics.tsv	Tabular
	E-MTAB-8008-atlasExperimentSummary.Rdata	Rdata
	E-MTAB-8008-configuration.xml	Xml
	E-MTAB-8008-g3_g1-mvaPlot.png	Other

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Transcriptome analysis of human brain microvascular endothelial cells response to Borrelia burgdorferi and its antigen Erp23 using RNA-seq

Project description:Transcriptome analysis of human brain microvascular endothelial cells response to Borrelia burgdorferi and its antigen Erp23 using RNA-seq

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Transcriptome analysis of human brain microvascular endothelial cells response to Neisseria meningitidis and its antigen MafA using RNA-seq

Project description:Transcriptome analysis of human brain microvascular endothelial cells response to Neisseria meningitidis and its antigen MafA using RNA-seq

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Transcriptome analysis of human brain microvascular endothelial cells response to Streptococcus pneumoniae and its antigen Adhesion lipoprotein using RNA-seq

Project description:Transcriptome analysis of human brain microvascular endothelial cells response to Streptococcus pneumoniae and its antigen Adhesion lipoprotein using RNA-seq

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mRNAseq of Huntington's disease and control patient iPSC-derived brain microvascular endothelial cells

Project description:Purpose: The goals of this study are to compare the transcriptomic profile (mRNA-seq) of HD and control patient iPSC-derived brain microvascular endotheial cells to identify alterations in gene expression. Methods: RNA were isolated from HD and control iPSC-derived brain microvascular endothelial cells. mRNAseq using Illumina TruSeq mRNA PolyA+ v2 lib prep and HiSeq 2500. Statistical difference in mRNA levels were calculated with subsequent GO and pathway analysis. Results: mRNAseq and statistical analysis revealed differentially expressed genes between HD and control iPSC-derived brain microvascular endothelial cells. Conclusions: Our study shows differentially expressed genes between HD and control iPSC-derived brain microvascular endothelial cells, and reveals gene networks that are relevant to the mechanism of HD pathogenesis.

2017-05-16 | GSE97100 | GEO

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Project description:We used RNA-seq analysis to determine the alteration of transcriptomic profiling in human brain microvascular endothelial cells

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Transcriptome sequencing analysis for NCI-H209 lung tumor cells conditioned by human brain microvascular endothelial cells

Project description:Endothelial cells of blood vessel playing a key role in the metastasis of tumor cells particularly the brain microvascular endothelial cells in the brain-tropic metastasis of lung tumor cells. Currently, studies towards the influence contributed by tumor cells to the alteration of endothelial cells have been extensively conducted by contrast studies for the alteration of gene-expression signature of tumor cells under the influence of endothelial cells remains poorly characterized, thus in this study the transcriptome of the human small-cell lung cancer cell NCI-H209 was sequenced via RNA-Seq after conditioned by human brain microvascular endothelial cell (HBMEC) for characterizing the alteration of gene-expression signature.

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Impact of Neospora caninum infection on the transcriptome of cerebrovascular endothelial cells

Project description:We also used Affymetrix array technology to investigate the global alteration in the gene expression of human brain microvascular endothelial cells (hBMECs) and rat brain microvascular endothelial cells (rBMVECs) in response to N. caninum infection at 24 hours post infection.

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RNA-seq of brain mural cells and microvascular fragments

Project description:Purpose: Pericytes, the mural cells of blood microvessels, have come into focus as regulators of microvascular development and function, but due to paucity of defining markers, the identification and functional characterization of PC remain problematic, and reported data are often controversial. Here, we used a new approach for the isolation of mural cell from mouse brain in combination with RNA-sequencing (RNA-seq) and previously published vascular transcriptome data to assemble a state-of-the-art catalogue of brain mural cell-enriched gene transcripts. Methods: We isolated double positive cells from the brain of Pdgfrb-eGFP/NG2-DsRed transgenic mice using FACS. Cells were lysed, RNA extracted and sequenced with next-generation sequencing (NGS). For comparison, we also determined the transcriptome of brain microvascular fragments (containing both endothelial cells and mural cells) isolated by mechanical tissue disintegration, collagenase digestion and immune-panning using anti-CD31 antibodies coupled to magnetic beads. The reads were aligned to the Ensembl mouse gene assembly (NCBIM37) using Tophat2 software (version 2.0.4). The duplicated reads were removed using the picard tool (version 1.92). To identify the genes significantly enriched in the pericyte samples as compared with microvascular samples, statistical tests were performed using the Cufflinks tool (version 2.2.1) Results: The result showed that mRNA transcripts representing 856 different genes were enriched more than two-fold in FACS isolated Pdgfrb-eGFP/NG2-DsRed double positive cells compared with whole microvascular fragments (False Discovery Rate < 0.05) The RNA from three FACS sorted brain mural cell samples and three whole brain microvascular samples isolated from three animals were processed and sequenced on the Illumina HiSeq 2500 platform in the sequencing facility in Uppsala University.

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