Microglia in ischemic brain injury
Transcriptomics Dataset
FAIR Metrics
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General Information
AccessionGSE18602
TitleMicroglia in ischemic brain injury
DescriptionMicroglia are resident CNS immune cells that are active sensors in healthy brain and versatile effectors under pathological conditions. Cerebral ischemia induces a robust neuroinflammatory response that includes marked changes in the gene expression and phenotypic profile of a variety of endogenous CNS cell types (astrocytes, neurons, microglia) as well as an influx of leukocytic cells (neutrophils, macrophages, T-cells) from the periphery. Many molecules and conditions can trigger a transformation of resting (or surveying) microglia to an activated (alerted/reactive) state. Here we review recent developments in the literature that relate to microglial activation in the experimental setting of in vitro and in vivo ischemia. We also present new data from our own laboratory demonstrating the direct effects of in vitro ischemic conditions on the microglial phenotype and genomic profile. Emphasis is placed on the role of specific molecular signaling systems such as hypoxia inducible factor-1 (HIF-1) and toll-like receptor-4 (TLR4) in regulating the microglial response in this setting. We then review histological and recent novel radiological data that confirms a key role for microglial activation in the setting of ischemic stroke in humans. We discuss recent progress in the pharmacological and molecular targeting of microglia in acute ischemic stroke. Finally, we explore how recent studies on ischemic preconditioning have increased interest in preemptively targeting microglial activation in order to reduce stroke severity.
Landing Pagehttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE18602
RepositoryGene Expression Omnibus
Tools used to analyze the dataset

Keyword
Dataset Accession

Enrichr
Published May 2016
A comprehensive gene set enrichment analysis web server 2016 update
7759
65
Characteristic Direction
Published March 2014
A geometrical multivariate approach to identify differentially expressed genes
26829
GeneMANIA
Published June 2010
Biological network integration for gene prioritization and predicting gene function
7435
L1000CDS2
Published August 2016
An ultra-fast LINCS L1000 Characteristic Direction signature search engine
7756
PAEA
Published November 2015
Enrichment analysis tool implementing the principal angle method
3879
Canned Analyses generated with the dataset

Dataset Accession
Tool Name
Direction
Geneset

Small molecules which mimic TLR4 KO
The L1000 database was queried in order to identify small molecule perturbations which mim...
Small molecules which reverse TLR4 KO
The L1000 database was queried in order to identify small molecule perturbations which rev...
Enrichment analysis of genes dysregulated in TLR4 KO
An enrichment analysis was performed on the top most dyresgulated genes determined by appl...
Interaction network and enrichment analysis of genes downregulated in TLR4 KO
The analysis explores the gene interaction network and pathway enrichment of the top 50 mo...
Interaction network and enrichment analysis of genes upregulated in TLR4 KO
The analysis explores the gene interaction network and pathway enrichment of the top 50 mo...
Enrichment analysis of genes downregulated in TLR4 KO
An enrichment analysis was performed on the top 500 most downregulated genes identified by...
Enrichment analysis of genes upregulated in TLR4 KO
An enrichment analysis was performed on the top 500 most upregulated genes identified by a...
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