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The transcriptomic profile of the hippocampal microglia in the irradiated juvenile mouse brain

ABSTRACT: The transcriptomic profile of the hippocampal microglia in the irradiated juvenile mouse brain

PROVIDER: PRJNA628980 | ENA |

REPOSITORIES: ENA

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			Action	DRS
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	SRR11634500.fastq.gz	Fastqsanger.gz
	SRR11634501.fastq.gz	Fastqsanger.gz
	SRR11634502.fastq.gz	Fastqsanger.gz
	SRR11634503.fastq.gz	Fastqsanger.gz

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The transcriptomic profile of the hippocampal microglia in the irradiated juvenile mouse brain

Project description:Cranial irradiation (IR), an effective tool to treat malignant brain tumors, triggers a chronic pro-inflammatory microglial response, at least in the adult brain. Using bulk RNA sequencing, we show that the microglial response in the juvenile mouse hippocampus is rapid, but returns toward normal within 1 week. The sensome of irradiated hippocampal microglia reveals an immediate response that declines after one day. Irradiation of the juvenile brain induces a highly ordered temporal progression of the inflammatory and phenotypic microglial genes

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The transcriptomic profile of the hippocampal microglia in the irradiated juvenile mouse brain

Project description:The transcriptomic profile of the hippocampal microglia in the irradiated juvenile mouse brain

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Project description:Whole brain irradiation remains important in the management of brain tumors. Although necessary for improving survival outcomes, cranial irradiation also results in cognitive decline in long-term survivors. A chronic inflammatory state characterized by microglial activation has been implicated in radiation-induced brain injury, and here we present a comprehensive transcriptional profile of irradiated microglia. Fluorescence-activated cell sorting (FACS) was used to isolate CD11b+ microglia from the hippocampi of C57BL/6 and Balb/c mice 1 month after 10Gy cranial irradiation. Affymetrix gene expression profiles were evaluated using linear modeling and rank product analyses. A conserved signature of irradiation was identified across strains, and gene set enrichment analysis was employed to functionally compare our signature to publically available mouse and human datasets.

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