Dataset Information

Gene expression patterns following unilateral traumatic brain injury reveals a local pro-inflammatory and remote anti-inflammatory response

ABSTRACT: Abstract Background Traumatic brain injury (TBI) results in irreversible damage at the site of impact and initiates cellular and molecular processes that lead to secondary neural injury in the surrounding tissue. We used microarray analysis to determine which genes, pathways and networks were significantly altered using a rat model of TBI. Adult rats received a unilateral controlled cortical impact (CCI) and were sacrificed 24h post-injury. The ipsilateral hemi-brain tissue at the site of the injury, the corresponding contralateral hemi-brain tissue, and naïve (control) brain tissue were used for microarray analysis. Ingenuity Pathway Analysis (IPA) software was used to identify molecular pathways and networks that were associated with the altered gene expression in brain tissues following TBI. Results Inspection of the top fifteen biological functions in IPA associated with TBI in the ipsilateral tissues revealed that all had an inflammatory component. IPA analysis also indicated that inflammatory genes were altered on the contralateral side, but many of the genes were inversely expressed compared to the ipsilateral side. The contralateral gene expression pattern suggests a remote anti-inflammatory molecular response. We created a network of the inversely expressed common (i.e., same gene changed on both sides of the brain) inflammatory response (IR) genes and those IR genes included in pathways and networks identified by IPA that changed on only one side. We ranked the genes by the number of direct connections each had in the network, creating a gene interaction hierarchy (GIH). Two well characterized signaling pathways, toll-like receptor/NF-kappaB signaling and JAK/STAT signaling, were prominent in our GIH. Conclusions Bioinformatic analysis of microarray data following TBI identified key molecular pathways and networks associated with neural injury following TBI. The GIH created here provides a starting point for investigating therapeutic targets in a ranked order that is somewhat different than what has been presented previously. In addition to being a vehicle for identifying potential targets for post-TBI therapeutic strategies, our findings can also provide a context for evaluating the potential of therapeutic agents currently in development.

ORGANISM(S): Rattus norvegicus

PROVIDER: GSE45997 | GEO | 2013/04/12

SECONDARY ACCESSION(S): PRJNA196846

REPOSITORIES: GEO

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:Abstract Background Traumatic brain injury (TBI) results in irreversible damage at the site of impact and initiates cellular and molecular processes that lead to secondary neural injury in the surrounding tissue. We used microarray analysis to determine which genes, pathways and networks were significantly altered using a rat model of TBI. Adult rats received a unilateral controlled cortical impact (CCI) and were sacrificed 24h post-injury. The ipsilateral hemi-brain tissue at the site of the injury, the corresponding contralateral hemi-brain tissue, and naM-CM-/ve (control) brain tissue were used for microarray analysis. Ingenuity Pathway Analysis (IPA) software was used to identify molecular pathways and networks that were associated with the altered gene expression in brain tissues following TBI. Results Inspection of the top fifteen biological functions in IPA associated with TBI in the ipsilateral tissues revealed that all had an inflammatory component. IPA analysis also indicated that inflammatory genes were altered on the contralateral side, but many of the genes were inversely expressed compared to the ipsilateral side. The contralateral gene expression pattern suggests a remote anti-inflammatory molecular response. We created a network of the inversely expressed common (i.e., same gene changed on both sides of the brain) inflammatory response (IR) genes and those IR genes included in pathways and networks identified by IPA that changed on only one side. We ranked the genes by the number of direct connections each had in the network, creating a gene interaction hierarchy (GIH). Two well characterized signaling pathways, toll-like receptor/NF-kappaB signaling and JAK/STAT signaling, were prominent in our GIH. Conclusions Bioinformatic analysis of microarray data following TBI identified key molecular pathways and networks associated with neural injury following TBI. The GIH created here provides a starting point for investigating therapeutic targets in a ranked order that is somewhat different than what has been presented previously. In addition to being a vehicle for identifying potential targets for post-TBI therapeutic strategies, our findings can also provide a context for evaluating the potential of therapeutic agents currently in development. The ipsilateral hemi-brain tissue at the site of the injury, the corresponding contralateral hemi-brain tissue, and naM-CM-/ve (control) brain tissue (n=3 for each) were used for RNA isolation. The TBI injured animals were Todd 1, 2 Todd, and Todd 3, each yielding an ispilateral and contralateral sample. The naM-CM-/ve animals were Xu 13 control, Xu 2 control, and Xu 6 control.

Project description:Traumatic brain injury (TBI) induces neuroinflammatory innate immune responses that plays roles in both worsening brain damage and facilitating functional recovery. A major goal is to understand the heterogeneity of the immune responses to TBI, and to precisely identify key components that impact functional outcomes. We previously demonstrated that genetically targeting Ccr2 in a mouse model of controlled cortical impact led to neuroprotection in TBI. Our current studies of TBI use single cell RNA sequencing of over 10,000 TBI ipsilateral brain leukocytes to examine the mechanisms associated with the observed benefit in Ccr2-/- mice by comparing gene expression in leukocyte subsets from Ccr2-/- mice to gene expression in C57BL/6 wild type mice. Unbiased clustering identified two monocyte subsets, Chil3hi Ly6Chi classical monocytes and Gpnmbhi Ly6Clo nonclassical monocytes, and nine microglia states in the ipsilateral TBI brain. Comparative analysis between the genotypes revealed that Ccr2-/- TBI mice contained reduced numbers of inflammatory macrophages. In TBI, we observed a subset of microglia highly expressing several type I interferon-stimulated genes (ISGs) and is designated as Irf7hi microglia. Notably, unbiased differential expression analysis detected a two-fold reduction in the type I interferon response in multiple Ccr2-/- TBI microglia subsets compared to wild type TBI microglia. Treatment post-injury with a human CCR2 (hCCR2) inhibitor, CCX872, in hCcr2 knock-in mice improved cognitive function post-TBI, and also correlated with reduced expression of a key ISG, Irf7. We identified and characterized macrophage and microglia subsets during acute TBI. Our data showed that a reduction in macrophage expansion in TBI by both genetic and pharmacological methods, improved TBI and correlated with a reduction in the type I IFN response. These data indicate that macrophage expansion co-directs a type IFN response in microglia, and that targeting macrophage expansion in the brain can alter the profile of microglia subsets and lead towards improved functional outcomes.

Dataset Information

Gene expression patterns following unilateral traumatic brain injury reveals a local pro-inflammatory and remote anti-inflammatory response

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets