Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

ERRγ links adaptive neuronal metabolism to spatial learning and memory [Array data]

ABSTRACT: Neurons utilize glucose to generate adenosine triphosphate (ATP) essential for their survival, excitability and synaptic signaling, as well as initiating changes in neuronal structure and function. Defects in oxidative metabolism and mitochondria functions are also associated with aging and diverse human neurological diseases1-4. While neurons are known to adapt their metabolism to meet the increased energy demands of complex behaviors such as learning and memory, the molecular underpinnings regulating this process remain poorly understood4-6. Here we show that the orphan nuclear receptor estrogen related receptor gamma (ERRγ) becomes highly expressed during retinoic-acid induced neurogenesis and is widely expressed in neuronal nuclei throughout the brain. Mechanistically, we show that ERRγ directly orchestrates the expression of networks of genes involved in mitochondrial oxidative phosphorylation and energy generation in neurons. The importance of this regulation is evidenced by decreased adaptive metabolic capacity in cultured neurons lacking ERRγ, and reduced long-term potentiation (LTP) in ERRγ-/- hippocampal slices. Notably, the defect in LTP was rescued by the metabolic intermediate pyruvate, functionally linking the ERRγ knockout metabolic phenotype and memory formation. Consistent with this notion, mice lacking neuronal ERRγ exhibit defects in spatial learning and memory. These findings implicate ERRγ in the metabolic adaptations required for long-term memory formation. We used microarray analysis to compare the genome-wide gene expression changes between wild type (WT) and ERRγ-/- P0 cerebral cortex as it contains mainly neuronal lineage at this stage compared to adult cortex.

ORGANISM(S): Mus musculus

SUBMITTER: Ruth Yu

PROVIDER: E-GEOD-47133 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Dependence of hippocampal function on ERRγ-regulated mitochondrial metabolism.

Pei Liming L Mu Yangling Y Leblanc Mathias M Alaynick William W Barish Grant D GD Pankratz Matthew M Tseng Tiffany W TW Kaufman Samantha S Liddle Christopher C Yu Ruth T RT Downes Michael M Pfaff Samuel L SL Auwerx Johan J Gage Fred H FH Evans Ronald M RM

Cell metabolism 20150401 4

Neurons utilize mitochondrial oxidative phosphorylation (OxPhos) to generate energy essential for survival, function, and behavioral output. Unlike most cells that burn both fat and sugar, neurons only burn sugar. Despite its importance, how neurons meet the increased energy demands of complex behaviors such as learning and memory is poorly understood. Here we show that the estrogen-related receptor gamma (ERRγ) orchestrates the expression of a distinct neural gene network promoting mitochondria ...[more]

PMID: 25863252

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Project description:The early growth response (Egr) family of transcriptional regulators consists of four closely related molecules (Egr1-4) that regulate target genes involved in cellular growth and differentiation. In the brain, Egr transcription factors have a critical role in learning and memory processing, presumably by regulating effector target genes that alter synaptic efficacy or mediate structural changes in neurons. Previous work suggests that Egr1 and Egr3 are the most important synaptic activity induced Egr molecules in the brain and they appear to have redundant regulatory function. How Egr transcriptional regulators influence learning and memory processing in the brain is unknown because target genes regulated by them have not been identified. Using Affymetrix microarray analysis and Egr loss-of-function mice, we will begin to characterize the gene regulatory networks modulated by Egr transcription factors in the brain. We anticipate that basic mechanisms related to transcriptional control of learning and memory related plasticity and the identification of plasticity effector molecules that may be involved in synaptic dysfunction associated with degenerative diseases or brain injury will result from these studies. To identify Egr transcription factor target gene regulation in brain: Target genes regulated by Egr transcription factors have not been identified in the brain, yet the transcription factors are essential for normal learning and memory processes. Using Egr1/3 double knockout and wild type littermate mice, we will compare gene expression profiles from somatosensory cortex to identify genes that are deregulated in Egr1/3 dKO brains. Egr1 and Egr3 gene expression is coupled to synaptic N-methyl D-aspartate (NMDA) receptor activation, mitogen activated protein kinase (MAPK) signaling engaged by NMDA receptor activation and long term synaptic potentiation (LTP). Previous studies have demonstrated defects in late phase LTP, long-term memory in hippocampal dependent tasks and reconsolidation of memories in Egr1-deficient mice, but the target effector molecules regulated by Egr transcription factors are not known. We hypothesize that it will be possible to identify Egr dependent target genes by using Affymetrix microarray analysis to compare gene expression from wild type cerebral cortex that has high levels of Egr protein expression with gene expression in cortex from Egr1/3 double knockout mice. Egr1 and Egr3 are highly expressed in mouse cortex and hippocampus twenty one days after birth because of the large amount of maternal stimulation they receive prior to weaning. We will compare the gene expression profile in somatosensory cortex from P21 wild type mice to that of P21 Egr1/3 dKO mice. We will perform microarray analysis using the Mouse 430 2.0 gene array with RNA samples from 3 wild type and 3 1/3 dKO brains (6 arrays total). Differentially regulated genes (up-regulated and down-regulated) will be identified from the list of genes with significantly altered expression greater than or equal to 2-fold by paired T test. Interesting genes will be validated by real-time PCR in wild type and 1/3 dKO brains. Our main goal is to identify genes that are directly regulated by Egr3. Recognizing that both direct and indirect target genes may be identified in the list of differentially expressed genes, real-time PCR validated target genes will be further screened using chromatin immunoprecipitation coupled with PCR (ChIP-PCR) to determine whether Egr1 and/or Egr3 are bound to potential regulatory regions of the putative target genes.

Dataset Information

ERRγ links adaptive neuronal metabolism to spatial learning and memory [Array data]

Publications

Dependence of hippocampal function on ERRγ-regulated mitochondrial metabolism.

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