Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

GeneChip expression profiling of Glud1 (glutamate dehydrogenase 1) transgenic mice

ABSTRACT: Glud1 (glutamate dehydrogenase 1) transgenic mice release more excitatory neurotransmitter glutamate to synaptic cleft throughout lifespan and show signs of accelerated aging. Here we compared transcriptomic profiles of these animals to their wild-type counterparts. The hippocampus was used for the analysis. Keywords: transgenic analysis Three Glud1 transgenic mice vs. three age-matched wide-type mice. Age: 9-month-old. Tissue: hippocampus.

ORGANISM(S): Mus musculus

SUBMITTER: Xinkun Wang

PROVIDER: E-GEOD-11419 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Transcriptomic responses in mouse brain exposed to chronic excess of the neurotransmitter glutamate.

Wang Xinkun X Bao Xiaodong X Pal Ranu R Agbas Abdulbaki A Michaelis Elias K EK

BMC genomics 20100607

<h4>Background</h4>Increases during aging in extracellular levels of glutamate (Glu), the major excitatory neurotransmitter in the brain, may be linked to chronic neurodegenerative diseases. Little is known about the molecular responses of neurons to chronic, moderate increases in Glu levels. Genome-wide gene expression in brain hippocampus was examined in a unique transgenic (Tg) mouse model that exhibits moderate Glu hyperactivity throughout the lifespan, the neuronal Glutamate dehydrogenase ( ...[more]

PMID: 20529287

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Project description:The rostral ventrolateral medulla (RVLM), a part of the medullary reticular formation, plays a major role in several physiological responses, including cardiovascular and sympathetic nervous system functions. Although aging causes disturbances in the responses of these physiological systems, RVLM involvement in these age-related changes is not clear. Previous work using high-throughput gene expression analysis of the RVLM in aged animals suggested that chemical neurotransmission-related genes might be downregulated with advancing age. Since the RVLM function involves a balance of inhibitory and excitatory inputs, which is largely mediated by gamma-aminobutyric acid (GABA) and excitatory amino acid (EAA) neurotransmission, we hypothesized that aging is associated with altered excitatory and/or inhibitory neurotransmission-related gene expression in the RVLM. To test this hypothesis, we micropunched an RVLM-containing area from young (3–5 months), middle-aged (12–14 months), and aged (22–26 months) Fischer 344 male rats. RNA purified from these micropunches was analyzed using GABA and Glutamate RT2 Profiler PCR arrays (n= 8–10). In addition, the expression of selected genes was validated at the RNA level using TaqMan® based- qPCR and at the protein level using western blotting. All the genes that displayed significant differential expression (1.5-fold, p < .05, FDR < .05) were identified to be downregulated in the RVLM of aged and middle-aged rats compared to young rats. Among the downregulated genes, the percentage of glutamate neurotransmission-related genes was higher than GABA neurotransmission-related genes. Solute carrier family 1 member 6 (Slc1a6) gene showed the highest fold downregulation at the RNA level in the RVLM of aged compared to young rats, and its protein product, Excitatory amino acid transporter 4 (EAAT4), showed a downregulatory trend in the RVLM of aged and middle-aged rats. These results suggest that molecular constituents of both GABA and glutamate neurotransmission might be altered in the RVLM of aged and middle-aged rats, and the changes in glutamate neurotransmission might be more prominent. Investigating age-associated anatomical and functional changes in RVLM GABA and glutamate neurotransmission might provide a foundation for understanding the effects of aging on physiological function.

Dataset Information

GeneChip expression profiling of Glud1 (glutamate dehydrogenase 1) transgenic mice

Publications

Transcriptomic responses in mouse brain exposed to chronic excess of the neurotransmitter glutamate.

Similar Datasets

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