Main content area

Gene expression atlas of the mouse central nervous system: impact and interactions of age, energy intake and gender

Xu, Xiangru, Zhan, Ming, Duan, Wenzhen, Prabhu, Vinayakumar, Brenneman, Randall, Wood, William, Firman, Jeff, Li, Huai, Zhang, Peisu, Ibe, Carol, Zonderman, Alan B, Longo, Dan L, Poosala, Suresh, Becker, Kevin G, Mattson, Mark P
Genome biology 2007 v.8 no.11 pp. 1714
DNA damage, cerebellum, cerebral cortex, data collection, energy intake, females, gene expression, genes, hippocampus, low calorie diet, males, mice, middle-aged adults, mitochondria, physiological transport, proteasome endopeptidase complex, proteins, spinal cord, synaptic vesicles, transcriptome
BACKGROUND: The structural and functional complexity of the mammalian central nervous system (CNS) is organized and modified by complicated molecular signaling processes that are poorly understood. RESULTS: We measured transcripts of 16,896 genes in 5 CNS regions from cohorts of young, middle-aged and old male and female mice that had been maintained on either a control diet or a low energy diet known to retard aging. Each CNS region (cerebral cortex, hippocampus, striatum, cerebellum and spinal cord) possessed its own unique transcriptome fingerprint that was independent of age, gender and energy intake. Less than 10% of genes were significantly affected by age, diet or gender, with most of these changes occurring between middle and old age. The transcriptome of the spinal cord was the most responsive to age, diet and gender, while the striatal transcriptome was the least responsive. Gender and energy restriction had particularly robust influences on the hippocampal transcriptome of middle-aged mice. Prominent functional groups of age- and energy-sensitive genes were those encoding proteins involved in DNA damage responses (Werner and telomere-associated proteins), mitochondrial and proteasome functions, cell fate determination (Wnt and Notch signaling) and synaptic vesicle trafficking. CONCLUSION: Mouse CNS transcriptomes responded to age, energy intake and gender in a regionally distinctive manner. The systematic transcriptome dataset also provides a window into mechanisms of age-, diet- and sex-related CNS plasticity and vulnerability.