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E-GEOD-48369 GSE48369 transcription profiling by array Mus musculus

Expression data of sleeping, waking, and sleep deprived in adult heterozygous Cnp – eGFP-L10a mice

·发布 2013年8月20日 ·更新 2014年6月3日
36
样本数
36
实验数
1
芯片平台
实验描述

Transcriptomic studies revealed that hundreds of mRNAs show differential expression in the brains of sleeping versus awake rats, mice, flies, and sparrows. Although these results have offered clues regarding the molecular consequences of sleep and sleep loss, their functional significance thus far has been limited. This is because the previous studies pooled transcripts from all brain cells, including neurons and glia. In the following experiment, we studied the specific effects of sleep and wake conditions on glia cells of mouse cerebral cortex using the genetically targeted translating ribosome affinity purification (TRAP) methodology. We used bacterial artificial chromosome (BAC) transgenic mice expressing EGFP tagged ribosomal protein L10a in oligodendrocytes which constitute a defined cellular population of the mouse brain. Using this approach, we could extract only the oligodendrocitic mRNAs, and only those already committed to be translated into proteins (L10a is part of the translational machinery). Six mice for each vigilant state group (sleep (S), waking (W), and sleep deprivation (SD)) were considered. For each animal, one forebrain sample was immediately processed. Samples were immunoprecipitated to isolate oligodendrocytes. The precipitated portion formed the bound sample (IP) containing olidodendrocytes and the remaining part formed the unbound sample (UB) containing all the remaining cell types (neurons and other glia cells). Then, both IP and UB samples were processed and RNA was extracted.

芯片平台
A-AFFY-45
Affymetrix GeneChip Mouse Genome 430 2.0 [Mouse430_2](36 例)
样本属性
genotype
Cnp – eGFP-L10a
organism
Mus musculus
organism part
brain
strain or line
C57BL/6
实验信息
登记号
E-GEOD-48369
GEO 编号
GSE48369
实验类型
transcription profiling by array
物种
Mus musculus
发布日期
2013年8月20日
更新日期
2014年6月3日
提交者
Chiara Cirelli、 Michele Bellesi、 Stephanie Maret、 Sunduz Keles、 Giulio Tononi、 Martha Pfister-Genskow、 Michele Bellesi
分析服务
分析服务

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