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Systematic gene expression mapping clusters nuclear receptors according to their function in the brain.

机译:系统性基因表达图谱根据核受体在大脑中的功能将其聚集。

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摘要

Nuclear receptors (NRs) compose a large family of transcription factors that operate at the interface between genes and environment, acting as sensors and effectors that translate endocrine and metabolic cues into well-defined gene expression programs. We report here on a systematic quantitative and anatomical expression atlas of the 49 NR genes in 104 regions of the adult mouse brain, organized in the interactive MousePat database. MousePat defines NR expression patterns to cellular resolution, a requirement for functional genomic strategies to understand the function of a highly heterogeneous and complex organ such as the brain. Using MousePat data, NR expression patterns can be clustered into anatomical and regulatory networks that delineate the role of NRs in brain functions, like the control of feeding and learning/memory. Mining the MousePat resource will improve the understanding of NR function in the brain and elucidate hierarchical networks that control behavior and whole body homeostasis.
机译:核受体(NRs)构成了一大类转录因子,它们在基因与环境之间的界面上起作用,充当将内分泌和代谢线索转化为定义明确的基因表达程序的传感器和效应器。我们在这里报告了成年小鼠大脑的104个区域中49个NR基因的系统定量和解剖表达图集,该图集在交互式MousePat数据库中组织。 MousePat为细胞分辨率定义了NR表达模式,这是功能基因组策略对理解高度异质和复杂器官(例如大脑)功能的要求。利用MousePat数据,可以将NR表达模式聚集到解剖和调节网络中,这些网络描述了NR在脑功能(如进食和学习/记忆控制)中的作用。挖掘MousePat资源将增进对大脑NR功能的理解,并阐明控制行为和全身稳态的分层网络。

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