Agilent Mouse liver gene expression profiling of Cross B6/J x A/J

Mapping the genetic architecture of RNA transcript abundances has potential for revealing molecular mechanisms underlying complex traits like disease. Gene expression microarrays allow monitoring genetic control on a whole transcriptome level, but validity and reproducibility of microarray data is a subject of ongoing scientific debate. Here we demonstrate how combining genetic and gene expression data provide a basis for biologically relevant assessment of the current state of microarray technology. We profile liver samples from a murine F2 intercross population using Agilent microarrays. Tissue profiling in a mouse F2 cross. We analyzed 298 Liver samples.解析RNA转录本丰度的遗传架构，有望揭示疾病等复杂性状背后的分子机制。基因表达微阵列（Gene expression microarrays）可实现全转录组层面的遗传调控监测，但微阵列数据的有效性与可重复性始终是科学界持续争论的议题。本研究阐明，整合遗传数据与基因表达数据，可为微阵列技术当前状态的生物学相关性评估提供依据。本研究采用安捷伦（Agilent）微阵列，对小鼠F2互交群体的肝脏样本开展转录组分析。针对小鼠F2互交群体的组织转录组分析。本次研究共分析298份肝脏样本。