Serrano Negron Yazmin L, Hansen Nancy F, Harbison Susan T
Laboratory of Systems Genetics, National Heart Lung and Blood Institute, National Institutes of Health, Bethesda, MD.
Comparative Genomics Analysis Unit, National Human Genome Research Institute, National Institutes of Health, Rockville, MD.
G3 (Bethesda). 2018 Aug 30;8(9):2865-2873. doi: 10.1534/g3.118.200503.
Understanding how genomic variation causes differences in observable phenotypes remains a major challenge in biology. It is difficult to trace the sequence of events originating from genomic variants to changes in transcriptional responses or protein modifications. Ideally, one would conduct experiments with individuals that are at either extreme of the trait of interest, but such resources are often not available. Further, advances in genome editing will enable testing of candidate polymorphisms individually and in combination. Here we have created a resource for the study of sleep with 39 inbred lines of -the Sleep Inbred Panel (SIP). SIP lines have stable long- and short-sleeping phenotypes developed from naturally occurring polymorphisms. These lines are fully sequenced, enabling more accurate targeting for genome editing and transgenic constructs. This panel facilitates the study of intermediate transcriptional and proteomic correlates of sleep, and supports genome editing studies to verify polymorphisms associated with sleep duration.
了解基因组变异如何导致可观察到的表型差异仍然是生物学中的一项重大挑战。很难追踪从基因组变异开始到转录反应或蛋白质修饰变化的一系列事件。理想情况下,人们会对处于感兴趣性状两端的个体进行实验,但此类资源往往难以获得。此外,基因组编辑技术的进步将使我们能够单独或组合测试候选多态性。在这里,我们利用睡眠近交系面板(SIP)的39个近交系创建了一个用于睡眠研究的资源。SIP品系具有由自然发生的多态性产生的稳定的长睡眠和短睡眠表型。这些品系已完成全基因组测序,能够更准确地靶向基因组编辑和转基因构建体。该面板有助于研究睡眠的中间转录和蛋白质组学相关性,并支持基因组编辑研究以验证与睡眠时间相关的多态性。