Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, ON, M5S 3E1, Canada.
Department of Molecular Genetics, University of Toronto, Toronto, ON, M5A 1A8, Canada.
Nat Commun. 2021 Jan 12;12(1):335. doi: 10.1038/s41467-020-20483-8.
Previous transcriptomic profiling studies have typically focused on separately analyzing mRNA expression, alternative splicing and alternative polyadenylation differences between cell and tissue types. However, the relative contribution of these three transcriptomic regulatory layers to cell type specification is poorly understood. This question is particularly relevant to neurons, given their extensive heterogeneity associated with brain location, morphology and function. In the present study, we generated profiles for the three regulatory layers from developmentally and regionally distinct subpopulations of neurons from the mouse hippocampus and broader nervous system. Multi-omics factor analyses revealed differing contributions of each transcriptomic layer in the discrimination of neurons based on their stage of development, region, and function. Importantly, profiles of differential alternative splicing and polyadenylation better discriminated specific neuronal subtype populations than gene expression patterns. These results provide evidence for differential relative contributions of coordinated gene regulatory layers in the specification of neuronal subtypes.
先前的转录组谱分析研究通常侧重于分别分析细胞和组织类型之间的 mRNA 表达、选择性剪接和选择性多聚腺苷酸化差异。然而,这三个转录组调控层对细胞类型特化的相对贡献还了解甚少。对于神经元来说,这个问题尤为重要,因为它们与大脑位置、形态和功能相关的异质性非常广泛。在本研究中,我们从发育和区域上不同的小鼠海马体和更广泛的神经系统神经元亚群中生成了这三个调控层的图谱。多组学因子分析显示,在根据发育阶段、区域和功能区分神经元时,每个转录组层的贡献不同。重要的是,差异选择性剪接和多聚腺苷酸化的图谱比基因表达模式更好地区分了特定的神经元亚型群体。这些结果为协调基因调控层在神经元亚型特化中的差异相对贡献提供了证据。