Del-Valle-Anton Lucia, Amin Salma, Borrell Víctor
Instituto de Neurociencias, Consejo Superior de Investigaciones Científicas & Universidad Miguel Hernández, Sant Joan d'Alacant, Spain.
Bio Protoc. 2024 Dec 20;14(24):e5133. doi: 10.21769/BioProtoc.5133.
Brain development is highly complex and dynamic. During this process, the different brain structures acquire new components, such as the cerebral cortex, which builds up different germinal and cortical layers during its development. The genetic study of this complex structure has been commonly approached by bulk-sequencing of the entire cortex as a whole. Here, we describe the methodology to study this layered tissue in all its complexity by microdissecting two germinal layers at two developmental time points. This protocol is combined with a step-by-step explanation of tissue dissociation that provides high-quality cells ready to be analyzed by the newly developed single-cell assays, such as scRNA-seq, scATAC-seq, and TrackerSeq. Altogether, this approach increases the resolution of the genetic analyses from the cerebral cortex compared to bulk studies. It also facilitates the study of laboratory animal models that recapitulate human cortical development better than mice, like ferrets. Key features • Microdissection of individual germinal layers in the developing cerebral cortex from living brain slices. • Enzymatic and mechanical dissociation generates single-cell suspensions available for high-throughput single-cell assays. • Protocol optimized for embryonic and early postnatal ferret cortex.
大脑发育是高度复杂且动态的。在此过程中,不同的脑结构会获得新的组成部分,比如大脑皮层,它在发育过程中会形成不同的生发层和皮质层。对这种复杂结构的遗传学研究通常是通过对整个皮层进行整体批量测序来进行的。在这里,我们描述了一种方法,通过在两个发育时间点对两个生发层进行显微切割,来全面研究这种分层组织的复杂性。该方案还结合了组织解离的逐步解释,可提供高质量的细胞,随时准备通过新开发的单细胞分析方法进行分析,如单细胞RNA测序(scRNA-seq)、单细胞染色质可及性测序(scATAC-seq)和追踪测序(TrackerSeq)。总的来说,与批量研究相比,这种方法提高了大脑皮层遗传分析的分辨率。它还便于对比小鼠更能模拟人类皮层发育的实验动物模型进行研究,比如雪貂。关键特性• 从活脑切片中对发育中的大脑皮层的单个生发层进行显微切割。• 酶解和机械解离产生可用于高通量单细胞分析的单细胞悬液。• 针对胚胎期和出生后早期雪貂皮层优化的方案。