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完整的中枢神经系统细胞定量分析显示出性别二态性。

Intact central nervous system cellular quantitation reveals sexual dimorphism.

机构信息

Brain Mind Institute, EPFL - Swiss Federal Institute of Technology, Lausanne, Switzerland.

Department of Microbiology and Cell Biology, Montana State University, Bozeman, United States.

出版信息

Elife. 2022 Jul 8;11:e74968. doi: 10.7554/eLife.74968.

Abstract

Establishing with precision the quantity and identity of the cell types of the brain is a prerequisite for a detailed compendium of gene and protein expression in the central nervous system (CNS). Currently, however, strict quantitation of cell numbers has been achieved only for the nervous system of . Here, we describe the development of a synergistic pipeline of molecular genetic, imaging, and computational technologies designed to allow high-throughput, precise quantitation with cellular resolution of reporters of gene expression in intact whole tissues with complex cellular constitutions such as the brain. We have deployed the approach to determine with exactitude the number of functional neurons and glia in the entire intact larval CNS, revealing fewer neurons and more glial cells than previously predicted. We also discover an unexpected divergence between the sexes at this juvenile developmental stage, with the female CNS having significantly more neurons than that of males. Topological analysis of our data establishes that this sexual dimorphism extends to deeper features of CNS organisation. We additionally extended our analysis to quantitate the expression of voltage-gated potassium channel family genes throughout the CNS and uncover substantial differences in abundance. Our methodology enables robust and accurate quantification of the number and positioning of cells within intact organs, facilitating sophisticated analysis of cellular identity, diversity, and gene expression characteristics.

摘要

精确确定大脑细胞类型的数量和特征是详细编目中枢神经系统(CNS)中基因和蛋白质表达的前提。然而,目前只有在神经系统中才能严格定量细胞数量。在这里,我们描述了一种分子遗传学、成像和计算技术的协同流水线的开发,旨在允许对具有复杂细胞组成的完整组织中的基因表达报告进行高通量、精确的细胞分辨率定量,这些组织具有复杂的细胞组成,如大脑。我们已经采用了这种方法来精确确定整个完整幼虫 CNS 中的功能神经元和神经胶质细胞的数量,结果显示神经元的数量比以前预测的要少,而神经胶质细胞的数量则更多。我们还在这个幼年发育阶段发现了性别之间的意外分歧,即雌性 CNS 中的神经元数量明显多于雄性。我们数据的拓扑分析确立了这种性二态性延伸到 CNS 组织更深层次的特征。我们还扩展了我们的分析,以定量计算整个 CNS 中电压门控钾通道家族基因的表达,并发现丰度存在显著差异。我们的方法能够在完整器官内稳健且准确地定量细胞的数量和位置,从而促进对细胞身份、多样性和基因表达特征的复杂分析。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/465f/9270032/bb58d8bf9b16/elife-74968-fig1.jpg

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