Department of Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Science for Life Laboratory, Department of Gene Technology, KTH Royal Institute of Technology, Stockholm, Sweden.
Sci Adv. 2020 Jun 26;6(26):eabb3446. doi: 10.1126/sciadv.abb3446. eCollection 2020 Jun.
Brain maps are essential for integrating information and interpreting the structure-function relationship of circuits and behavior. We aimed to generate a systematic classification of the adult mouse brain based purely on the unbiased identification of spatially defining features by employing whole-brain spatial transcriptomics. We found that the molecular information was sufficient to deduce the complex and detailed neuroanatomical organization of the brain. The unsupervised (non-expert, data-driven) classification revealed new area- and layer-specific subregions, for example in isocortex and hippocampus, and new subdivisions of striatum. The molecular atlas further supports the characterization of the spatial identity of neurons from their single-cell RNA profile, and provides a resource for annotating the brain using a minimal gene set-a brain palette. In summary, we have established a molecular atlas to formally define the spatial organization of brain regions, including the molecular code for mapping and targeting of discrete neuroanatomical domains.
脑图谱对于整合信息和解释电路和行为的结构-功能关系至关重要。我们的目标是通过采用全脑空间转录组学,纯粹基于对空间定义特征的无偏识别,生成一个基于成年小鼠大脑的系统分类。我们发现,分子信息足以推断出大脑复杂而详细的神经解剖结构。无监督(非专家、数据驱动)分类揭示了新的区域和层特异性亚区,例如在大脑皮层和海马体中,以及纹状体的新细分。分子图谱进一步支持从单细胞 RNA 图谱中对神经元的空间特征进行特征描述,并提供了使用最小基因集(脑调色板)对大脑进行注释的资源。总之,我们已经建立了一个分子图谱,正式定义了脑区的空间组织,包括用于映射和靶向离散神经解剖结构的分子编码。