Department of Neurology, UCLA School of Medicine USA.
Front Neuroinform. 2007 Nov 2;1:6. doi: 10.3389/neuro.11.006.2007. eCollection 2007.
This study aims to provide a high-resolution atlas and use it as an anatomical framework to localize the gene expression data for mouse brain on postnatal day 0 (P0). A color Nissl-stained volume with a resolution of 13.3 x 50 x 13.3 mu(3) was constructed and co-registered to a standard anatomical space defined by an averaged geometry of C57BL/6J P0 mouse brains. A 145 anatomical structures were delineated based on the histological images. Anatomical relationships of delineated structures were established based on the hierarchical relations defined in the atlas of adult mouse brain (MacKenzie-Graham et al., 2004) so the P0 atlas can be related to the database associated with the adult atlas. The co-registered multimodal atlas as well as the original anatomical delineations is available for download at http://www.loni.ucla.edu/Atlases/. The region-specific anatomical framework based on the neonatal atlas allows for the analysis of gene activity within a high-resolution anatomical space at an early developmental stage. We demonstrated the potential application of this framework by incorporating gene expression data generated using in situ hybridization to the atlas space. By normalizing the gene expression patterns revealed by different images, experimental results from separate studies can be compared and summarized in an anatomical context. Co-displaying multiple registered datasets in the atlas space allows for 3D reconstruction of the co-expression patterns of the different genes in the atlas space, hence providing better insight into the relationship between the differentiated distribution pattern of gene products and specific anatomical systems.
本研究旨在提供一个高分辨率图谱,并将其用作解剖学框架,以定位出生后 0 天(P0)的小鼠大脑的基因表达数据。构建了分辨率为 13.3 x 50 x 13.3 mu(3)的彩色尼氏染色体积,并与由 C57BL/6J P0 小鼠大脑平均几何形状定义的标准解剖空间进行配准。基于组织学图像,描绘了 145 个解剖结构。基于成年小鼠大脑图谱(MacKenzie-Graham 等人,2004)中定义的层次关系,建立了描绘结构的解剖关系,因此 P0 图谱可以与与成年图谱相关联的数据库相关联。可在 http://www.loni.ucla.edu/Atlases/ 下载配准的多模态图谱以及原始解剖描绘。基于新生儿图谱的区域特异性解剖框架允许在早期发育阶段在高分辨率解剖空间内分析基因活性。我们通过将使用原位杂交生成的基因表达数据纳入图谱空间,展示了该框架的潜在应用。通过对不同图像揭示的基因表达模式进行归一化,可以比较和总结来自单独研究的实验结果,以解剖学为背景。在图谱空间中同时显示多个已注册数据集,允许在图谱空间中对不同基因的共表达模式进行 3D 重建,从而更好地了解基因产物的分化分布模式与特定解剖系统之间的关系。