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分子全息图的时空建模。

Spatiotemporal modeling of molecular holograms.

作者信息

Qiu Xiaojie, Zhu Daniel Y, Lu Yifan, Yao Jiajun, Jing Zehua, Min Kyung Hoi, Cheng Mengnan, Pan Hailin, Zuo Lulu, King Samuel, Fang Qi, Zheng Huiwen, Wang Mingyue, Wang Shuai, Zhang Qingquan, Yu Sichao, Liao Sha, Liu Chao, Wu Xinchao, Lai Yiwei, Hao Shijie, Zhang Zhewei, Wu Liang, Zhang Yong, Li Mei, Tu Zhencheng, Lin Jinpei, Yang Zhuoxuan, Li Yuxiang, Gu Ying, Ellison David, Chen Ao, Liu Longqi, Weissman Jonathan S, Ma Jiayi, Xu Xun, Liu Shiping, Bai Yinqi

机构信息

Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA; Basic Sciences and Engineering Initiative, Betty Irene Moore Children's Heart Center, Lucile Packard Children's Hospital, Stanford, CA, USA; Department of Computer Science, Stanford University, Stanford, CA 94305, USA; Stanford Cardiovascular Institute, Stanford University, Stanford, CA, USA.

Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.

出版信息

Cell. 2024 Dec 26;187(26):7351-7373.e61. doi: 10.1016/j.cell.2024.10.011. Epub 2024 Nov 11.

DOI:10.1016/j.cell.2024.10.011
PMID:39532097
Abstract

Quantifying spatiotemporal dynamics during embryogenesis is crucial for understanding congenital diseases. We developed Spateo (https://github.com/aristoteleo/spateo-release), a 3D spatiotemporal modeling framework, and applied it to a 3D mouse embryogenesis atlas at E9.5 and E11.5, capturing eight million cells. Spateo enables scalable, partial, non-rigid alignment, multi-slice refinement, and mesh correction to create molecular holograms of whole embryos. It introduces digitization methods to uncover multi-level biology from subcellular to whole organ, identifying expression gradients along orthogonal axes of emergent 3D structures, e.g., secondary organizers such as midbrain-hindbrain boundary (MHB). Spateo further jointly models intercellular and intracellular interaction to dissect signaling landscapes in 3D structures, including the zona limitans intrathalamica (ZLI). Lastly, Spateo introduces "morphometric vector fields" of cell migration and integrates spatial differential geometry to unveil molecular programs underlying asymmetrical murine heart organogenesis and others, bridging macroscopic changes with molecular dynamics. Thus, Spateo enables the study of organ ecology at a molecular level in 3D space over time.

摘要

量化胚胎发育过程中的时空动态对于理解先天性疾病至关重要。我们开发了Spateo(https://github.com/aristoteleo/spateo-release),一个三维时空建模框架,并将其应用于E9.5和E11.5阶段的三维小鼠胚胎发育图谱,捕获了八百万个细胞。Spateo能够进行可扩展的、局部的、非刚性的对齐、多切片细化和网格校正,以创建整个胚胎的分子全息图。它引入了数字化方法,以揭示从亚细胞到整个器官的多层次生物学信息,识别沿新兴三维结构正交轴的表达梯度,例如中脑-后脑边界(MHB)等二级组织者。Spateo进一步联合建模细胞间和细胞内相互作用,以剖析三维结构中的信号景观,包括丘脑间限制带(ZLI)。最后,Spateo引入细胞迁移的“形态测量向量场”,并整合空间微分几何,以揭示不对称小鼠心脏器官发生等过程背后的分子程序,将宏观变化与分子动态联系起来。因此,Spateo能够在三维空间中随时间在分子水平上研究器官生态学。

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