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将血管系统用作坐标系来绘制人体所有细胞的考量因素。

Considerations for Using the Vasculature as a Coordinate System to Map All the Cells in the Human Body.

作者信息

Weber Griffin M, Ju Yingnan, Börner Katy

机构信息

Department of Biomedical Informatics, Harvard Medical School, Boston, MA, United States.

Department of Intelligent Systems Engineering, Luddy School of Informatics, Computing, and Engineering, Indiana University, Bloomington, IN, United States.

出版信息

Front Cardiovasc Med. 2020 Mar 13;7:29. doi: 10.3389/fcvm.2020.00029. eCollection 2020.

Abstract

Several ongoing international efforts are developing methods of localizing single cells within organs or mapping the entire human body at the single cell level, including the Chan Zuckerberg Initiative's Human Cell Atlas (HCA), and the Knut and Allice Wallenberg Foundation's Human Protein Atlas (HPA), and the National Institutes of Health's Human BioMolecular Atlas Program (HuBMAP). Their goals are to understand cell specialization, interactions, spatial organization in their natural context, and ultimately the function of every cell within the body. In the same way that the Human Genome Project had to assemble sequence data from different people to construct a complete sequence, multiple centers around the world are collecting tissue specimens from diverse populations that vary in age, race, sex, and body size. A challenge will be combining these heterogeneous tissue samples into a 3D reference map that will enable multiscale, multidimensional Google Maps-like exploration of the human body. Key to making alignment of tissue samples work is identifying and using a coordinate system called a Common Coordinate Framework (CCF), which defines the positions, or "addresses," in a reference body, from whole organs down to functional tissue units and individual cells. In this perspective, we examine the concept of a CCF based on the vasculature and describe why it would be an attractive choice for mapping the human body.

摘要

目前有几项国际合作正在开发在器官内定位单个细胞或在单细胞水平绘制整个人体图谱的方法,包括陈·扎克伯格倡议组织的人类细胞图谱(HCA)、克努特和爱丽丝·瓦伦贝格基金会的人类蛋白质图谱(HPA)以及美国国立卫生研究院的人类生物分子图谱计划(HuBMAP)。它们的目标是了解细胞特化、相互作用、在自然环境中的空间组织,以及最终了解体内每个细胞的功能。就像人类基因组计划必须整合来自不同人的序列数据以构建完整序列一样,世界各地的多个中心正在收集来自不同人群的组织样本,这些人群在年龄、种族、性别和体型上存在差异。一个挑战将是把这些异质组织样本组合成一个三维参考图谱,从而实现类似谷歌地图的多尺度、多维人体探索。使组织样本对齐发挥作用的关键是识别并使用一个名为通用坐标框架(CCF)的坐标系,该坐标系定义了参考体内从整个器官到功能组织单元和单个细胞的位置,即“地址”。在这篇观点文章中,我们研究基于脉管系统的CCF概念,并描述为什么它是绘制人体图谱的一个有吸引力的选择。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ab5/7082726/4d7cc8b535f1/fcvm-07-00029-g0001.jpg

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