小柯机器人

瑞士苏黎世理工学院Barbara Treutlein、巴塞尔大学J. Gray Camp等研究人员合作通过单细胞基因组数据解析大脑类器官的区域身份。2021年3月11日，《细胞—干细胞》杂志在线发表了这项成果。

研究人员开发了一套计算工具（VoxHunt），通过与空间和单细胞转录组参考数据集进行比较来评估大脑器官的模式、发育状态和细胞身份。通过来自于不同大脑类器官模型的单细胞和组织的基因组数据，研究人员使用VoxHunt来表征和可视化了细胞组成。VoxHunt将有助于评估类器官构建方案，并注释在遗传和环境扰动实验中类器官中出现的细胞命运。 

据了解，人类干细胞产生的类大脑结构为研究人类大脑的发育、疾病和进化提供了可能性。这些3D模型非常复杂，可以包含来自不同大脑区域的处于不同分化阶段的细胞。单细胞基因组学方法提供了强大的方法来探索脑类器官系统中的细胞组成、分化轨迹和遗传扰动。但是，要理解各个类器官内部和之间的异质性仍然是一个重大挑战。

附：英文原文

Title: Resolving organoid brain region identities by mapping single-cell genomic data to reference atlases

Author: Jonas Simon Fleck, Fátima Sanchís-Calleja, Zhisong He, Malgorzata Santel, Michael James Boyle, J. Gray Camp, Barbara Treutlein

Issue&Volume: 2021-03-11

Abstract: Self-organizing tissues resembling brain structures generated from human stem cellsoffer exciting possibilities to study human brain development, disease, and evolution.These 3D models are complex and can contain cells at various stages of differentiationfrom different brain regions. Single-cell genomic methods provide powerful approachesto explore cell composition, differentiation trajectories, and genetic perturbationsin brain organoid systems. However, it remains a major challenge to understand theheterogeneity observed within and between individual organoids. Here, we develop aset of computational tools (VoxHunt) to assess brain organoid patterning, developmentalstate, and cell identity through comparisons to spatial and single-cell transcriptomereference datasets. We use VoxHunt to characterize and visualize cell compositionsusing single-cell and bulk genomic data from multiple organoid protocols modelingdifferent brain structures. VoxHunt will be useful to assess organoid engineeringprotocols and to annotate cell fates that emerge in organoids during genetic and environmentalperturbation experiments.

DOI: 10.1016/j.stem.2021.02.015

Source: https://www.cell.com/cell-stem-cell/fulltext/S1934-5909(21)00065-5

Cell Stem Cell：《细胞—干细胞》，创刊于2007年。隶属于细胞出版社，最新IF：25.269
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