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单细胞转录状态的三维完整组织测序。

Three-dimensional intact-tissue sequencing of single-cell transcriptional states.

机构信息

Department of Bioengineering, Stanford University, Stanford, CA 94305, USA.

Neuroscience Program, Stanford University, CA 94305, USA.

出版信息

Science. 2018 Jul 27;361(6400). doi: 10.1126/science.aat5691. Epub 2018 Jun 21.

Abstract

Retrieving high-content gene-expression information while retaining three-dimensional (3D) positional anatomy at cellular resolution has been difficult, limiting integrative understanding of structure and function in complex biological tissues. We developed and applied a technology for 3D intact-tissue RNA sequencing, termed STARmap (spatially-resolved transcript amplicon readout mapping), which integrates hydrogel-tissue chemistry, targeted signal amplification, and in situ sequencing. The capabilities of STARmap were tested by mapping 160 to 1020 genes simultaneously in sections of mouse brain at single-cell resolution with high efficiency, accuracy, and reproducibility. Moving to thick tissue blocks, we observed a molecularly defined gradient distribution of excitatory-neuron subtypes across cubic millimeter-scale volumes (>30,000 cells) and a short-range 3D self-clustering in many inhibitory-neuron subtypes that could be identified and described with 3D STARmap.

摘要

在保留细胞分辨率的三维(3D)位置解剖结构的同时获取高内涵基因表达信息一直很困难,这限制了对复杂生物组织中结构和功能的综合理解。我们开发并应用了一种称为 STARmap(空间分辨转录物扩增子读出映射)的 3D 完整组织 RNA 测序技术,该技术整合了水凝胶组织化学、靶向信号扩增和原位测序。STARmap 的功能通过在单细胞分辨率下对小鼠脑组织切片中的 160 到 1020 个基因进行高效、准确和可重复的同时检测进行了测试。移动到厚组织块,我们观察到兴奋性神经元亚型在立方毫米级体积(>30000 个细胞)上呈分子定义的梯度分布,并且许多抑制性神经元亚型在短程 3D 中自我聚类,可以通过 3D STARmap 进行识别和描述。

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