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SyNPL:人工合成的 Notch 多能细胞系,用于体外和体内监测和操纵细胞间相互作用。

SyNPL: Synthetic Notch pluripotent cell lines to monitor and manipulate cell interactions in vitro and in vivo.

机构信息

Centre for Regenerative Medicine, Institute for Stem Cell Research, School of Biological Sciences, University of Edinburgh, 5 Little France Drive, Edinburgh EH16 4UU, UK.

出版信息

Development. 2022 Jun 15;149(12). doi: 10.1242/dev.200226. Epub 2022 Jun 23.

Abstract

Cell-cell interactions govern differentiation and cell competition in pluripotent cells during early development, but the investigation of such processes is hindered by a lack of efficient analysis tools. Here, we introduce SyNPL: clonal pluripotent stem cell lines that employ optimised Synthetic Notch (SynNotch) technology to report cell-cell interactions between engineered 'sender' and 'receiver' cells in cultured pluripotent cells and chimaeric mouse embryos. A modular design makes it straightforward to adapt the system for programming differentiation decisions non-cell-autonomously in receiver cells in response to direct contact with sender cells. We demonstrate the utility of this system by enforcing neuronal differentiation at the boundary between two cell populations. In summary, we provide a new adaptation of SynNotch technology that could be used to identify cell interactions and to profile changes in gene or protein expression that result from direct cell-cell contact with defined cell populations in culture and in early embryos, and that can be customised to generate synthetic patterning of cell fate decisions.

摘要

细胞间相互作用调控多能细胞在早期发育过程中的分化和细胞竞争,但由于缺乏有效的分析工具,对这些过程的研究受到了阻碍。在这里,我们介绍了 SyNPL:克隆多能干细胞系,它采用优化的合成 Notch(SynNotch)技术来报告工程“发送器”和“接收器”细胞之间在培养的多能细胞和嵌合鼠胚胎中的细胞间相互作用。模块化设计使得该系统可以很容易地适应于编程接收器细胞中的非细胞自主分化决策,以响应与发送器细胞的直接接触。我们通过在两个细胞群之间的边界处强制进行神经元分化来证明该系统的实用性。总之,我们提供了 SynNotch 技术的新改编,可以用于识别细胞相互作用,并分析由于与培养和早期胚胎中定义的细胞群的直接细胞接触而导致的基因或蛋白质表达的变化,并且可以定制以产生细胞命运决定的合成图案。

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