Suppr超能文献

使用“Astral”分析星形胶质细胞网络中的细胞间通讯。

Analysing Intercellular Communication in Astrocytic Networks Using "Astral".

作者信息

Dzyubenko Egor, Prazuch Wojciech, Pillath-Eilers Matthias, Polanska Joanna, Hermann Dirk M

机构信息

Department of Neurology and Center for Translational Neuro- and Behavioral Sciences (C-TNBS), University Hospital Essen, Essen, Germany.

Department of Data Science and Engineering, Silesian University of Technology Faculty of Automatic Control, Electronics and Computer Science, Gliwice, Poland.

出版信息

Front Cell Neurosci. 2021 Jun 15;15:689268. doi: 10.3389/fncel.2021.689268. eCollection 2021.

Abstract

Astrocytic networks are critically involved in regulating the activity of neuronal networks. However, a comprehensive and ready-to-use data analysis tool for investigating functional interactions between the astrocytes is missing. We developed the novel software package named "Astral" to analyse intercellular communication in astrocytic networks based on live-cell calcium imaging. Our method for analysing calcium imaging data does not require the assignment of regions of interest. The package contains two applications: the core processing pipeline for detecting and quantifying Ca events, and the auxiliary visualization tool for controlling data quality. Our method allows for the network-wide quantification of Ca events and the analysis of their intercellular propagation. In a set of proof-of-concept experiments, we examined Ca events in flat monolayers of primary astrocytes and confirmed that inter-astrocytic interactions depend on the permeability of gap junctions and connexin hemichannels. The Astral tool is particularly useful for studying astrocyte-neuronal interactions on the network level. We demonstrate that compared with purely astrocytic cultures, spontaneous generation of Ca events in astrocytes that were co-cultivated with neurons was significantly increased. Interestingly, the increased astrocytic Ca activity after long-term co-cultivation with neurons was driven by the enhanced formation of gap junctions and connexin hemichannels but was not affected by silencing neuronal activity. Our data indicate the necessity for systematic investigation of astrocyte-neuronal interactions at the network level. For this purpose, the Astral software offers a powerful tool for processing and quantifying calcium imaging data.

摘要

星形胶质细胞网络在调节神经元网络的活动中起着关键作用。然而,目前缺少一个全面且易于使用的用于研究星形胶质细胞之间功能相互作用的数据分析工具。我们开发了名为“Astral”的新型软件包,用于基于活细胞钙成像分析星形胶质细胞网络中的细胞间通讯。我们分析钙成像数据的方法不需要指定感兴趣区域。该软件包包含两个应用程序:用于检测和量化钙事件的核心处理管道,以及用于控制数据质量的辅助可视化工具。我们的方法能够对钙事件进行全网络量化,并分析它们的细胞间传播。在一组概念验证实验中,我们检测了原代星形胶质细胞扁平单层中的钙事件,并证实星形胶质细胞间的相互作用取决于缝隙连接和连接蛋白半通道的通透性。Astral工具对于在网络层面研究星形胶质细胞与神经元的相互作用特别有用。我们证明,与纯星形胶质细胞培养相比,与神经元共培养的星形胶质细胞中钙事件的自发产生显著增加。有趣的是,与神经元长期共培养后星形胶质细胞钙活性的增加是由缝隙连接和连接蛋白半通道形成的增强驱动的,但不受神经元活动沉默的影响。我们的数据表明有必要在网络层面系统地研究星形胶质细胞与神经元的相互作用。为此,Astral软件为处理和量化钙成像数据提供了一个强大的工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b1a/8239356/379fc72c0d89/fncel-15-689268-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验