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使用单细胞技术评估小胶质细胞表型。

Evaluating microglial phenotypes using single-cell technologies.

机构信息

Institute of Neuropathology, Faculty of Medicine, University of Freiburg, Freiburg, Germany; Berta-Ottenstein-Programme for Clinician Scientists, Faculty of Medicine, University of Freiburg, Freiburg, Germany; Single-Cell Omics Platform Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.

Institute of Neuropathology, Faculty of Medicine, University of Freiburg, Freiburg, Germany; Single-Cell Omics Platform Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.

出版信息

Trends Neurosci. 2022 Feb;45(2):133-144. doi: 10.1016/j.tins.2021.11.001. Epub 2021 Dec 4.

DOI:10.1016/j.tins.2021.11.001
PMID:34872773
Abstract

Recent single-cell technologies have enabled researchers to simultaneously assess the transcriptomes and other modalities of thousands of cells within their spatial context. Here, we have summarized available single-cell methods for dissociated tissues and tissue slides with respect to the specifics of microglial biology. We have focused on next-generation-based technologies. We review the potential of these single-cell sequencing methods and newer multiomics approaches to extend the understanding of microglia function beyond the status quo.

摘要

最近的单细胞技术使研究人员能够在其空间背景下同时评估数千个细胞的转录组和其他模式。在这里,我们根据小胶质细胞生物学的具体特点,总结了用于分离组织和组织切片的单细胞方法。我们重点介绍了基于下一代技术的方法。我们回顾了这些单细胞测序方法和更新的多组学方法的潜力,以超越现状扩展对小胶质细胞功能的理解。

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Evaluating microglial phenotypes using single-cell technologies.使用单细胞技术评估小胶质细胞表型。
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2
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Primer on machine learning applications in brain immunology.脑免疫学中机器学习应用入门
Front Bioinform. 2025 Apr 17;5:1554010. doi: 10.3389/fbinf.2025.1554010. eCollection 2025.
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Microglia in Glioma.胶质瘤中的小胶质细胞。
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Advances in understanding the immunity of the brain and its borders: Focus on brain macrophages.对大脑及其边界免疫的认识进展:关注脑巨噬细胞。
Clin Transl Med. 2024 Sep;14(9):e70014. doi: 10.1002/ctm2.70014.
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PrestoCell: A persistence-based clustering approach for rapid and robust segmentation of cellular morphology in three-dimensional data.PrestoCell:一种基于持久性的聚类方法,用于快速、稳健地分割三维数据中的细胞形态。
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