单细胞RNAseq在ipsc衍生的少突胶质谱系培养中鉴定胶质祖细胞亚群。

IF 3.5 2区生物学 Q1 MATHEMATICAL & COMPUTATIONAL BIOLOGY

NPJ Systems Biology and Applications Pub Date : 2025-04-15 DOI:10.1038/s41540-025-00515-z

Gabriela J Blaszczyk, Valerio E C Piscopo, Taylor M Goldsmith, Alexandra Chapleau, Julien Sirois, Geneviève Bernard, Jack P Antel, Thomas M Durcan

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引用次数: 0

摘要

细胞异质性是人类诱导多能干细胞分化少突胶质细胞的常见问题。我们之前的工作描述了一种产生OLs的新方法，并强调了胶质祖细胞的存在。在这里，我们揭示了神经胶质的异质性，并描述了分离亚群对分化的反应。本研究为在体外和转录组水平上研究胶质细胞发育动力学提供了一种新的工具。

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Single cell RNAseq to identify subpopulations of glial progenitors in iPSC-derived oligodendroglial lineage cultures.

Cellular heterogeneity is a common issue in differentiation protocols of oligodendrocytes (OLs) from human induced pluripotent stem cells. Our previous work described a novel method to generate OLs and highlighted the presence of glial progenitors. Here, we unravel the glial heterogeneity and characterize the response of isolated subpopulations to differentiation. This study provides a novel tool for studying the dynamics of glial development in vitro and on a transcriptomic level.

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来源期刊

NPJ Systems Biology and Applications Mathematics-Applied Mathematics

CiteScore

5.80

自引率

0.00%

发文量

审稿时长

8 weeks

期刊介绍： npj Systems Biology and Applications is an online Open Access journal dedicated to publishing the premier research that takes a systems-oriented approach. The journal aims to provide a forum for the presentation of articles that help define this nascent field, as well as those that apply the advances to wider fields. We encourage studies that integrate, or aid the integration of, data, analyses and insight from molecules to organisms and broader systems. Important areas of interest include not only fundamental biological systems and drug discovery, but also applications to health, medical practice and implementation, big data, biotechnology, food science, human behaviour, broader biological systems and industrial applications of systems biology. We encourage all approaches, including network biology, application of control theory to biological systems, computational modelling and analysis, comprehensive and/or high-content measurements, theoretical, analytical and computational studies of system-level properties of biological systems and computational/software/data platforms enabling such studies.