Suppr超能文献

时间分辨转录组学在神经干细胞中鉴定出 v-ATPase/Notch 调节环路。

Time-resolved transcriptomics in neural stem cells identifies a v-ATPase/Notch regulatory loop.

机构信息

Institute of Molecular Biotechnology of the Austrian Academy of Sciences, Vienna, Austria.

Institute of Molecular Biotechnology of the Austrian Academy of Sciences, Vienna, Austria

出版信息

J Cell Biol. 2018 Sep 3;217(9):3285-3300. doi: 10.1083/jcb.201711167. Epub 2018 Jun 29.

Abstract

neural stem cells (neuroblasts [NBs]) divide asymmetrically by differentially segregating protein determinants into their daughter cells. Although the machinery for asymmetric protein segregation is well understood, the events that reprogram one of the two daughter cells toward terminal differentiation are less clear. In this study, we use time-resolved transcriptional profiling to identify the earliest transcriptional differences between the daughter cells on their way toward distinct fates. By screening for coregulated protein complexes, we identify vacuolar-type H-ATPase (v-ATPase) among the first and most significantly down-regulated complexes in differentiating daughter cells. We show that v-ATPase is essential for NB growth and persistent activity of the Notch signaling pathway. Our data suggest that v-ATPase and Notch form a regulatory loop that acts in multiple stem cell lineages both during nervous system development and in the adult gut. We provide a unique resource for investigating neural stem cell biology and demonstrate that cell fate changes can be induced by transcriptional regulation of basic, cell-essential pathways.

摘要

神经干细胞(神经母细胞 [NBs])通过将蛋白质决定因素不均等地分配到子细胞中进行不对称分裂。尽管不对称蛋白质分选的机制已经很清楚,但将两个子细胞中的一个重新编程为终末分化的事件尚不清楚。在这项研究中,我们使用时间分辨转录谱分析来鉴定在向不同命运分化的过程中,子细胞之间最早的转录差异。通过筛选共调控蛋白复合物,我们在分化的子细胞中发现了最早且下调最显著的复合物之一——液泡型 H+-ATP 酶 (v-ATPase)。我们表明 v-ATPase 对于 NB 的生长和 Notch 信号通路的持续活性是必需的。我们的数据表明 v-ATPase 和 Notch 形成了一个调节环,在神经系统发育和成年肠道中的多个干细胞谱系中发挥作用。我们提供了一个独特的资源来研究神经干细胞生物学,并证明细胞命运的变化可以通过基本的、细胞必需的途径的转录调控来诱导。

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