Suppr超能文献

小鼠中的命运图谱显示,早期分泌分化直接源于Lgr5 +肠道干细胞。

Fate mapping in mouse demonstrates early secretory differentiation directly from Lgr5+ intestinal stem cells.

作者信息

Banjac Isidora, Maimets Martti, Tsang Ingrid H C, Dioli Marius, Hansen Stine Lind, Krizic Kata, Bressan Raul Bardini, Lövkvist Cecilia, Jensen Kim B

机构信息

Novo Nordisk Foundation Center for Stem Cell Medicine, reNEW, Faculty of Health and Medical Sciences, University of Copenhagen, DK-2200 Copenhagen N, Denmark.

Novo Nordisk Foundation Center for Stem Cell Medicine, reNEW, Faculty of Health and Medical Sciences, University of Copenhagen, DK-2200 Copenhagen N, Denmark.

出版信息

Dev Cell. 2025 May 5;60(9):1281-1289.e6. doi: 10.1016/j.devcel.2024.12.023. Epub 2025 Jan 9.

Abstract

The intestinal epithelium has a remarkably high turnover in homeostasis. It remains unresolved how this is orchestrated at the cellular level and how the behavior of stem and progenitor cells ensures tissue maintenance. To address this, we combined quantitative fate mapping in three complementary mouse models with mathematical modeling and single-cell RNA sequencing. Our integrated approach generated a spatially and temporally defined model of crypt maintenance based on two cycling populations: stem cells at the crypt-bottom and transit-amplifying (TA) cells above them. Subsequently, we validated the predictions from the mathematical model, demonstrating that fate decisions between the secretory and absorptive lineages are made within the stem cell compartment, whereas TA cell divisions contribute specifically to the absorptive lineage. These quantitative insights provide further direct evidence for crypt-bottom stem cells as the dominant driver of the intestinal epithelium replenishment.

摘要

在稳态下,肠道上皮具有极高的更新率。目前仍不清楚这在细胞水平上是如何协调的,以及干细胞和祖细胞的行为是如何确保组织维持的。为了解决这个问题,我们将三种互补小鼠模型中的定量命运图谱与数学建模和单细胞RNA测序相结合。我们的综合方法基于两个循环群体生成了一个空间和时间上定义的隐窝维持模型:隐窝底部的干细胞和其上方的过渡扩增(TA)细胞。随后,我们验证了数学模型的预测,表明分泌和吸收谱系之间的命运决定在干细胞区室中做出,而TA细胞分裂则专门促进吸收谱系。这些定量见解为隐窝底部干细胞作为肠道上皮补充的主要驱动因素提供了进一步的直接证据。

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