原始肝母细胞驱动早期肝脏发育。

Kentaro Iwasawa, Hiroyuki Koike, Hasan Al Reza, Yuka Milton, Keishi Kishimoto, Konrad Thorner, Marissa Granitto, Norikazu Saiki, Connie Santangelo, Kathryn Glaser, Masaki Kimura, Alexander Bondoc, Hee-Wong Lim, Mitsuru Morimoto, Makiko Iwafuchi, James M Wells, Aaron M Zorn, Takanori Takebe
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引用次数: 0

摘要

肝的胚胎发育是由肝母细胞的出现开始的,肝母细胞起源于靠近心脏的腹前肠内胚层。在这里,我们鉴定和表征了一种以前未被识别的早期肝母细胞群,这些细胞位于新兴肝芽的腹后部分,可追溯到cdx2阳性的内胚层祖细胞,我们称之为原始肝母细胞。小鼠和人单细胞转录组学揭示了典型肝母细胞标志物TBX3、FGB和KRT8/18以及原始特异性间充质标志物ID3、VIM和GATA4的表达。谱系追踪显示,在E11.5时,LIV2+肝母细胞的贡献高达12.6%,但在胎儿晚期和出生后发育中有所减少。表观遗传学和功能扰动研究进一步揭示,原始肝母细胞的出现是由wnt抑制ra允许的CDX2+FOXA2+祖细胞引发的。此外,人多能干细胞衍生的原始肝母细胞样细胞分泌多营养因子和midkine来扩增肝母细胞群体并在体内发育上皮-间充质杂交组织。我们的研究结果为理解早期肝发生过程中的谱系异质性提供了一个新的框架,并为正常和异常肝脏发育的建模策略提供了新的见解。。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Primitive Hepatoblasts Driving Early Liver Development.

The embryonic development of the liver is initiated by the emergence of hepatoblasts, originating from the ventral foregut endoderm adjacent to the heart. Here, we identify and characterize a previously unrecognized population of early hepatoblasts at the ventroposterior part of the emerging liver bud, traced from Cdx2-positive endoderm progenitors, which we term primitive hepatoblasts. Mouse and human single-cell transcriptomics reveals the expression of both canonical hepatoblast markers TBX3, FGB, and KRT8/18 and primitive-specific mesenchymal markers ID3, VIM, and GATA4. Lineage tracing revealed the notable contribution up to 12.6% of LIV2+ hepatoblasts at E11.5 but diminishes in late fetal and postnatal development. Epigenetic and functional perturbation studies further uncover that primitive hepatoblast emergence is primed by WNT-suppression on RA-permissive CDX2+FOXA2+ progenitors. Furthermore, human pluripotent stem cell-derived primitive hepatoblast-like cells secrete pleiotrophin and midkine to amplify hepatoblast populations and develop epithelial-mesenchymal hybrid tissues in vivo. Our results provide a new framework for understanding lineage heterogeneity during early hepatogenesis and offer revised insights into strategies to model normal and abnormal liver development.

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