Sahoo Sarthak, Mishra Ashutosh, Diehl Anna Mae, Jolly Mohit Kumar
Undergraduate Programme, Indian Institute of Science, Bangalore, India.
Center for BioSystems Science and Engineering, Indian Institute of Science, Bangalore, India.
iScience. 2022 Aug 18;25(9):104955. doi: 10.1016/j.isci.2022.104955. eCollection 2022 Sep 16.
The immense regenerative potential of the liver is attributed to the ability of its two key cell types - hepatocytes and cholangiocytes - to -differentiate to one another either directly or through intermediate progenitor states. However, the dynamic features of decision-making between these cell-fates during liver development and regeneration remains elusive. Here, we identify a core gene regulatory network comprising c/EBPα, TGFBR2, and SOX9 which is multistable in nature, enabling three distinct cell states - hepatocytes, cholangiocytes, and liver progenitor cells (hepatoblasts/oval cells) - and stochastic switching among them. Predicted expression signature for these three states are validated through multiple bulk and single-cell transcriptomic datasets collected across developmental stages and injury-induced liver repair. This network can also explain the experimentally observed spatial organization of phenotypes in liver parenchyma and predict strategies for efficient cellular reprogramming. Our analysis elucidates how the emergent dynamics of underlying regulatory networks drive diverse cell-fate decisions in liver development and regeneration.
肝脏巨大的再生潜力归因于其两种关键细胞类型——肝细胞和胆管细胞——能够直接或通过中间祖细胞状态相互分化。然而,在肝脏发育和再生过程中,这些细胞命运之间决策的动态特征仍然难以捉摸。在这里,我们鉴定出一个由c/EBPα、TGFBR2和SOX9组成的核心基因调控网络,该网络本质上是多稳态的,能够实现三种不同的细胞状态——肝细胞、胆管细胞和肝祖细胞(成肝细胞/卵圆细胞)——并在它们之间进行随机转换。通过在发育阶段和损伤诱导的肝脏修复过程中收集的多个批量和单细胞转录组数据集,验证了这三种状态的预测表达特征。该网络还可以解释在实验中观察到的肝实质中表型的空间组织,并预测高效细胞重编程的策略。我们的分析阐明了潜在调控网络的涌现动态如何驱动肝脏发育和再生中不同的细胞命运决策。