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组织层面的整合凌驾于甲虫胚胎外组织中分化细胞身份的梯度之上。

Tissue-Level Integration Overrides Gradations of Differentiating Cell Identity in Beetle Extraembryonic Tissue.

机构信息

School of Life Sciences, University of Warwick, Coventry CV4 7AL, UK.

Department of Molecular Genetics, Institute of Biology, University of Hohenheim, Garbenstr. 30, 70599 Stuttgart, Germany.

出版信息

Cells. 2024 Jul 18;13(14):1211. doi: 10.3390/cells13141211.

Abstract

During animal embryogenesis, one of the earliest specification events distinguishes extraembryonic (EE) from embryonic tissue fates: the serosa in the case of the insects. While it is well established that the homeodomain transcription factor Zen1 is the critical determinant of the serosa, the subsequent realization of this tissue's identity has not been investigated. Here, we examine serosal differentiation in the beetle based on the quantification of morphological and morphogenetic features, comparing embryos from a RNAi dilution series, where complete knockdown results in amnion-only EE tissue identity. We assess features including cell density, tissue boundary morphology, and nuclear size as dynamic readouts for progressive tissue maturation. While some features exhibit an all-or-nothing outcome, other key features show dose-dependent phenotypic responses with trait-specific thresholds. Collectively, these findings provide nuance beyond the known status of Tc-Zen1 as a selector gene for serosal tissue patterning. Overall, our approach illustrates how the analysis of tissue maturation dynamics from live imaging extends but also challenges interpretations based on gene expression data, refining our understanding of tissue identity and when it is achieved.

摘要

在动物胚胎发生过程中,最早的指定事件之一将胚胎外组织(EE)与胚胎组织命运区分开来:在昆虫中是浆膜。尽管众所周知,同源域转录因子 Zen1 是浆膜的关键决定因素,但尚未研究该组织身份的后续实现。在这里,我们基于形态学和形态发生特征的定量,在基于 RNAi 稀释系列的甲虫中检查浆膜分化,其中完全敲低导致仅具有羊膜的 EE 组织特征。我们评估了包括细胞密度、组织边界形态和核大小在内的特征,这些特征作为组织成熟的动态读出。虽然一些特征表现出全有或全无的结果,但其他关键特征显示出具有特定特征阈值的剂量依赖性表型反应。总的来说,这些发现提供了比 Tc-Zen1 作为浆膜组织模式选择基因的已知状态更细微的信息。总体而言,我们的方法说明了从活体成像分析组织成熟动力学如何扩展但也挑战了基于基因表达数据的解释,从而细化了我们对组织身份以及何时实现组织身份的理解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7686/11274815/e9eebea0571b/cells-13-01211-g002.jpg

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