Garge Riddhiman K, Lynch Valerie, Fields Rose, Casadei Silvia, Best Sabrina, Stone Jeremy, Snyder Matthew, McGann Chris D, Shendure Jay, Starita Lea M, Hamazaki Nobuhiko, Schweppe Devin K
Department of Genome Sciences, University of Washington, Seattle, Washington, USA.
Brotman Baty Institute for Precision Medicine, Seattle, Washington, USA.
bioRxiv. 2024 Sep 7:2024.09.05.609098. doi: 10.1101/2024.09.05.609098.
Gastrulation is the highly coordinated process by which the early embryo breaks symmetry, establishes germ layers and a body plan, and sets the stage for organogenesis. As early mammalian development is challenging to study stem cell-derived models have emerged as powerful surrogates, human and mouse gastruloids. However, although single cell RNA-seq (scRNA-seq) and high-resolution imaging have been extensively applied to characterize such embryo models, a paucity of measurements of protein dynamics and regulation leaves a major gap in our understanding. Here, we sought to address this by applying quantitative proteomics to human and mouse gastruloids at four key stages of their differentiation (naïve ESCs, primed ESCs, early gastruloids, late gastruloids). To the resulting data, we perform network analysis to map the dynamics of expression of macromolecular protein complexes and biochemical pathways, including identifying cooperative proteins that associate with them. With matched RNA-seq and phosphosite data from these same stages, we investigate pathway-, stage- and species-specific aspects of translational and post-translational regulation, finding peri-gastrulation stages of human and mice to be discordant with respect to the mitochondrial transcriptome vs. proteome, and nominating novel kinase-substrate relationships based on phosphosite dynamics. Finally, we leverage correlated dynamics to identify conserved protein networks centered around congenital disease genes. Altogether, our data (https://gastruloid.brotmanbaty.org/) and analyses showcase the potential of intersecting embryo models and proteomics to advance our understanding of early mammalian development in ways not possible through transcriptomics alone.
原肠胚形成是一个高度协调的过程,通过这个过程,早期胚胎打破对称性,建立胚层和身体结构,并为器官发生奠定基础。由于早期哺乳动物发育的研究具有挑战性,干细胞衍生模型已成为强大的替代物,即人类和小鼠类原肠胚。然而,尽管单细胞RNA测序(scRNA-seq)和高分辨率成像已被广泛应用于表征此类胚胎模型,但蛋白质动力学和调控的测量数据匮乏,这在我们的理解上留下了一个重大空白。在这里,我们试图通过在人类和小鼠类原肠胚分化的四个关键阶段(幼稚胚胎干细胞、始发态胚胎干细胞、早期类原肠胚、晚期类原肠胚)应用定量蛋白质组学来解决这个问题。对于所得数据,我们进行网络分析,以绘制大分子蛋白质复合物和生化途径的表达动态图谱,包括识别与其相关的协同蛋白。利用来自这些相同阶段的匹配RNA测序和磷酸化位点数据,我们研究翻译和翻译后调控的途径特异性、阶段特异性和物种特异性方面,发现人类和小鼠的原肠胚形成周围阶段在线粒体转录组与蛋白质组方面不一致,并根据磷酸化位点动态确定新的激酶-底物关系。最后,我们利用相关动态来识别围绕先天性疾病基因的保守蛋白质网络。总之,我们的数据(https://gastruloid.brotmanbaty.org/)和分析展示了交叉胚胎模型和蛋白质组学的潜力,以推进我们对早期哺乳动物发育的理解,而这是仅通过转录组学无法实现的。