Bradly Alicea , Suroush Bastani , Natalie K. Gordon , Susan Crawford-Young , Richard Gordon
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These waves contribute to a differentiation tree, which is an alternate way of viewing cell lineage and local action of the molecular factors. We construct a model of differentiation wave-related molecular mechanisms (genome, epigenome, and proteome) based on bioinformatic data from the nematode <em>Caenorhabditis elegans</em>. To validate this approach across different modes of development, we evaluate protein expression across different types of development by comparing <em>Caenorhabditis elegans</em> with several model organisms: fruit flies (<em>Drosophila melanogaster</em>), yeast (<em>Saccharomyces cerevisiae</em>), and mouse (<em>Mus musculus</em>). Inspired by gene regulatory networks, two Models of Interactive Contributions (fully-connected MICs and ordered MICs) are used to suggest potential genomic contributions to differentiation wave-related proteins. 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Here we propose a mechanism called differentiation waves, which unify many disparate results involving developmental systems from across the tree of life. We demonstrate how a relatively simple model of differentiation proceeds not from function-related molecular mechanisms, but from so-called differentiation waves. A phenotypic model of differentiation waves is introduced, and its relation to molecular mechanisms is proposed. These waves contribute to a differentiation tree, which is an alternate way of viewing cell lineage and local action of the molecular factors. We construct a model of differentiation wave-related molecular mechanisms (genome, epigenome, and proteome) based on bioinformatic data from the nematode <em>Caenorhabditis elegans</em>. To validate this approach across different modes of development, we evaluate protein expression across different types of development by comparing <em>Caenorhabditis elegans</em> with several model organisms: fruit flies (<em>Drosophila melanogaster</em>), yeast (<em>Saccharomyces cerevisiae</em>), and mouse (<em>Mus musculus</em>). Inspired by gene regulatory networks, two Models of Interactive Contributions (fully-connected MICs and ordered MICs) are used to suggest potential genomic contributions to differentiation wave-related proteins. 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引用次数: 0
摘要
由于整个生命树的发育过程千差万别,因此似乎很难提出一个模型,用单一的机制来理解细胞的集体行为和组织形成的协调。在这里,我们提出了一种称为 "分化波"(differentiation waves)的机制,它统一了生命树中涉及发育系统的许多不同结果。我们展示了一个相对简单的分化模型是如何不是从与功能相关的分子机制出发,而是从所谓的分化波出发的。我们介绍了分化波的表型模型,并提出了它与分子机制的关系。这些波促成了分化树,这是观察细胞系和分子因子局部作用的另一种方式。我们根据线虫秀丽隐杆线虫的生物信息数据,构建了一个与分化波相关的分子机制(基因组、表观基因组和蛋白质组)模型。为了在不同的发育模式中验证这种方法,我们将秀丽隐杆线虫与果蝇(Drosophila melanogaster)、酵母(Saccharomyces cerevisiae)和小鼠(Mus musculus)等几种模式生物进行比较,评估不同发育类型中的蛋白质表达。受基因调控网络的启发,两个交互贡献模型(完全连接的 MIC 和有序的 MIC)被用来建议分化波相关蛋白的潜在基因组贡献。这反过来又为理解分化和发育提供了一个框架。
The Molecular Basis of Differentiation Wave Activity in Embryogenesis
As development varies greatly across the tree of life, it may seem difficult to suggest a model that proposes a single mechanism for understanding collective cell behaviors and the coordination of tissue formation. Here we propose a mechanism called differentiation waves, which unify many disparate results involving developmental systems from across the tree of life. We demonstrate how a relatively simple model of differentiation proceeds not from function-related molecular mechanisms, but from so-called differentiation waves. A phenotypic model of differentiation waves is introduced, and its relation to molecular mechanisms is proposed. These waves contribute to a differentiation tree, which is an alternate way of viewing cell lineage and local action of the molecular factors. We construct a model of differentiation wave-related molecular mechanisms (genome, epigenome, and proteome) based on bioinformatic data from the nematode Caenorhabditis elegans. To validate this approach across different modes of development, we evaluate protein expression across different types of development by comparing Caenorhabditis elegans with several model organisms: fruit flies (Drosophila melanogaster), yeast (Saccharomyces cerevisiae), and mouse (Mus musculus). Inspired by gene regulatory networks, two Models of Interactive Contributions (fully-connected MICs and ordered MICs) are used to suggest potential genomic contributions to differentiation wave-related proteins. This, in turn, provides a framework for understanding differentiation and development.