Suppr超能文献

早期发育过程的数据理论合成

Data-Theoretical Synthesis of the Early Developmental Process.

作者信息

Alicea Bradly, Gordon Richard, Portegys Thomas E

机构信息

OpenWorm Foundation, Boston, MA, USA.

Orthogonal Research Lab, Champaign, IL, USA.

出版信息

Neuroinformatics. 2022 Jan;20(1):7-23. doi: 10.1007/s12021-020-09508-1. Epub 2021 Jan 15.

Abstract

Biological development is often described as a dynamic, emergent process. This is evident across a variety of phenomena, from the temporal organization of cell types in the embryo to compounding trends that affect large-scale differentiation. To better understand this, we propose combining quantitative investigations of biological development with theory-building techniques. This provides an alternative to the gene-centric view of development: namely, the view that developmental genes and their expression determine the complexity of the developmental phenotype. Using the model system Caenorhabditis elegans, we examine time-dependent properties of the embryonic phenotype and utilize the unique life-history properties to demonstrate how these emergent properties can be linked together by data analysis and theory-building. We also focus on embryogenetic differentiation processes, and how terminally-differentiated cells contribute to structure and function of the adult phenotype. Examining embryogenetic dynamics from 200 to 400 min post-fertilization provides basic quantitative information on developmental tempo and process. To summarize, theory construction techniques are summarized and proposed as a way to rigorously interpret our data. Our proposed approach to a formal data representation that can provide critical links across life-history, anatomy and function.

摘要

生物发育通常被描述为一个动态的、涌现的过程。这在各种现象中都很明显,从胚胎中细胞类型的时间组织到影响大规模分化的复合趋势。为了更好地理解这一点,我们建议将生物发育的定量研究与理论构建技术相结合。这为以基因为中心的发育观点提供了一种替代方案:即发育基因及其表达决定发育表型复杂性的观点。利用秀丽隐杆线虫模型系统,我们研究胚胎表型的时间依赖性特性,并利用其独特的生活史特性来证明如何通过数据分析和理论构建将这些涌现特性联系起来。我们还关注胚胎发生分化过程,以及终末分化细胞如何对成体表型的结构和功能做出贡献。在受精后200至400分钟检查胚胎发生动力学可提供有关发育速度和过程的基本定量信息。总之,总结并提出理论构建技术作为一种严格解释我们数据的方法。我们提出的形式化数据表示方法可以提供跨越生活史、解剖结构和功能的关键联系。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验