Gene Regulatory Networks for Development

促进发展的基因调控网络

• 批准号: 10392418
• 负责人: Linda E Hyman
• 金额: $ 11.05万
• 依托单位: MARINE BIOLOGICAL LABORATORY
• 依托单位国家: 美国
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-05-01 至 2025-04-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10392418
• 关键词: Animals; Basic Science; Big Data; Biological; Biomedical Research; Cell Fate Control; Cells; Complement; Computational Technique; Computational algorithm; Computer Models; Computing Methodologies; Data; Defect; Development; Developmental Biology; Developmental Gene; Developmental Process; Disease; Educational workshop; Embryonic Development; Etiology; Evolution; Fostering; Gene Expression; Gene Expression Regulation; Genes; Goals; Health; Knowledge; Laboratories; Learning; Malignant Neoplasms; Modeling; National Institute of Child Health and Human Development; Organogenesis; Physiological; Physiology; Regulator Genes; Research; Research Priority; Research Training; Science; Scientist; Series; Students; System; Systems Biology; Techniques; Training; Wood material; cell behavior; education research; experimental analysis; gene network; gene regulatory network; genome-wide; insight; lectures; mathematical algorithm; programs; stem cells

Project Summary Gene regulatory network (GRN) science combines experimental approaches at any scale, from single gene to genome wide, together with computational modeling approaches and incorporates the insights gained from these analyses into a framework used to explain the causality of developmental processes and animal evolution. Expanding our understanding of GRNs has been identified as one of the research priorities of the Developmental Biology branch of the National Institute of Child Health and Human Development. The key objective of this short course on GRNs is to help students develop a conceptual understanding of developmental control mechanisms that serves as a basis to formulate research questions and hypotheses, and to learn how to apply diverse experimental and computational approaches to solve them. Students will take away from this course a sense for how systems level explanations can be obtained for developmental processes in any biological context using a variety of experimental and computational techniques. This will be accomplished through an intensive series of lectures, discussions, and hands-on workshops using computational methods to analyze big data from a large number of studies in order to construct comprehensible models for gene networks that guide development.

项目摘要 基因调控网络（GRN）科学结合了任何规模的实验方法，从单个基因到 全基因组，连同计算建模方法，并结合了从 这些分析成为一个框架，用于解释发展过程和动物的因果关系， 进化扩大我们对GRN的理解已被确定为研究重点之一， 国家儿童健康和人类发展研究所发育生物学分支。关键 这个关于GRNs的短期课程的目的是帮助学生对 发展控制机制，作为制定研究问题和假设的基础， 并学习如何应用不同的实验和计算方法来解决这些问题。学生将 从这门课程中，我们可以了解如何获得系统层面的解释， 在任何生物背景下使用各种实验和计算技术的过程。这将是 通过一系列密集的讲座，讨论和实践研讨会，使用 计算方法来分析大量研究的大数据，以构建 可理解的基因网络模型，指导发展。