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A Systematic RNAi-based Map of C. elegans Embryogenesis

基于 RNAi 的系统性线虫胚胎发生图谱

基本信息

批准号：
8049422
负责人：
KRISTIN C GUNSALUS
金额：
$ 3.86万
依托单位：
NEW YORK UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2010
资助国家：
美国
起止时间：
2010-05-01 至 2010-09-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/8049422
关键词：
Address Affect Alleles Architecture Archives Area Award Biological Biological Assay Biological Process Biology Budgets Buffers C. elegans genome Caenorhabditis elegans Cell Polarity Cell division Chromosome Mapping Code Complex Data Data Analyses Data Collection Databases Development Developmental Process Disease Educational process of instructing Embryo Embryonic Development Enhancers Ensure Event Evolution Fertilization Funding Genes Genetic Genetic Models Genetic screening method Genome Goals Human Human Genome Image Kinetochores Laboratories Lead Link Maps Meiosis Mitosis Modeling Molecular Molecular Genetics Nuclear Envelope Organism Outcome Pathway interactions Pattern Phenotype Play Process Program Development Property Proteins RNA Interference Resolution Role Staging System Testing Time Work Yeasts base combinatorial data integration experience functional genomics gene interaction genetic analysis genome sequencing genome-wide human disease in vivo insight programs protein protein interaction scaffold tool

项目摘要

DESCRIPTION (provided by applicant): The early C. elegans embryo is a powerful model to study the global genetic architecture underlying development. During the current funding period we have (1) identified most of the genes required for all visible processes during early embryonic development using large-scale RNAi followed by analysis of time-lapse recordings; (2) built a global view of the molecular complexes required for early embryogenesis by integrating high-resolution phenotypes with other functional genomic data; and (3) explored the properties of the map by studying the function of several new proteins. For example, we have found that MEL-28 plays an essential role coordinating nuclear envelope and kinetochore functions in the early embryo. In the current proposal we aim to extend these studies to identify the role of proteins beyond the essential ones and to identify how the essential complexes are coordinated and functionally linked with one other. We have developed a high-throughput system for genome-wide RNAi to identify suppressor and enhancer interactions using existing conditional alleles. Using ~30 alleles of representative genes from diverse processes in the early embryo, we aim to apply this approach to build a global scaffold of suppressor and enhancer interactions in the early embryo. We expect that the identification and analysis of these genetic interactions will extend dramatically our view of the genes working in the early embryo and how they interact to coordinate biological processes. Elucidating these mechanisms will help further our understanding of complex phenotypes underlying human disease. A fundamental question, now that the human genome sequence has been elucidated, is to understand how it directs complex biological and development programs in both normal and disease states. Over the last few years we have made progress in deciphering the single gene requirements in many basic developmental processes but we have a very limited view of how multi-gene interactions affect these programs. Since most human diseases arise from complex effects of multiple interacting components it is imperative that we gain insights into these mechanisms. We will conduct genome-wide analyses to uncover genetic interactions required during the early developmental programs in the genetic model C. elegans. The resulting map will help us understand complex genetic networks underlying development and disease in humans.

描述（由申请人提供）：早期的C。线虫胚胎是研究发育过程中整体遗传结构的重要模型。在当前的资助期间，我们已经（1）使用大规模RNAi识别了早期胚胎发育过程中所有可见过程所需的大部分基因，然后分析了延时记录;（2）通过整合高分辨率表型与其他功能基因组数据，建立了早期胚胎发生所需分子复合物的全局视图;（3）通过对几种新蛋白质功能的研究，探讨了该图谱的性质。例如，我们已经发现MEL-28在早期胚胎中起着协调核膜和动粒功能的重要作用。在目前的提案中，我们的目标是扩展这些研究，以确定蛋白质的作用超出了基本的，并确定基本复合物是如何协调和功能上相互联系的。我们已经开发了一个高通量的系统，用于全基因组RNAi，以确定抑制和增强子的相互作用，使用现有的条件等位基因。使用来自早期胚胎不同过程的代表性基因的约30个等位基因，我们的目标是应用这种方法来建立早期胚胎中抑制子和增强子相互作用的全球支架。我们期望这些遗传相互作用的识别和分析将大大扩展我们对早期胚胎中基因工作以及它们如何相互作用以协调生物过程的看法。阐明这些机制将有助于我们进一步了解人类疾病的复杂表型。既然人类基因组序列已经被阐明，一个基本的问题是理解它如何指导正常和疾病状态下复杂的生物和发育程序。在过去的几年里，我们在破译许多基本发育过程中的单基因要求方面取得了进展，但我们对多基因相互作用如何影响这些程序的看法非常有限。由于大多数人类疾病都是由多种相互作用的成分的复杂作用引起的，因此我们必须深入了解这些机制。我们将进行全基因组分析，以揭示遗传模型C中早期发育程序所需的遗传相互作用。优雅的由此产生的图谱将帮助我们了解人类发育和疾病背后的复杂遗传网络。