Multiplex analysis of boundary formation in the Drosophila embryo

果蝇胚胎边界形成的多重分析

• 批准号: 0920785
• 负责人: Ethan Bier
• 金额: $ 25万
• 依托单位: University of California-San Diego
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-07-01 至 2011-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0920785&HistoricalAwards=false
• 关键词: Multiplex; analysis; boundary; formation; Drosophila

This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5).In this proposal, the investigators propose to automate the acquisition of gene expression data from individual cell nuclei in Drosophila embryos and use this new quantitative tool to analyze the formation of a sharp straight border between two domains of cells. Their goal in these studies is to create computational tools that will permit the automated acquisition and analysis of multiple fluorescent signals from single cells in the Drosophila embryo. These advances should allow for the quantitative analysis of 10-20 gene expression patterns at single nucleus resolution using a multi-probe based approach to in situ hybridization. The proposed automated multiplex methods should contribute substantially to enabling the creation of comprehensive gene expression atlases such as the Brain Atlases created by the Allen Institute, which are important for understanding basic biological processes such as organization of tissues and organs and changes in these structures during the evolution of developmental patterns. These methods should also make it possible to determine the exact relative expression patterns of different genes expressed in similar regions, which currently is not possible. Such refined gene expression maps will therefore make it possible to reconstruct transcription profiles for multiple genes simultaneously in individual cell types within an embryo. The software and protocols will be made available to the scientific community, and this project will include a graduate student and several undergraduates. Thus, it will also have important educational benefits for society.

该奖项是根据2009年美国复苏和再投资法案（公法111-5）资助的。在这份提案中，研究人员提议自动获取果蝇胚胎中单个细胞核的基因表达数据，并利用这种新的定量工具来分析细胞两个结构域之间尖锐直线边界的形成。 他们在这些研究中的目标是创建计算工具，允许自动采集和分析果蝇胚胎中单个细胞的多个荧光信号。 这些进展应允许使用基于多探针的原位杂交方法在单核分辨率下定量分析10-20个基因表达模式。所提出的自动化多路复用方法应大大有助于创建全面的基因表达图谱，如由艾伦研究所创建的脑表达图谱，这对于理解基本的生物过程，如组织和器官的组织以及发育模式演变过程中这些结构的变化是重要的。这些方法还应该能够确定在相似区域中表达的不同基因的确切相对表达模式，这在目前是不可能的。 因此，这种精细的基因表达图谱将使在胚胎内的单个细胞类型中同时重建多个基因的转录谱成为可能。 该软件和协议将提供给科学界，该项目将包括一名研究生和几名本科生。因此，它也将对社会产生重要的教育效益。