Cell Identity and differentiation in stimulus response

刺激反应中的细胞识别和分化

• 批准号: 6994847
• 负责人: JOSE R DINNENY
• 金额: $ 4.21万
• 依托单位: DUKE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-12-01 至 2008-11-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6994847
• 关键词: Arabidopsis; cell differentiation; cell type; ethylenes; flow cytometry; genetic transcription; green fluorescent proteins; high throughput technology; indoleacetate; microarray technology; plant ecology; plant genetics; plant growth /development; plant physiology; postdoctoral investigator; root; stimulus /response

DESCRIPTION (provided by applicant): Organs are composed of cells with distinct identities designed to interpret stimuli in specialized ways and coordinately fulfill complex functions. In order to understand how cells perform these specialized functions I plan to study the mechanisms by which cell identity alters the quality and quantity of a stimulus response. I propose to use Fluorescent Activated Cell Sorting (FACS) in combination with cell-type specific fluorescent marker lines to isolate individual cell types of the root after treatment with a stimulus. Using microarrays, I will then analyze the transcriptional changes that occur in each cell type of the root and identify genes that demonstrate cell-type specific transcriptional responses. These data will not only lead to a better understanding of the relationship between cell identity and stimulus perception and response but will also lead to the development of markers to monitor this regulation and marker-based mutant screens to identify the genetic mechanisms that control it. In addition, I propose to collaborate in the development of a high-throughput platform for visualizing root development and physiology termed the "root array" that will facilitate the work proposed here and contribute to the design of future experiments.

描述（由申请人提供）：器官由具有不同身份的细胞组成，旨在以专门的方式解释刺激并协调完成复杂功能。为了了解细胞如何执行这些专门的功能，我计划研究细胞身份改变刺激反应的质量和数量的机制。我建议使用荧光激活细胞分选（FACS）与细胞类型特异性荧光标记线相结合，以隔离刺激治疗后的根的单个细胞类型。使用微阵列，我将分析发生在每种细胞类型的根的转录变化，并确定基因，表现出细胞类型特异性转录反应。这些数据不仅将导致更好地理解细胞身份与刺激感知和反应之间的关系，而且还将导致标记物的发展，以监测这种调节和基于标记物的突变体筛选，以确定控制它的遗传机制。我建议合作开发一个高通量的平台，用于可视化根系发育和生理学，称为“根阵列”。这将促进这里提议的工作，并有助于设计今后的实验。