A Minimal Cell Model to Determine Genomic Structure

确定基因组结构的最小细胞模型

• 批准号: 9909133
• 负责人: Michael Shuler
• 金额: $ 41.04万
• 依托单位: Cornell University
• 依托单位国家: 美国
• 项目类别: Continuing grant
• 财政年份: 2000
• 资助国家: 美国
• 起止时间: 2000-08-15 至 2004-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9909133&HistoricalAwards=false
• 关键词: Minimal; Cell; Model; Determine; Genomic

The objective of this project is to develop a dynamic mathematical model of a minimal cell as a tool to identify the organizing rinciples which relate the static linear sequence information of the genome to the dynamic non-linear functioning of the cell. This model will be developed in two stages. First, a prototype minimal cell model will be created from an existing mathematical model of a single E. coli cell. This model is based on parameters which represent groups of related chemical species and has been shown to accurately predict cell size, shape, growth rate, and composition. In the second stage of development, exhaustive detail on networks of pathways will be added to the prototype minimal cell model so that chemical species and chemical reactions are described individually and explicitly. During this period of the project, details on the networks associated with chromosome replication, ribonucleotide and deoxyribonucleotide synthesis, transport, transcription will be added. This project is to also experimentally determine the relationship between a gene's expression and the position of that gene in the three-dimensional packed chromosome so that this information can be included in mathematical descriptions of gene expression. Synchronized cell populations will be used to study the relationship between position and expression during different phases of the E. coli division cycle.

该项目的目标是开发最小细胞的动态数学模型，作为识别将基因组的静态线性序列信息与细胞的动态非线性功能联系起来的组织原理的工具。 该模型将分两个阶段开发。 首先，将从单个大肠杆菌细胞的现有数学模型创建原型最小细胞模型。 该模型基于代表相关化学物质组的参数，并已被证明可以准确预测细胞大小、形状、生长速率和成分。 在开发的第二阶段，路径网络的详尽细节将被添加到原型最小细胞模型中，以便单独、明确地描述化学物质和化学反应。 在此项目期间，将添加与染色体复制、核糖核苷酸和脱氧核糖核苷酸合成、运输、转录相关的网络的详细信息。 该项目还将通过实验确定基因表达与该基因在三维堆积染色体中的位置之间的关系，以便该信息可以包含在基因表达的数学描述中。 同步细胞群将用于研究大肠杆菌分裂周期不同阶段的位置和表达之间的关系。