Mathematical Sciences: Mathematical Models in Cell Biology:Responses to Molecular Signals

数学科学：细胞生物学中的数学模型：对分子信号的响应

• 批准号: 8911623
• 负责人: Carla Wofsy
• 金额: $ 2.78万
• 依托单位: University of New Mexico
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1989
• 资助国家: 美国
• 起止时间: 1989-12-01 至 1991-11-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=8911623&HistoricalAwards=false
• 关键词: Mathematical; Sciences; Models; Cell; Biology

The principal investigator will developed the mathematical theory of the theoretical/experimental collaboration aimed at identifying signal and response mechanisms in immediate allergic reactions. Biological cells sense their environment primarily through the interaction of cell surface receptors with specific extracellular ligands. These interactions serve as signals, initiating cell responses to hormones, neurotransmitters, immune response mediators, and other molecules. One response the principal investigator and her colleagues will study is the release, from intracellular granules, of molecules that cause allergic symptoms. The mathematics proposed here involves setting up systems of differential equations, and estimating parameters involved in these equations as well as estimating distributions using statistical techniques. The mathematical analysis will be necessary to interpret any but the simplest experiments. The combination of solid mathematical modeling and analysis expertise with the biological experimentation is a positive model for interdisciplinary research.

首席研究员将开发理论/实验合作的数学理论，旨在识别即时过敏反应的信号和反应机制。 生物细胞主要通过细胞表面受体与特定细胞外配体的相互作用来感知其环境。 这些相互作用充当信号，启动细胞对激素、神经递质、免疫反应介质和其他分子的反应。 首席研究员和她的同事将研究的一种反应是从细胞内颗粒中释放引起过敏症状的分子。 这里提出的数学涉及建立微分方程组，估计这些方程中涉及的参数以及使用统计技术估计分布。 数学分析对于解释除最简单的实验之外的任何实验都是必要的。 扎实的数学建模和分析专业知识与生物实验的结合是跨学科研究的积极典范。