Graduate Training in Systems Physiology & Analysis

系统生理学研究生培训

• 批准号: 7388210
• 负责人: Leon C Moore
• 金额: $ 9.9万
• 依托单位: STATE UNIVERSITY NEW YORK STONY BROOK
• 依托单位国家: 美国
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-07-01 至 2009-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7388210
• 关键词: Address; Advisory Committees; Animals; Bioinformatics; Biological Models; Biological Sciences; Biology; Biomedical Engineering; Biophysics; Cardiovascular system; Cells; Chemistry; Class; Complex; Computer Simulation; Data; Data Analyses; Development; Diabetes Mellitus; Educational Background; Educational Curriculum; Electrocardiogram; Engineering; Environment; Epithelial; Experimental Designs; Faculty; Generations; Goals; Graduate Education; Human; Institutes; Institution; Internet; Joints; Kidney; Learning; Mathematics; Metabolic; Metabolism; Minority; Modems; Modification; Molecular; Molecular Structure; Molecular and Cellular Biology; Mus; New York; Physics; Physiological; Physiology; Publishing; Range; Rattus; Recruitment Activity; Research; Science; Series; Signal Transduction; Students; System; Systemic disease; Systems Analysis; Techniques; Time; Training; Universities; Work; base; computerized data processing; concept; data acquisition; design; hemodynamics; innovation; interest; mathematical model; physical science; programs; relating to nervous system; respiratory; statistics; structural biology

DESCRIPTION (provided by applicant): The application proposes to establish an interdisciplinary graduate education program in Systems Physiology and Analysis. The proposed educational program is a joint effort of the Department of Physiology and Biophysics and the Systems and Bioinformatics Group of the Department of Biomedical Engineering at the State University of New York at Stony Brook. The educational goals are to design a graduate curriculum to train incoming students with backgrounds in physics, engineering, chemistry or mathematics in modern systems physiology, mathematical modeling, and biomedical systems analysis. Students would be jointly recruited into both Departments, and would share a series of core courses. In addition to existing courses on cellular and molecular biology, human physiology, and experimental design and statistics, the curriculum will include a three new courses and modifications of two recently established courses: . Computational Models of Physiological Systems, a new course with emphasis on renal epithelial transport, cell signaling, and metabolic substrate transport. . Experimental Techniques in System Physiology, a new course with emphasis on obtaining cardiovascular, neural, renal, and metabolic data from rats and mice. . Advanced Integrative Biology: The Pathobiology of Diabetes, a new course designed to bring together the concepts learned in an exploration of this complex systemic disease at levels ranging from molecular structure to the whole animal, and approaches ranging from mathematical modeling to structural biology. . Experimental Design and Data Analysis, an existing course with emphasis on data acquisition, signal processing, and statistical analyses associated with the basic experimental approaches and techniques currently used in physiological research. This course will be modified. . Time-Series-Based Modeling of Biological Data, an existing course with emphasis on the analysis of ECG variability, renal hemodynamics, central respiratory rhythm generation. This course will be modified. Since its inception, the Department of Physiology & Biophysics has successfully recruited and trained students from the physical and engineering sciences, and the faculty has an exceptionally wide range of research interests, spanning systems physiology and structural biology. The department has instituted a successful program in minority recruitment and training. The Systems and Bioinformatics Group in Biomedical Engineering has hired an impressive group of enthusiastic young faculty with strong experimental and engineering components to their research. Together with the expertise in diabetes/metabolism research in the Departments of Pharmacological Sciences and Physiology & Biophysics, the parts are in place to create an innovative graduate curriculum to train quantitative system physiologists and biomedical engineers to address research issues in metabolic, diabetes, cardiovascular, and renal research .

描述（由申请人提供）： 该申请建议建立系统生理学和分析跨学科研究生教育项目。拟议的教育计划是纽约州立大学石溪分校生理学和生物物理学系以及生物医学工程系系统和生物信息学小组的共同努力。教育目标是设计研究生课程，培养具有物理、工程、化学或数学背景的现代系统生理学、数学建模和生物医学系统分析的新生。学生将被联合招收到两个系，并共享一系列核心课程。除了现有的细胞和分子生物学、人体生理学以及实验设计和统计学课程外，该课程还将包括三门新课程以及对最近开设的两门课程的修改： 。生理系统的计算模型，一门新课程，重点关注肾上皮转运、细胞信号传导和代谢底物转运。 。系统生理学实验技术，一门新课程，重点是从大鼠和小鼠中获取心血管、神经、肾脏和代谢数据。 。高级综合生物学：糖尿病病理学，这是一门新课程，旨在汇集在从分子结构到整个动物的层面上探索这种复杂的系统性疾病时学到的概念，以及从数学建模到结构生物学的方法。 。实验设计和数据分析，一门现有课程，重点是与生理研究中当前使用的基本实验方法和技术相关的数据采集、信号处理和统计分析。本课程将进行修改。 。基于时间序列的生物数据建模，现有课程，重点是心电图变异性、肾血流动力学、中枢呼吸节律生成的分析。本课程将进行修改。 自成立以来，生理学与生物物理学系已成功招募和培养了物理和工程科学领域的学生，教师的研究兴趣非常广泛，涵盖系统生理学和结构生物学。该部门在少数民族招募和培训方面制定了成功的计划。生物医学工程系统和生物信息学小组聘请了一批令人印象深刻的充满热情的年轻教师，他们的研究具有强大的实验和工程成分。结合药理科学系和生理学与生物物理学系在糖尿病/代谢研究方面的专业知识，这些部分已准备就绪，可以创建创新的研究生课程，以培训定量系统生理学家和生物医学工程师，以解决代谢、糖尿病、心血管和肾脏研究中的研究问题。

项目成果

Differences in pHi recovery in CO2-chemosensitive and non-chemosensitive cells: predictions from a mathematical model.

CO2 化学敏感细胞和非化学敏感细胞中 pHi 恢复的差异：数学模型的预测。

• DOI: 10.1109/iembs.2006.260895
• 发表时间: 2006
• 期刊: Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference
• 作者: Cordovez,JuanM;Clausen,Chris;Moore,LeonC;Solomon,IreneC
• 通讯作者: Solomon,IreneC

A mathematical model of pH(i) regulation in central CO2- chemoreception.

中枢 CO2 化学感受 pH(i) 调节的数学模型。

• DOI: 10.1007/978-0-387-73693-8_53
• 发表时间: 2008
• 期刊: Advances in experimental medicine and biology
• 作者: Cordovez,JuanM;Clausen,Chris;Moore,LeonC;Solomon,IreneC
• 通讯作者: Solomon,IreneC