Graduate Training in Systems Physiology & Analysis

描述(由申请人提供)： 该申请建议建立一个跨学科的系统生理学与分析研究生教育计划。拟议的教育项目是纽约州立大学石溪分校生理学和生物物理系和生物医学工程系系统和生物信息学小组的联合努力。教育目标是设计研究生课程，以培养具有现代系统生理学、数学建模和生物医学系统分析方面的物理、工程、化学或数学背景的新生。学生将被联合招募到这两个系，并分享一系列核心课程。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和对两门新设立的课程的修改： 。生理系统的计算模型，这是一门新课程，重点是肾上皮运输、细胞信号传递和代谢底物运输。 。系统生理学中的实验技术，这是一门新课程，重点是从大鼠和小鼠身上获取心血管、神经、肾脏和代谢数据。 。高级综合生物学：糖尿病的病理生物学，这是一门新课程，旨在汇集从分子结构到整个动物的水平探索这种复杂的系统性疾病所学到的概念，以及从数学建模到结构生物学的各种方法。 。实验设计和数据分析，这是一门现有的课程，重点是数据采集、信号处理和统计分析，与目前在生理学研究中使用的基本实验方法和技术有关。本课程将进行修改。 。基于时间序列的生物数据建模，这是一门现有的课程，重点是心电变异性、肾脏血流动力学、中枢呼吸节律生成的分析。本课程将进行修改。 自成立以来，生理学和生物物理系已经成功地从物理和工程科学中招聘和培训了学生，教职员工拥有异常广泛的研究兴趣，横跨系统生理学和结构生物学。该部在少数族裔招聘和培训方面制定了一个成功的方案。生物医学工程中的系统和生物信息学小组已经聘请了一批热情的年轻教员来进行他们的研究，他们拥有强大的实验和工程组件。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，这些部分已到位，以创建创新的研究生课程，以培养定量系统生理学家和生物医学工程师，以解决代谢、糖尿病、心血管和肾脏研究方面的研究问题。

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 .