BIO2010

这个子项目是许多利用资源的研究子项目之一 由NIH/NCRR资助的中心拨款提供。子项目的主要支持 而子项目的主要调查员可能是由其他来源提供的， 包括其它NIH来源。 列出的子项目总成本可能 代表子项目使用的中心基础设施的估计数量， 而不是由NCRR赠款提供给子项目或子项目工作人员的直接资金。 OK-INBRE本科合作机构现在负责考虑如何“重塑”俄克拉荷马州的本科科学课程沿着生物2010模型（生物2010：为未来的研究生物学家转变本科教育，由国家研究理事会的国家科学院，2003年;国家科学院，华盛顿，DC）。 我们希望这些课程改革将在下一轮OK-INBRE资助期间逐步实施。 为了开始这种新型的多学科教学，在下一个资助期，我们建议为PUI学生提供两个不同的为期一周的课程模块，由生物信息学和附属MRI核心设施主任开发。 简单地说，戴尔博士和生物信息学核心提供的课程的目标是向学生介绍系统发育分析使用免费的生物信息学资源可从网络上。 学生将接触到进化的原则，序列数据库，序列比较和分析，序列相似性搜索，多序列比对和系统发育树的构建。 在本单元的最后，学生应该了解生物信息学资源在从序列数据集中阐明重要和相关的进化信息方面的应用。 该模块将侧重于使用遗传学进行功能分配，确定基因之间的同源关系，并构建生物体之间的同源性。 本课程将在高年级分子生物学，遗传学，微生物学或进化课程中教授，并将连接生物学，化学，数学和计算机科学。 该模块将提供两次在学年在不同的PUI，以及在夏季研究计划在OUHSC校园。 OK-INBRE PUI的其他多学科课程将由位于OMRF的附属MRI核心设施的托纳博士授课。 生物医学成像包含多个学科。 物理学和化学用于在原子水平上理解MRI中的质子和CT扫描中的X射线如何生成用于生成可用于医学诊断的解剖图像的信号。 图像显示和处理涉及数学算法的使用，例如MRI中的傅立叶变换。 生物物理过程，例如选择性造影剂摄取、水扩散和灌注，涉及组合的生物学、物理学和化学概念。 扩展MRI以获得与病理过程相关的代谢信息涉及对化学和生物化学的强烈依赖。 分子成像结合了分子特异性亲和成分以及报告或信号成分，并涉及分子生物学（免疫学，细胞生物学）和化学（分子探针的合成，药代动力学）。 成像分析涉及使用数学和计算机编程对可以从数据中获得的形态、分子、功能和代谢信息进行后处理和定量评估。该生物2010模块将针对生物化学，化学，免疫学，细胞生物学和物理学的高年级本科生。 该模块将提供两次在学年，以及在夏季研究计划在OMRF（见附录的详细大纲和教学大纲，这两个新的生物2010多学科模块课程）。

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. Primary support for the subproject and the subproject's principal investigator may have been provided by other sources, including other NIH sources. The Total Cost listed for the subproject likely represents the estimated amount of Center infrastructure utilized by the subproject, not direct funding provided by the NCRR grant to the subproject or subproject staff. OK-INBRE undergraduate partner institutions is now charged with considering how to "reinvent" Oklahoma's undergraduate science curriculum along the lines of the Bio2010 model (Bio2010: Transforming Undergraduate Education for Future Research Biologists, by the National Research Council of the National Academies, 2003; National Academies of Science, Washington, DC). It is our expectation that these curriculum changes will be implemented incrementally during the next round of OK-INBRE funding. To begin this new type of multidisciplinary teaching, in the next funding period, we propose to provide to PUI students two different week-long course modules developed by the Bioinformatics and accessory MRI Core facility directors. Briefly, the course provided by Dr. Dyer and the Bioinformatics Core has the goal of introducing the students to phylogenetic analyses using free bioinformatics resources available from the web. The students will be exposed to the principles of evolution, sequence databases, sequence comparisons and analyses, sequence similarity searching, multiple sequence alignments, and phylogenetic tree building. Towards the end of this module, the students should understand the applications of bioinformatics resources towards elucidating important and relevant evolutionary information from a sequence dataset. The module will focus on using phylogenetics to make functional assignments, identify homologous relationships between genes, and construct phylogenies between organisms. This course will be taught in upper division molecular biology, genetics, microbiology, or evolution courses and will bridge the disciplines of biology, chemistry, mathematics and computer science. The module will be offered twice in the academic calendar year at various PUIs, as well as during the summer research program on the OUHSC campus. The other multidisciplinary course to be offered to the OK-INBRE PUIs will be taught by Dr. Towner from the accessory MRI core facility located at the OMRF. Biomedical imaging incorporates multiple disciplines. Physics and chemistry are used to understand at the atomic level how protons in MRI and X-rays in CT scans can generate the signals used to generate anatomical images that can be applied for medical diagnosis. Image display and processing involves the use of mathematical algorithms, such as Fourier Transformation in MRI. Biophysical processes, such as selective contrast agent uptake, water diffusion and perfusion, involve combined biology, physics and chemistry concepts. The extension of MRI to obtain metabolic information associated with pathological processes involves a strong reliance on chemistry and biochemistry. Molecular imaging incorporates a molecular-specific affinity component as well as a reporting or signaling component and draws molecular biology (immunology, cell biology) and chemistry (synthesis of molecular probes, pharmacokinetics). Imaging analysis involves the use of mathematical and computer programming for post-processing and quantitative assessment of morphological, molecular, functional and metabolic information that can be obtained from the data. This Bio2010 module will be targeted towards upper division undergraduate students in biochemistry, chemistry, immunology, cell biology, and physics. The module will be offered twice in the academic calendar year, as well as during the summer research program at the OMRF (see Appendix for detailed outlines and syllabi for both of these new Bio2010 multidisciplinary module courses).