Training in Multi-scale Analysis of Biological Structure and Function

生物结构和功能多尺度分析培训

• 批准号: 10669614
• 负责人: Andrew D. McCulloch
• 金额: $ 28.76万
• 依托单位: UNIVERSITY OF CALIFORNIA, SAN DIEGO
• 依托单位国家: 美国
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-07-01 至 2024-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10669614
• 关键词: Biological; Structure; Training

Project Summary This is a renewal of an NIBIB Graduate Training Program in ​Multi-Scale Analysis of Biological Structure and Function at the University of California San Diego. Pre-doctoral trainees are drawn exclusively from a formal ​Interdisciplinary Ph.D. specialization in Multi-Scale Biology (the “Interfaces Graduate Training Program”), which includes students from 10 highly ranked participating home Ph.D. programs (Bioengineering, Biological Sciences, Biomedical Sciences, Chemistry and Biochemistry, Mechanical and Aerospace Engineering, Neurosciences and Physics, with Materials Science & Engineering, Chemical Engineering and Nanoengineering joining since 2015). Students apply at the end of their first year of graduate studies. This T32 program brings together 40 training faculty and supported 24 students in the current period are from Biological Sciences (2), Health Sciences (9), Engineering (5) and Physical Sciences (8). It’s goal is to train a new cadre of scientist who can cross disciplinary boundaries to solve important biomedical problem that span scales of biological organization from molecule to organism. To date 44 Interfaces students have graduated. 13 were trainees on this T32. URM representation increased to 29% A central feature of the training curriculum is seven hands-on graduate laboratory courses that introduce students to advanced techniques for measuring and analyzing living systems ​at scales of biological organization spanning from molecule to whole organism​. Students use state-of-the-art facilities and technologies from mass spectrometry to electron microscopy and magnetic resonance imaging. The scientific focus on multi-scale analysis of biological structure and function reflects a fundamental challenge of modern biomedical science in developing and applying novel quantitative approaches from the physical, engineering, biological and health sciences to integrative problems in biomedicine. Regular program activities, including bi-weekly graduate seminars, annual symposia and retreats, course open houses and quarterly program meetings, promote interactions between students and faculty from different disciplines. The dual-mentored training program is successful in promoting new interdisciplinary collaborations in important areas including developmental biology, neuroscience and cancer, cardiovascular disease, diagnostics and drug discovery. This renewal application proposes to continue to train the most diverse student body to be effective leaders in structurally integrated multi-scale analysis of biological function. It will develop a new lab course in Data Sciences for Multiscale Biology, create a new Alumni Mentor Network for trainees and a structured co-mentored interdisciplinary research rotation for prospective students.

项目摘要 这是对生物结构多尺度分析的尼比布研究生培训计划的续签 并在加利福尼亚大学圣地亚哥分校的功能。博士前学员仅从 正式的跨学科博士学位多尺度生物学专业化（“接口研究生培训 计划”），其中包括来自10位高度参与主学博士课程的学生（生物工程， 生物科学，生物医学科学，化学和生物化学，机械和航空航天 工程，神经科学和物理，材料科学与工程，化学工程和 自2015年以来加入纳米工程）。学生在研究生第一年结束时申请。这个T32 计划汇集了40位培训教师，并在当前时期为24名学生提供了支持 科学（2），健康科学（9），工程学（5）和物理科学（8）。它的目标是训练新的干部 科学家可以跨越学科边界以解决重要的生物医学问题 从分子到组织的生物组织。迄今为止，学生已经毕业了44个接口。 13岁 该T32的学员。 URM代表增加到29％ 培训课程的主要特征是七个动手实验室实验室 向学生介绍用于测量和分析生物学尺度生活系统的高级技术 从分子到整个生物体的组织。学生使用最先进的设施和 从质谱到电子显微镜和磁共振成像的技术。科学 专注于生物结构和功能的多尺度分析反映了现代的基本挑战 生物医学科学在开发和应用物理，工程学的新颖定量方法中 生物医学综合问题的生物学和健康科学。定期计划活动，包括 每两周一周的研究生半小伙 会议，促进来自不同学科的学生与教职员工之间的互动。双重委托 培训计划成功地促进了重要领域的新跨学科合作 发育生物学，神经科学和癌症，心血管疾病，诊断和药物发现。 这项更新的申请提案要继续培训最多样化的学生团体，以成为有效的领导者 生物功能的结构综合多尺度分析。它将开发新的数据实验室课程 多尺度生物学的科学，创建一个新的培训校友导师网络和一个结构化的 为潜在学生共同负责的跨学科研究轮换。

项目成果

Glycosylation and Crowded Membrane Effects on Influenza Neuraminidase Stability and Dynamics.

糖基化和拥挤膜对流感神经氨酸酶稳定性和动力学的影响。

• DOI: 10.1101/2023.09.10.556910
• 发表时间: 2023
• 期刊: bioRxiv : the preprint server for biology
• 作者: Seitz,Christian;Deveci,İlker;McCammon,JAndrew
• 通讯作者: McCammon,JAndrew

A positive feedback cell signaling nucleation model of astrocyte dynamics.

• DOI: 10.3389/fneng.2013.00004
• 发表时间: 2013
• 期刊: Frontiers in neuroengineering
• 作者: Macdonald CL;Silva GA
• 通讯作者: Silva GA

Understanding the dynamic relationship between cerebral blood flow and the BOLD signal: Implications for quantitative functional MRI.

• DOI: 10.1016/j.neuroimage.2015.03.080
• 发表时间: 2015-08-01
• 期刊: NeuroImage
• 影响因子: 5.7
• 作者: Simon AB;Buxton RB
• 通讯作者: Buxton RB

Bayesian parameter estimation for dynamical models in systems biology.

• DOI: 10.1371/journal.pcbi.1010651
• 发表时间: 2022-10
• 期刊: PLoS computational biology
• 影响因子: 4.3

Regulating cellular cyclic adenosine monophosphate: "Sources," "sinks," and now, "tunable valves".

• DOI: 10.1002/wsbm.1490
• 发表时间: 2020-09
• 期刊: Wiley interdisciplinary reviews. Systems biology and medicine
• 作者: Getz M;Rangamani P;Ghosh P
• 通讯作者: Ghosh P