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.

项目概要 这是 NIBIB 生物结构多尺度分析研究生培训项目的更新 加州大学圣地亚哥分校的博士前培训生全部来自美国。 多尺度生物学的正式跨学科博士专业（“接口研究生培训” 计划”），其中包括来自 10 个排名靠前的本土博士项目（生物工程、 生物科学、生物医学、化学与生物化学、机械与航空航天 工程学、神经科学和物理学，以及材料科学与工程、化学工程和 纳米工程自 2015 年起加入）。学生在研究生第一年结束时申请此 T32。 该项目汇集了40名培训教师，本期资助了24名来自生物学院的学生 科学（2）、健康科学（9）、工程（5）和物理科学（8）其目标是培养新的干部。 能够跨越学科界限来解决跨领域的重要生物医学问题的科学家 迄今为止，已有 44 名界面学生毕业，其中 13 名是从分子到有机体的生物组织。 T32 的受训人员比例增加至 29%。 培训课程的一个核心特点是七门研究生实验室实践课程， 向学生介绍在生物尺度上测量和分析生命系统的先进技术 从分子到整个有机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。 关注生物结构和功能的多尺度分析反映了现代科学的根本挑战 生物医学科学开发和应用物理、工程、 生物和健康科学到生物医学的综合问题，包括常规计划活动。 每两周一次的研究生研讨会、年度研讨会和务虚会、课程开放日和季度计划 会议，促进不同学科的学生和教师之间的互动。 培训计划成功地促进了重要领域的新的跨学科合作，包括 发育生物学、神经科学和癌症、心血管疾病、诊断和药物发现。 此更新申请建议继续培训最多元化的学生团体，使其成为有效的领导者 生物功能的结构集成多尺度分析它将开发一门新的数据实验课程。 多尺度生物学科学，为学员创建一个新的校友导师网络，并建立一个结构化的 为未来的学生共同指导跨学科研究轮换。

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

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

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

Fibroblasts influence muscle progenitor differentiation and alignment in contact independent and dependent manners in organized co-culture devices.

• DOI: 10.1007/s10544-012-9709-9
• 发表时间: 2013-02
• 期刊: BIOMEDICAL MICRODEVICES
• 影响因子: 2.8
• 作者: Rao, Nikhil;Evans, Samantha;Stewart, Danique;Spencer, Katrina H.;Sheikh, Farah;Hui, Elliot E.;Christman, Karen L.
• 通讯作者: Christman, Karen L.