IIBR Multidisciplinary: Exact internuclear distance and dynamics measurements in RNA molecules by a novel nuclear magnetic resonance technique
IIBR Multidisciplinary: Exact internuclear distance and dynamics measurements in RNA molecules by a novel nuclear magnetic resonance technique
批准号:
1917254
负责人:
Beat Vogeli
金额:
$48.48万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2019
资助国家:
美国
项目状态:
已结题
起止时间:
2019-10-01 至 2022-09-30
中文摘要
科罗拉多大学安舒茨医学中心被授予开发一种核磁共振(核磁共振)协议,以常规地确定高分辨率核糖核酸(RNA)结构及其动力学,完全基于经验数据,只需少量的实验工作。虽然将核磁共振数据转换为原子间距离需要深入了解基本的物理和数学知识,但将要开发的软件将使这方面的知识变得不必要。该项目特别涉及RNA,但其中一些方法也将提高对蛋白质的适用性。再加上测量时间的预期减少,这将使该协议对核磁共振光谱学和结构生物学社区具有吸引力。在教育方面,RNA分子的结构动力学研究在很大程度上没有代表性,而科学界的重点则集中在平均结构表征上。大分子及其相互作用本质上是动态的,这就是为什么学习如何同时评估运动和结构是至关重要的。因此,指导学生如何弥合这一差距是这个拟议项目的关键部分,特别是考虑到大分子动力学实验的一般领域在最近几年发展迅速。来自科罗拉多大学RNA生物科学计划\暑期实习计划的一名暑期学生将被招募,该计划为来自研究计划有限的机构的学生提供获得顶级研究经验的途径。RNA不仅是将遗传密码翻译成蛋白质的模板,而且还执行各种重要的细胞功能。对这些功能的理解完全依赖于原子分辨率的结构排列的知识,以及越来越明显的RNA分子的构象动力学。几乎一半的已确定的RNA结构已经被核磁共振解析。然而,仅从最流行和最成功的核磁共振探针--核Overhauser增强(NOE)中很难获得高分辨率的RNA结构。取而代之的是,需要许多额外的半经验约束和只有专家才能获得的劳动密集型技术才能获得结构平均值,并且只有几个通过实验得出的结构集合代表了真实的空间采样。因此,结构生物界需要新的方法来改善可以收集和用于RNA结构确定的结构数据池。原则上,NOE直接取决于两个原子之间的距离。然而,NOE被用作半定量的上限距离约束。这种约束的不精确性质意味着关于结构和动力学的重要信息丢失。我们的想法是精确测量NOE(ENOE),它可以转换为严格的距离限制。在理想情况下,这样的距离可以测量到大约10-11米的精度,并且可以对一个RNA分子中的数百个质子对进行测量。该项目建议建立一种有效的协议,以使用精确NOE(ENOE)方法来改进所有大小的RNA的核磁共振结构,使RNA研究人员能够计算小RNA的多态结构系综,并改善较大RNA的平均结构或特定的局部结构方面。该项目的智能优点是,enoe距离将改进所有类型确定的核磁共振结构:i)小RNA(多达20个核苷酸)的结构可以在没有任何其他限制的情况下以高分辨率定义;enoe还可以用于计算多态结构系综,以现实地采样它们的构象空间;ii)更大的RNA分子将导致改进的平均结构。我们将从我们的网页上免费下载核磁共振脉冲序列代码和我们的enoe分析程序Enora。该方案应该有助于研究人员以更高的分辨率研究RNA结构,这是更好地理解RNA功能的先决条件。该奖项反映了NSF的法定使命,并通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
An award is made to the University of Colorado Anschutz Medical Center to develop a Nuclear Magnetic Resonance (NMR) protocol to routinely determine high-resolution ribonucleic acid (RNA) structures and their dynamics based exclusively on empirical data with modest experimental effort. Although the conversion of the NMR data into interatomic distances requires in-depth understanding of the underlying physics and mathematics, the software to be developed will render this knowledge unnecessary. The project specifically concerns RNA, but some of the methods will boost the applicability to proteins as well. In combination with the anticipated reduction in measuring time, this will make the protocol attractive to the NMR spectroscopy and structural biology communities. Educationally, structural dynamics studies of RNA molecules have been largely unrepresented while the scientific communities' focus has centered on average structural representation. Macromolecules and their interactions are dynamic in nature and this is why it is critical to learn how to evaluate motions in parallel with structure. Thus, mentoring students on how to bridge this gap is a critical part of this proposed project, especially considering that the general field of macromolecular dynamics experimentation has moved quickly within recent years. A summer student from the RNA Bioscience Initiative \ Summer Internship Program at the University of Colorado will be recruited, which offers access to top-level research experience for students from institutions with limited research programs.RNA not only is the template for translating the genetic code into proteins, but also carries out diverse important cellular functions. Understanding these functions absolutely depends on knowledge of the structural arrangement at atomic resolution, and, as is becoming increasingly evident, the conformational dynamics of RNA molecules. Almost one-half of the determined RNA structures have been solved by NMR. However, high-resolution RNA structures can rarely be obtained from the most popular and successful NMR probe alone, the Nuclear Overhauser Enhancement (NOE). Instead, many additional semi-empirical restraints and labor-intensive techniques only accessible to experts are required to obtain a structural average, and there are only a few experimentally derived ensembles of structures representing realistic spatial sampling. Therefore, the structural biology community is in need of novel methods that improve the pool of structural data that can be collected and used for RNA structure determination. In principle, the NOE directly depends on the distance between two atoms. However, the NOE is employed as a semi-quantitative upper limit distance restraint. The non-exact nature of this restraint means that important information about structure and dynamics is lost. It is our idea to measure the NOE exactly (eNOE), which can be converted into a tight distance limit. In ideal cases, such a distance can be measured to an accuracy of ca. 10-11 meters and can be obtained for hundreds of proton pairs in an RNA molecule. These project proposes to establish an efficient protocol to improve NMR structures of RNA of all sizes using the exact NOE (eNOE) approach, enabling RNA researchers to calculate multi-state structural ensembles for small RNAs, and improving average structures or specific local structural aspects for larger RNAs. It is the intellectual merit of this project that the eNOE distance will improve all types of determined NMR structures: i) structures of small RNAs (up to 20 nucleotides) may be defined at high resolution without any other restraints; the eNOE can also be used to calculate multi-state structural ensembles to realistically sample their conformational space, ii) larger RNA molecules will result in improved average structures. We will offer NMR pulse sequence codes and our eNOE analysis program eNORA for free download from our webpage. This protocol should help researchers to study RNA structures at higher resolution, a prerequisite for better understanding of RNA function.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
期刊论文(10)
专著(0)
科研奖励(0)
会议论文
登录
查看更多内容
DOI:
10.1016/j.str.2020.06.001
发表时间:
2020-09-01
期刊:
STRUCTURE
影响因子:
5.7
作者:
[Grohe, Kristof, Patel, Snehal, Linser, Rasmus]
通讯作者:
Linser, Rasmus
Recognition of non-CpG repeats in Alu and ribosomal RNAs by the Z-RNA binding domain of ADAR1 induces A-Z junctions.
通过ADAR1的Z-RNA结合结构域在ALU和核糖体RNA中识别非CPG重复序列会诱导A-Z连接。
DOI:
10.1038/s41467-021-21039-0
发表时间:
2021-02-04
期刊:
Nature communications
影响因子:
16.6
作者:
[Nichols PJ, Bevers S, Henen M, Kieft JS, Vicens Q, Vögeli B]
通讯作者:
Vögeli B
DOI:
10.1021/jacs.1c06289
发表时间:
2021-10-06
期刊:
Journal of the American Chemical Society
影响因子:
15
作者:
[Born A, Soetbeer J, Breitgoff F, Henen MA, Sgourakis N, Polyhach Y, Nichols PJ, Strotz D, Jeschke G, Vögeli B]
通讯作者:
Vögeli B
DOI:
10.1016/j.mrl.2021.10.003
发表时间:
2022-05
期刊:
Magnetic resonance letters
影响因子:
--
作者:
[Born, Alexandra, Henen, Morkos A., Nichols, Parker J., Vogeli, Beat]
通讯作者:
Vogeli, Beat
DOI:
10.1038/s41467-022-32340-x
发表时间:
2022-08-04
期刊:
Nature communications
影响因子:
16.6
作者:
[]
通讯作者:
共 7 条
Structural characterization of the mechanism leading to recognition of Alu elements by the Z-RNA-binding domain of ADAR1
-
批准号:2153787
-
项目类别:Standard Grant
-
资助金额:$100.0万
-
财政年份:2022
-
负责人:Beat Vogeli
-
依托单位:
海外基金