A curated, publically-accessible database of protein nanoscale organisation

蛋白质纳米级组织的精选、可公开访问的数据库

• 批准号: BB/X018644/1
• 负责人: Dylan Owen
• 金额: $ 72.75万
• 依托单位: University of Birmingham
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=BB%2FX018644%2F1
• 关键词: curated; publically; accessible; database; protein; curated; publically; accessible; database; protein

Current descriptions of cellular systems are incomplete. They can be characterised at the genomic, transcriptomic and proteomic level, but there is a final level: How those proteins are organised in 3D space. This information is now accessible to scientists because of the advent of super-resolution microscopy, especially single-molecule imaging (SMLM) which allows the positions of biomolecules to be mapped with nanometer precision. Well-curated, publically-accessible databases have been transformative across biology. Well established databases, such as GenBank are ubiquitously used, but the data they contain are relatively simplistic. Somewhat more complex data sets include protein structure databases, for example PDB and the associated predicted structures from DeepMind's AlphaFold2. This application builds on initial Alan Turing Institute, EPSRC and BBSRC investment with the aim to become a national and global resource for the storage, sharing, curating and processing of SMLM data. Once established, we will lay the foundations for a new field of -omics, nano-omics: the study of protein nanoscale organisation.Ultimatly, the resource will be a database where users can store, share and disseminate their SMLM data, benefitting the public engagement with science, aiding collaboration and helping meet data sharing mandates of funders and publishers. A community management structure will ensure the database follows best practice for research ethics and scientific excellence. The database will also feature advanced data analysis tools running in the cloud allwoing users to extract biologically relecvant information from uploaded datasets. This aids in bringing advanced statistical analysis to those without means and helping to democratize advanced imaging. Finally, we will conduct primary research into the meta-analysis of the uploaded data and initiate a new field of nano-omics - the study of the diversity of protein nanoscale organisation between proteins, cells and organisms.

细胞系统的当前描述不完整。它们可以在基因组，转录组和蛋白质组学水平上进行表征，但是有一个最终水平：这些蛋白如何在3D空间中组织。由于超分辨率显微镜的出现，尤其是单分子成像（SMLM），科学家现在可以访问此信息，该信息可以用纳米精度映射生物分子的位置。在生物学中，曲线良好，公开访问的数据库具有变革性。良好的数据库（例如GenBank）普遍使用，但是它们所包含的数据相对简单。更复杂的数据集包括蛋白质结构数据库，例如PDB和来自DeepMind AlphaFold2的相关预测结构。该应用程序建立在初始的Alan Turing Institute，EPSRC和BBSRC投资的基础上，目的是成为SMLM数据的存储，共享，策划和处理的国家和全球资源。建立后，我们将为一个新的 - 词素，纳米词：蛋白质纳米级组织的研究奠定基础。从事资源，资源将是一个数据库，用户可以在该数据库中存储，共享和散布其SMLM数据，使他们与科学协作，帮助与基金会协作的公众参与，以使资金共享的资金和出版商的数据共享受益。社区管理结构将确保数据库遵循研究伦理和卓越科学的最佳实践。该数据库还将配备在云中运行的高级数据分析工具，以从上传的数据集中提取生物学相关信息。这有助于将先进的统计分析带给那些没有手段的人，并帮助使先进的成像民主化。最后，我们将对上载数据的荟萃分析进行主要研究，并启动纳米词的新领域 - 蛋白质纳米级组织多样性蛋白质，细胞和生物体之间的多样性。