A curated, publically-accessible database of protein nanoscale organisation

目前对蜂窝系统的描述是不完整的。它们可以在基因组、转录组和蛋白质组水平上进行表征，但还有最后一个层面：这些蛋白质在3D空间中是如何组织的。由于超分辨率显微镜的出现，特别是单分子成像(SMLM)的出现，科学家现在可以获得这些信息，单分子成像可以以纳米精度绘制生物分子的位置。精心策划的、公众可访问的数据库已经在整个生物学中产生了变革。成熟的数据库，如GenBank，被普遍使用，但它们包含的数据相对简单。稍微复杂一些的数据集包括蛋白质结构数据库，例如PDB和来自DeepMind的AlphaFold2的相关预测结构。该应用程序建立在艾伦·图灵研究所、EPSRC和BBSRC初始投资的基础上，旨在成为存储、共享、管理和处理SMLM数据的国家和全球资源。一旦建立，我们将为一个新的领域-组学，纳米组学-奠定基础：蛋白质纳米级组织的研究。最终，该资源将是一个数据库，用户可以在其中存储、共享和传播他们的SMLM数据，有利于公众参与科学，帮助合作，并帮助满足资助者和出版商的数据共享任务。社区管理结构将确保数据库遵循研究道德和科学卓越的最佳实践。该数据库还将以在云中运行的高级数据分析工具为特色，所有用户都可以从上传的数据集中提取与生物相关的信息。这有助于为那些没有经济能力的人带来先进的统计分析，并帮助普及先进的成像技术。最后，我们将对上传数据的荟萃分析进行初步研究，并开启纳米组学的一个新领域--研究蛋白质、细胞和生物之间蛋白质纳米尺度组织的多样性。

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.