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RA 图谱:构建类风湿关节炎的最先进交互式知识库。

RA-map: building a state-of-the-art interactive knowledge base for rheumatoid arthritis.

机构信息

Laboratoire Européen de Recherche pour la Polyarthrite Rhumatoïde - Genhotel, Univ Evry, Université Paris-Saclay, 2, rue Gaston Crémieux, 91057 EVRY-GENOPOLE cedex, Evry, France.

Arthritis and Tissue Degeneration Program, Hospital for Special Surgery, 535 East 70th Street, New York, NY 10021, USA.

出版信息

Database (Oxford). 2020 Jan 1;2020. doi: 10.1093/database/baaa017.

Abstract

Rheumatoid arthritis (RA) is a progressive, inflammatory autoimmune disease of unknown aetiology. The complex mechanism of aetiopathogenesis, progress and chronicity of the disease involves genetic, epigenetic and environmental factors. To understand the molecular mechanisms underlying disease phenotypes, one has to place implicated factors in their functional context. However, integration and organization of such data in a systematic manner remains a challenging task. Molecular maps are widely used in biology to provide a useful and intuitive way of depicting a variety of biological processes and disease mechanisms. Recent large-scale collaborative efforts such as the Disease Maps Project demonstrate the utility of such maps as versatile tools to organize and formalize disease-specific knowledge in a comprehensive way, both human and machine-readable. We present a systematic effort to construct a fully annotated, expert validated, state-of-the-art knowledge base for RA in the form of a molecular map. The RA map illustrates molecular and signalling pathways implicated in the disease. Signal transduction is depicted from receptors to the nucleus using the Systems Biology Graphical Notation (SBGN) standard representation. High-quality manual curation, use of only human-specific studies and focus on small-scale experiments aim to limit false positives in the map. The state-of-the-art molecular map for RA, using information from 353 peer-reviewed scientific publications, comprises 506 species, 446 reactions and 8 phenotypes. The species in the map are classified to 303 proteins, 61 complexes, 106 genes, 106 RNA entities, 2 ions and 7 simple molecules. The RA map is available online at ramap.elixir-luxembourg.org as an open-access knowledge base allowing for easy navigation and search of molecular pathways implicated in the disease. Furthermore, the RA map can serve as a template for omics data visualization.

摘要

类风湿关节炎(RA)是一种病因不明的进行性、炎症性自身免疫性疾病。该疾病的发病机制、进展和慢性化的复杂机制涉及遗传、表观遗传和环境因素。为了了解疾病表型的分子机制,人们必须将所涉及的因素置于其功能背景下。然而,以系统的方式整合和组织这些数据仍然是一项具有挑战性的任务。分子图谱在生物学中被广泛用于提供一种有用且直观的方式来描绘各种生物学过程和疾病机制。最近的大规模合作努力,如疾病图谱项目,证明了这些图谱作为组织和以全面、人机可读的方式形式化特定疾病知识的通用工具的实用性。我们提出了一项系统的努力,以构建一个完全注释、专家验证的 RA 最新知识图谱,以分子图谱的形式呈现。RA 图谱说明了疾病中涉及的分子和信号通路。使用系统生物学图形符号(SBGN)标准表示法,从受体到细胞核描绘信号转导。高质量的手动注释、仅使用人类特异性研究以及专注于小规模实验的方法旨在限制图谱中的假阳性。该 RA 最新分子图谱使用了 353 篇同行评审科学出版物中的信息,包含 506 个物种、446 个反应和 8 个表型。图谱中的物种被分类为 303 个蛋白质、61 个复合物、106 个基因、106 个 RNA 实体、2 个离子和 7 个简单分子。RA 图谱可在线获取,网址为 ramap.elixir-luxembourg.org,作为一个开放访问知识库,允许轻松导航和搜索疾病中涉及的分子途径。此外,RA 图谱可以作为组学数据可视化的模板。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/70d5/7170216/9b344091036b/baaa017f1.jpg

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