Open Longevity, 15260 Ventura Blvd, STE 2230, Sherman Oaks, CA 91403, USA.
Faculty of Cytology and Genetics, National Research Tomsk State University, Tomsk 634050, Russia.
Nucleic Acids Res. 2024 Jan 5;52(D1):D950-D962. doi: 10.1093/nar/gkad712.
The Open Genes database was created to enhance and simplify the search for potential aging therapy targets. We collected data on 2402 genes associated with aging and developed convenient tools for searching and comparing gene features. A comprehensive description of genes has been provided, including lifespan-extending interventions, age-related changes, longevity associations, gene evolution, associations with diseases and hallmarks of aging, and functions of gene products. For each experiment, we presented the necessary structured data for evaluating the experiment's quality and interpreting the study's findings. Our goal was to stay objective and precise while connecting a particular gene to human aging. We distinguished six types of studies and 12 criteria for adding genes to our database. Genes were classified according to the confidence level of the link between the gene and aging. All the data collected in a database are provided both by an API and a user interface. The database is publicly available on a website at https://open-genes.org/.
Open Genes 数据库的创建旨在增强和简化寻找潜在的衰老治疗靶点的过程。我们收集了 2402 个与衰老相关的基因数据,并开发了方便的搜索和比较基因特征的工具。我们提供了基因的全面描述,包括延长寿命的干预措施、与年龄相关的变化、长寿相关联、基因进化、与疾病和衰老标志的关联以及基因产物的功能。对于每个实验,我们提供了评估实验质量和解释研究结果所需的结构化数据。我们的目标是在将特定基因与人类衰老联系起来时保持客观和准确。我们区分了六种类型的研究和将基因添加到我们数据库的 12 个标准。基因根据基因与衰老之间联系的置信水平进行分类。数据库中收集的所有数据都通过 API 和用户界面提供。该数据库可在网站 https://open-genes.org/ 上公开获取。