MDDOmics:重度抑郁症的多组学资源。

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC ACS Applied Electronic Materials Pub Date : 2024-06-25 DOI:10.1093/database/baae042
Yichao Zhao, Ju Xiang, Xingyuan Shi, Pengzhen Jia, Yan Zhang, Min Li
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引用次数: 0

摘要

重度抑郁障碍(MDD)是一个紧迫的全球性健康问题。其发病机制至今仍难以捉摸,但大量研究揭示了它与各种生物因素之间错综复杂的联系。因此,迫切需要一个全面的多组学资源来帮助研究人员对 MDD 进行多组学数据分析。为了解决这个问题,我们构建了MDDOmics数据库(Major Depressive Disorder Omics,https://www.csuligroup.com/MDDOmics/),该数据库整合了大量已发表的与MDD相关的多组学数据。该数据库包含 41 222 个 MDD 研究成果条目和多个原始数据集,包括单核苷酸多态性、基因、非编码 RNA、DNA 甲基化、代谢物和蛋白质,并提供各种搜索和可视化界面。我们还对收集到的 MDD 数据进行广泛的下游分析,包括差异分析、富集分析和疾病基因预测。此外,由于在区分 MDD 和类似精神疾病方面存在挑战,该数据库还纳入了双相情感障碍、精神分裂症和焦虑症的多组学数据。总之,通过利用 MDDOmics 丰富的内容和在线界面,研究人员可以从不同角度对 MDD 及其类似疾病进行更全面的分析,从而更深入地了解 MDD 的潜在生物标记物和错综复杂的疾病发病机制。数据库网址:https://www.csuligroup.com/MDDOmics/.
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MDDOmics: multi-omics resource of major depressive disorder.

Major depressive disorder (MDD) is a pressing global health issue. Its pathogenesis remains elusive, but numerous studies have revealed its intricate associations with various biological factors. Consequently, there is an urgent need for a comprehensive multi-omics resource to help researchers in conducting multi-omics data analysis for MDD. To address this issue, we constructed the MDDOmics database (Major Depressive Disorder Omics, (https://www.csuligroup.com/MDDOmics/), which integrates an extensive collection of published multi-omics data related to MDD. The database contains 41 222 entries of MDD research results and several original datasets, including Single Nucleotide Polymorphisms, genes, non-coding RNAs, DNA methylations, metabolites and proteins, and offers various interfaces for searching and visualization. We also provide extensive downstream analyses of the collected MDD data, including differential analysis, enrichment analysis and disease-gene prediction. Moreover, the database also incorporates multi-omics data for bipolar disorder, schizophrenia and anxiety disorder, due to the challenge in differentiating MDD from similar psychiatric disorders. In conclusion, by leveraging the rich content and online interfaces from MDDOmics, researchers can conduct more comprehensive analyses of MDD and its similar disorders from various perspectives, thereby gaining a deeper understanding of potential MDD biomarkers and intricate disease pathogenesis. Database URL: https://www.csuligroup.com/MDDOmics/.

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来源期刊
CiteScore
7.20
自引率
4.30%
发文量
567
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