RCDdb: A manually curated database and analysis platform for regulated cell death

IF 4.4 2区 生物学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
Xiaopeng Wang, Qing Wang, Jun Zhao, Jiaxin Chen, Ruo Wu, Juanjuan Pan, Jiaxin Li, Zechang Wang, Yongchang Chen, Wenting Guo, Yuanyuan Li
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Abstract

Regulated cell death is a pivotal regulatory mechanism governing the development and homeostasis of multicellular organisms. A comprehensive understanding of RCD's regulatory mechanisms is crucial for developing novel therapeutic strategies against diseases associated with cell death, such as cancer and neurodegenerative diseases. However, existing data repositories support limited types of cell death data and lack comprehensive annotation and analytical functionalities. Thus, establishing an extensive cell death database is an urgent imperative. To address this gap, we developed the Regulated Cell Death Database (RCDdb, chenyclab.com/RCDdb), the first comprehensively manually annotated database designed to support annotations and analytical capabilities across all RCD types. We compiled 3090 marker gene annotations associated with 15 RCD types from 2180 relevant articles. The RCDdb includes annotation data on these marker genes concerning diseases, drugs, pathways, proteins, and gene expressions. Furthermore, it provides 49 diverse visualization methods to present this information. More importantly, the RCDdb features three online analysis tools for identifying and analyzing RCD-related features within user-submitted data. Furthermore, the RCDdb offers a user-friendly interface for querying, browsing, analysis, and visualization of detailed information associated with each RCD category. This resource promises to significantly aid researchers in better understanding the mechanisms of cell death, thereby accelerating progress in research and therapeutic strategies aimed at combating RCD-related diseases.
RCDdb:人工编辑的受调控细胞死亡数据库和分析平台
调节性细胞死亡是多细胞生物体发育和平衡的关键调节机制。全面了解调节性细胞死亡的调控机制对于开发新型治疗策略以应对与细胞死亡相关的疾病(如癌症和神经退行性疾病)至关重要。然而,现有的数据资源库支持的细胞死亡数据类型有限,而且缺乏全面的注释和分析功能。因此,建立一个广泛的细胞死亡数据库迫在眉睫。为了填补这一空白,我们开发了受调控细胞死亡数据库(RCDdb,chenyclab.com/RCDdb),这是首个全面人工注释的数据库,旨在支持所有受调控细胞死亡类型的注释和分析功能。我们从 2180 篇相关文章中汇编了与 15 种 RCD 类型相关的 3090 个标记基因注释。RCDdb 包括这些标记基因的注释数据,涉及疾病、药物、通路、蛋白质和基因表达。此外,它还提供了 49 种不同的可视化方法来展示这些信息。更重要的是,RCDdb 具有三个在线分析工具,用于识别和分析用户提交数据中与 RCD 相关的特征。此外,RCDdb 还提供了友好的用户界面,用于查询、浏览、分析和可视化与每个 RCD 类别相关的详细信息。该资源有望极大地帮助研究人员更好地了解细胞死亡的机制,从而加快研究和治疗策略的进展,以防治 RCD 相关疾病。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Computational and structural biotechnology journal
Computational and structural biotechnology journal Biochemistry, Genetics and Molecular Biology-Biophysics
CiteScore
9.30
自引率
3.30%
发文量
540
审稿时长
6 weeks
期刊介绍: Computational and Structural Biotechnology Journal (CSBJ) is an online gold open access journal publishing research articles and reviews after full peer review. All articles are published, without barriers to access, immediately upon acceptance. The journal places a strong emphasis on functional and mechanistic understanding of how molecular components in a biological process work together through the application of computational methods. Structural data may provide such insights, but they are not a pre-requisite for publication in the journal. Specific areas of interest include, but are not limited to: Structure and function of proteins, nucleic acids and other macromolecules Structure and function of multi-component complexes Protein folding, processing and degradation Enzymology Computational and structural studies of plant systems Microbial Informatics Genomics Proteomics Metabolomics Algorithms and Hypothesis in Bioinformatics Mathematical and Theoretical Biology Computational Chemistry and Drug Discovery Microscopy and Molecular Imaging Nanotechnology Systems and Synthetic Biology
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