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丹参多组学数据库(SmilODB):唇形科药用植物丹参的多组学数据库

SmilODB: a multi-omics database for the medicinal plant danshen (, Lamiaceae).

作者信息

Liu Yong-Hui, Zeng Wen-Qiong, Tao Si-Fan, Du Yi-Nuo, Yu Fei-Hong, Qi Zhe-Chen, Yang Dong-Feng

机构信息

Zhejiang Province Key Laboratory of Plant Secondary Metabolism and Regulation, College of Life Sciences and Medicine, Zhejiang Sci-Tech University, Hangzhou, China.

出版信息

Front Plant Sci. 2025 May 20;16:1586268. doi: 10.3389/fpls.2025.1586268. eCollection 2025.

Abstract

INTRODUCTION

Bunge (Danshen) is a traditional medicinal plant widely used in the treatment of cardiovascular and inflammatory diseases. Although various omics resources have been published, there remains a lack of an integrated platform to unify genomic, transcriptomic, proteomic, and metabolomic data.

METHODS

To address this gap, we constructed the Multi-omics Database (SmilODB, http://www.isage.top:56789/), which systematically integrates publicly available genome assemblies, transcriptome datasets, metabolic pathway annotations, and protein structural predictions. Protein structures were predicted using the RoseTTAFold algorithm, and all data were visualized using interactive heat maps, line charts, and histograms.

RESULTS

SmilODB includes: (i) two genome assemblies of , (ii) 48 tissue-specific transcriptome datasets from root, leaf, and other vegetative tissues, (iii) annotated biosynthetic pathways for bioactive compounds such as tanshinones and salvianolic acids, and (iv) 2,967 high-confidence protein models. The database also integrates bioinformatics tools such as genome browsers, BLAST, and gene heatmap generators.

DISCUSSION

SmilODB provides an accessible and comprehensive platform to explore multi-omics data related to . It serves as a valuable resource for both basic and applied research, facilitating advances in the understanding of this medicinal plant's molecular mechanisms and therapeutic potential.

摘要

引言

丹参是一种传统药用植物,广泛用于治疗心血管疾病和炎症性疾病。尽管已经发表了各种组学资源,但仍然缺乏一个统一的平台来整合基因组、转录组、蛋白质组和代谢组数据。

方法

为了填补这一空白,我们构建了多组学数据库(SmilODB,http://www.isage.top:56789/),该数据库系统地整合了公开可用的基因组组装、转录组数据集、代谢途径注释和蛋白质结构预测。使用RoseTTAFold算法预测蛋白质结构,并使用交互式热图、折线图和直方图对所有数据进行可视化。

结果

SmilODB包括:(i)两种丹参的基因组组装,(ii)来自根、叶和其他营养组织的48个组织特异性转录组数据集,(iii)丹参酮和丹酚酸等生物活性化合物的注释生物合成途径,以及(iv)2967个高可信度蛋白质模型。该数据库还整合了基因组浏览器、BLAST和基因热图生成器等生物信息学工具。

讨论

SmilODB提供了一个可访问的综合平台来探索与丹参相关的多组学数据。它是基础研究和应用研究的宝贵资源,有助于推动对这种药用植物分子机制和治疗潜力的理解。

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