State Key Laboratory for Quality Ensurance and Sustainable Use of Dao-di Herbs, National Resource Center for Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100000, China.
Institute of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China.
Nucleic Acids Res. 2024 Jan 5;52(D1):D1347-D1354. doi: 10.1093/nar/gkad898.
Medicinal plants have garnered significant attention in ethnomedicine and traditional medicine due to their potential antitumor, anti-inflammatory and antioxidant properties. Recent advancements in genome sequencing and synthetic biology have revitalized interest in natural products. Despite the availability of sequenced genomes and transcriptomes of these plants, the absence of publicly accessible gene annotations and tabular formatted gene expression data has hindered their effective utilization. To address this pressing issue, we have developed IMP (Integrated Medicinal Plantomics), a freely accessible platform at https://www.bic.ac.cn/IMP. IMP curated a total of 8 565 672 genes for 84 high-quality genome assemblies, and 2156 transcriptome sequencing samples encompassing various organs, tissues, developmental stages and stimulations. With the integrated 10 analysis modules, users could simply examine gene annotations, sequences, functions, distributions and expressions in IMP in a one-stop mode. We firmly believe that IMP will play a vital role in enhancing the understanding of molecular metabolic pathways in medicinal plants or plants with medicinal benefits, thereby driving advancements in synthetic biology, and facilitating the exploration of natural sources for valuable chemical constituents like drug discovery and drug production.
药用植物因其具有抗肿瘤、抗炎和抗氧化特性,在民族医学和传统医学中受到了广泛关注。近年来,基因组测序和合成生物学的发展重新激发了人们对天然产物的兴趣。尽管这些植物的基因组和转录组测序已经完成,但缺乏公开可访问的基因注释和表格格式的基因表达数据,这限制了它们的有效利用。为了解决这个紧迫的问题,我们开发了IMP(综合药用植物组学),这是一个可在 https://www.bic.ac.cn/IMP 免费访问的平台。IMP 为 84 个高质量基因组组装共整理了 8565672 个基因,以及 2156 个包含各种器官、组织、发育阶段和刺激的转录组测序样本。通过集成的 10 个分析模块,用户可以在 IMP 中一站式简单地检查基因注释、序列、功能、分布和表达。我们坚信,IMP 将在增强对药用植物或具有药用价值的植物分子代谢途径的理解方面发挥重要作用,从而推动合成生物学的发展,并促进对有价值的化学成分(如药物发现和药物生产)的天然来源的探索。