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一种基于Hiplot的网络服务,用于乳腺癌冷大气等离子体高通量数据的整合与分析。

A Hiplot-based web service for cold atmospheric plasma high-throughput data integration and analysis on breast cancer.

作者信息

Dai Xiaofeng, Wang Mingjie, Liu Yang

机构信息

National Local Joint Engineering Research Center for Precision Surgery & Regenerative Medicine, Shaanxi Provincial Center for Regenerative Medicine and Surgical Engineering The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an Jiaotong University Xi'an China.

Department of Gastroenterology, Ruijin Hospital Shanghai Jiaotong University, School of Medicine Shanghai China.

出版信息

Imeta. 2025 May 25;4(4):e70045. doi: 10.1002/imt2.70045. eCollection 2025 Aug.

Abstract

Incremental evidence on the effect of cold atmospheric plasma (CAP) in specifically killing transformed cells and advances in sequencing technologies at multiple omics have led to the demand of in-depth exploration on the mechanisms of action driving the potency of CAP against cancer cells at the molecular level. However, high-throughput data detailing the effect of CAP on cancer cells is lacking, let alone the corresponding database and analytical tool. Here, we sequenced the whole transcriptome, proteome, phosphorylome, acetylome, and lactylome of transformed cells in response to CAP using breast cancer cells as the disease model; and advanced our previously developed Hiplot platform by establishing a focus-driven tumor-specific module, namely CAP medicine in breast cancer (CAPmed-BC) (https://capbc.hiplot.com.cn). CAPmed-BC is the first multi-omics data resource in plasma medicine for analyzing the treatment response of breast cancer cells to CAP. It can analyze each type of omics data regarding differentially expressed biomarkers, expression landscape, gene ontology analysis, pathway interpretation, gene set enrichment analysis, and protein-protein interaction network. It can also interrogate the dynamic fluctuation, functional activity, and metabolic vulnerability of cancer cells in response to CAP by combinatorially analyzing omics at multiple carefully defined dimensions. We also built in a visualization module to support users for producing personalized graphs via adjusting parameters. We believe that CAPmed-BC will become a valuable resource for characterizing the outcome of CAP on breast cancers at the omics and molecular levels, and make considerable contributions to both plasma medicine and oncology.

摘要

关于冷大气等离子体(CAP)特异性杀伤转化细胞作用的越来越多的证据,以及多组学测序技术的进步,引发了在分子水平深入探索驱动CAP对癌细胞效力的作用机制的需求。然而,缺乏详细描述CAP对癌细胞影响的高通量数据,更不用说相应的数据库和分析工具了。在这里,我们以乳腺癌细胞作为疾病模型,对响应CAP的转化细胞进行了全转录组、蛋白质组、磷酸化蛋白质组、乙酰化蛋白质组和乳酰化蛋白质组测序;并通过建立一个聚焦驱动的肿瘤特异性模块,即乳腺癌中的CAP医学(CAPmed-BC)(https://capbc.hiplot.com.cn),改进了我们之前开发的Hiplot平台。CAPmed-BC是血浆医学中第一个用于分析乳腺癌细胞对CAP治疗反应的多组学数据资源。它可以分析每种类型的组学数据,包括差异表达生物标志物、表达图谱、基因本体分析、通路解释、基因集富集分析和蛋白质-蛋白质相互作用网络。它还可以通过在多个精心定义的维度上组合分析组学数据,探究癌细胞对CAP反应的动态波动、功能活性和代谢脆弱性。我们还内置了一个可视化模块,支持用户通过调整参数生成个性化图表。我们相信,CAPmed-BC将成为在组学和分子水平表征CAP对乳腺癌影响结果的宝贵资源,并为血浆医学和肿瘤学做出重大贡献。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a27/12371264/d55664e2b1ad/IMT2-4-e70045-g004.jpg

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