Precision & Systems Biomedicine Laboratory, QIMR Berghofer Medical Research Institute, Herston, QLD 4006, Australia.
Centre for Clinical Research, Faculty of Medicine, The University of Queensland, Herston, QLD 4006, Australia.
Nucleic Acids Res. 2021 Jul 2;49(W1):W346-W351. doi: 10.1093/nar/gkab327.
Advances in mass spectrometry enabled high throughput profiling of lipids but differential analysis and biological interpretation of lipidomics datasets remains challenging. To overcome this barrier, we present LipidSuite, an end-to-end differential lipidomics data analysis server. LipidSuite offers a step-by-step workflow for preprocessing, exploration, differential analysis and enrichment analysis of untargeted and targeted lipidomics. Three lipidomics data formats are accepted for upload: mwTab file from Metabolomics Workbench, Skyline CSV Export, and a numerical matrix. Experimental variables to be used in analysis are uploaded in a separate file. Conventional lipid names are automatically parsed to enable lipid class and chain length analyses. Users can interactively explore data, choose subsets based on sample types or lipid classes or characteristics, and conduct univariate, multivariate and unsupervised analyses. For complex experimental designs and clinical cohorts, LipidSuite offers confounding variables adjustment. Finally, data tables and plots can be both interactively viewed or downloaded for publication or reports. Overall, we anticipate this free, user-friendly webserver to facilitate differential lipidomics data analysis and re-analysis, and fully harness biological interpretation from lipidomics datasets. LipidSuite is freely available at http://suite.lipidr.org.
质谱技术的进步使得高通量脂质组学分析成为可能，但脂质组学数据的差异分析和生物学解释仍然具有挑战性。为了克服这一障碍，我们提出了 LipidSuite，这是一个端到端的差异脂质组学数据分析服务器。LipidSuite 为非靶向和靶向脂质组学的预处理、探索、差异分析和富集分析提供了一个逐步的工作流程。它接受三种脂质组学数据格式进行上传：代谢组学工作平台的 mwTab 文件、Skyline CSV 导出文件和数值矩阵。用于分析的实验变量在单独的文件中上传。常规脂质名称会自动解析，以支持脂质类别和链长分析。用户可以交互式地探索数据，根据样本类型或脂质类别或特征选择子集，并进行单变量、多变量和无监督分析。对于复杂的实验设计和临床队列，LipidSuite 提供了混杂变量调整。最后，可以交互查看或下载数据表和图形，以便发布或报告。总的来说，我们预计这个免费的、用户友好的网络服务器将有助于差异脂质组学数据分析和重新分析，并充分利用脂质组学数据集的生物学解释。LipidSuite 可在 http://suite.lipidr.org 免费获取。
