Targeted lipidomics dataset of central nervous system and plasma from mice with experimental autoimmune encephalomyelitis

This dataset contains quantitative lipidomic profiles of plasma and central nervous system (CNS) tissues (i.e., cerebellum, hippocampus, and prefrontal cortex) collected from SJL/J mice in a preclinical neuroinflammation model. The study population includes three groups: (1) controls, (2) mice with experimental autoimmune encephalomyelitis (EAE), and (3) EAE mice treated with fingolimod (FTY720). Each tissue sample was analyzed for 62 lipid variables, including lysophosphatidic acids, ceramides, sphingoid bases, and endocannabinoids, using targeted liquid chromatography-tandem mass spectrometry (LC-MS/MS).
The dataset is organized into three CSV files: a raw quantitative data matrix with missing values; a log₁₀-transformed, imputed version of the same matrix; and a comprehensive metadata file. The metadata includes experimental group assignments, sample identifiers, and tissue type, enabling flexible stratification and downstream analysis. Missing values were imputed using random forest–based approaches. The sample handling, lipid extraction, and quantification protocols followed standardized procedures.

本数据集包含临床前神经炎症模型中SJL/J小鼠的血浆及中枢神经系统（central nervous system，CNS）组织（即小脑、海马体与前额叶皮层）的定量脂质组谱。本研究的受试对象分为三组：(1) 对照组；(2) 实验性自身免疫性脑脊髓炎（experimental autoimmune encephalomyelitis，EAE）模型小鼠组；(3) 接受芬戈莫德（fingolimod，FTY720）干预的EAE模型小鼠组。所有组织样本均通过靶向液相色谱-串联质谱（liquid chromatography-tandem mass spectrometry，LC-MS/MS）技术完成62种脂质变量的定量分析，涵盖溶血磷脂酸、神经酰胺、鞘氨醇碱基及内源性大麻素类物质。
本数据集包含三个CSV格式文件：其一为带有缺失值的原始定量数据矩阵；其二为经以10为底对数转换并完成缺失值插补的同款矩阵版本；其三为完整的元数据文件。元数据涵盖实验分组信息、样本标识符及组织类型，可支持灵活的分层操作与下游分析。缺失值采用基于随机森林的方法完成插补。样本处理、脂质提取及定量流程均遵循标准化操作规范。