Datesets for "Single-cell lipidomics enabled by dual-polarity ionization and ion mobility-mass spectrometry imaging"

Single-cell (SC) analysis provides unique insight into individual cell dynamics and cell-to-cell heterogeneity. Here, we utilize trapped ion mobility separation coupled with dual-polarity ionization mass spectrometry imaging (MSI) to enable high throughput <em>in situ</em> profiling of SC lipidome. Multimodal SC imaging, in which dual-polarity-mode MSI is used to perform serial data acquisition runs on individual cells, significantly enhanced SC lipidome coverage. High spatial resolution SC-MSI identifies both inter- and intra-cellular lipid heterogeneity; this heterogeneity is further explicated by Uniform Manifold Approximation and Projection and machine learning-driven classifications. We characterize SC lipidome alteration in response to stearoyl-CoA desaturase 1 (SCD1) inhibition and, additionally, identify layer-specific lipid distribution patterns in mouse cerebellar cortex. This integrated multimodal SC-MSI technology enables high-resolution spatial mapping of intracellular and cell-to-cell lipidome heterogeneity, SC lipidome remodeling induced by pharmacological intervention, and region-specific lipid diversity within tissue.

单细胞（Single-cell, SC）分析可提供关于单个细胞动态及细胞间异质性的独特洞察。本研究利用捕获离子迁移分离技术与双极性电离质谱成像（MSI）相结合的方案，实现了高通量原位（in situ）单细胞脂质组（SC lipidome）的表征分析。多模态单细胞成像技术通过双极性模式质谱成像对单个细胞开展连续数据采集流程，显著提升了单细胞脂质组的覆盖度。高空间分辨率单细胞质谱成像（SC-MSI）可同时识别细胞间与细胞内的脂质异质性；借助统一流形逼近与投影（Uniform Manifold Approximation and Projection）及机器学习驱动的分类分析，可进一步解析该异质性。本研究表征了硬脂酰辅酶A去饱和酶1（SCD1）抑制所诱导的单细胞脂质组改变，并额外鉴定了小鼠小脑皮层中具有层特异性的脂质分布模式。这种集成式多模态单细胞质谱成像技术，可实现细胞内与细胞间脂质异质性的高分辨率空间定位、药物干预诱导的单细胞脂质组重塑，以及组织内区域特异性脂质多样性的表征。