Department of Chemistry, Vancouver Island University, Nanaimo, BC V9R 5S5, Canada.
Trev and Joyce Deeley Research Centre, BC Cancer, Victoria, BC V8R 6 V5, Canada.
Anal Chem. 2024 Nov 19;96(46):18427-18436. doi: 10.1021/acs.analchem.4c03553. Epub 2024 Nov 6.
Spatial metabolomics has emerged as a powerful tool capable of revealing metabolic gradients throughout complex heterogeneous tissues. While mass spectrometry imaging (MSI) technologies designed to generate spatial metabolomic data have improved significantly over time, metabolite coverage is still a significant limitation. It is possible to achieve deeper metabolite coverage by imaging in positive and negative polarities or imaging several serial sections with different targeted biomolecular classes. However, this significantly increases the number of tissue samples required for biological studies and reduces the capacity for larger sample cohorts. Herein, we introduce lithium-doped nanospray desorption electrospray ionization (nano-DESI) as a simple and robust method to increase spatial metabolomics coverage, which is achieved through enhancements to ionization efficiencies in positive ion mode for metabolites and lipids lacking basic moieties, and improved structurally diagnostic tandem mass spectra for [M + Li] adducts. Specifically, signal intensities were found to be enhanced by 10-1000× for 96 compounds including small molecule metabolites, fatty acids, neutral lipids (e.g., diacylglycerols, DAG), and phospholipids when lithium was added to the ESI solvent. In addition, proof-of-principle results reveal that lithium-doped nano-DESI MSI was able to comprehensively visualize metabolites and lipids in the prostaglandin (PG) biosynthetic pathway with PG isomeric resolution in an ovarian tumor section. These data show colocalization of fatty acid (FA) 20:4 containing DAGs, FA 20:4 monoacylglycerols (MAGs), and FA 20:4 with PGE and disparate localizations of PGD. Overall, this study describes a simple and powerful approach to more comprehensively probe the spatial metabolome with MSI.
空间代谢组学已成为一种强大的工具,能够揭示复杂异质组织中的代谢梯度。虽然旨在生成空间代谢组学数据的质谱成像 (MSI) 技术随着时间的推移有了显著的改进,但代谢物的覆盖范围仍然是一个重大的限制。通过在正、负极性下成像或对具有不同靶向生物分子类别的几个连续切片成像,可以实现更深的代谢物覆盖。然而,这会显著增加生物研究所需的组织样本数量,并降低更大样本队列的容量。在此,我们介绍了掺锂纳米喷雾解吸电喷雾电离 (nano-DESI) 作为一种简单而强大的方法,可通过提高正离子模式下缺乏碱性基团的代谢物和脂质的电离效率,以及改善 [M + Li]加合物的结构诊断串联质谱来增加空间代谢组学的覆盖范围。具体来说,当在 ESI 溶剂中添加锂时,96 种化合物(包括小分子代谢物、脂肪酸、中性脂质(如二酰基甘油、DAG)和磷脂)的信号强度提高了 10-1000 倍。此外,原理验证结果表明,掺锂的 nano-DESI MSI 能够全面可视化前列腺素 (PG) 生物合成途径中的代谢物和脂质,并在卵巢肿瘤切片中实现 PG 异构体分辨率。这些数据显示脂肪酸 (FA) 20:4 含量的 DAG、FA 20:4 单酰基甘油 (MAG) 和 FA 20:4 与 PGE 的共定位以及 PGD 的不同定位。总的来说,本研究描述了一种简单而强大的方法,可通过 MSI 更全面地探测空间代谢组。