Jie Yuan, Xiafei Li, Xinxin Shen, Pei Xiong, Nanlin Zhu, Yang Ye and Jia Liu*,
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引用次数: 0
Abstract
The development of spatial multiomics technologies, particularly matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI), has revolutionized our ability to map metabolic processes at single-cell resolution. However, the current techniques face challenges in minimizing matrix interferences and achieving comprehensive metabolite detection across multiple ionization modes. In this study, we present a novel dual-modal MSI workflow that leverages the pairing of 1,5-diaminonaphthalene (DAN) and its hydrochloric salt (DAN-HCl) matrices for sequential detection in positive- and negative-ion modes, respectively. This approach significantly enhanced metabolite coverage, spanning both lipid-based and nonlipid small molecules, while eliminating the need for solvent cleaning steps. Applied to a coculture of cholangiocarcinoma (CCLP1) and hepatic stellate (LX2) cells, the workflow revealed significant metabolic distinctions, including differential accumulation of glycerolipids and energy-related metabolites, highlighting the unique metabolic profiles of each cell type. Additionally, several unidentified metabolites were detected, indicating the potential to discover novel metabolic variations. These findings establish our method as a robust tool for single-cell spatial metabolomics with broad applicability in studying complex cellular interactions and advancing both research and clinical applications.
期刊介绍:
Analytical Chemistry, a peer-reviewed research journal, focuses on disseminating new and original knowledge across all branches of analytical chemistry. Fundamental articles may explore general principles of chemical measurement science and need not directly address existing or potential analytical methodology. They can be entirely theoretical or report experimental results. Contributions may cover various phases of analytical operations, including sampling, bioanalysis, electrochemistry, mass spectrometry, microscale and nanoscale systems, environmental analysis, separations, spectroscopy, chemical reactions and selectivity, instrumentation, imaging, surface analysis, and data processing. Papers discussing known analytical methods should present a significant, original application of the method, a notable improvement, or results on an important analyte.