Comprehensive Metabolite Profiling in Single-Cell Systems via Dual-Modal MALDI-Mass Spectrometry Imaging

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.

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Publication Details

Journal
Analytical Chemistry
Published
2025-04-16
DOI
https://doi.org/10.1021/acs.analchem.4c05480
Citations
5
Primary Topic
Mass Spectrometry Techniques and Applications
Type
article
Field-Weighted Citation Impact
3.78

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article

Comprehensive Metabolite Profiling in Single-Cell Systems via Dual-Modal MALDI-Mass Spectrometry Imaging

Xiafei Li, Jia Liu, Jie Yuan, Xinxin Shen et al.
5 citations
Analytical Chemistry
Mass Spectrometry Techniques and Applications
3.78
article

Comprehensive Metabolite Profiling in Single-Cell Systems via Dual-Modal MALDI-Mass Spectrometry Imaging

Xiafei Li, Jia Liu, Jie Yuan, Xinxin Shen, Nan-Lin Zhu, Yang Ye, Pei Xiong
article en
5 citations

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.

Analytical ChemistryVol. 97(16)
Nanjing University of Chinese Medicine (CN), Henan University (CN), Chinese Academy of Sciences (CN), Shanghai University of Traditional Chinese Medicine (CN), Shanghai Institute of Materia Medica (CN), Institute for Advanced Study (DE), University of Chinese Academy of Sciences (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 7%
Mass Spectrometry Techniques and Applications
3.78
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