Optimized MALDI2-Mass Spectrometry Imaging for Stable Isotope Tracing of Tissue-Specific Metabolic Pathways in Mice

IF 6.7 1区 化学 Q1 CHEMISTRY, ANALYTICAL Analytical Chemistry Pub Date : 2024-12-27 DOI:10.1021/acs.analchem.4c04600
Yanyan Chen, Yuanyuan Song, Zhu Yang, Yi Ru, Peisi Xie, Jing Han, Xuyang Chai, Jianing Wang, Zongwei Cai
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Abstract

Spatial stable isotope tracing metabolic imaging is a cutting-edge technique designed to investigate tissue-specific metabolic functions and heterogeneity. Traditional matrix-assisted laser desorption ionization-mass spectrometry imaging (MALDI-MSI) techniques often struggle with low coverage of low-molecular-weight (LMW) metabolites, which are often crucial for spatial metabolic studies. To address this, we developed a high-coverage spatial isotope tracing metabolic method that incorporates optimized matrix selection, sample preparation protocols, and enhanced post-ionization (MALDI2) techniques. We employed this approach to mouse kidney, brain, and breast tumors to visualize the spatial dynamics of metabolic flow. Our results revealed diverse regional distributions of nine labeled intermediates derived from 13C6-glucose across glycolysis, glycogen metabolism, and the tricarboxylic acid (TCA) cycle in kidney tissues. In brain sections, we successfully mapped six intermediates from the TCA cycle and glutamate-glutamine (Glu-Gln) cycle simultaneously in distinct neurological regions. Furthermore, in breast cancer tumor tissues, our approach facilitated the mapping of nine metabolic intermediates in multiple pathways, including glycolysis, the pentose phosphate pathway (PPP), and the TCA cycle, illustrating metabolic heterogeneity within the tumor microenvironment. This methodology enhances metabolite coverage, enabling more comprehensive imaging of isotope-labeled metabolites and opening new avenues for exploring the metabolic landscape in various biological contexts.

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优化的maldi2质谱成像用于小鼠组织特异性代谢途径的稳定同位素示踪
空间稳定同位素示踪代谢成像是一项前沿技术,旨在研究组织特异性代谢功能和异质性。传统的基质辅助激光解吸电离质谱成像(MALDI-MSI)技术往往难以覆盖低分子量(LMW)代谢物,而低分子量(LMW)代谢物通常对空间代谢研究至关重要。为了解决这个问题,我们开发了一种高覆盖率的空间同位素示踪代谢方法,该方法结合了优化的基质选择、样品制备方案和增强的后电离(MALDI2)技术。我们将这种方法应用于小鼠肾、脑和乳腺肿瘤,以可视化代谢流的空间动态。我们的研究结果揭示了肾组织中来自13c6 -葡萄糖的九种标记中间体在糖酵解、糖原代谢和三羧酸(TCA)循环中的不同区域分布。在脑切片中,我们成功地在不同的神经区域同时绘制了TCA循环和谷氨酸-谷氨酰胺(Glu-Gln)循环的六个中间体。此外,在乳腺癌肿瘤组织中,我们的方法促进了九种代谢中间体在多种途径中的定位,包括糖酵解、戊糖磷酸途径(PPP)和TCA循环,说明了肿瘤微环境中的代谢异质性。这种方法提高了代谢物的覆盖范围,使同位素标记代谢物的成像更加全面,并为探索各种生物背景下的代谢景观开辟了新的途径。
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来源期刊
Analytical Chemistry
Analytical Chemistry 化学-分析化学
CiteScore
12.10
自引率
12.20%
发文量
1949
审稿时长
1.4 months
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.
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