MALDI-2-Enabled Oversampling for the Mass Spectrometry Imaging of Metabolites at Single-Cell Resolution

被引:2
|
作者
McKinnon, Jayden C. [1 ,2 ]
Balez, Rachelle [1 ,2 ]
Young, Reuben S. E. [1 ,2 ]
Brown, Mikayla L. [1 ,2 ]
Lum, Jeremy S. [2 ,3 ]
Robinson, Liam [1 ,2 ]
Belov, Mikhail E. [2 ,4 ]
Ooi, Lezanne [1 ,2 ]
Tortorella, Sara [5 ]
Mitchell, Todd W. [3 ]
Ellis, Shane R. [1 ,2 ]
机构
[1] Univ Wollongong, Mol Horizons, Wollongong, NSW 2522, Australia
[2] Univ Wollongong, Sch Chem & Mol Biosci, Wollongong, NSW 2522, Australia
[3] Univ Wollongong, Sch Med Indigenous & Hlth Sci, Mol Horizons, Wollongong, NSW 2522, Australia
[4] Spectroglyph LLC, Kennewick, WA 99338 USA
[5] Mol Horizon Srl, I-06084 Bettona, PG, Italy
基金
澳大利亚国家健康与医学研究理事会; 澳大利亚研究理事会;
关键词
BEAM PROFILE; TISSUE; SECTIONS; MATRICES; SIZE;
D O I
10.1021/jasms.4c00241
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI) can provide valuable insights into the metabolome of complex biological systems such as organ tissues and cells. However, obtaining metabolite data at single-cell spatial resolutions presents a few technological challenges. Generally, spatial resolution is defined by the increment the sample stage moves between laser ablation spots. Stage movements less than the diameter of the focused laser beam (i.e., oversampling) can improve spatial resolution; however, such oversampling conditions result in a reduction in sensitivity. To overcome this, we combine an oversampling approach with laser postionization (MALDI-2), which allows for both higher spatial resolution and improved analyte ionization efficiencies. This approach provides significant enhancements to sensitivity for various metabolite classes (e.g., amino acids, purines, carbohydrates etc.), with mass spectral intensities from 6 to 8 mu m pixel sizes (from a laser spot size of similar to 13 mu m) being commensurate with or higher than those obtained by conventional MALDI at 20 mu m pixel sizes for many different metabolites. This technique has been used to map the distribution of metabolites throughout mouse spinal cord tissue to observe how metabolite localizations change throughout specific anatomical regions, such as those distributed to the somatosensory area of the dorsal horn, white matter, gray matter, and ventral horn. Furthermore, this method is utilized for single-cell metabolomics of human iPSC-derived astrocytes at 10 mu m pixel sizes whereby many different metabolites, including nucleotides, were detected from individual cells while providing insight into cellular localizations.
引用
收藏
页码:2729 / 2742
页数:14
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