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利用 MALDI-2 进行过采样实现单细胞分辨率下代谢物的质谱成像分析。

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

机构信息

Molecular Horizons and School of Chemistry and Molecular Bioscience, University of Wollongong, Northfields Ave, Wollongong, NSW 2522, Australia.

Molecular Horizons, School of Medical, Indigenous and Health Science, University of Wollongong, Northfields Ave, Wollongong, NSW 2522, Australia.

出版信息

J Am Soc Mass Spectrom. 2024 Nov 6;35(11):2729-2742. doi: 10.1021/jasms.4c00241. Epub 2024 Aug 13.

Abstract

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 (, 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 ( amino acids, purines, carbohydrates ), with mass spectral intensities from 6 to 8 μm pixel sizes (from a laser spot size of ∼13 μm) being commensurate with or higher than those obtained by conventional MALDI at 20 μm 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 μm pixel sizes whereby many different metabolites, including nucleotides, were detected from individual cells while providing insight into cellular localizations.

摘要

基质辅助激光解吸/电离质谱成像(MALDI-MSI)可以为器官组织和细胞等复杂生物系统的代谢组学提供有价值的见解。然而,在单细胞空间分辨率下获得代谢物数据存在一些技术挑战。通常,空间分辨率由样品台在激光烧蚀点之间移动的增量定义。小于聚焦激光束直径的增量(过采样)可以提高空间分辨率;然而,这种过采样条件会降低灵敏度。为了克服这一问题,我们将过采样方法与激光后电离(MALDI-2)相结合,这使得更高的空间分辨率和改善的分析物离子化效率成为可能。这种方法对各种代谢物类别(氨基酸、嘌呤、碳水化合物)的灵敏度有显著提高,从 6 到 8 μm 像素大小(来自约 13 μm 的激光光斑大小)的质谱强度与通过常规 MALDI 在 20 μm 像素大小下获得的强度相当,对于许多不同的代谢物而言,甚至更高。该技术已用于在整个小鼠脊髓组织中绘制代谢物分布,以观察代谢物定位如何在特定解剖区域(如分布到背角感觉区、白质、灰质和腹角的区域)发生变化。此外,该方法还用于对 10 μm 像素大小的人 iPSC 衍生星形胶质细胞进行单细胞代谢组学研究,从中可以检测到许多不同的代谢物,包括核苷酸,同时可以深入了解细胞定位。

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