Mass Spectrometry Imaging: A Review of Emerging Advancements and Future Insights.
Mass Spectrometry Imaging: A Review of Emerging Advancements and Future Insights.
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DOI：
10.1021/acs.analchem.7b04733
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发表时间：
2018-01-02
影响因子：
7.4
通讯作者：
Li L
中科院分区：
文献类型：
--
作者：
Buchberger AR;DeLaney K;Johnson J;Li L
质谱成像（MSI）是一种强大的工具，可以对各种样品中分子物种的空间分布进行无目标调查。它有能力成像数千种分子，如代谢物，脂质，多肽，蛋白质和聚糖，在一个单一的实验中，没有标记。从质谱（MS）获得的信息与薄样品切片空间分布的可视化相结合，使其成为生物样品表征的有价值的化学分析工具。摘要工作流如图1所示。经过最小但仔细的样品制备，MSI实验的一般设置包括在样品表面上定义一个（x, y）网格，网格面积由用户选择。然后，质谱仪电离样品表面的分子，并在切片上的每个像素处收集质谱，所得的空间分辨率由像素大小定义。收集光谱后，可以使用计算软件选择单个质量电荷比（m/z）值，并从每个像素的光谱中提取m/z的强度。然后将这些强度组合成热图图像，描绘该m/z值在整个样品表面的相对分布。为了确定特定m/z值的身份，可以对每个像素的离子进行串联质谱（MS/MS）碎片化，并且可以使用碎片将未知分子的结构拼凑在一起。否则，在一定的质量误差范围内，通过与已知分子数据库的精确质量匹配，可以根据分子的完整质量进行鉴定。随着近年来众多技术的进步，MSI正在成为临床实践和制药行业中越来越成熟的工具。4-6的进展包括可重复样品制备的改进，以确保数据和仪器的可靠解释，从而实现高采集速度和增强的空间分辨率，从而提高吞吐量和深度。随着被检测分子绝对定量方法的发展，MSI实验的可信度进一步提高。为了帮助进行大型计算工作，已经实施了统计工作流程和机器学习算法来处理生成的大型成像数据集
Mass spectrometry imaging (MSI) is a powerful tool that enables untargeted investigations into the spatial distribution of molecular species in a variety of samples. It has the capability to image thousands of molecules, such as metabolites, lipids, peptides, proteins, and glycans, in a single experiment without labeling. 1 The combination of information gained from mass spectrometry (MS) and visualization of spatial distributions in thin sample sections makes this a valuable chemical analysis tool for biological specimen characterization. A summary workflow is depicted in Figure 1. After minimal but careful sample preparation, the general setup of an MSI experiment involves defining an (x, y) grid over the surface of the sample, with the grid area chosen by the user. The mass spectrometer then ionizes the molecules on the surface of the sample and collects a mass spectrum at each pixel on the section with the resulting spatial resolution defined by the pixel size. After collecting the spectra, computational software can be used to select an individual mass-to-charge (m/z) value, and the intensity of the m/z is extracted from each pixel’s spectrum. These intensities are then combined into a heat map image depicting the relative distribution of that m/z value throughout the sample’s surface. In order to determine the identity of a specific m/z value, tandem MS (MS/MS) fragmentation can be performed on ions from each pixel, and the fragments can be used to piece together the structure of the unknown molecule. Otherwise, the molecule can be identified based on its intact mass by accurate mass matching to databases of known molecules within a certain mass error range. 2, 3With the numerous technological advances in recent years, MSI is becoming a more established tool in clinical practice and the pharmaceutical industry. 4–6 Advances include improvements in reproducible sample preparation to ensure reliable interpretation of data and instrumentation that allows for high acquisition speeds and enhanced spatial resolution improving throughput and depth. The credibility of MSI experiments has further been enhanced by the development of methods for absolute quantitation of detected molecules. To help with large computational endeavors, statistical workflows and machine learning algorithms have been implemented to handle the large imaging data sets being produced
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影响因子：
7.4
作者：
Barre, Florian P. Y.;Flinders, Bryn;Cillero-Pastor, Berta
通讯作者：
Cillero-Pastor, Berta
影响因子：
4.2
作者：
Bergman, Hilde-Marlene;Lundin, Erik;Lanekoff, Ingela
通讯作者：
Lanekoff, Ingela
影响因子：
4.3
作者：
Bokhart, Mark T.;Rosen, Elias;Thompson, Corbin;Sykes, Craig;Kashuba, Angela D. M.;Muddiman, David C.
通讯作者：
Muddiman, David C.
DOI：
10.1073/pnas.1700677114
发表时间：
2017-03-28
影响因子：
11.1
作者：
Banerjee, Shibdas;Zare, Richard N.;Sonn, Geoffrey A.
通讯作者：
Sonn, Geoffrey A.
基质辅助激光解吸/电离飞行时间质谱成像对不同树龄人参中人参皂苷的定位
DOI：
10.1016/j.jchromb.2015.09.024
发表时间：
2016-07-15
影响因子：
3
作者：
Bai, Hangrui;Wang, Shujuan;Cai, Zongwei
通讯作者：
Cai, Zongwei