Matrix effects in biological mass spectrometry imaging: identification and compensation.
Matrix effects in biological mass spectrometry imaging: identification and compensation.
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DOI：
10.1039/c4an00504j
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发表时间：
2014-07-21
期刊：
影响因子：
--
通讯作者：
Laskin J
中科院分区：
文献类型：
--
作者：
Lanekoff I;Stevens SL;Stenzel-Poore MP;Laskin J
质谱学成像(MSI)中的基质效应可能会影响化学和生物体系中观察到的分子分布。在本研究中，我们使用小鼠大脑中动脉闭塞(MCAO)卒中模型来检验纳米解吸电喷雾电离(Nano-Desi MSI)中的基质效应。这是通过将内源性磷脂酰胆碱(PC)物种的钠和钾加合物的强度标准化为以纳米DESI溶剂以恒定速度提供的PC标准的相应加合物的强度来实现的。使用MCAO模型，将缺血区定位于大脑的一个半球，可以立即比较一个离子图像中的基质效应。此外，与健康组织相比，缺血区钠和钾浓度的显著差异使我们能够区分两种类型的基质效应。具体地说，我们讨论了碱金属浓度变化引起的基质效应和组织分子组成变化引起的基质效应。通过将对应于内源性PC的信号归一化为标准信号来实现对两种类型的基质效应的补偿。这种方法在样品制备中不引入任何复杂性，有效地补偿了由于组织切片中局部钠和钾浓度的差异而导致的信号变化，以及由于分子组成局部变化而产生的被提取分析物混合物的复杂性。
Matrix effects in mass spectrometry imaging (MSI) may affect the observed molecular distribution in chemical and biological systems. In this study, we use mouse brain tissue of a middle cerebral artery occlusion (MCAO) stroke model to examine matrix effects in nanospray desorption electrospray ionization MSI (nano-DESI MSI). This is achieved by normalizing the intensity of the sodium and potassium adducts of endogenous phosphatidylcholine (PC) species to the intensity of the corresponding adduct of the PC standard supplied at a constant rate with the nano-DESI solvent. The use of MCAO model with an ischemic region localized to one hemisphere of the brain enables immediate comparison of matrix effects within one ion image. Furthermore, significant differences in sodium and potassium concentrations in the ischemic region in comparison with the healthy tissue allowed us to distinguish between two types of matrix effects. Specifically, we discuss matrix effects originating from variations in alkali metal concentrations and matrix effects originating from variations in the molecular composition of the tissue. Compensation for both types of matrix effects was achieved by normalizing the signals corresponding to endogenous PC to the signals of the standards. This approach, which does not introduce any complexity in sample preparation, efficiently compensates for signal variations resulting from differences in the local concentrations of sodium and potassium in tissue sections and from the complexity of the extracted analyte mixture derived from local variations in molecular composition.
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影响因子：
7.4
作者：
Laskin, Julia;Heath, Brandi S.;Roach, Patrick J.;Cazares, Lisa;Semmes, O. John
通讯作者：
Semmes, O. John
DOI：
10.1007/s13361-011-0122-z
发表时间：
2011-06
影响因子：
3.2
作者：
Hankin JA;Farias SE;Barkley RM;Heidenreich K;Frey LC;Hamazaki K;Kim HY;Murphy RC
通讯作者：
Murphy RC
影响因子：
7.4
作者：
Laskin, Julia;Eckert, Peter A.;Laskin, Alexander
通讯作者：
Laskin, Alexander
影响因子：
3.3
作者：
Koizumi, S.;Yamamoto, S.;Namba, H.
通讯作者：
Namba, H.
影响因子：
7.4
作者：
Hankin, Joseph A.;Murphy, Robert C.
通讯作者：
Murphy, Robert C.