Improved cell typing by charge-state deconvolution of matrix-assisted laser desorption/ionization mass spectra.
Improved cell typing by charge-state deconvolution of matrix-assisted laser desorption/ionization mass spectra.
复制标题
通过基质辅助激光解吸/电离质谱的电荷态解卷积改进细胞分型。
DOI：
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发表时间：
2006
影响因子：
2
通讯作者：
A. Shvartsburg
中科院分区：
文献类型：
--
作者：
J. G. Wilkes;D. Buzatu;D. Dare;Y. Dragan;M. Chiarelli;R. D. Holland;Michael Beaudoin;T. Heinze;Rajesh Nayak;A. Shvartsburg
对有毒细菌和病毒菌株进行强有力、特异和快速的鉴定，以指导减轻其对健康的不利影响和最佳地实施其他应对行动，仍然是一项重大的分析挑战。这一需求推动了微生物质谱分类方法的发展，特别是基质辅助激光解吸/电离质谱（MALDI-MS），它允许用最少的样品制备进行高通量分析。我们描述了一种基于MALDI质谱模式识别的细胞分型新方法，该方法涉及电荷态反褶积和一种新的相关分析程序。该方法既适用于原核细胞，也适用于真核细胞。电荷态反褶积提高了光谱的定量再现性，因为由同一生物标志物附着不同数量的质子产生的多个带电离子被识别出来，并且它们的丰度被组合起来。这可以更清楚地区分细菌菌株或癌细胞和正常肝细胞。典型变量得分图上的聚类间距和相关分析证明了电荷态反褶积提供的改进的类区分。反褶积可以增强MALDI-MS分析的各种组织的早期疾病状态或治疗进展标志物的检测。
Robust, specific, and rapid identification of toxic strains of bacteria and viruses, to guide the mitigation of their adverse health effects and optimum implementation of other response actions, remains a major analytical challenge. This need has driven the development of methods for classification of microorganisms using mass spectrometry, particularly matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS), that allows high-throughput analyses with minimum sample preparation. We describe a novel approach to cell typing based on pattern recognition of MALDI mass spectra, which involves charge-state deconvolution in conjunction with a new correlation analysis procedure. The method is applicable to both prokaryotic and eukaryotic cells. Charge-state deconvolution improves the quantitative reproducibility of spectra because multiply charged ions resulting from the same biomarker attaching a different number of protons are recognized and their abundances are combined. This allows a clearer distinction of bacterial strains or of cancerous and normal liver cells. Improved class distinction provided by charge-state deconvolution was demonstrated by cluster spacing on canonical variate score charts and by correlation analyses. Deconvolution may enhance detection of early disease state or therapy progress markers in various tissues analyzed by MALDI-MS.
影响因子：
7.4
作者：
Garden, RW;Sweedler, JV
通讯作者：
Sweedler, JV