Normalization in MALDI-TOF imaging datasets of proteins: practical considerations.
Normalization in MALDI-TOF imaging datasets of proteins: practical considerations.
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DOI：
10.1007/s00216-011-4929-z
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发表时间：
2011-07
影响因子：
4.3
通讯作者：
Wolski, Eryk
中科院分区：
文献类型：
--
作者：
Deininger, Soeren-Oliver;Cornett, Dale S.;Paape, Rainer;Becker, Michael;Pineau, Charles;Rauser, Sandra;Walch, Axel;Wolski, Eryk
关键词：
归一化对于基质辅助激光解吸/电离（MALDI）成像数据集的正确解释至关重要。基于总离子计数（TIC）或向量范数归一化的常用归一化技术的效果是显著的，并且它们通常是有益的。然而，在某些情况下，这些归一化算法可能产生误导性结果，并可能导致错误的结论，例如关于潜在的生物标志物分布。这对于其中显著丰度的信号存在于受限区域中的组织是典型的，例如胰腺中的胰岛素或大脑中的β-淀粉样肽。在这项工作中，我们研究了如果从计算中排除主导信号，是否可以改善归一化。因为与数据的手动交互（例如，定义丰富的信号）对于常规分析是不期望的，我们研究了两种替代方案：对光谱噪声水平或对光谱中信号强度的中值进行归一化。与TIC上的归一化相比，中值和噪声水平上的归一化被发现对伪影生成显著更鲁棒。因此，我们建议将这些标准化方法纳入MALDI成像的标准“工具箱”中，以便在自动化条件下获得可靠的结果。本文的在线版本（doi：10.1007/s 00216 -011-4929-z）包含补充材料，可供授权用户使用。
Normalization is critically important for the proper interpretation of matrix-assisted laser desorption/ionization (MALDI) imaging datasets. The effects of the commonly used normalization techniques based on total ion count (TIC) or vector norm normalization are significant, and they are frequently beneficial. In certain cases, however, these normalization algorithms may produce misleading results and possibly lead to wrong conclusions, e.g. regarding to potential biomarker distributions. This is typical for tissues in which signals of prominent abundance are present in confined areas, such as insulin in the pancreas or β-amyloid peptides in the brain. In this work, we investigated whether normalization can be improved if dominant signals are excluded from the calculation. Because manual interaction with the data (e.g., defining the abundant signals) is not desired for routine analysis, we investigated two alternatives: normalization on the spectra noise level or on the median of signal intensities in the spectrum. Normalization on the median and the noise level was found to be significantly more robust against artifact generation compared to normalization on the TIC. Therefore, we propose to include these normalization methods in the standard “toolbox” of MALDI imaging for reliable results under conditions of automation. The online version of this article (doi:10.1007/s00216-011-4929-z) contains supplementary material, which is available to authorized users.
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影响因子：
7
作者：
Ting, Lily;Cowley, Mark J.;Cavicchioli, Ricardo
通讯作者：
Cavicchioli, Ricardo
影响因子：
6.4
作者：
Walker, R. A.
通讯作者：
Walker, R. A.
DOI：
10.1007/978-1-60761-746-4_22
发表时间：
2010-01-01
期刊：
MASS SPECTROMETRY IMAGING: PRINCIPLES AND PROTOCOLS
影响因子：
--
作者：
Deininger, Soeren-Oliver;Becker, Michael;Suckau, Detlev
通讯作者：
Suckau, Detlev
影响因子：
7.4
作者：
Perrin, C;Walczak, B;Massart, DL
通讯作者：
Massart, DL
影响因子：
3
作者：
Wolski WE;Lalowski M;Martus P;Herwig R;Giavalisco P;Gobom J;Sickmann A;Lehrach H;Reinert K
通讯作者：
Reinert K