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细胞核成分的电子探针微分析数据的多元统计分析。

Multivariate statistical analysis of electron probe microanalytical data on cell nuclear constituents.

作者信息

Quintana C, Ollacarizqueta A

机构信息

U 194 Méthodologie Informatique et Statistique en Médecine, INSERM, Paris, France.

出版信息

Ultramicroscopy. 1989 Apr 1;28(1-4):315-9. doi: 10.1016/0304-3991(89)90316-1.

Abstract

A multivariate statistical analysis (the principal component analysis) has been used to process electron probe microanalytical data from cell nuclei. Fifty-seven measurements from different areas of chromatin and nucleolus in follicular rat cells have been studied. The variables are the X-ray characteristic signals for P, S, Al, Fe, Cu and Zn. This method demonstrates three groups of individuals - the chromatin area which is associated with a stronger concentration of P and two groups of nucleolar areas, one of them being connected with a higher content in S, Al and Zn. This high degree of correlation between these three elements proves the chemical affinity of the metals with the protein, S being the signature for proteins.

摘要

已采用多元统计分析(主成分分析)来处理来自细胞核的电子探针微分析数据。对来自大鼠卵泡细胞染色质和核仁不同区域的57次测量进行了研究。变量是P、S、Al、Fe、Cu和Zn的X射线特征信号。该方法显示出三组个体——与P浓度较高相关的染色质区域以及两组核仁区域,其中一组与S、Al和Zn含量较高有关。这三种元素之间的高度相关性证明了这些金属与蛋白质的化学亲和力,S是蛋白质的特征标志。

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