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

C Quintana; A Ollacarizqueta

doi:10.1016/0304-3991(89)90316-1

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

C Quintana·A Ollacarizqueta

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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.

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Animals Cell Nucleolus Cell Nucleus Chromatin Copper Electron Probe Microanalysis Iron Microcomputers Phosphorus Rats Software Statistics as Topic Sulfur Zinc Journal Article

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C Quintana, A Ollacarizqueta. 1989-04-01. Multivariate statistical analysis of electron probe microanalytical data on cell nuclear constituents.. https://doi.org/10.1016/0304-3991(89)90316-1

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