Multivariate statistical analysis of electron probe microanalytical data on cell nuclear constituents.
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.
Quintana
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C
U 194 Méthodologie Informatique et Statistique en Médecine, INSERM, Paris, France.
Ollacarizqueta
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A
D000818:Animals; D002466:Cell Nucleolus / Q000032:analysis; D002467:Cell Nucleus / Q000032:analysis*; D002843:Chromatin / Q000032:analysis; D003300:Copper / Q000032:analysis; D004577:Electron Probe Microanalysis / Q000379:methods*; D007501:Iron / Q000032:analysis; D008838:Microcomputers; D010758:Phosphorus / Q000032:analysis; D051381:Rats; D012984:Software; D013223:Statistics as Topic; D013455:Sulfur / Q000032:analysis; D015032:Zinc / Q000032:analysis
D002843:Chromatin; D010758:Phosphorus; D013455:Sulfur; D003300:Copper; D007501:Iron; D015032:Zinc