Please use this identifier to cite or link to this item: http://hdl.handle.net/10525/2293

 Title: Statistical Analysis of Data on Linker Histones/DNA Interactions Authors: Yaneva, J.Daskalova, N.Yanev, N. Keywords: linker histones/DNA interactionsanticancer antibioticschi-square test Issue Date: 2005 Publisher: Institute of Mathematics and Informatics Bulgarian Academy of Sciences Citation: Pliska Studia Mathematica Bulgarica, Vol. 17, No 1, (2005), 337p-348p Abstract: Linker histones (H1, H1o H5, subtypes and variants) play a pivotal role in formation of higher order chromatin structure and thus - as main regulators of the expression of genetic information kept in DNA. That is why the knowledge of the nature of linker histones/DNA interactions is of a greatest interest in understanding of such important issues as transcription regulation, cell division, and cancerogenesis. As DNA is a main "target" of most anticancer antibiotics, the analysis of competitive reactions between that drugs (in our case actinomycin D and netropsin) and linker histones for binding to certain sites in DNA gives hopeful information concerning the mode of such interactions. In this work we present statistical analysis of some experimental data concerning the influence of some anticancer antibiotics on linker histones/DNA interactions. First, it was investigated the formulated hypothesis of the dependence of H1/DNA interaction on actinomycin D concentration. Such a relation was expected knowing the different mode for binding of the both drugs to DNA double helix. The applied statistical analysis using chi-square test for independence showed that the concentration of Actinomycin D in reaction mixture had no essential effect on linker histone/DNA binding. On the contrary, the same analysis with the second antibiotic - netropsin showed that we could not reject the hypothesis of dependence. Some other statistical models are also proposed, applying chi-square test for homogeneity, test of Willcockson, Smirnov's test and others. Description: 2000 Mathematics Subject Classification: 62P10, 92C40 URI: http://hdl.handle.net/10525/2293 ISSN: 0204-9805 Appears in Collections: 2005 Volume 17

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