We analyze fluorescence due to oxidizing activity of DNA in
neutrophils of peripheral blood in the large populations ~104 - 105 of cells. Fluorescence is registered by flow cytometry method. Spatial
resolution is about a few nanometers for varied complex three-dimensional (3D) DNA nanostructures of all non-coding and coding parts of DNA. It’s
shown that oxidative activity of all 3D DNA in the full set of chromosomes
inside cells is defined by new standards for complex networks of “exponentially small
worlds”, with more dense packing than in the well known networks of “small
worlds”. Analysis of various blood samples in
vivo and during medical treatment shown that only two classes of Good and
Bad Networks of DNA for a good and a bad health existed. This
division is defined by any network to one from two classes of “n” or “s” shaped
curves for typical deviations and from straight line in perfect networks of “exponentially
small worlds”, as for two types of hysteresis curves at phase transitions or at
switching of bistability. These deviations coincide with two types of positive
and negative trends of changing fractal dimension by changing the
scales of multi-scale networks of fluorescing DNA. These trends give the
overall assessments of human immunity, including hidden and unidentified
diseases, and as a sum of all kinds of health and illness of given person, from
the point of view the inner life of neutrophils, living in different parts of
human body in given time. Characteristics of deviations associated with type,
level and complexity of illness in the dependence on the
Cite this paper
Galich, N. (2013) Fractal Networks of Real Worlds of Fluorescing DNA in Complete Set of Chromosomes inside Blood Cells for Medical Diagnostics. Open Journal of Biophysics
, 232-244. doi: 10.4236/ojbiphy.2013.34029
 N. E. Galich, “Complex Networks, Fractals and Topology Trends for Oxidative Activity of DNA in Cells for Populations of Fluorescing Neutrophils in Medical Diagnostics,” Physics Procedia, Vol. 22, 2011, pp. 177-185.
 M. V. Filatov, E. Y. Varfolomeeva and E. A. Ivanov, “Flow Cytofluorometric Detection of Inflammatory Processes by Measuring Respiratory Burst Reaction of Peripheral Blood Neutrophils,” Biochemistry & Molecular Medicine, Vol. 55, No. 2, 1995, pp. 116-121.
 N. E. Galich, “Bifurcations of Averaged Immunofluorescence Distributions Due to Oxidative Activity of DNA in Medical Diagnostics,” Biophysical Reviews and Letters, Vol. 5, No. 4, 2010, pp. 227-240.
 N. E. Galich, “Shannon-Weaver Biodiversity of Neutrophils in Fractal Networks of Immunofluorescence for Medical Diagnostics,” Journal of WASET, Vol. 70, 2010, pp. 504-515.
 M. E. J. Newman, “The Structure and Function of Complex Networks,” SIAM Review, Vol. 45, No. 2, 2003, pp. 167-256. http://dx.doi.org/10.1137/S003614450342480
 N. E. Galich, “Cytometric Distributions and Wavelet Spectra of Immunofluorescence Noise in Medical Diagnostics,” O. Dossel and W. Schlegel, Eds., WC 2009 IF- MBE Proceedings, Vol. 25/IV, 2009, pp. 1936-1939.
 Ya. B. Zel’dovich, et al., “Intermittency in Random Media,” Soviet Physics Uspekhi, Vol. 30, No. 5, 1987, pp. 353-385.
 J. Feder, “Fractals,” Plenum Press, New York, 1988.
 T. Gneiting and M. Schlather, “Stochastic Models That Separate Fractal Dimension and the Hurst Effect,” SIAM Review, Vol. 46, No. 2, 2004, pp. 269-282.
 B. Mandelbrot, “The Fractal Geometry of Nature,” W.H. Freeman, San Francisco, 1977.
 M.-B. Hu, et al., “Dynamical Hysteresis Phenomena in Complex Network Traffic,” Physical Review E, Vol. 79, No, 4, 2009, Article ID: 047101.
 M. Wanunu, “Nanopores: A Journey towards DNA Sequenching,” Physics of Life Reviews, Vol. 9, No. 2, 2012, pp. 125-158.
 L. A. Mirny, “The Fractal Globule as a Model of Chromatin Architecture in the Cell,” Chromosome Research, Vol. 19, No. 1, 2012, pp. 37-51.
 K. Bloom1 and A. Joglekar, “Towards Building a Chromo Some Segregation Machine,” Nature, Vol. 463, No. 7280, 2010, pp. 448-456.
 A. C. Gilbert, W. Willinger and A. Feldmann, “Scaling Analysis of Conservative Cascades, with Applications to Network Traffic,” IEEE Transaction on Information Theory, Vol. 45, No. 3, 1999, pp. 971-981.
 B. Tadi, G. J. Rodgers and S. Thurner, “Transport on Complex Networks: Flow, Jamming and Optimization,” International Journal of Bifurcation and Chaos, Vol. 17, No. 7, 2007, pp. 2363-2385.