| Autor: |
Astashev ME; Prokhorov General Physics Institute of the Russian Academy of Sciences, Vavilove St. 38, 119991 Moscow, Russia.; Federal Research Center 'Pushchino Scientific Center for Biological Research of the Russian Academy of Sciences', Institute of Cell Biophysics of the Russian Academy of Sciences, 3 Institutskaya St., 142290 Pushchino, Russia., Serov DA; Prokhorov General Physics Institute of the Russian Academy of Sciences, Vavilove St. 38, 119991 Moscow, Russia.; Federal Research Center 'Pushchino Scientific Center for Biological Research of the Russian Academy of Sciences', Institute of Cell Biophysics of the Russian Academy of Sciences, 3 Institutskaya St., 142290 Pushchino, Russia., Tankanag AV; Federal Research Center 'Pushchino Scientific Center for Biological Research of the Russian Academy of Sciences', Institute of Cell Biophysics of the Russian Academy of Sciences, 3 Institutskaya St., 142290 Pushchino, Russia., Knyazeva IV; Federal Scientific Agroengineering Center VIM, 1st Institutsky Proezd 5, 109428 Moscow, Russia., Dorokhov AA; Federal Scientific Agroengineering Center VIM, 1st Institutsky Proezd 5, 109428 Moscow, Russia., Simakin AV; Prokhorov General Physics Institute of the Russian Academy of Sciences, Vavilove St. 38, 119991 Moscow, Russia., Gudkov SV; Prokhorov General Physics Institute of the Russian Academy of Sciences, Vavilove St. 38, 119991 Moscow, Russia.; Federal Scientific Agroengineering Center VIM, 1st Institutsky Proezd 5, 109428 Moscow, Russia.; Institute of Biology and Biomedicine, Lobachevsky State University of Nizhny Novgorod Institute, Gagarin av. 23, 603105 Nizhny Novgorod, Russia. |
| Abstrakt: |
The oscillation synchronization analysis in biological systems will expand our knowledge about the response of living systems to changes in environmental conditions. This knowledge can be used in medicine (diagnosis, therapy, monitoring) and agriculture (increasing productivity, resistance to adverse effects). Currently, the search is underway for an informative, accurate and sensitive method for analyzing the synchronization of oscillatory processes in cell biology. It is especially pronounced in analyzing the concentration oscillations of intracellular signaling molecules in electrically nonexcitable cells. The bispectral analysis method could be applied to assess the characteristics of synchronized oscillations of intracellular mediators. We chose endothelial cells from mouse microvessels as model cells. Concentrations of well-studied calcium and nitric oxide (NO) were selected for study in control conditions and well-described stress: heating to 40 °C and hyperglycemia. The bispectral analysis allows us to accurately evaluate the proportion of synchronized cells, their synchronization degree, and the amplitude and frequency of synchronized calcium and NO oscillations. Heating to 40 °C increased cell synchronization for calcium but decreased for NO oscillations. Hyperglycemia abolished this effect. Heating to 40 °C changed the frequencies and increased the amplitudes of synchronized oscillations of calcium concentration and the NO synthesis rate. The first part of this paper describes the principles of the bispectral analysis method and equations and modifications of the method we propose. In the second part of this paper, specific examples of the application of bispectral analysis to assess the synchronization of living cells in vitro are presented. The discussion compares the capabilities of bispectral analysis with other analytical methods in this field. |
