Human erythrocyte flickering: temperature, ATP concentration, water transport, and cell aging, plus a computer simulation.
Images of human erythrocytes from a healthy donor were recorded under differential interference contrast (DIC) microscopy; they were acquired rapidly (approximately 336 Hz) and the intensity of the centermost pixel of each cell was recorded for approximately 60 s (20,000 values). Various techniques were used to analyze the data, including detrended fluctuation analysis (DFA) and multiscale entropy (MSE); however, power spectrum analysis was deemed the most appropriate for metrifying and comparing results. This analysis was used to compare cells from young and old populations, and after perturbing normal conditions, with changes in temperature, adenosine triphosphate (ATP) concentration (using NaF, an inhibitor of glycolysis, and alpha-toxin, a pore-forming molecule used to permeabilize red cells to ATP), and water transport rates [using glycerol, and p-chloromercuriphenylsulfonic acid (pCMBS) to inhibit aquaporins, AQPs]. There were measurable differences in the membrane fluctuation characteristics in populations of young and old cells, but there was no significant change in the flickering time series on changing the temperature of an individual cell, by depleting it of ATP, or by competing with the minor water exchange pathway via AQP3 using glycerol. However, pCMBS, which inhibits AQP1, the major water exchange pathway, inhibited flickering in all cells, and yet it was restored by the membrane intercalating species dibutyl phthalate (DBP). We developed a computer model to simulate acquired displacement spectral time courses and to evaluate various methods of data analysis, and showed how the flexibility of the membrane, as defined in the model, affects the flickering time course.
Szekely
David
D
School of Molecular and Microbial Biosciences, University of Sydney, Building G08, Sydney, NSW, 2006, Australia.
Yau
Tsz Wai
TW
Kuchel
Philip W
PW
D000255:Adenosine Triphosphate / Q000378:metabolism*; D000818:Animals; D001692:Biological Transport; D002417:Cattle; D002462:Cell Membrane / Q000378:metabolism; D016922:Cellular Senescence; D003198:Computer Simulation; D003599:Cytoskeleton / Q000378:metabolism; D019277:Entropy; D004912:Erythrocytes / Q000166:cytology* / Q000378:metabolism*; D005583:Fourier Analysis; D006801:Humans; D008954:Models, Biological; D009010:Monte Carlo Method; D009068:Movement; D013696:Temperature; D014867:Water / Q000378:metabolism*
D014867:Water; D000255:Adenosine Triphosphate