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Kinetics of sickle hemoglobin polymerization. III. Nucleation rates determined from stochastic fluctuations in polymerization progress curves
Authors:J Hofrichter
Affiliation:1. Bundeswehr Institute of Radiobiology Affiliated to the University of Ulm, Neuherbergstrasse 11, 80937 Munich, Germany;2. Institute of Pathology and Molecular Pathology, Bundeswehrkrankenhaus Ulm, Oberer Eselsberg 40, 89081 Ulm, Germany;3. Gerhard Domagk Institute of Pathology, University Hospital Münster, Domagkstrasse 17, 48149 Münster, Germany;4. Institute of Pharmacology of Natural Products and Clinical Pharmacology, University of Ulm, Helmholtzstrasse 20, 89081 Ulm, Germany;1. Department of Mechanical and Materials Engineering, University of Cincinnati, Cincinnati, OH, United States;2. Heart Institute, Division of Paediatric Cardiology, Cincinnati Children’s Hospital and Medical Center, Cincinnati, OH, United States;1. Division of Neonatal-Perinatal Medicine, Department of Pediatrics, University of South Alabama School of Medicine, Mobile, AL, USA;2. Magee-Womens Research Institute, Pittsburgh, PA, USA
Abstract:
The polymerization kinetics of sickle cell hemoglobin are found to exhibit stochastic variations when observed in very small volumes (approximately 10(-10) cm3). The distribution of progress curves has been measured at several temperatures for a 4.50 mM-hemoglobin S sample using a laser-photolysis, light-scattering technique. The progress curves at a given temperature are superimposable when translated along the time axis, showing that the variability of the kinetic progress curves results primarily from fluctuations in the time at which polymerization is initiated. The shapes of the initial part of the progress curves are well-fitted using the functional form I(t) = Io + As exp (Bt), derived from a dual nucleation model. When the distribution of the measured tenth times is broad, the rate of homogeneous nucleation can be obtained by fitting the exponential tail of the distribution. As the distribution sharpen, the rate of homogeneous nucleation can be estimated by modelling the width of the distribution function using a simple Monte-Carlo simulation of the polymerization kinetics. Using the rates of homogeneous nucleation obtained from the distributions, the rates of heterogeneous nucleation and polymer growth can be obtained from the experimental parameters As and B. The resulting nucleation rates are roughly 1000 times greater than those obtained from an analysis of bulk kinetic data. The results provide strong support for the dual-nucleation mechanism and show that the distribution of progress curves provides a powerful independent method for measuring the rate of homogeneous nucleation and thereby obtaining values for the other principal rates of the mechanism.
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