Literature DB >> 3783684

Kinetics of sickle hemoglobin polymerization. III. Nucleation rates determined from stochastic fluctuations in polymerization progress curves.

J Hofrichter.   

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.

Entities:  

Mesh:

Substances:

Year:  1986        PMID: 3783684     DOI: 10.1016/0022-2836(86)90324-4

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


  34 in total

1.  Intermolecular interactions, nucleation, and thermodynamics of crystallization of hemoglobin C.

Authors:  Peter G Vekilov; Angela R Feeling-Taylor; Dimiter N Petsev; Oleg Galkin; Ronald L Nagel; Rhoda Elison Hirsch
Journal:  Biophys J       Date:  2002-08       Impact factor: 4.033

2.  Monomer diffusion and polymer alignment in domains of sickle hemoglobin.

Authors:  M R Cho; F A Ferrone
Journal:  Biophys J       Date:  1992-07       Impact factor: 4.033

3.  Understanding the shape of sickled red cells.

Authors:  Garrott W Christoph; James Hofrichter; William A Eaton
Journal:  Biophys J       Date:  2004-11-12       Impact factor: 4.033

4.  Nucleation of sickle hemoglobin mixed with hemoglobin A: experimental and theoretical studies of hybrid-forming mixtures.

Authors:  Maria Rotter; Donna Yosmanovich; Robin W Briehl; Suzanna Kwong; Frank A Ferrone
Journal:  Biophys J       Date:  2011-12-07       Impact factor: 4.033

5.  Size distribution of amyloid nanofibrils.

Authors:  Raffaela Cabriolu; Dimo Kashchiev; Stefan Auer
Journal:  Biophys J       Date:  2011-11-01       Impact factor: 4.033

6.  Theoretical description of the spatial dependence of sickle hemoglobin polymerization.

Authors:  H X Zhou; F A Ferrone
Journal:  Biophys J       Date:  1990-09       Impact factor: 4.033

7.  Free heme and the polymerization of sickle cell hemoglobin.

Authors:  Veselina V Uzunova; Weichun Pan; Oleg Galkin; Peter G Vekilov
Journal:  Biophys J       Date:  2010-09-22       Impact factor: 4.033

8.  Tracking the heterogeneous distribution of amyloid spherulites and their population balance with free fibrils.

Authors:  V Foderà; A M Donald
Journal:  Eur Phys J E Soft Matter       Date:  2010-11-04       Impact factor: 1.890

9.  Simulated formation of polymer domains in sickle hemoglobin.

Authors:  Q Dou; F A Ferrone
Journal:  Biophys J       Date:  1993-11       Impact factor: 4.033

10.  The formation of spherulites by amyloid fibrils of bovine insulin.

Authors:  Mark R H Krebs; Cait E Macphee; Aline F Miller; Iain E Dunlop; Christopher M Dobson; Athene M Donald
Journal:  Proc Natl Acad Sci U S A       Date:  2004-09-20       Impact factor: 11.205

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.