Literature DB >> 19167311

Fiber depolymerization: fracture, fragments, vanishing times, and stochastics in sickle hemoglobin.

Jiang Cheng Wang1, Suzanna Kwong, Frank A Ferrone, Matthew S Turner, Robin W Briehl.   

Abstract

The well-characterized rates, mechanisms, and stochastics of nucleation-dependent polymerization of deoxyhemoglobin S (HbS) are important in governing whether or not vaso-occlusive sickle cell crises will occur. The less well studied kinetics of depolymerization may also be important, for example in achieving full dissolution of polymers in the lungs, in resolution of crises and/or in minimizing gelation-induced cellular damage. We examine depolymerization by microscopic observations on depolymerizing HbS fibers, by Monte Carlo simulations and by analytical characterization of the mechanisms. We show that fibers fracture. Experimental scatter of rates is consistent with stochastic features of the analytical model and Monte Carlo results. We derive a model for the distribution of vanishing times and also show the distribution of fracture-dependent fiber fragment lengths and its time dependence. We describe differences between depolymerization of single fibers and bundles and propose models for bundle dissolution. Our basic model can be extended to dissolution of gels containing many fibers and is also applicable to other reversible linear polymers that dissolve by random fracture and end-depolymerization. Under the model, conditions in which residual HbS polymers exist and facilitate repolymerization and thus pathology can be defined; whereas for normal polymers requiring cyclic polymerization and depolymerization for function, conditions for rapid cycling due to residual aggregates can be identified.

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Year:  2009        PMID: 19167311      PMCID: PMC2716469          DOI: 10.1016/j.bpj.2008.04.001

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  29 in total

1.  Fiber depolymerization.

Authors:  M S Turner; G Agarwal; C W Jones; J C Wang; S Kwong; F A Ferrone; R Josephs; R W Briehl
Journal:  Biophys J       Date:  2006-05-19       Impact factor: 4.033

2.  Ultrastructure of sickling and unsickling in time-lapse studies.

Authors:  J A Hahn; M J Messer; T B Bradley
Journal:  Br J Haematol       Date:  1976-12       Impact factor: 6.998

3.  Ligand kinetics of hemoglobin S containing erythrocytes.

Authors:  J P Harrington; D Elbaum; R M Bookchin; J B Wittenberg; R L Nagel
Journal:  Proc Natl Acad Sci U S A       Date:  1977-01       Impact factor: 11.205

4.  Ligand binding and the gelation of sickle cell hemoglobin.

Authors:  J Hofrichter
Journal:  J Mol Biol       Date:  1979-03-05       Impact factor: 5.469

5.  The rates of polymerization and depolymerization of sickle cell hemoglobin.

Authors:  K Moffat; Q H Gibson
Journal:  Biochem Biophys Res Commun       Date:  1974-11-06       Impact factor: 3.575

6.  Three-dimensional reconstruction of the fibres of sickle cell haemoglobin.

Authors:  G Dykes; R H Crepeau; S J Edelstein
Journal:  Nature       Date:  1978-04-06       Impact factor: 49.962

7.  Kinetics of sickle hemoglobin polymerization. I. Studies using temperature-jump and laser photolysis techniques.

Authors:  F A Ferrone; J Hofrichter; W A Eaton
Journal:  J Mol Biol       Date:  1985-06-25       Impact factor: 5.469

8.  Oxygen binding by sickle cell hemoglobin polymers.

Authors:  H R Sunshine; J Hofrichter; F A Ferrone; W A Eaton
Journal:  J Mol Biol       Date:  1982-06-25       Impact factor: 5.469

9.  Three-dimensional reconstruction of the 14-filament fibers of hemoglobin S.

Authors:  G W Dykes; R H Crepeau; S J Edelstein
Journal:  J Mol Biol       Date:  1979-06-05       Impact factor: 5.469

10.  Kinetics of sickle hemoglobin polymerization. II. A double nucleation mechanism.

Authors:  F A Ferrone; J Hofrichter; W A Eaton
Journal:  J Mol Biol       Date:  1985-06-25       Impact factor: 5.469

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  1 in total

1.  Mesoscopic Adaptive Resolution Scheme toward Understanding of Interactions between Sickle Cell Fibers.

Authors:  Lu Lu; He Li; Xin Bian; Xuejin Li; George Em Karniadakis
Journal:  Biophys J       Date:  2017-07-11       Impact factor: 4.033

  1 in total

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