Literature DB >> 21059380

Temperature- and hydration-dependent internal dynamics of stripped human erythrocyte vesicles studied by incoherent neutron scattering.

S Combet1, J-M Zanotti, M-C Bellissent-Funel.   

Abstract

BACKGROUND: We focus on temperature- and hydration-dependence of internal molecular motions in stripped human red blood cell (RBC) vesicles, widely used as a model system for more complex biomembranes.
METHODS: We singled out picosecond local motions of the non-exchangeable hydrogen atoms of RBC vesicles by performing elastic and quasielastic incoherent neutron scattering measurements in dry and heavy water (D₂O)-hydrated RBC powders.
RESULTS: In dry stripped RBCs, hydrogen motions remained harmonic all along the measured temperature range (100-310K) and mean-square displacements (MSDs) exhibited no temperature transition up to 310K. In contrast, MSDs of hydrated stripped RBCs (h ≈ 0.38g D₂O/g dry powder) exhibited a pronounced transition near 260K, with the sharp rise of anharmonic diffusive motions of hydrogen atoms. This transition at ~260K was correlated with both the onset of nonvibrational (harmonic and nonharmonic) motions and the melting of crystallized hydration water. GENERAL SIGNIFICANCE: In conclusion, we have shown that MSDs in human RBC vesicles are temperature-and hydration-dependent. These results provide insight into biomembrane internal dynamics at picosecond timescale and nanometer length scale. Such motions have been shown to act as the "lubricant" of larger conformational changes on a slower, millisecond timescale that are necessary for important biological processes.
Copyright © 2010 Elsevier B.V. All rights reserved.

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Year:  2010        PMID: 21059380     DOI: 10.1016/j.bbagen.2010.10.009

Source DB:  PubMed          Journal:  Biochim Biophys Acta        ISSN: 0006-3002


  1 in total

1.  Correlation between supercoiling and conformational motions of the bacterial flagellar filament.

Authors:  Andreas M Stadler; Tobias Unruh; Keiichi Namba; Fadel Samatey; Giuseppe Zaccai
Journal:  Biophys J       Date:  2013-11-05       Impact factor: 4.033

  1 in total

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