| Probing Surface Structures of Shewanella spp. by Microelectrophoresis Biophysical Journal, Volume 90, Issue 7, 1 April 2006, Pages 2612-2621 Etienne Dague, Jérôme Duval, Frédéric Jorand, Fabien Thomas and Fabien Gaboriaud Abstract Long-range electrostatic forces substantially influence bacterial interactions and bacterial adhesion during the preliminary steps of biofilm formation. The strength of these forces depends strongly on the structure of the bacterium surfaces investigated. The latter may be addressed from appropriate analysis of electrophoretic mobility measurements. Due to the permeable character of the bacterium wall and/or surrounding polymer layer, bacteria may be regarded as paradigms of soft bioparticles. The electrophoretic motion of such particles in a direct-current electric field differs considerably from that of their rigid counterparts in the sense that electroosmotic flow takes place around and within the soft surface layer. Recent developments of electrokinetic theories for soft particles now render possible the evaluation of the softness degree (or equivalently the hydrodynamic permeability) from the raw electrokinetic data. In this article, the electrophoretic mobilities of three strains (MR-4, CN32, and BrY) presenting various and well-characterized phenotypes of polymer fringe are reported over a wide range of pH and ionic strength conditions. The data are quantitatively analyzed on the basis of a rigorous numerical evaluation of the governing electrostatic and hydrodynamic equations for soft particles. It is clearly shown how the peculiar surface structures of the bacteria investigated are reflected in their electrohydrodynamic properties. Abstract | Full Text | PDF (259 kb) |
| Vertebrate segmentation: The clock is linked to Notch signalling Current Biology, Volume 8, Issue 24, 3 December 1998, Pages R868-R871 Yun-Jin Jiang, Lucy Smithers and Julian Lewis Summary The periodic formation of somites during vertebrate segmentation has been suggested to involve a molecular ‘segmentation clock’. Recent observations of cyclic expression in chick and mouse embryos link the segmentation clock to Delta–Notch signalling. Summary | Full Text | PDF (307 kb) |
| Notch signaling: Fringe really is a glycosyltransferase Current Biology, Volume 10, Issue 16, 14 August 2000, Pages R608-R612 Seth S. Blair Summary Fringe modifies the ligand-selectivity of Notch in ways that are crucial for a number of Notch’s developmental functions. Recent results have confirmed the suspicion that Fringe is a glycosyltransferase that works in the Golgi complex by modifying Notch’s glycosylation state. Summary | Full Text | PDF (61 kb) |
Copyright © 1996 The Biophysical Society. All rights reserved.
Biophysical Journal, Volume 70, Issue 6, 2950-2958, 1 June 1996
doi:10.1016/S0006-3495(96)79865-X
Research Article
M. Köpf, C. Corinth, O. Haferkamp and T.F. Nonnenmacher
Department of Pathology, University of Ulm, Germany.
This article deals with the characterization of biological tissues and their pathological alterations. For this purpose, diffusion is measured by NMR in the fringe field of a large superconductor with a field gradient of 50 T/m, which is rather homogenous and stable. It is due to the unprecedented properties of the gradient that we are able not only to determine the usual diffusion coefficient, but also to observe the pronounced Non-Debye feature of the relaxation function due to cellular structure. The dynamics of the probability density follow a stretched exponential or Kohlrausch-Williams-Watts function. In the long time limit the Fourier transform of the probability density follows a long-tail Lévy function, whose asymptotic is related to the fractal dimension of the underlying cellular structure. Some of the properties of Lévy walk statistics are discussed and its potential importance in understanding certain biophysical phenomena like diffusion processes in biological tissues are pointed out. We present and discuss for the first time NMR data giving evidence for Lévy processes that capture the essential features of the observed power law (scaling) dynamics of water diffusion in fresh tissue specimens: carcinomas, fibrous mastopathies, adipose and liver tissues.