Literature DB >> 7563079

Self-association of beta-amyloid peptide (1-40) in solution and binding to lipid membranes.

E Terzi1, G Hölzemann, J Seelig.   

Abstract

The beta-amyloid peptide (beta AP), a 39 to 43 residue peptide, is the major component of Alzheimer plaques. Using circular dichroism spectroscopy, titration calorimetry, and analytical ultracentrifugation we have analyzed the self-association of beta AP(1-40) in aqueous solution and the binding of beta AP(1-40) to negatively charged lipid vesicles. The CD spectra of both aggregation and membrane binding are characterized by an isodichroic point at 212 nm, indicating a simple two-state equilibrium for both cases. In aqueous solution beta AP(1-40) exhibits a reversible, concentration-dependent random coil<-->beta-structure transition which can be described by a cooperative aggregation model with an association constant of s = 1.05 x 10(4)M-1 and a nucleation parameter of sigma = 0.012. A similar conformational change is observed upon addition of lipid. At a given peptide concentration, the addition of negatively charged, small unilamellar vesicles also induces a conformational change from a random coil conformation to a conformation with 40 to 60% beta-structure. The binding isotherm can be measured with high sensitivity titration calorimetry. It is approximately linear in the initial binding phase and exhibits an apparent saturation behaviour. The apparent binding constant decreases with concentration from Kapp approximately 2100 M-1 at low concentration to 700 M-1 at the highest concentration measured. Peptide penetration into the lipid membrane and peptide aggregation at the membrane surface are proposed as possible mechanisms to explain the lipid-induced random coil<-->beta-structure transition.

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Year:  1995        PMID: 7563079     DOI: 10.1006/jmbi.1995.0525

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


  64 in total

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2.  Hierarchical self-assembly of chiral rod-like molecules as a model for peptide beta -sheet tapes, ribbons, fibrils, and fibers.

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Journal:  Proc Natl Acad Sci U S A       Date:  2001-10-09       Impact factor: 11.205

3.  The modulating effect of mechanical changes in lipid bilayers caused by apoE-containing lipoproteins on Aβ induced membrane disruption.

Authors:  Justin Legleiter; John D Fryer; David M Holtzman; Andtomasz Kowalewski
Journal:  ACS Chem Neurosci       Date:  2011-10-19       Impact factor: 4.418

4.  Kinetic process of beta-amyloid formation via membrane binding.

Authors:  Yen Sun; Chang-Chun Lee; Tzu-Hsuan Chen; Huey W Huang
Journal:  Biophys J       Date:  2010-07-21       Impact factor: 4.033

5.  Inhibition of the electrostatic interaction between beta-amyloid peptide and membranes prevents beta-amyloid-induced toxicity.

Authors:  C Hertel; E Terzi; N Hauser; R Jakob-Rotne; J Seelig; J A Kemp
Journal:  Proc Natl Acad Sci U S A       Date:  1997-08-19       Impact factor: 11.205

6.  An unstructured region is required by GAV homologue for the fibrillization of host proteins.

Authors:  Li-Na Ji; Hai-Ning Du; Feng Zhang; Hong-Tao Li; Xiao-Ying Luo; Jun Hu; Hong-Yu Hu
Journal:  Protein J       Date:  2005-05       Impact factor: 2.371

7.  Cytoplasmic domain of human myelin protein zero likely folded as beta-structure in compact myelin.

Authors:  Xiaoyang Luo; Deepak Sharma; Hideyo Inouye; Daniel Lee; Robin L Avila; Mario Salmona; Daniel A Kirschner
Journal:  Biophys J       Date:  2006-12-01       Impact factor: 4.033

8.  The aggregation kinetics of Alzheimer's beta-amyloid peptide is controlled by stochastic nucleation.

Authors:  Peter Hortschansky; Volker Schroeckh; Tony Christopeit; Giorgia Zandomeneghi; Marcus Fändrich
Journal:  Protein Sci       Date:  2005-06-03       Impact factor: 6.725

9.  Early pathogenesis of cardiac amyloid deposition in senile systemic amyloidosis: close relationship between amyloid deposits and the basement membranes of myocardial cells.

Authors:  Motoji Sawabe; Akihiko Hamamatsu; Tateki Ito; Tomio Arai; Kumiko Ishikawa; Kouji Chida; Naotaka Izumiyama; Naoko Honma; Kaiyo Takubo; Masamitsu Nakazato
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Review 10.  GM1 Ganglioside: Past Studies and Future Potential.

Authors:  Massimo Aureli; Laura Mauri; Maria Grazia Ciampa; Alessandro Prinetti; Gino Toffano; Cynthia Secchieri; Sandro Sonnino
Journal:  Mol Neurobiol       Date:  2015-03-12       Impact factor: 5.590

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