Jonathan A Fauerbach1, Thomas M Jovin2. 1. Miltenyi Biotec GmbH, Friedrich-Ebert Str. 42, 51429, Bergisch-Gladbach, Germany. 2. Laboratory of Cellular Dynamics, Max Planck Institute for Biophysical Chemistry, Am Fassberg 11, 37077, Göttingen, Germany. tjovin@gwdg.de.
Abstract
The defining feature of the extensive family of amyloid diseases is the formation of networks of entangled elongated protein fibrils and amorphous aggregates exhibiting crossed β-sheet secondary structure. The time course of amyloid conversion has been studied extensively in vitro with the proteins involved in the neurodegenerative pathology of Parkinson's disease (α-synuclein), Alzheimer's disease (Tau) and Huntington's disease (Huntingtin). Although much is known about the thermodynamics and kinetics of the transition from a soluble, intrinsically disordered monomer to the fibrillar end state, the putative oligomeric intermediates, currently considered to be the major initiators of cellular toxicity, are as yet poorly defined. We have detected and characterized amyloid precursors by monitoring AS aggregation with ESIPT (excited state intramolecular protein transfer) probes, one of which, 7MFE [7-(3-maleimido-N-propanamide)-2-(4-diethyaminophenyl)-3-hydroxychromone], is introduced here and compared with a related compound, 6MFC, used previously. A series of 140 spectra for sparsely labeled AS was acquired during the course of aggregation, and resolved into the relative contributions (spectra, intensities) of discrete molecular species including the monomeric, fibrillar, and ensemble of intermediate forms. Based on these findings, a kinetic scheme was devised to simulate progress curves as a function of key parameters. An essential feature of the model, one not previously invoked in schemes of amyloid aggregation, is the catalysis of molecular fuzziness by discrete colloidal nanoparticles arising spontaneously via monomer condensation upon exposure of AS to ≥ 37 °C.
The defining n class="Chemical">feature of the extensive family of amyloid diseases is the formation of networks of entangled elongated protein fibrils and amorphous aggregates exhibiting crossed β-sheet secondary structure. The time course of amyloid conversion has been studied extensively in vitro with the proteins involved in the neurodegenerative pathology of Parkinson's disease (α-synuclein), Alzheimer's disease (Tau) andHuntington's disease (Huntingtin). Although much is known about the thermodynamics and kinetics of the transition from a soluble, intrinsically disordered monomer to the fibrillar end state, the putative oligomeric intermediates, currently considered to be the major initiators of cellular toxicity, are as yet poorly defined. We have detected and characterized amyloid precursors by monitoring AS aggregation with ESIPT (excited state intramolecular protein transfer) probes, one of which, 7MFE [7-(3-maleimido-N-propanamide)-2-(4-diethyaminophenyl)-3-hydroxychromone], is introduced here and compared with a related compound, 6MFC, used previously. A series of 140 spectra for sparsely labeledAS was acquiredduring the course of aggregation, and resolved into the relative contributions (spectra, intensities) of discrete molecular species including the monomeric, fibrillar, and ensemble of intermediate forms. Based on these findings, a kinetic scheme wasdevised to simulate progress curves as a function of key parameters. An essential feature of the model, one not previously invoked in schemes of amyloid aggregation, is the catalysis of molecular fuzziness by discrete colloidal nanoparticles arising spontaneously via monomer condensation upon exposure of AS to ≥ 37 °C.
Authors: Dmytro A Yushchenko; Jonathan A Fauerbach; Shyamala Thirunavukkuarasu; Elizabeth A Jares-Erijman; Thomas M Jovin Journal: J Am Chem Soc Date: 2010-06-16 Impact factor: 15.419
Authors: Lena F Burbulla; Pingping Song; Joseph R Mazzulli; Enrico Zampese; Yvette C Wong; Sohee Jeon; David P Santos; Judith Blanz; Carolin D Obermaier; Chelsee Strojny; Jeffrey N Savas; Evangelos Kiskinis; Xiaoxi Zhuang; Rejko Krüger; D James Surmeier; Dimitri Krainc Journal: Science Date: 2017-09-07 Impact factor: 47.728
Authors: Florencia González-Lizárraga; Sergio B Socías; César L Ávila; Clarisa M Torres-Bugeau; Leandro R S Barbosa; Andres Binolfi; Julia E Sepúlveda-Díaz; Elaine Del-Bel; Claudio O Fernandez; Dulce Papy-Garcia; Rosangela Itri; Rita Raisman-Vozari; Rosana N Chehín Journal: Sci Rep Date: 2017-02-03 Impact factor: 4.379
Authors: Alexander K Buell; Céline Galvagnion; Ricardo Gaspar; Emma Sparr; Michele Vendruscolo; Tuomas P J Knowles; Sara Linse; Christopher M Dobson Journal: Proc Natl Acad Sci U S A Date: 2014-05-09 Impact factor: 11.205