Literature DB >> 21867485

Aggregation of amyloids in a cellular context: modelling and experiment.

Ran Friedman1.   

Abstract

Amyloid-related diseases are a group of illnesses in which an abnormal accumulation of proteins into fibrillar structures is evident. Results from a wide range of studies, ranging from identification of amyloid-β dimers in the brain to biophysical characterization of the interactions between amyloidogenic peptides and lipid membranes during fibril growth shed light on the initial events which take place during amyloid aggregation. Accounts of fibril disaggregation and formation of globular aggregates due to interactions with lipids or fatty acids further demonstrate the complexity of the aggregation process and the difficulty to treat amyloid-related diseases. There is an inherent difficulty in generalizing from studies of aggregation in vitro, but the involvement of too many cellular components limits the ability to follow amyloid aggregation in a cellular (or extracellular) context. Fortunately, the development of experimental methods to generate stable globular aggregates suggests new means of studying the molecular events associated with amyloid aggregation. Furthermore, simulation studies enable deeper understanding of the experimental results and provide useful predictions that can be tested in the laboratory. Computer simulations can nowadays provide molecular or even atomistic details that are experimentally not available or very difficult to obtain. In the present review, recent developments on modelling and experiments of amyloid aggregation are reviewed, and an integrative account on how isolated interactions (as observed in vitro and in silico) combine during the course of amyloid-related diseases is presented. Finally, it is argued that an integrative approach is necessary to get a better understanding of the protein aggregation process.

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Year:  2011        PMID: 21867485     DOI: 10.1042/BJ20110369

Source DB:  PubMed          Journal:  Biochem J        ISSN: 0264-6021            Impact factor:   3.857


  15 in total

1.  Side-chain hydrophobicity and the stability of Aβ₁₆₋₂₂ aggregates.

Authors:  Workalemahu M Berhanu; Ulrich H E Hansmann
Journal:  Protein Sci       Date:  2012-12       Impact factor: 6.725

Review 2.  Amyloid β Protein and Alzheimer's Disease: When Computer Simulations Complement Experimental Studies.

Authors:  Jessica Nasica-Labouze; Phuong H Nguyen; Fabio Sterpone; Olivia Berthoumieu; Nicolae-Viorel Buchete; Sébastien Coté; Alfonso De Simone; Andrew J Doig; Peter Faller; Angel Garcia; Alessandro Laio; Mai Suan Li; Simone Melchionna; Normand Mousseau; Yuguang Mu; Anant Paravastu; Samuela Pasquali; David J Rosenman; Birgit Strodel; Bogdan Tarus; John H Viles; Tong Zhang; Chunyu Wang; Philippe Derreumaux
Journal:  Chem Rev       Date:  2015-03-19       Impact factor: 60.622

3.  Computational modeling of the relationship between amyloid and disease.

Authors:  Damien Hall; Herman Edskes
Journal:  Biophys Rev       Date:  2012-09

4.  Structural transformation and physical properties of a hydrogel-forming peptide studied by NMR, transmission electron microscopy, and dynamic rheometer.

Authors:  Hongzhou Huang; Alvaro I Herrera; Zhiping Luo; Om Prakash; Xiuzhi S Sun
Journal:  Biophys J       Date:  2012-09-05       Impact factor: 4.033

5.  Techniques for Monitoring Protein Misfolding and Aggregation in Vitro and in Living Cells.

Authors:  Simpson Gregoire; Jacob Irwin; Inchan Kwon
Journal:  Korean J Chem Eng       Date:  2012-06       Impact factor: 3.309

6.  Determinants of amyloid fibril degradation by the PDZ protease HTRA1.

Authors:  Simon Poepsel; Andreas Sprengel; Barbara Sacca; Farnusch Kaschani; Markus Kaiser; Christos Gatsogiannis; Stefan Raunser; Tim Clausen; Michael Ehrmann
Journal:  Nat Chem Biol       Date:  2015-10-05       Impact factor: 15.040

Review 7.  Membrane Protein Structure, Function, and Dynamics: a Perspective from Experiments and Theory.

Authors:  Zoe Cournia; Toby W Allen; Ioan Andricioaei; Bruno Antonny; Daniel Baum; Grace Brannigan; Nicolae-Viorel Buchete; Jason T Deckman; Lucie Delemotte; Coral Del Val; Ran Friedman; Paraskevi Gkeka; Hans-Christian Hege; Jérôme Hénin; Marina A Kasimova; Antonios Kolocouris; Michael L Klein; Syma Khalid; M Joanne Lemieux; Norbert Lindow; Mahua Roy; Jana Selent; Mounir Tarek; Florentina Tofoleanu; Stefano Vanni; Sinisa Urban; David J Wales; Jeremy C Smith; Ana-Nicoleta Bondar
Journal:  J Membr Biol       Date:  2015-06-11       Impact factor: 1.843

8.  The "brain-skin connection" in protein misfolding and amyloid deposits: embryological, pathophysiological, and therapeutic common grounds?

Authors:  Philip P Foster
Journal:  Front Neurol       Date:  2012-04-23       Impact factor: 4.003

9.  Using bacterial inclusion bodies to screen for amyloid aggregation inhibitors.

Authors:  Anna Villar-Piqué; Alba Espargaró; Raimon Sabaté; Natalia S de Groot; Salvador Ventura
Journal:  Microb Cell Fact       Date:  2012-05-03       Impact factor: 5.328

10.  Macromolecular crowding in solution alters huntingtin interaction and aggregation at interfaces.

Authors:  Sharon E Groover; Adewale Adegbuyiro; Caleb K Fan; Breanna L Hodges; Maryssa Beasley; Katelyn Taylor; Alyssa R Stonebraker; Chathuranga Siriwardhana; Justin Legleiter
Journal:  Colloids Surf B Biointerfaces       Date:  2021-07-07       Impact factor: 5.999

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