Systematic in vivo analysis of the intrinsic determinants of amyloid Beta pathogenicity.

Protein aggregation into amyloid fibrils and protofibrillar aggregates is associated with a number of the most common neurodegenerative diseases. We have established, using a computational approach, that knowledge of the primary sequences of proteins is sufficient to predict their in vitro aggregati...

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Main Authors: Leila M Luheshi, Gian Gaetano Tartaglia, Ann-Christin Brorsson, Amol P Pawar, Ian E Watson, Fabrizio Chiti, Michele Vendruscolo, David A Lomas, Christopher M Dobson, Damian C Crowther
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2007-10-01
Series:PLoS Biology
Online Access:https://doi.org/10.1371/journal.pbio.0050290
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spelling doaj-c4e1adf9f10c4b98853de2fa4e79ca682021-07-02T21:22:23ZengPublic Library of Science (PLoS)PLoS Biology1544-91731545-78852007-10-01511e29010.1371/journal.pbio.0050290Systematic in vivo analysis of the intrinsic determinants of amyloid Beta pathogenicity.Leila M LuheshiGian Gaetano TartagliaAnn-Christin BrorssonAmol P PawarIan E WatsonFabrizio ChitiMichele VendruscoloDavid A LomasChristopher M DobsonDamian C CrowtherProtein aggregation into amyloid fibrils and protofibrillar aggregates is associated with a number of the most common neurodegenerative diseases. We have established, using a computational approach, that knowledge of the primary sequences of proteins is sufficient to predict their in vitro aggregation propensities. Here we demonstrate, using rational mutagenesis of the Abeta42 peptide based on such computational predictions of aggregation propensity, the existence of a strong correlation between the propensity of Abeta42 to form protofibrils and its effect on neuronal dysfunction and degeneration in a Drosophila model of Alzheimer disease. Our findings provide a quantitative description of the molecular basis for the pathogenicity of Abeta and link directly and systematically the intrinsic properties of biomolecules, predicted in silico and confirmed in vitro, to pathogenic events taking place in a living organism.https://doi.org/10.1371/journal.pbio.0050290
collection DOAJ
language English
format Article
sources DOAJ
author Leila M Luheshi
Gian Gaetano Tartaglia
Ann-Christin Brorsson
Amol P Pawar
Ian E Watson
Fabrizio Chiti
Michele Vendruscolo
David A Lomas
Christopher M Dobson
Damian C Crowther
spellingShingle Leila M Luheshi
Gian Gaetano Tartaglia
Ann-Christin Brorsson
Amol P Pawar
Ian E Watson
Fabrizio Chiti
Michele Vendruscolo
David A Lomas
Christopher M Dobson
Damian C Crowther
Systematic in vivo analysis of the intrinsic determinants of amyloid Beta pathogenicity.
PLoS Biology
author_facet Leila M Luheshi
Gian Gaetano Tartaglia
Ann-Christin Brorsson
Amol P Pawar
Ian E Watson
Fabrizio Chiti
Michele Vendruscolo
David A Lomas
Christopher M Dobson
Damian C Crowther
author_sort Leila M Luheshi
title Systematic in vivo analysis of the intrinsic determinants of amyloid Beta pathogenicity.
title_short Systematic in vivo analysis of the intrinsic determinants of amyloid Beta pathogenicity.
title_full Systematic in vivo analysis of the intrinsic determinants of amyloid Beta pathogenicity.
title_fullStr Systematic in vivo analysis of the intrinsic determinants of amyloid Beta pathogenicity.
title_full_unstemmed Systematic in vivo analysis of the intrinsic determinants of amyloid Beta pathogenicity.
title_sort systematic in vivo analysis of the intrinsic determinants of amyloid beta pathogenicity.
publisher Public Library of Science (PLoS)
series PLoS Biology
issn 1544-9173
1545-7885
publishDate 2007-10-01
description Protein aggregation into amyloid fibrils and protofibrillar aggregates is associated with a number of the most common neurodegenerative diseases. We have established, using a computational approach, that knowledge of the primary sequences of proteins is sufficient to predict their in vitro aggregation propensities. Here we demonstrate, using rational mutagenesis of the Abeta42 peptide based on such computational predictions of aggregation propensity, the existence of a strong correlation between the propensity of Abeta42 to form protofibrils and its effect on neuronal dysfunction and degeneration in a Drosophila model of Alzheimer disease. Our findings provide a quantitative description of the molecular basis for the pathogenicity of Abeta and link directly and systematically the intrinsic properties of biomolecules, predicted in silico and confirmed in vitro, to pathogenic events taking place in a living organism.
url https://doi.org/10.1371/journal.pbio.0050290
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