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A method of predicting the in vitro fibril formation propensity of Aβ40 mutants based on their inclusion body levels in E. coli

Overexpression of recombinant proteins in bacteria may lead to their aggregation and deposition in inclusion bodies. Since the conformational properties of proteins in inclusion bodies exhibit many of the characteristics typical of amyloid fibrils. Based on these findings, we hypothesize that the ra...

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Autores principales: Sanagavarapu, Kalyani, Nüske, Elisabeth, Nasir, Irem, Meisl, Georg, Immink, Jasper N., Sormanni, Pietro, Vendruscolo, Michele, Knowles, Tuomas P. J., Malmendal, Anders, Cabaleiro-Lago, Celia, Linse, Sara
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6403284/
https://www.ncbi.nlm.nih.gov/pubmed/30842594
http://dx.doi.org/10.1038/s41598-019-39216-z
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author Sanagavarapu, Kalyani
Nüske, Elisabeth
Nasir, Irem
Meisl, Georg
Immink, Jasper N.
Sormanni, Pietro
Vendruscolo, Michele
Knowles, Tuomas P. J.
Malmendal, Anders
Cabaleiro-Lago, Celia
Linse, Sara
author_facet Sanagavarapu, Kalyani
Nüske, Elisabeth
Nasir, Irem
Meisl, Georg
Immink, Jasper N.
Sormanni, Pietro
Vendruscolo, Michele
Knowles, Tuomas P. J.
Malmendal, Anders
Cabaleiro-Lago, Celia
Linse, Sara
author_sort Sanagavarapu, Kalyani
collection PubMed
description Overexpression of recombinant proteins in bacteria may lead to their aggregation and deposition in inclusion bodies. Since the conformational properties of proteins in inclusion bodies exhibit many of the characteristics typical of amyloid fibrils. Based on these findings, we hypothesize that the rate at which proteins form amyloid fibrils may be predicted from their propensity to form inclusion bodies. To establish a method based on this concept, we first measured by SDS-PAGE and confocal microscopy the level of inclusion bodies in E. coli cells overexpressing the 40-residue amyloid-beta peptide, Aβ40, wild-type and 24 charge mutants. We then compared these results with a number of existing computational aggregation propensity predictors as well as the rates of aggregation measured in vitro for selected mutants. Our results show a strong correlation between the level of inclusion body formation and aggregation propensity, thus demonstrating the power of this approach and its value in identifying factors modulating aggregation kinetics.
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spelling pubmed-64032842019-03-08 A method of predicting the in vitro fibril formation propensity of Aβ40 mutants based on their inclusion body levels in E. coli Sanagavarapu, Kalyani Nüske, Elisabeth Nasir, Irem Meisl, Georg Immink, Jasper N. Sormanni, Pietro Vendruscolo, Michele Knowles, Tuomas P. J. Malmendal, Anders Cabaleiro-Lago, Celia Linse, Sara Sci Rep Article Overexpression of recombinant proteins in bacteria may lead to their aggregation and deposition in inclusion bodies. Since the conformational properties of proteins in inclusion bodies exhibit many of the characteristics typical of amyloid fibrils. Based on these findings, we hypothesize that the rate at which proteins form amyloid fibrils may be predicted from their propensity to form inclusion bodies. To establish a method based on this concept, we first measured by SDS-PAGE and confocal microscopy the level of inclusion bodies in E. coli cells overexpressing the 40-residue amyloid-beta peptide, Aβ40, wild-type and 24 charge mutants. We then compared these results with a number of existing computational aggregation propensity predictors as well as the rates of aggregation measured in vitro for selected mutants. Our results show a strong correlation between the level of inclusion body formation and aggregation propensity, thus demonstrating the power of this approach and its value in identifying factors modulating aggregation kinetics. Nature Publishing Group UK 2019-03-06 /pmc/articles/PMC6403284/ /pubmed/30842594 http://dx.doi.org/10.1038/s41598-019-39216-z Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Sanagavarapu, Kalyani
Nüske, Elisabeth
Nasir, Irem
Meisl, Georg
Immink, Jasper N.
Sormanni, Pietro
Vendruscolo, Michele
Knowles, Tuomas P. J.
Malmendal, Anders
Cabaleiro-Lago, Celia
Linse, Sara
A method of predicting the in vitro fibril formation propensity of Aβ40 mutants based on their inclusion body levels in E. coli
title A method of predicting the in vitro fibril formation propensity of Aβ40 mutants based on their inclusion body levels in E. coli
title_full A method of predicting the in vitro fibril formation propensity of Aβ40 mutants based on their inclusion body levels in E. coli
title_fullStr A method of predicting the in vitro fibril formation propensity of Aβ40 mutants based on their inclusion body levels in E. coli
title_full_unstemmed A method of predicting the in vitro fibril formation propensity of Aβ40 mutants based on their inclusion body levels in E. coli
title_short A method of predicting the in vitro fibril formation propensity of Aβ40 mutants based on their inclusion body levels in E. coli
title_sort method of predicting the in vitro fibril formation propensity of aβ40 mutants based on their inclusion body levels in e. coli
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6403284/
https://www.ncbi.nlm.nih.gov/pubmed/30842594
http://dx.doi.org/10.1038/s41598-019-39216-z
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