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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

Sanagavarapu, Kalyani LU ; Nüske, Elisabeth; Nasir, Irem LU ; Meisl, Georg; Immink, Jasper N. LU ; Sormanni, Pietro; Vendruscolo, Michele; Knowles, Tuomas P.J.; Malmendal, Anders LU and Cabaleiro-Lago, Celia LU , et al. (2019) In Scientific Reports 9(1).
Abstract

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... (More)

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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Scientific Reports
volume
9
issue
1
publisher
Nature Publishing Group
external identifiers
  • scopus:85062585399
ISSN
2045-2322
DOI
10.1038/s41598-019-39216-z
language
English
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yes
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4fb21681-e694-46c1-9ccc-621e1fb1cc81
date added to LUP
2019-03-15 09:01:05
date last changed
2019-04-10 04:21:08
@article{4fb21681-e694-46c1-9ccc-621e1fb1cc81,
  abstract     = {<p>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.</p>},
  articleno    = {3680},
  author       = {Sanagavarapu, Kalyani and Nüske, Elisabeth and Nasir, Irem and Meisl, Georg and Immink, Jasper N. and Sormanni, Pietro and Vendruscolo, Michele and Knowles, Tuomas P.J. and Malmendal, Anders and Cabaleiro-Lago, Celia and Linse, Sara},
  issn         = {2045-2322},
  language     = {eng},
  month        = {03},
  number       = {1},
  publisher    = {Nature Publishing Group},
  series       = {Scientific Reports},
  title        = {A method of predicting the in vitro fibril formation propensity of Aβ40 mutants based on their inclusion body levels in E. coli},
  url          = {http://dx.doi.org/10.1038/s41598-019-39216-z},
  volume       = {9},
  year         = {2019},
}