Literature DB >> 17766358

The distribution of residues in a polypeptide sequence is a determinant of aggregation optimized by evolution.

Elodie Monsellier1, Matteo Ramazzotti, Patrizia Polverino de Laureto, Gian-Gaetano Tartaglia, Niccolò Taddei, Angelo Fontana, Michele Vendruscolo, Fabrizio Chiti.   

Abstract

It has been shown that the propensity of a protein to form amyloid-like fibrils can be predicted with high accuracy from the knowledge of its amino acid sequence. It has also been suggested, however, that some regions of the sequences are more important than others in determining the aggregation process. Here, we have addressed this issue by constructing a set of "sequence scrambled" variants of the first 29 residues of horse heart apomyoglobin (apoMb(1-29)), in which the sequence was modified while maintaining the same amino acid composition. The clustering of the most amyloidogenic residues in one region of the sequence was found to cause a marked increase of the elongation rate (k(agg)) and a remarkable shortening of the lag phase (t(lag)) of the fibril growth, as determined by far-UV circular dichroism and thioflavin T fluorescence. We also show that taking explicitly into consideration the presence of aggregation-promoting regions in the predictive methods results in a quantitative agreement between the theoretical and observed k(agg) and t(lag) values of the apoMb(1-29) variants. These results, together with a comparison between homologous segments from the family of globins, indicate the existence of a negative selection against the clustering of highly amyloidogenic residues in one or few regions of polypeptide sequences.

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Year:  2007        PMID: 17766358      PMCID: PMC2098718          DOI: 10.1529/biophysj.107.111336

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  54 in total

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Authors:  Kateri F DuBay; Amol P Pawar; Fabrizio Chiti; Jesús Zurdo; Christopher M Dobson; Michele Vendruscolo
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7.  Prediction of sequence-dependent and mutational effects on the aggregation of peptides and proteins.

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Review 8.  Pathways of chaperone-mediated protein folding in the cytosol.

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10.  Insight into the structure of amyloid fibrils from the analysis of globular proteins.

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Journal:  PLoS Comput Biol       Date:  2006-10-30       Impact factor: 4.475

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  19 in total

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Review 3.  Prevention of amyloid-like aggregation as a driving force of protein evolution.

Authors:  Elodie Monsellier; Fabrizio Chiti
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4.  Natural selection against protein aggregation on self-interacting and essential proteins in yeast, fly, and worm.

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Journal:  Mol Biol Evol       Date:  2008-05-23       Impact factor: 16.240

5.  A Shift in Aggregation Avoidance Strategy Marks a Long-Term Direction to Protein Evolution.

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Journal:  Genetics       Date:  2019-01-28       Impact factor: 4.562

6.  Analyses of the general rule on residue pair frequencies in local amino acid sequences of soluble, ordered proteins.

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Journal:  Protein Sci       Date:  2013-04-29       Impact factor: 6.725

7.  Proline periodicity modulates the self-assembly properties of elastin-like polypeptides.

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8.  A computational approach for identifying the chemical factors involved in the glycosaminoglycans-mediated acceleration of amyloid fibril formation.

Authors:  Elodie Monsellier; Matteo Ramazzotti; Niccolò Taddei; Fabrizio Chiti
Journal:  PLoS One       Date:  2010-06-29       Impact factor: 3.240

9.  Theory of Sequence Effects in Amyloid Aggregation.

Authors:  Caleb Huang; Elaheh Ghanati; Jeremy D Schmit
Journal:  J Phys Chem B       Date:  2018-03-09       Impact factor: 2.991

10.  NetCSSP: web application for predicting chameleon sequences and amyloid fibril formation.

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