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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Journal of Proteomic...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Journal of Proteomics
Article . 2015 . Peer-reviewed
License: Elsevier TDM
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A feature analysis of lower solubility proteins in three eukaryotic systems

Authors: Razvan F, Albu; Gerard T, Chan; Mang, Zhu; Eric T C, Wong; Farnaz, Taghizadeh; Xiaoke, Hu; Arya E, Mehran; +3 Authors

A feature analysis of lower solubility proteins in three eukaryotic systems

Abstract

Because misfolded and damaged proteins can form potentially harmful aggregates, all living organisms have evolved a wide variety of quality control mechanisms. However, the timely clearance of aggregation-prone species may not always be achieved, potentially leading to the accumulation of low solubility proteins. At the same time, promiscuity, which can be a driving force for aggregation, is also important to the functionality of certain proteins which have a large number of interaction partners. Considerable efforts have been made towards characterizing why some proteins appear to be more aggregation-prone than others. In this study, we analyze the features of proteins which precipitate following centrifugation in unstressed yeast cells, human SH-SY5Y cells and mouse brain tissue. By normalizing for protein abundance, we devised an approach whereby lower solubility proteins are reliably identified. Our findings indicate that these tend to be longer, low abundance proteins, which contain fewer hydrophobic amino acids. Furthermore, low solubility proteins also contain more low complexity and disordered regions. Overall, we observed an increase in features that link low solubility proteins to functional aggregates. Our results indicate that lower solubility proteins from three biologically distinct model systems share several common traits, shedding light on potentially universal solubility determinants.We set up a novel approach to identify lower solubility proteins in unstressed cells by comparing precipitated proteins with those that remain soluble after centrifugation. By analyzing three eukaryotic model systems in parallel, we were able to identify traits which cross the species barrier, as well as species-specific characteristics. Notably, our analyses revealed a number of primary and secondary structural features that set apart lower solubility proteins, a number of which connected them to a greater potential for promiscuity. This article is part of a Special Issue entitled: Protein dynamics in health and disease. Guest Editors: Pierre Thibault and Anne-Claude Gingras.

Related Organizations
Keywords

Mice, Protein Aggregates, Solubility, Animals, Humans, Saccharomyces cerevisiae, Recombinant Proteins, Cell Line

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
15
Top 10%
Average
Top 10%
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