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Proteome-wide landscape of solubility limits in a bacterial cell
Proteins are prone to aggregate when expressed above their solubility limits. Aggregation may occur rapidly, potentially as early as proteins emerge from the ribosome, or slowly, following synthesis. However, in vivo data on aggregation rates are scarce. Here, we classified the Escherichia coli prot...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9023497/ https://www.ncbi.nlm.nih.gov/pubmed/35449391 http://dx.doi.org/10.1038/s41598-022-10427-1 |
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author | Györkei, Ádám Daruka, Lejla Balogh, Dávid Őszi, Erika Magyar, Zoltán Szappanos, Balázs Fekete, Gergely Fuxreiter, Mónika Horváth, Péter Pál, Csaba Kintses, Bálint Papp, Balázs |
author_facet | Györkei, Ádám Daruka, Lejla Balogh, Dávid Őszi, Erika Magyar, Zoltán Szappanos, Balázs Fekete, Gergely Fuxreiter, Mónika Horváth, Péter Pál, Csaba Kintses, Bálint Papp, Balázs |
author_sort | Györkei, Ádám |
collection | PubMed |
description | Proteins are prone to aggregate when expressed above their solubility limits. Aggregation may occur rapidly, potentially as early as proteins emerge from the ribosome, or slowly, following synthesis. However, in vivo data on aggregation rates are scarce. Here, we classified the Escherichia coli proteome into rapidly and slowly aggregating proteins using an in vivo image-based screen coupled with machine learning. We find that the majority (70%) of cytosolic proteins that become insoluble upon overexpression have relatively low rates of aggregation and are unlikely to aggregate co-translationally. Remarkably, such proteins exhibit higher folding rates compared to rapidly aggregating proteins, potentially implying that they aggregate after reaching their folded states. Furthermore, we find that a substantial fraction (~ 35%) of the proteome remain soluble at concentrations much higher than those found naturally, indicating a large margin of safety to tolerate gene expression changes. We show that high disorder content and low surface stickiness are major determinants of high solubility and are favored in abundant bacterial proteins. Overall, our study provides a global view of aggregation rates and hence solubility limits of proteins in a bacterial cell. |
format | Online Article Text |
id | pubmed-9023497 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-90234972022-04-25 Proteome-wide landscape of solubility limits in a bacterial cell Györkei, Ádám Daruka, Lejla Balogh, Dávid Őszi, Erika Magyar, Zoltán Szappanos, Balázs Fekete, Gergely Fuxreiter, Mónika Horváth, Péter Pál, Csaba Kintses, Bálint Papp, Balázs Sci Rep Article Proteins are prone to aggregate when expressed above their solubility limits. Aggregation may occur rapidly, potentially as early as proteins emerge from the ribosome, or slowly, following synthesis. However, in vivo data on aggregation rates are scarce. Here, we classified the Escherichia coli proteome into rapidly and slowly aggregating proteins using an in vivo image-based screen coupled with machine learning. We find that the majority (70%) of cytosolic proteins that become insoluble upon overexpression have relatively low rates of aggregation and are unlikely to aggregate co-translationally. Remarkably, such proteins exhibit higher folding rates compared to rapidly aggregating proteins, potentially implying that they aggregate after reaching their folded states. Furthermore, we find that a substantial fraction (~ 35%) of the proteome remain soluble at concentrations much higher than those found naturally, indicating a large margin of safety to tolerate gene expression changes. We show that high disorder content and low surface stickiness are major determinants of high solubility and are favored in abundant bacterial proteins. Overall, our study provides a global view of aggregation rates and hence solubility limits of proteins in a bacterial cell. Nature Publishing Group UK 2022-04-21 /pmc/articles/PMC9023497/ /pubmed/35449391 http://dx.doi.org/10.1038/s41598-022-10427-1 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Györkei, Ádám Daruka, Lejla Balogh, Dávid Őszi, Erika Magyar, Zoltán Szappanos, Balázs Fekete, Gergely Fuxreiter, Mónika Horváth, Péter Pál, Csaba Kintses, Bálint Papp, Balázs Proteome-wide landscape of solubility limits in a bacterial cell |
title | Proteome-wide landscape of solubility limits in a bacterial cell |
title_full | Proteome-wide landscape of solubility limits in a bacterial cell |
title_fullStr | Proteome-wide landscape of solubility limits in a bacterial cell |
title_full_unstemmed | Proteome-wide landscape of solubility limits in a bacterial cell |
title_short | Proteome-wide landscape of solubility limits in a bacterial cell |
title_sort | proteome-wide landscape of solubility limits in a bacterial cell |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9023497/ https://www.ncbi.nlm.nih.gov/pubmed/35449391 http://dx.doi.org/10.1038/s41598-022-10427-1 |
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