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Experimental characterization of de novo proteins and their unevolved random-sequence counterparts
De novo gene emergence provides a route for new proteins to be formed from previously non-coding DNA. Proteins born in this way are considered random sequences and typically assumed to lack defined structure. While it remains unclear how likely a de novo protein is to assume a soluble and stable ter...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10089919/ https://www.ncbi.nlm.nih.gov/pubmed/37024625 http://dx.doi.org/10.1038/s41559-023-02010-2 |
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author | Heames, Brennen Buchel, Filip Aubel, Margaux Tretyachenko, Vyacheslav Loginov, Dmitry Novák, Petr Lange, Andreas Bornberg-Bauer, Erich Hlouchová, Klára |
author_facet | Heames, Brennen Buchel, Filip Aubel, Margaux Tretyachenko, Vyacheslav Loginov, Dmitry Novák, Petr Lange, Andreas Bornberg-Bauer, Erich Hlouchová, Klára |
author_sort | Heames, Brennen |
collection | PubMed |
description | De novo gene emergence provides a route for new proteins to be formed from previously non-coding DNA. Proteins born in this way are considered random sequences and typically assumed to lack defined structure. While it remains unclear how likely a de novo protein is to assume a soluble and stable tertiary structure, intersecting evidence from random sequence and de novo-designed proteins suggests that native-like biophysical properties are abundant in sequence space. Taking putative de novo proteins identified in human and fly, we experimentally characterize a library of these sequences to assess their solubility and structure propensity. We compare this library to a set of synthetic random proteins with no evolutionary history. Bioinformatic prediction suggests that de novo proteins may have remarkably similar distributions of biophysical properties to unevolved random sequences of a given length and amino acid composition. However, upon expression in vitro, de novo proteins exhibit moderately higher solubility which is further induced by the DnaK chaperone system. We suggest that while synthetic random sequences are a useful proxy for de novo proteins in terms of structure propensity, de novo proteins may be better integrated in the cellular system than random expectation, given their higher solubility. |
format | Online Article Text |
id | pubmed-10089919 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-100899192023-04-13 Experimental characterization of de novo proteins and their unevolved random-sequence counterparts Heames, Brennen Buchel, Filip Aubel, Margaux Tretyachenko, Vyacheslav Loginov, Dmitry Novák, Petr Lange, Andreas Bornberg-Bauer, Erich Hlouchová, Klára Nat Ecol Evol Article De novo gene emergence provides a route for new proteins to be formed from previously non-coding DNA. Proteins born in this way are considered random sequences and typically assumed to lack defined structure. While it remains unclear how likely a de novo protein is to assume a soluble and stable tertiary structure, intersecting evidence from random sequence and de novo-designed proteins suggests that native-like biophysical properties are abundant in sequence space. Taking putative de novo proteins identified in human and fly, we experimentally characterize a library of these sequences to assess their solubility and structure propensity. We compare this library to a set of synthetic random proteins with no evolutionary history. Bioinformatic prediction suggests that de novo proteins may have remarkably similar distributions of biophysical properties to unevolved random sequences of a given length and amino acid composition. However, upon expression in vitro, de novo proteins exhibit moderately higher solubility which is further induced by the DnaK chaperone system. We suggest that while synthetic random sequences are a useful proxy for de novo proteins in terms of structure propensity, de novo proteins may be better integrated in the cellular system than random expectation, given their higher solubility. Nature Publishing Group UK 2023-04-06 2023 /pmc/articles/PMC10089919/ /pubmed/37024625 http://dx.doi.org/10.1038/s41559-023-02010-2 Text en © The Author(s) 2023 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 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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Heames, Brennen Buchel, Filip Aubel, Margaux Tretyachenko, Vyacheslav Loginov, Dmitry Novák, Petr Lange, Andreas Bornberg-Bauer, Erich Hlouchová, Klára Experimental characterization of de novo proteins and their unevolved random-sequence counterparts |
title | Experimental characterization of de novo proteins and their unevolved random-sequence counterparts |
title_full | Experimental characterization of de novo proteins and their unevolved random-sequence counterparts |
title_fullStr | Experimental characterization of de novo proteins and their unevolved random-sequence counterparts |
title_full_unstemmed | Experimental characterization of de novo proteins and their unevolved random-sequence counterparts |
title_short | Experimental characterization of de novo proteins and their unevolved random-sequence counterparts |
title_sort | experimental characterization of de novo proteins and their unevolved random-sequence counterparts |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10089919/ https://www.ncbi.nlm.nih.gov/pubmed/37024625 http://dx.doi.org/10.1038/s41559-023-02010-2 |
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