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Spatial covariance analysis reveals the residue-by-residue thermodynamic contribution of variation to the CFTR fold
Although the impact of genome variation on the thermodynamic properties of function on the protein fold has been studied in vitro, it remains a challenge to assign these relationships across the entire polypeptide sequence in vivo. Using the Gaussian process regression based principle of Spatial CoV...
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/PMC9008016/ https://www.ncbi.nlm.nih.gov/pubmed/35418593 http://dx.doi.org/10.1038/s42003-022-03302-2 |
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author | Anglès, Frédéric Wang, Chao Balch, William E. |
author_facet | Anglès, Frédéric Wang, Chao Balch, William E. |
author_sort | Anglès, Frédéric |
collection | PubMed |
description | Although the impact of genome variation on the thermodynamic properties of function on the protein fold has been studied in vitro, it remains a challenge to assign these relationships across the entire polypeptide sequence in vivo. Using the Gaussian process regression based principle of Spatial CoVariance, we globally assign on a residue-by-residue basis the biological thermodynamic properties that contribute to the functional fold of CFTR in the cell. We demonstrate the existence of a thermodynamically sensitive region of the CFTR fold involving the interface between NBD1 and ICL4 that contributes to its export from endoplasmic reticulum. At the cell surface a new set of residues contribute uniquely to the management of channel function. These results support a general ‘quality assurance’ view of global protein fold management as an SCV principle describing the differential pre- and post-ER residue interactions contributing to compartmentalization of the energetics of the protein fold for function. Our results set the stage for future analyses of the quality systems managing protein sequence-to-function-to-structure broadly encompassing genome design leading to protein function in complex cellular relationships responsible for diversity and fitness in biology in response to the environment. |
format | Online Article Text |
id | pubmed-9008016 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-90080162022-04-27 Spatial covariance analysis reveals the residue-by-residue thermodynamic contribution of variation to the CFTR fold Anglès, Frédéric Wang, Chao Balch, William E. Commun Biol Article Although the impact of genome variation on the thermodynamic properties of function on the protein fold has been studied in vitro, it remains a challenge to assign these relationships across the entire polypeptide sequence in vivo. Using the Gaussian process regression based principle of Spatial CoVariance, we globally assign on a residue-by-residue basis the biological thermodynamic properties that contribute to the functional fold of CFTR in the cell. We demonstrate the existence of a thermodynamically sensitive region of the CFTR fold involving the interface between NBD1 and ICL4 that contributes to its export from endoplasmic reticulum. At the cell surface a new set of residues contribute uniquely to the management of channel function. These results support a general ‘quality assurance’ view of global protein fold management as an SCV principle describing the differential pre- and post-ER residue interactions contributing to compartmentalization of the energetics of the protein fold for function. Our results set the stage for future analyses of the quality systems managing protein sequence-to-function-to-structure broadly encompassing genome design leading to protein function in complex cellular relationships responsible for diversity and fitness in biology in response to the environment. Nature Publishing Group UK 2022-04-13 /pmc/articles/PMC9008016/ /pubmed/35418593 http://dx.doi.org/10.1038/s42003-022-03302-2 Text en © The Author(s) 2022, corrected publication 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 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 Anglès, Frédéric Wang, Chao Balch, William E. Spatial covariance analysis reveals the residue-by-residue thermodynamic contribution of variation to the CFTR fold |
title | Spatial covariance analysis reveals the residue-by-residue thermodynamic contribution of variation to the CFTR fold |
title_full | Spatial covariance analysis reveals the residue-by-residue thermodynamic contribution of variation to the CFTR fold |
title_fullStr | Spatial covariance analysis reveals the residue-by-residue thermodynamic contribution of variation to the CFTR fold |
title_full_unstemmed | Spatial covariance analysis reveals the residue-by-residue thermodynamic contribution of variation to the CFTR fold |
title_short | Spatial covariance analysis reveals the residue-by-residue thermodynamic contribution of variation to the CFTR fold |
title_sort | spatial covariance analysis reveals the residue-by-residue thermodynamic contribution of variation to the cftr fold |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9008016/ https://www.ncbi.nlm.nih.gov/pubmed/35418593 http://dx.doi.org/10.1038/s42003-022-03302-2 |
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