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Computational analysis of androgen receptor (AR) variants to decipher the relationship between protein stability and related-diseases

Although more than 1,000 androgen receptor (AR) mutations have been identified and these mutants are pathologically important, few theoretical studies have investigated the role of AR protein folding stability in disease and its relationship with the phenotype of the patients. Here, we extracted AR...

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Autores principales: Chen, Fangfang, Chen, Xiaoqing, Jiang, Fan, Leng, Feng, Liu, Wei, Gui, Yaoting, Yu, Jing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7374729/
https://www.ncbi.nlm.nih.gov/pubmed/32694570
http://dx.doi.org/10.1038/s41598-020-68731-7
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author Chen, Fangfang
Chen, Xiaoqing
Jiang, Fan
Leng, Feng
Liu, Wei
Gui, Yaoting
Yu, Jing
author_facet Chen, Fangfang
Chen, Xiaoqing
Jiang, Fan
Leng, Feng
Liu, Wei
Gui, Yaoting
Yu, Jing
author_sort Chen, Fangfang
collection PubMed
description Although more than 1,000 androgen receptor (AR) mutations have been identified and these mutants are pathologically important, few theoretical studies have investigated the role of AR protein folding stability in disease and its relationship with the phenotype of the patients. Here, we extracted AR variant data from four databases: ARDB, HGMD, Cosmic, and 1,000 genome. 905 androgen insensitivity syndrome (AIS)-associated loss-of-function mutants and 168 prostate cancer-associated gain-of-function mutants in AR were found. We analyzed the effect of single-residue variation on the folding stability of AR by FoldX and guanidine hydrochloride denaturation experiment, and found that genetic disease-associated mutations tend to have a significantly greater effect on protein stability than gene polymorphisms. Moreover, AR mutants in complete androgen insensitivity syndrome (CAIS) tend to have a greater effect on protein stability than in partial androgen insensitive syndrome (PAIS). This study, by linking disease phenotypes to changes in AR stability, demonstrates the importance of protein stability in the pathogenesis of hereditary disease.
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spelling pubmed-73747292020-07-22 Computational analysis of androgen receptor (AR) variants to decipher the relationship between protein stability and related-diseases Chen, Fangfang Chen, Xiaoqing Jiang, Fan Leng, Feng Liu, Wei Gui, Yaoting Yu, Jing Sci Rep Article Although more than 1,000 androgen receptor (AR) mutations have been identified and these mutants are pathologically important, few theoretical studies have investigated the role of AR protein folding stability in disease and its relationship with the phenotype of the patients. Here, we extracted AR variant data from four databases: ARDB, HGMD, Cosmic, and 1,000 genome. 905 androgen insensitivity syndrome (AIS)-associated loss-of-function mutants and 168 prostate cancer-associated gain-of-function mutants in AR were found. We analyzed the effect of single-residue variation on the folding stability of AR by FoldX and guanidine hydrochloride denaturation experiment, and found that genetic disease-associated mutations tend to have a significantly greater effect on protein stability than gene polymorphisms. Moreover, AR mutants in complete androgen insensitivity syndrome (CAIS) tend to have a greater effect on protein stability than in partial androgen insensitive syndrome (PAIS). This study, by linking disease phenotypes to changes in AR stability, demonstrates the importance of protein stability in the pathogenesis of hereditary disease. Nature Publishing Group UK 2020-07-21 /pmc/articles/PMC7374729/ /pubmed/32694570 http://dx.doi.org/10.1038/s41598-020-68731-7 Text en © The Author(s) 2020 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/.
spellingShingle Article
Chen, Fangfang
Chen, Xiaoqing
Jiang, Fan
Leng, Feng
Liu, Wei
Gui, Yaoting
Yu, Jing
Computational analysis of androgen receptor (AR) variants to decipher the relationship between protein stability and related-diseases
title Computational analysis of androgen receptor (AR) variants to decipher the relationship between protein stability and related-diseases
title_full Computational analysis of androgen receptor (AR) variants to decipher the relationship between protein stability and related-diseases
title_fullStr Computational analysis of androgen receptor (AR) variants to decipher the relationship between protein stability and related-diseases
title_full_unstemmed Computational analysis of androgen receptor (AR) variants to decipher the relationship between protein stability and related-diseases
title_short Computational analysis of androgen receptor (AR) variants to decipher the relationship between protein stability and related-diseases
title_sort computational analysis of androgen receptor (ar) variants to decipher the relationship between protein stability and related-diseases
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7374729/
https://www.ncbi.nlm.nih.gov/pubmed/32694570
http://dx.doi.org/10.1038/s41598-020-68731-7
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