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Systematic conformation-to-phenotype mapping via limited deep-sequencing of proteins
Non-native conformations drive protein misfolding diseases, complicate bioengineering efforts, and fuel molecular evolution. No current experimental technique is well-suited for elucidating them and their phenotypic effects. Especially intractable are the transient conformations populated by intrins...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cornell University
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9915745/ https://www.ncbi.nlm.nih.gov/pubmed/36776823 |
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author | Serebryany, Eugene Zhao, Victor Y. Park, Kibum Bitran, Amir Trauger, Sunia A. Budnik, Bogdan Shakhnovich, Eugene I. |
author_facet | Serebryany, Eugene Zhao, Victor Y. Park, Kibum Bitran, Amir Trauger, Sunia A. Budnik, Bogdan Shakhnovich, Eugene I. |
author_sort | Serebryany, Eugene |
collection | PubMed |
description | Non-native conformations drive protein misfolding diseases, complicate bioengineering efforts, and fuel molecular evolution. No current experimental technique is well-suited for elucidating them and their phenotypic effects. Especially intractable are the transient conformations populated by intrinsically disordered proteins. We describe an approach to systematically discover, stabilize, and purify native and non-native conformations, generated in vitro or in vivo, and directly link conformations to molecular, organismal, or evolutionary phenotypes. This approach involves high-throughput disulfide scanning (HTDS) of the entire protein. To reveal which disulfides trap which chromatographically resolvable conformers, we devised a deep-sequencing method for double-Cys variant libraries of proteins that precisely and simultaneously locates both Cys residues within each polypeptide. HTDS of the abundant E. coli periplasmic chaperone HdeA revealed distinct classes of disordered hydrophobic conformers with variable cytotoxicity depending on where the backbone was cross-linked. HTDS can bridge conformational and phenotypic landscapes for many proteins that function in disulfide-permissive environments. |
format | Online Article Text |
id | pubmed-9915745 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cornell University |
record_format | MEDLINE/PubMed |
spelling | pubmed-99157452023-02-11 Systematic conformation-to-phenotype mapping via limited deep-sequencing of proteins Serebryany, Eugene Zhao, Victor Y. Park, Kibum Bitran, Amir Trauger, Sunia A. Budnik, Bogdan Shakhnovich, Eugene I. ArXiv Article Non-native conformations drive protein misfolding diseases, complicate bioengineering efforts, and fuel molecular evolution. No current experimental technique is well-suited for elucidating them and their phenotypic effects. Especially intractable are the transient conformations populated by intrinsically disordered proteins. We describe an approach to systematically discover, stabilize, and purify native and non-native conformations, generated in vitro or in vivo, and directly link conformations to molecular, organismal, or evolutionary phenotypes. This approach involves high-throughput disulfide scanning (HTDS) of the entire protein. To reveal which disulfides trap which chromatographically resolvable conformers, we devised a deep-sequencing method for double-Cys variant libraries of proteins that precisely and simultaneously locates both Cys residues within each polypeptide. HTDS of the abundant E. coli periplasmic chaperone HdeA revealed distinct classes of disordered hydrophobic conformers with variable cytotoxicity depending on where the backbone was cross-linked. HTDS can bridge conformational and phenotypic landscapes for many proteins that function in disulfide-permissive environments. Cornell University 2023-01-30 /pmc/articles/PMC9915745/ /pubmed/36776823 Text en https://creativecommons.org/licenses/by-nc-sa/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (https://creativecommons.org/licenses/by-nc-sa/4.0/) , which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format for noncommercial purposes only, and only so long as attribution is given to the creator. If you remix, adapt, or build upon the material, you must license the modified material under identical terms. |
spellingShingle | Article Serebryany, Eugene Zhao, Victor Y. Park, Kibum Bitran, Amir Trauger, Sunia A. Budnik, Bogdan Shakhnovich, Eugene I. Systematic conformation-to-phenotype mapping via limited deep-sequencing of proteins |
title | Systematic conformation-to-phenotype mapping via limited deep-sequencing of proteins |
title_full | Systematic conformation-to-phenotype mapping via limited deep-sequencing of proteins |
title_fullStr | Systematic conformation-to-phenotype mapping via limited deep-sequencing of proteins |
title_full_unstemmed | Systematic conformation-to-phenotype mapping via limited deep-sequencing of proteins |
title_short | Systematic conformation-to-phenotype mapping via limited deep-sequencing of proteins |
title_sort | systematic conformation-to-phenotype mapping via limited deep-sequencing of proteins |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9915745/ https://www.ncbi.nlm.nih.gov/pubmed/36776823 |
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