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Deep mutational scanning of proteins in mammalian cells

Protein mutagenesis is essential for unveiling the molecular mechanisms underlying protein function in health, disease, and evolution. In the past decade, deep mutational scanning methods have evolved to support the functional analysis of nearly all possible single-amino acid changes in a protein of...

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Detalles Bibliográficos
Autores principales: Maes, Stefanie, Deploey, Nick, Peelman, Frank, Eyckerman, Sven
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10694495/
https://www.ncbi.nlm.nih.gov/pubmed/37963462
http://dx.doi.org/10.1016/j.crmeth.2023.100641
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author Maes, Stefanie
Deploey, Nick
Peelman, Frank
Eyckerman, Sven
author_facet Maes, Stefanie
Deploey, Nick
Peelman, Frank
Eyckerman, Sven
author_sort Maes, Stefanie
collection PubMed
description Protein mutagenesis is essential for unveiling the molecular mechanisms underlying protein function in health, disease, and evolution. In the past decade, deep mutational scanning methods have evolved to support the functional analysis of nearly all possible single-amino acid changes in a protein of interest. While historically these methods were developed in lower organisms such as E. coli and yeast, recent technological advancements have resulted in the increased use of mammalian cells, particularly for studying proteins involved in human disease. These advancements will aid significantly in the classification and interpretation of variants of unknown significance, which are being discovered at large scale due to the current surge in the use of whole-genome sequencing in clinical contexts. Here, we explore the experimental aspects of deep mutational scanning studies in mammalian cells and report the different methods used in each step of the workflow, ultimately providing a useful guide toward the design of such studies.
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spelling pubmed-106944952023-12-05 Deep mutational scanning of proteins in mammalian cells Maes, Stefanie Deploey, Nick Peelman, Frank Eyckerman, Sven Cell Rep Methods Review Protein mutagenesis is essential for unveiling the molecular mechanisms underlying protein function in health, disease, and evolution. In the past decade, deep mutational scanning methods have evolved to support the functional analysis of nearly all possible single-amino acid changes in a protein of interest. While historically these methods were developed in lower organisms such as E. coli and yeast, recent technological advancements have resulted in the increased use of mammalian cells, particularly for studying proteins involved in human disease. These advancements will aid significantly in the classification and interpretation of variants of unknown significance, which are being discovered at large scale due to the current surge in the use of whole-genome sequencing in clinical contexts. Here, we explore the experimental aspects of deep mutational scanning studies in mammalian cells and report the different methods used in each step of the workflow, ultimately providing a useful guide toward the design of such studies. Elsevier 2023-11-13 /pmc/articles/PMC10694495/ /pubmed/37963462 http://dx.doi.org/10.1016/j.crmeth.2023.100641 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Review
Maes, Stefanie
Deploey, Nick
Peelman, Frank
Eyckerman, Sven
Deep mutational scanning of proteins in mammalian cells
title Deep mutational scanning of proteins in mammalian cells
title_full Deep mutational scanning of proteins in mammalian cells
title_fullStr Deep mutational scanning of proteins in mammalian cells
title_full_unstemmed Deep mutational scanning of proteins in mammalian cells
title_short Deep mutational scanning of proteins in mammalian cells
title_sort deep mutational scanning of proteins in mammalian cells
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10694495/
https://www.ncbi.nlm.nih.gov/pubmed/37963462
http://dx.doi.org/10.1016/j.crmeth.2023.100641
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