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Exploiting the endogenous yeast nuclear proteome to identify short linear motifs in vivo

Peptide-domain interactions mediated by short linear motifs (SLiMs) play crucial roles in cellular biology. The simplicity of SLiMs poses challenges in their computational identification. Existing high-throughput methods for discovering SLiMs lack cellular context as they are typically performed in ...

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Detalles Bibliográficos
Autores principales: Tessier, Tanner M., King, Cason R., Mymryk, Joe S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10694487/
https://www.ncbi.nlm.nih.gov/pubmed/37949066
http://dx.doi.org/10.1016/j.crmeth.2023.100637
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author Tessier, Tanner M.
King, Cason R.
Mymryk, Joe S.
author_facet Tessier, Tanner M.
King, Cason R.
Mymryk, Joe S.
author_sort Tessier, Tanner M.
collection PubMed
description Peptide-domain interactions mediated by short linear motifs (SLiMs) play crucial roles in cellular biology. The simplicity of SLiMs poses challenges in their computational identification. Existing high-throughput methods for discovering SLiMs lack cellular context as they are typically performed in vitro. We developed a functional selection method using yeast to identify peptides that interact with the endogenous yeast nuclear proteome. Remarkably, peptides selected for in yeast also mediated nuclear import in human cells. Notably, the identified peptides did not resemble classical nuclear localization sequences. This platform has the potential to identify and investigate motifs that interact with the nuclear proteome of yeast and human and to aid in the identification and understanding of alternative protein nuclear import mechanisms.
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spelling pubmed-106944872023-12-05 Exploiting the endogenous yeast nuclear proteome to identify short linear motifs in vivo Tessier, Tanner M. King, Cason R. Mymryk, Joe S. Cell Rep Methods Report Peptide-domain interactions mediated by short linear motifs (SLiMs) play crucial roles in cellular biology. The simplicity of SLiMs poses challenges in their computational identification. Existing high-throughput methods for discovering SLiMs lack cellular context as they are typically performed in vitro. We developed a functional selection method using yeast to identify peptides that interact with the endogenous yeast nuclear proteome. Remarkably, peptides selected for in yeast also mediated nuclear import in human cells. Notably, the identified peptides did not resemble classical nuclear localization sequences. This platform has the potential to identify and investigate motifs that interact with the nuclear proteome of yeast and human and to aid in the identification and understanding of alternative protein nuclear import mechanisms. Elsevier 2023-11-09 /pmc/articles/PMC10694487/ /pubmed/37949066 http://dx.doi.org/10.1016/j.crmeth.2023.100637 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 Report
Tessier, Tanner M.
King, Cason R.
Mymryk, Joe S.
Exploiting the endogenous yeast nuclear proteome to identify short linear motifs in vivo
title Exploiting the endogenous yeast nuclear proteome to identify short linear motifs in vivo
title_full Exploiting the endogenous yeast nuclear proteome to identify short linear motifs in vivo
title_fullStr Exploiting the endogenous yeast nuclear proteome to identify short linear motifs in vivo
title_full_unstemmed Exploiting the endogenous yeast nuclear proteome to identify short linear motifs in vivo
title_short Exploiting the endogenous yeast nuclear proteome to identify short linear motifs in vivo
title_sort exploiting the endogenous yeast nuclear proteome to identify short linear motifs in vivo
topic Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10694487/
https://www.ncbi.nlm.nih.gov/pubmed/37949066
http://dx.doi.org/10.1016/j.crmeth.2023.100637
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