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

ABSTRACT: 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.

SUBMITTER: Tessier TM

PROVIDER: S-EPMC10694487 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature

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

Tessier Tanner M TM King Cason R CR Mymryk Joe S JS

Cell reports methods 20231109 11

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 nu ...[more]

PMID: 37949066

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