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

Tanner M Tessier, Cason R King, Joe S Mymryk

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Article in Cell reports methods, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed

–field-weighted citation impact, top 68% of its field

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed, 0 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Tanner M TessierDepartment of Microbiology and Immunology, Western University, London, ON, Canada.

Cason R KingDepartment of Microbiology and Immunology, Western University, London, ON, Canada.

Joe S MymrykDepartment of Microbiology and Immunology, Western University, London, ON, Canada; Department of Oncology, Western University, London, ON, Canada; Department of Otolaryngology, Western University, London, ON, Canada; London Regional Cancer Program, Lawson Health Research Institute, London, ON, Canada. Electronic address: jmymryk@uwo.ca.

Western University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

ProteomeSaccharomyces cerevisiaeAmino Acid MotifsHumansPeptidesPeptidesProteomeCP: Cell biologyCP: Molecular biologygenetic selectionmodel organismnon-classical nuclear importpiggybackingprotein-protein interactionsshort linear motifsynthetic biology

Identifiers

PMID37949066

DOI10.1016/j.crmeth.2023.100637

PMCPMC10694487

OpenAlexW4388524616

What OpenQuestion holds

Textmetadata

LicenceCC BY-NC-ND

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.