Evidence map›Paper›PMID 42681051›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2026

TurboID-Based Proximity Labeling for Exploiting Effector Interacting Proteins in the Fungal Maize Pathogen Ustilago maydis.

Wei Shi, Hirofumi Nakagami, Isabel M L Saur, Gunther Doehlemann

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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Wei ShiInstitute for Plant Sciences and Cluster of Excellence on Plant Sciences (CEPLAS), University of Cologne, Cologne, Germany.
Hirofumi NakagamiProtein Mass Spectrometry, Max-Planck Institute for Plant Breeding Research, Cologne, Germany.
Isabel M L SaurInstitute for Plant Sciences and Cluster of Excellence on Plant Sciences (CEPLAS), University of Cologne, Cologne, Germany.
Gunther DoehlemannInstitute for Plant Sciences and Cluster of Excellence on Plant Sciences (CEPLAS), University of Cologne, Cologne, Germany. g.doehlemann@uni-koeln.de.ORCID http://orcid.org/0000-0002-7353-8456

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

TurboID-based proximity labeling (PL) is an advanced method for identifying proteins in the immediate molecular environment of a protein of interest under physiological conditions. TurboID enables the rapid and covalent biotinylation of proteins in proximity to the bait proteins in living cells, capturing both stable and transient interactions with high temporal resolution. Most plant pathogens secrete effectors that modulate host immunity and facilitate infection. The effector-targeted host proteins are commonly involved in plant resistance or susceptibility. Elucidating these proteins is meaningful for crop improvement and design. The corn smut fungus Ustilago maydis causes tumor formation on all aerial parts of maize. The U. maydis-maize pathosystem is a model system for studying biotrophic fungi and their interactions with plants. To identify U. maydis effector targets in maize, a TurboID-based PL approach was developed to explore effector interactors in the U. maydis-maize pathosystem. This approach serves as a versatile tool for obtaining interactomes of effector baits in host tissues.

Indexed as

Fungal ProteinsPlant DiseasesProtein Interaction MappingUstilagoZea maysBasidiomycotaHost-Pathogen InteractionsPlant ProteinsFungal ProteinsPlant ProteinsFungal effectorsMaizePlant–pathogen interactionTurboIDUstilago maydis

Identifiers

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Registered trials

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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.