Evidence map›Paper›PMID 41882715›Full record

ReviewCell communication and signaling : CCS2026

Proximity labeling strategies in Caenorhabditis elegans: a comprehensive review.

Boopathi Balasubramaniam, Ransome van der Hoeven

Abstract readReview
In one paragraph

Review in Cell communication and signaling : CCS, 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

2 authors.

Boopathi BalasubramaniamIowa Institute for Oral Health Research, University of Iowa College of Dentistry, Iowa City, Iowa, 52242, USA. balasubramaniam.bbs@gmail.com.
Ransome van der HoevenIowa Institute for Oral Health Research, University of Iowa College of Dentistry, Iowa City, Iowa, 52242, USA. ransome-vanderhoeven@uiowa.edu.

Funding

Pathogen-induced immune and stress responses mediated by bZIP transcription factorsR01AI158429 · NIAID · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI VAN DER HOEVEN, RANSOME · 2021 to 2025
$1.9M
NIAID NIH HHS R01 AI158429
6 · The paper itself

Abstract

The field of proteomics has been revolutionized by the development of proximity labeling (PL), a method that allows for the in vivo mapping of protein-protein interactions (PPIs) and the characterization of regulated proteomes. In the model organism C. elegans, PL methods offer new opportunities to unravel spatially and temporally regulated protein networks. This review offers a comprehensive overview of the principles and applications of PL strategies, including peroxidase-based (APX) and biotin ligase-based (BioID, TurboID, miniTurboID, and UltraID) systems, as applied in C. elegans research. We highlight how these tools address the limitations of traditional interactomics methods such as co-immunoprecipitation and yeast two-hybrid, enabling the study of transient, weak, and compartment-specific protein networks. Furthermore, we discuss recent innovations, such as nanobody-based indirect labeling, which expand the versatility and precision of PL. We also discuss the practical considerations, technical challenges, and future directions for advancing PL technology in C. elegans to build a more holistic understanding of protein function within a living organism. Collectively, these developments establish PL as a robust framework for dissecting dynamic proteomic interactions within the physiological context of C. elegans.

Indexed as

Caenorhabditis elegansCaenorhabditis elegans ProteinsProtein Interaction MappingProteomicsStaining and LabelingAnimalsCaenorhabditis elegans ProteinsAPXC. elegansMass spectrometryProximity labelingTurboID

Identifiers

PMID41882715
PMCPMC13137674

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.