Evidence map›Paper›PMID 42616709›Full record

ArticlePloS one2026

Neuropeptide visualization using split GFP in live C. elegans.

Binta Maria Aleogho, Rikuou Yokosawa, Kentaro Noma

Abstract read
In one paragraph

Article in PloS one, 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

3 authors.

Binta Maria AleoghoGroup of Nutritional Neuroscience, Neuroscience Institute, Graduate School of Science, Nagoya University, Nagoya, Japan.ORCID https://orcid.org/0009-0003-0125-6710
Rikuou YokosawaGroup of Nutritional Neuroscience, Neuroscience Institute, Graduate School of Science, Nagoya University, Nagoya, Japan.
Kentaro NomaGroup of Nutritional Neuroscience, Neuroscience Institute, Graduate School of Science, Nagoya University, Nagoya, Japan.ORCID https://orcid.org/0000-0002-6487-8037

Funding

Enhancing and expanding the CGC Strain CollectionP40OD010440 · OD · UNIVERSITY OF MINNESOTA · PI Ann E. Rougvie · 2012 to 2026
$7.5M
NIH HHS P40 OD010440
6 · The paper itself

Abstract

Neuropeptides play essential roles as signaling molecules in the nervous system of animals. Visualization of neuropeptides in experimental settings has advanced through two main approaches: using antibody-based methods and fluorescent protein tagging. These conventional approaches have inherent drawbacks, such as poor antibody specificity and potential functional perturbations due to fusion with bulky, full-length fluorescent proteins. The split GFP system is a versatile tool with broad applications, yet it has been underutilized for neuropeptide labeling. We demonstrate the utility of the split GFP system in the in vivo visualization of two neuropeptides, INS-1 and NLP-40, released from and targeted to neuronal and non-neuronal cells and tissues in C. elegans. Released neuropeptides were successfully visualized by inserting the 16-amino acid GFP11 tag to the sequence of neuropeptides of interest and complementing it with extracellular GFP1-10 fused to a membrane anchor protein, CD4. We show that fusion with the GFP11 tag does not perturb INS-1 function. Furthermore, we explore the in vivo regulation of neuropeptide release using genetic approaches. Our findings uncover a new application of the split GFP system which offers advantages over conventional methods for labeling neuropeptides and new insights into the regulation of neuropeptide secretion.

Indexed as

Caenorhabditis elegansCaenorhabditis elegans ProteinsGreen Fluorescent ProteinsNeuropeptidesAnimalsNeuronsRecombinant Fusion ProteinsCaenorhabditis elegans ProteinsGreen Fluorescent ProteinsNeuropeptidesRecombinant Fusion Proteins

Identifiers

PMID42616709
PMCPMC13489428

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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.