Evidence map›Paper›PMID 42208902›Full record

ArticleThe Journal of biological chemistry2026

Proximal labeling of the Golgi secretome reveals fat body-derived humoral factors in Drosophila disc regeneration.

Yutaka Yoshida, Soshiro Kashio, Masayuki Miura

Abstract read
In one paragraph

Article in The Journal of biological chemistry, 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.

Yutaka YoshidaDepartment of Genetics, Graduate School of Pharmaceutical Sciences, The University of Tokyo, Tokyo, Japan.
Soshiro KashioDepartment of Genetics, Graduate School of Pharmaceutical Sciences, The University of Tokyo, Tokyo, Japan; Ubiquitin Biology Laboratory, Graduate School of Frontier Biosciences, The University of Osaka, Osaka, Japan. Electronic address: kashio.soshiro.fbs@osaka-u.ac.jp.
Masayuki MiuraDepartment of Genetics, Graduate School of Pharmaceutical Sciences, The University of Tokyo, Tokyo, Japan; Laboratory for Cell Vigor Regulation, National Institute for Basic Biology, Okazaki, Aichi, Japan; Basic Biology Program, The Graduate University for Advanced Studies, SOKENDAI, Okazaki, Aichi, Japan. Electronic address: miura@nibb.ac.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Humoral factors act as inter-tissue mediators and regulate various organismal physiologies. Although the importance of humoral factors in tissue repair has been recently recognized, our understanding of how humoral proteins regulate tissue repair remains limited. Glycosylation is an important modification of the conventional secretory pathway, and we have demonstrated that N-glycosylation in the Golgi apparatus of the Drosophila fat body, the major secretory tissue equivalent to the mammalian liver and adipose tissue, remotely contributes to epithelial tissue repair. To identify humoral factors that contribute to repair via the Golgi apparatus, we constructed a Golgi-specific protein biotinylation system and performed hemolymph proteomics. By combining genetic analyses, we found that fat body-derived innate immune regulators and iron mediators affect tissue repair. Altogether, our Golgi-specific labeling system has the potential to identify Golgi-mediated secreted factors that regulate inter-organ communication.

Indexed as

DrosophilaDrosophila melanogasterFat BodyGolgi ApparatusRegenerationSecretomeAnimalsDrosophila ProteinsGlycosylationProteomicsDrosophila Proteinsbiotin labelingGolgiN-glycosylationproteomicssecreted protein

Identifiers

PMID42208902
PMCPMC13310645

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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.