Evidence map›Paper›PMID 41732276›Full record

ArticleiScience2026

Unveiling critical signaling pathways in the murine salivary gland and the role of midkine.

Theresa Wrynn, Jason Osinski, Satrajit Sinha, Rose-Anne Romano

Abstract read
In one paragraph

Article in iScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Theresa WrynnDepartment of Oral Biology, School of Dental Medicine, State University of New York at Buffalo, Buffalo, NY 14214, USA.
Jason OsinskiDepartment of Oral Biology, School of Dental Medicine, State University of New York at Buffalo, Buffalo, NY 14214, USA.
Satrajit SinhaDepartment of Biochemistry, Jacobs School of Medicine and Biomedical Sciences, State University of New York at Buffalo, Buffalo, NY 14203, USA.
Rose-Anne RomanoDepartment of Oral Biology, School of Dental Medicine, State University of New York at Buffalo, Buffalo, NY 14214, USA.

Funding

Regulatory mechanisms that dictate stem and differentiated cell populations of the salivary glandR01DE027660 · NIDCR · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI Rose-Anne Romano, SATRAJIT SINHA · 2019 to 2026
$3.2M
NIDCR NIH HHS R01 DE027660
6 · The paper itself

Abstract

Salivary gland (SG) development is a complex process involving coordinated signaling between epithelial and stromal cell populations. While some growth drivers and branching mechanisms are known, many intercellular communication pathways that underpin embryonic SG morphogenesis remain unidentified. We leveraged single cell RNA-sequencing datasets, from murine submandibular salivary glands at three embryonic stages to identify critical signaling networks. Using CellChat, we mapped global ligand-receptor interactions among different cell populations revealing an evolving signaling landscape during gland maturation. Our analysis highlighted both well-established and understudied pathways, including midkine (MDK) signaling. Functional experiments using embryonic SG explants demonstrated that MDK regulates branching morphogenesis via Rho-associated coiled coil containing protein kinase 1 (Rock1) signaling. Additionally, the key lineage driving transcription factor p63 was shown to act as primary mediator of the MDK/Rock1 axis. These findings uncover a comprehensive signaling code that guides SG development and offers new targets for follow-up studies into SG regeneration.

Indexed as

cell biologydevelopmental biology

Identifiers

PMID41732276
PMCPMC12925232

What OpenQuestion holds

Textmetadata
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.