Evidence map›Paper›PMID 41378311›Full record

ArticleFrontiers in cell and developmental biology2025

Establishment and transcriptomic characterization of canine organoids from multiple tissues.

Christopher Zdyrski, Vojtech Gabriel, Oscar Ospina, Hannah F Nicholson, Michael Catucci, Bryan J Melvin, Hannah Wickham, Dipak Kumar Sahoo, Kimberly Dao, Leeann S Aguilar Meza and 10 more

Abstract read
In one paragraph

Article in Frontiers in cell and developmental biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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

20 authors.

Christopher Zdyrski *SMART Pharmacology, Department of Biomedical Sciences, Iowa State University, Ames, IA, United States.
Vojtech Gabriel *SMART Pharmacology, Department of Biomedical Sciences, Iowa State University, Ames, IA, United States.
Oscar OspinaDepartment of Biostatistics and Bioinformatics, Moffitt Cancer Center, Tampa, FL, United States.
Hannah F NicholsonSMART Pharmacology, Precision One Health Initiative, University of Georgia, Athens, GA, United States.
Michael CatucciSMART Pharmacology, Precision One Health Initiative, University of Georgia, Athens, GA, United States.
Bryan J MelvinSMART Pharmacology, Precision One Health Initiative, University of Georgia, Athens, GA, United States.
Hannah WickhamSMART Pharmacology, Department of Biomedical Sciences, Iowa State University, Ames, IA, United States.
Dipak Kumar SahooDepartment of Veterinary Clinical Sciences, Iowa State University, Ames, IA, United States.
Kimberly Dao3D Health Solutions Inc., Ames, IA, United States.
Leeann S Aguilar MezaSMART Pharmacology, Department of Biomedical Sciences, Iowa State University, Ames, IA, United States.
Abigail Ralston3D Health Solutions Inc., Ames, IA, United States.
Leila BedosDepartment of Veterinary Clinical Sciences, Iowa State University, Ames, IA, United States.
William BastianPharmaceutical & Biomedical Sciences, Institute of Bioinformatics, University of Georgia, Athens, GA, United States.
Sydney HonoldSMART Pharmacology, Department of Biomedical Sciences, Iowa State University, Ames, IA, United States.
Pablo PiñeyroVeterinary Diagnostic Laboratory, Iowa State University, Ames, IA, United States.
Aleksandra PawlakSMART Pharmacology, Precision One Health Initiative, University of Georgia, Athens, GA, United States.
Megan P CorbettSMART Pharmacology, Precision One Health Initiative, University of Georgia, Athens, GA, United States.
Eugene F DouglassPharmaceutical & Biomedical Sciences, Institute of Bioinformatics, University of Georgia, Athens, GA, United States.
Karin AllenspachSMART Pharmacology, Department of Biomedical Sciences, Iowa State University, Ames, IA, United States.
Jonathan P MochelSMART Pharmacology, Department of Biomedical Sciences, Iowa State University, Ames, IA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Organoids are 3-dimensional (3D) stem cell-derived cultures that offer a variety of technical advantages compared to traditional 2-dimensional (2D) cell cultures. Although murine models have proved useful in biomedical research, rodent models often fail to adequately mimic human physiology and disease progression, resulting in poor preclinical prediction of therapeutic drug efficacy and toxicity. An interesting alternative is to use the canine model in research, due to its numerous similarities to humans (shared environment, intact immune system, and development of civilization diseases). The use of canine organoids in drug testing and disease modeling has been limited by the number of models as well as the depth of characterization. Therefore, we believe these types of models can expedite drug testing and create a platform for personalized medicine. Methods: Here, we report the establishment, maintenance, and molecular characterization of six adult-stem cell-derived canine organoid cell lines including endometrium, pancreas, urinary bladder, kidney, lung, and liver from two genetically related canines (B816 and B818). Characterization of these lines was done using multiple techniques including immunohistochemistry (UPKIII, TTF-1) and bulk RNA-seq. Furthermore, scRNA-seq was utilized on a subset of the organoids to identify organoid specific transcriptomic signatures including lung, pancreas, kidney, and bladder. Results: In total, six tissues and organoid lines from each donor were characterized, allowing for a unique, multi-organ comparison between these two individuals and identification of specific cell types within the organoids. Bulk RNA-seq revealed tissue-specific transcriptomic profiles, with organoids enriched in proliferation-related genes and tissues enriched in inflammation-related genes. Principal component analysis showed organ-based clustering, while scRNA-seq identified diverse epithelial subtypes. Conclusion: These organoids begin to establish a platform for reverse translational research, reducing reliance on live animal testing. By leveraging genetically related donors, it highlights tissue-specific variations, facilitating applications in personalized medicine, disease modeling, and pharmacology to bridge veterinary and human research gaps.

Indexed as

canine (dog)endometriumlungorganoidspancreasreverse translational medicinestem cellurinary bladder

Identifiers

PMID41378311
PMCPMC12686805

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.