Evidence map›Paper›PMID 37275879›Full record

ArticleFrontiers in immunology2023

A single-cell RNA sequencing atlas of circulating leukocytes from healthy and osteosarcoma affected dogs.

Dylan T Ammons, R Adam Harris, Leone S Hopkins, Jade Kurihara, Kristen Weishaar, Steven Dow

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
6.9field-weighted citation impact, top 2% of its field
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

36 citing papers in PubMed, 45 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Osteoimmunology in bone malignancies: a symphony with evil.Journal of the National Cancer Center · 2024
    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

6 authors at 1 institution in 1 country.

Dylan T AmmonsDepartment of Microbiology, Immunology and Pathology, Colorado State University, Fort Collins, CO, United States.
R Adam HarrisDepartment of Microbiology, Immunology and Pathology, Colorado State University, Fort Collins, CO, United States.
Leone S HopkinsFlint Animal Cancer Center, Department of Clinical Sciences, Colorado State University, Fort Collins, CO, United States.
Jade KuriharaFlint Animal Cancer Center, Department of Clinical Sciences, Colorado State University, Fort Collins, CO, United States.
Kristen WeishaarFlint Animal Cancer Center, Department of Clinical Sciences, Colorado State University, Fort Collins, CO, United States.
Steven DowDepartment of Microbiology, Immunology and Pathology, Colorado State University, Fort Collins, CO, United States.
Colorado State University · US

Funding

Biomedical Research Training for VeterinariansT32OD010437 · OD · COLORADO STATE UNIVERSITY · PI Gregg A Dean, KELLY S SANTANGELO · 2012 to 2026
$6.2M
Veterinary Pre-Doctoral Research Scholars ProgramT32OD012201 · OD · COLORADO STATE UNIVERSITY · PI VANDEWOUDE, SUE · 2013 to 2019
$795k
NIH HHS T32 OD010437NIH HHS T32 OD012201
6 · The paper itself

Abstract

Translationally relevant animal models are essential for the successful translation of basic science findings into clinical medicine. While rodent models are widely accessible, there are numerous limitations that prevent the extrapolation of findings to human medicine. One approach to overcome these limitations is to use animal models that are genetically diverse and naturally develop disease. For example, pet dogs spontaneously develop diseases that recapitulate the natural progression seen in humans and live in similar environments alongside humans. Thus, dogs represent a useful animal model for many areas of research. Despite the value of the canine model, species specific reagent limitations have hampered in depth characterization of canine immune cells, which constrains the conclusions that can be drawn from canine immunotherapy studies. To address this need, we used single-cell RNA sequencing to characterize the heterogeneity of circulating leukocytes in healthy dogs (n = 7) and osteosarcoma (OS) affected dogs (n = 10). We present a cellular atlas of leukocytes in healthy dogs, then employ the dataset to investigate the impact of primary OS tumors on the transcriptome of circulating leukocytes. We identified 36 unique cell populations amongst dog circulating leukocytes, with a remarkable amount of heterogeneity in CD4 T cell subtypes. In our comparison of healthy dogs and dogs with OS, we identified relative increases in the abundances of polymorphonuclear (PMN-) and monocytic (M-) myeloid-derived suppressor cells (MDSCs), as well as aberrations in gene expression within myeloid cells. Overall, this study provides a detailed atlas of canine leukocytes and investigates how the presence of osteosarcoma alters the transcriptional profiles of circulating immune cells.

Indexed as

Bone NeoplasmsLeukocytesOsteosarcomaSingle-Cell AnalysisAnimalsDogsFemaleMaleSequence Analysis, RNATranscriptomecancercanine (dog)immunologyMDSC (myeloid-derived suppressor cell)osteosarcomaPBMC (peripheral blood mononuclear cells)single cell RNA seqtranscriptomics

Identifiers

PMID37275879
PMCPMC10235626
OpenAlexW4377097722

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.