Evidence map›Paper›PMID 33446089›Full record

ArticleJournal of veterinary diagnostic investigation : official publication of the American Association of Veterinary Laboratory Diagnosticians, Inc2021

Novel application of single-cell next-generation sequencing for determination of intratumoral heterogeneity of canine osteosarcoma cell lines.

Jordan Ayers, Rowan J Milner, Galaxia Cortés-Hinojosa, Alberto Riva, Sandra Bechtel, Bikash Sahay, Matthew Cascio, Amandine Lejeune, Keijiro Shiomitsu, Carlos Souza and 2 more

Open access · hybridAbstract readValidation Study
In one paragraph

Article in Journal of veterinary diagnostic investigation : official publication of the American Association of Veterinary Laboratory Diagnosticians, Inc, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

14 citing papers in PubMed, 22 citations in OpenAlex.

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  6. Review of Molecular Technologies for Investigating Canine Cancer.Animals : an open access journal from MDPI · 2024
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  13. Special issue on applied next-generation sequencing in veterinary diagnostic laboratories.Journal of veterinary diagnostic investigation : official publication of the American Association of Veterinary Laboratory Diagnosticians, Inc · 2021
    Article
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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

12 authors at 1 institution in 1 country.

Jordan AyersDepartments of Small Animal Clinical Sciences, College of Veterinary Medicine.
Rowan J MilnerDepartments of Small Animal Clinical Sciences, College of Veterinary Medicine.ORCID https://orcid.org/0000-0001-6379-2058
Galaxia Cortés-HinojosaDepartments of Small Animal Clinical Sciences, College of Veterinary Medicine.ORCID https://orcid.org/0000-0002-6160-9093
Alberto RivaICBR Bioinformatics Core, University of Florida, Gainesville, FL.
Sandra BechtelDepartments of Small Animal Clinical Sciences, College of Veterinary Medicine.ORCID https://orcid.org/0000-0002-7773-5959
Bikash SahayInfectious Diseases and Immunology, College of Veterinary Medicine.
Matthew CascioPediatric Hematology-Oncology, Department of Pediatrics, College of Medicine.
Amandine LejeuneDepartments of Small Animal Clinical Sciences, College of Veterinary Medicine.
Keijiro ShiomitsuDepartments of Small Animal Clinical Sciences, College of Veterinary Medicine.
Carlos SouzaDepartments of Small Animal Clinical Sciences, College of Veterinary Medicine.
Oscar HernandezDepartments of Small Animal Clinical Sciences, College of Veterinary Medicine.
Marc SaluteDepartments of Small Animal Clinical Sciences, College of Veterinary Medicine.
University of Florida · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Osteosarcoma (OSA) is a highly aggressive and metastatic neoplasm of both the canine and human patient and is the leading form of osseous neoplasia in both species worldwide. To gain deeper insight into the heterogeneous and genetically chaotic nature of OSA, we applied single-cell transcriptome (scRNA-seq) analysis to 4 canine OSA cell lines. This novel application of scRNA-seq technology to the canine genome required uploading the CanFam3.1 reference genome into an analysis pipeline (10X Genomics Cell Ranger); this methodology has not been reported previously in the canine species, to our knowledge. The scRNA-seq outputs were validated by comparing them to cDNA expression from reverse-transcription PCR (RT-PCR) and Sanger sequencing bulk analysis of 4 canine OSA cell lines (COS31, DOUG, POS, and HMPOS) for 11 genes implicated in the pathogenesis of canine OSA. The scRNA-seq outputs revealed the significant heterogeneity of gene transcription expression patterns within the cell lines investigated (COS31 and DOUG). The scRNA-seq data showed 10 distinct clusters of similarly shared transcriptomic expression patterns in COS31; 12 clusters were identified in DOUG. In addition, cRNA-seq analysis provided data for integration into the Qiagen Ingenuity Pathway Analysis software for canonical pathway analysis. Of the 81 distinct pathways identified within the clusters, 33 had been implicated in the pathogenesis of OSA, of which 18 had not been reported previously in canine OSA.

Indexed as

AnimalsBone NeoplasmsCell Line, TumorDog DiseasesDogsHigh-Throughput Nucleotide SequencingMaleOsteosarcomaSingle-Cell Analysiscanineneoplasiaosteosarcomasingle-cell transcriptomicstumor heterogeneity

Identifiers

PMID33446089
PMCPMC7944434
OpenAlexW3118263931

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.