Evidence map›Paper›PMID 41080910›Full record

ArticleStem cells international2025

Transcriptomic Profiling of Dental Tissue-Derived Mesenchymal Stem Cells.

Sema S Hakki, S Buket Bozkurt, Zehragul Ergul, Erdal Karaoz, Seyit Ali Kayis

Abstract read
In one paragraph

Article in Stem cells international, 2025. 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

5 authors.

Sema S HakkiDepartment of Periodontology, Selcuk University, Konya, Türkiye.ORCID https://orcid.org/0000-0001-8665-6235
S Buket BozkurtDepartment of Biochemistry, Nigde Omer Halisdemir University, Nigde, Türkiye.
Zehragul ErgulCenter for Stem Cell and Regenerative Medicine, Liv Hospital, Istanbul, Türkiye.
Erdal KaraozCenter for Stem Cell and Regenerative Medicine, Liv Hospital, Istanbul, Türkiye.
Seyit Ali KayisDepartment of Biostatistics, Abant İzzet Baysal University, Bolu, Türkiye.ORCID https://orcid.org/0000-0003-4791-8946

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to compare whole-genome gene expressions of periodontal ligament (PDL) and pulp (P) mesenchymal stem cells (MSCs) isolated from third molar (m), premolar (p), and deciduous (dec) teeth. Total RNAs were isolated and used for cRNA synthesis. Human Expression Hybridization Assay was used for 47,000 probes. Data were subjected to quantile normalization before analysis. Based on the differentially expressed genes, immunomodulation properties of m/p/dec-MSCs were evaluated. Lymphocytes cocultured P/pdl-MSCs were investigated for apoptosis and cell survival of phytohemagglutinin-stimulated T cells. T cells and medium supernatants were collected on Days 1 and 4 of the experiments to evaluate T-cell proliferation by WST-1 and apoptotic markers by flow cytometry. Statistical analysis demonstrated that 291 genes were differentially expressed ≥2 fold in the cells isolated from p/m/dec, and pdl/P MSCs. The most significant difference was recognized in the proenkephalin (PENK) gene (24-fold) in pPDLMSCs, epidermal growth factor-like protein 6 (EGFL6), and complement factor D (CFD) genes were differentially expressed in decPMSCs 16.9-fold and 11-fold, respectively, when compared to other MSCs. A difference in PENK mRNA expression was also confirmed by RT-PCR. Findings of the study revealed that all dental MSCs cocultured with T cells suppressed the proliferation of T cells on Day 1 when compared to T cells alone (

Indexed as

dental tissuesMSCsPENK mRNAperiodontal ligamentpulptranscriptomic analysis

Identifiers

PMID41080910
PMCPMC12510763

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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.