ArticleBMC molecular and cell biology2019
Short telomeres correlate with a strong induction of cellular senescence in human dental follicle cells.
Article in BMC molecular and cell biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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.
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.
Who cites it
7 citing papers in PubMed, 22 citations in OpenAlex.
- Regulation of self-renewal and senescence in primitive mesenchymal stem cells by Wnt and TGFβ signaling.Stem cell research & therapy · 2023Article
- Investigation of the expression level of long non-coding RNAs in dental follicles of impacted mandibular third molars.Clinical oral investigations · 2022Article
- Comparative characterization and analysis of telomere length in stem cells derived from deciduous and permanent teeth.Dental research journal · 2022Article
- Agarose-based spheroid culture enhanced stemness and promoted odontogenic differentiation potential of human dental follicle cells in vitro.In vitro cellular & developmental biology. Animal · 2021Article
- Effects of Cellular Senescence on Dental Follicle Cells.Pharmacology · 2021Review
- High endogenous expression of parathyroid hormone-related protein (PTHrP) supports osteogenic differentiation in human dental follicle cells.Histochemistry and cell biology · 2020Article
- Dental Follicle Cells: Roles in Development and Beyond.Stem cells international · 2019Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDental follicle cells (DFCs) are dental stem cells and interesting options for regenerative therapies in dentistry. However, DFCs acquire replicative senescence in long-term cultures, but little is known about molecular processes. In previous studies, we observed that DFC cell lines become senescent at different rates. We hypothesized that short telomere length and increased DNA damage with genomic instability correlate with the accelerated induction of cellular senescence.
resultsFor this study we compared DFC cell lines that became senescent at different rates (DFC_F: strong senescent phenotype; DFC_S: weak senescent phenotype). The telomeres of DFC_F were shorter than those of the telomeres of DFC_S prior senescence. Interestingly, telomere lengths of both cell lines were nearly unchanged after induction of senescence. Gene expression analyses with genes associated with DNA damage before and after the induction of cellular senescence revealed that almost all genes in DFCs_F were down-regulated while the gene expression in DFC_S was almost constitutive. Moreover, number of aneuploid DFC_F were significantly higher after induction of cellular senescence.
conclusionOur results supported our initial hypothesis that telomere length and genomic instability correlate with the accelerated induction of cellular senescence in DFC_F.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.