Evidence map›Paper›PMID 30997692›Full record

ArticleJournal of cellular physiology2019

A feed-forward regulatory network lncPCAT1/miR-106a-5p/E2F5 regulates the osteogenic differentiation of periodontal ligament stem cells.

Bo Jia, Xiaoling Qiu, Jun Chen, Xiang Sun, Xianghuai Zheng, Jianjiang Zhao, Qin Li, Zhiping Wang

RetractedOpen access · hybridAbstract readRetracted Publication
In one paragraph

Article in Journal of cellular physiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 13% 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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 43 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Review
  6. Review
  7. Review
  8. Review
  9. Article
  10. MicroRNAs: Harbingers and shapers of periodontal inflammation.Seminars in cell & developmental biology · 2022
    Review
  11. Article
  12. Review
  13. Review
  14. Article
  15. Review
  16. The Involvement of Long Non-Coding RNAs in Bone.International journal of molecular sciences · 2021
    Review
  17. Molecular medicine reports · 2021
    Article
  18. Article
  19. Review
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 2 countries.

Bo JiaDepartment of Oral Surgery, Stomatological Hospital, Southern Medical University, Guangzhou, China.
Xiaoling QiuDepartment of Oral Surgery, Stomatological Hospital, Southern Medical University, Guangzhou, China.
Jun ChenDepartment of Oral Surgery, Stomatological Hospital, Southern Medical University, Guangzhou, China.
Xiang SunDepartment of Oral Surgery, Stomatological Hospital, Southern Medical University, Guangzhou, China.
Xianghuai ZhengDepartment of Oral Surgery, Stomatological Hospital, Southern Medical University, Guangzhou, China.
Jianjiang ZhaoDepartment of Oral Surgery, Stomatological Hospital, Southern Medical University, Guangzhou, China.
Qin LiDepartment of Plastic Surgery, Guangzhou School of Clinical Medicine, Southern Medical University (Guangzhou General Hospital of Guangzhou Military Region), Guangzhou, China.
Zhiping WangDepartment of Oral Surgery, Stomatological Hospital, Southern Medical University, Guangzhou, China.ORCID 0000-0001-7277-4361
Southern Medical University · CNZero to Three · USGeneral Hospital of Guangzhou Military Command · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Periodontal ligament stem cells (PDLSCs) are characterized by multiple differentiation potential and potent self-renewal ability, yet much remains to be elucidated that what determines these properties. Long noncoding RNAs (lncRNAs) have been suggested to involve in multiple biological process under physiological and pathological conditions, including osteogenic differentiation. In the present study, we performed comprehensive lncRNA profiling by lncRNA microarray analysis and identified prostate cancer-associated ncRNA transcript-1 (lncPCAT1) was gradually increased in PDLSCs during consecutive osteogenic induction, and it could further positively regulate the osteogenic differentiation both in vitro and in vivo, whereas lncPCAT1 inhibition led to suppressed osteogenic differentiation. Thereafter, we inferred a predicted interaction between lncPCAT1 and miR-106a-5p and then confirmed the direct binding sites of miR-106a-5p on lncPCAT1. Although miR-106a-5p upregulation led to decreased osteogenic differentiation, lncPCAT1 overexpression could reverse its suppression, indicating that lncPCAT1 act as a competing endogenous RNA for miR-106a-5p. Moreover, lncPCAT1 could sponge miR-106a-5p to upregulate miR-106a-5p-targeted gene BMP2, which was a crucial gene involved in osteogenic differentiation. Interestingly, we found that E2F5, another target of miR-106a-5p, could bind to the promoter of lncPCAT1 and then form a feed-forward regulatory network targeting BMP2. In conclusion, our study provided a novel lncRNA-miRNA feed-forward regulatory network and a promising target to modulate the osteogenic differentiation of PDLSCs.

Indexed as

Bone Morphogenetic Protein 2Cell DifferentiationCell LineE2F5 Transcription FactorGene Expression Regulation, DevelopmentalGene Regulatory NetworksHumansMesenchymal Stem CellsMicroRNAsOsteoblastsOsteogenesisPeriodontal LigamentRNA, Long NoncodingBMP2 protein, humanBone Morphogenetic Protein 2E2F5 protein, humanE2F5 Transcription Factorlong non-coding RNA PCAT1, humanMicroRNAsMIRN106 microRNA, humanRNA, Long Noncodingfeed-forwardmiR-106a-5posteogenic differentiationperiodontal ligament stem cellsprostate cancer-associated ncRNA transcript-1

Identifiers

PMID30997692
PMCPMC6767496
OpenAlexW2938876121

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.