Evidence map›Paper›PMID 27845386›Full record

ArticleScientific reports2016

MiR-101 Targets the EZH2/Wnt/β-Catenin the Pathway to Promote the Osteogenic Differentiation of Human Bone Marrow-Derived Mesenchymal Stem Cells.

Hongrui Wang, Yake Meng, Quanjun Cui, Fujun Qin, Haisong Yang, Yu Chen, Yajun Cheng, Jiangang Shi, Yongfei Guo

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
2.6field-weighted citation impact, top 11% 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

33 citing papers in PubMed, 50 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. The Biological Function of MicroRNAs in Bone Tumors.International journal of molecular sciences · 2022
    Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. MiR-200c-3p increased HDMEC proliferation through the notch signaling pathway.Experimental biology and medicine (Maywood, N.J.) · 2021
    Article
  14. Review
  15. Article
  16. Aging, MicroRNAs, and Heart Failure.Current problems in cardiology · 2020
    Review
  17. Article
  18. Article
  19. The Role of MicroRNAs in Bone Metabolism and Disease.International journal of molecular sciences · 2020
    Review
  20. Article
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

9 authors at 2 institutions in 2 countries.

Hongrui WangDepartmentof Orthopaedics, Changzheng Hospital, The Second Military Medical University of China, 415 Fengyang Road, Shanghai 200003, P.R. China.
Yake MengDepartmentof Orthopaedics, Changzheng Hospital, The Second Military Medical University of China, 415 Fengyang Road, Shanghai 200003, P.R. China.
Quanjun CuiDepartment of Orthopedic Surgery,University of Virginia, 400 Ray C. Hunt Drive, Charlottesville, VA 22903, USA.
Fujun QinDepartment of Pathology, University of Virginia, Charlottesville VA 22908, USA.
Haisong YangDepartmentof Orthopaedics, Changzheng Hospital, The Second Military Medical University of China, 415 Fengyang Road, Shanghai 200003, P.R. China.
Yu ChenDepartmentof Orthopaedics, Changzheng Hospital, The Second Military Medical University of China, 415 Fengyang Road, Shanghai 200003, P.R. China.
Yajun ChengDepartment of Orthopaedics,Changhai Hospital, The Second Military Medical University of China, 168 Changhai Road, Shanghai 200433, P.R. China.
Jiangang ShiDepartmentof Orthopaedics, Changzheng Hospital, The Second Military Medical University of China, 415 Fengyang Road, Shanghai 200003, P.R. China.
Yongfei GuoDepartmentof Orthopaedics, Changzheng Hospital, The Second Military Medical University of China, 415 Fengyang Road, Shanghai 200003, P.R. China.
Second Military Medical University · CNUniversity of Virginia · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mounting evidence indicates that microRNAs (miRNAs) are involved in multiple processes of osteogenic differentiation. MicroRNA-101 (miR-101), identified as a tumor suppressor, has been implicated in the pathogenesis of several types of cancer. However, the expression of miR-101 and its roles in the osteogenic differentiation of human bone marrow-derived mesenchymal stem cells (hBMSCs) remain unclear. We found that the miR-101 expression level was significantly increased during the osteogenic differentiation of hBMSCs. MiR-101 depletion suppressed osteogenic differentiation, whereas the overexpression of miR-101 was sufficient to promote this process. We further demonstrated that enhancer of zeste homolog 2 (EZH2) was a target gene of miR-101. EZH2 overexpression and depletion reversed the promoting or suppressing effect of osteogenic differentiation of hBMSCs, respectively, caused by miR-101. In addition, we showed that miR-101 overexpression promoted the expression of Wnt genes, resulting in the activation of the Wnt/β-catenin signaling pathway by targeting EZH2, while the activity of β-catenin and the Wnt/β-catenin signaling pathway was inhibited by ICG-001, a β-Catenin inhibitor, which reversed the promoting effect of miR-101. Finally, miR-101 also promotes in vivo bone formation by hBMSCs. Collectively, these data suggest that miR-101 is induced by osteogenic stimuli and promotes osteogenic differentiation at least partly by targeting the EZH2/Wnt/β-Catenin signaling pathway.

Indexed as

Cell DifferentiationOsteogenesisWnt Signaling Pathwaybeta CateninBone Marrow CellsEnhancer of Zeste Homolog 2 ProteinHumansMesenchymal Stem CellsMicroRNAsbeta CateninEnhancer of Zeste Homolog 2 ProteinEZH2 protein, humanMicroRNAsMIRN101 microRNA, human

Identifiers

PMID27845386
PMCPMC5109541
OpenAlexW2549875495

What OpenQuestion holds

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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.