Evidence map›Paper›PMID 34505967›Full record

ArticleStem cell reviews and reports2021

METTL3-Mediated lncRNA m

Yidan Song, Yihua Pan, Mengsong Wu, Wentian Sun, Liangyu Luo, Zhihe Zhao, Jun Liu

Erratum issuedAbstract read
PubMed Publisher
In one paragraph

Article in Stem cell reviews and reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
2.4field-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

27 citing papers in PubMed, 40 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. NELL-1: role and mechanisms in disease pathogenesis and development.Frontiers in cell and developmental biology · 2026
    Review
  5. Article
  6. Review
  7. Review
  8. Review
  9. Article
  10. Methyltransferase-Like 3-Mediated NJournal of cellular and molecular medicine · 2025
    Review
  11. Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. The essential roles of mGenes & diseases · 2024
    Review
  18. Article
  19. Article
  20. METTL3-Mediated LncRNAInternational journal of molecular sciences · 2023
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Yidan SongState Key Laboratory of Oral Diseases & National Clinical Research Center for Oral Diseases, Department of Orthodontics, West China Hospital of Stomatology, Sichuan University, Chengdu, 610041, Sichuan, China.
Yihua PanState Key Laboratory of Oral Diseases & National Clinical Research Center for Oral Diseases, Department of Orthodontics, West China Hospital of Stomatology, Sichuan University, Chengdu, 610041, Sichuan, China.
Mengsong WuState Key Laboratory of Oral Diseases & National Clinical Research Center for Oral Diseases, Department of Orthodontics, West China Hospital of Stomatology, Sichuan University, Chengdu, 610041, Sichuan, China.
Wentian SunState Key Laboratory of Oral Diseases & National Clinical Research Center for Oral Diseases, Department of Orthodontics, West China Hospital of Stomatology, Sichuan University, Chengdu, 610041, Sichuan, China.
Liangyu LuoState Key Laboratory of Oral Diseases & National Clinical Research Center for Oral Diseases, Department of Orthodontics, West China Hospital of Stomatology, Sichuan University, Chengdu, 610041, Sichuan, China.
Zhihe ZhaoState Key Laboratory of Oral Diseases & National Clinical Research Center for Oral Diseases, Department of Orthodontics, West China Hospital of Stomatology, Sichuan University, Chengdu, 610041, Sichuan, China.
Jun LiuState Key Laboratory of Oral Diseases & National Clinical Research Center for Oral Diseases, Department of Orthodontics, West China Hospital of Stomatology, Sichuan University, Chengdu, 610041, Sichuan, China. junliu@scu.edu.cn.ORCID http://orcid.org/0000-0001-5072-3205
Sichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study aimed to explore the regulatory mechanism of methyltransferase3 (METTL3) -mediated long non-coding RNA (lncRNA) N6-methyladenosine (m MATERIALS AND

methodsMethylated RNA immunoprecipitation sequencing (MeRIP-seq) and high- throughput sequencing for RNA (RNA-seq) were performed on hASCs. Osteogenic ability was detected by alkaline phosphatase (ALP) staining, Alizarin Red S(ARS) staining, ALP quantification and Quantitative real-time polymerase chain reaction analysis (qRT-PCR). Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis predicted the osteogenesis-related pathways enriched for the lncRNAs and identified the target lncRNAs. After overexpression and knockdown of METTL3, methylated RNA immunoprecipitation-qPCR (MeRIP-qPCR) and qRT-PCR were used to detect the levels of m

resultsIn vitro experiments showed that METTL3 can promote osteogenic differentiation and that its expression level is upregulated. KEGG pathway analysis predicted that lncRNAs with differentially upregulated methylated peaks were enriched mostly in the mitogen-activated protein kinase (MAPK) signaling pathway, in which Serine/threonine protein kinase 3 (STK3) was the predicted target gene of the lncRNA RP11-44 N12.5. The m

conclusionsThis study shows, for the first time, that METTL3 can activate the MAPK signaling pathway by regulating the m

Indexed as

Adipose TissueCalcium-Binding ProteinsRNA, Long NoncodingSerine-Threonine Kinase 3Stem CellsAdenosineCell DifferentiationHippo KinasesHumansMAP Kinase Signaling SystemMethyltransferasesOsteogenesisAdenosineCalcium-Binding ProteinsHippo KinasesMethyltransferasesMETTL3 protein, humanNELL1 protein, humanN-methyladenosineRNA, Long NoncodingSerine-Threonine Kinase 3STK3 protein, humanlncRNAm6A modificationMETTL3NEL-like 1 proteinOsteogenic differentiation

Identifiers

PMID34505967
OpenAlexW3197371762

What OpenQuestion holds

Textmetadata
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.