Evidence map›Paper›PMID 25031884›Full record

ReviewEndocrinology and metabolism (Seoul, Korea)2014

Regulation of Adipocyte Differentiation via MicroRNAs.

You Hwa Son, Sojeong Ka, A Young Kim, Jae Bum Kim

Open access · diamondAbstract readReview
In one paragraph

Review in Endocrinology and metabolism (Seoul, Korea), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed
3.4field-weighted citation impact, top 7% 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

57 citing papers in PubMed, 102 citations in OpenAlex.

  1. Review
  2. 1α,25(OH)Nutrients · 2026
    Review
  3. Review
  4. Article
  5. Review
  6. Review
  7. Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Heat-KilledNutrients · 2022
    Article
  17. Article
  18. Article
  19. Article
  20. Lower miR-26a levels in breastmilk affect gene expression in adipose tissue of offspring.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2021
    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

4 authors at 1 institution in 1 country.

You Hwa SonSeoul National University School of Biological Sciences, Seoul National University, Seoul, Korea.
Sojeong KaInstitute of Molecular Biology and Genetics, Seoul National University, Seoul, Korea.
A Young KimInstitute of Molecular Biology and Genetics, Seoul National University, Seoul, Korea.
Jae Bum KimSeoul National University School of Biological Sciences, Seoul National University, Seoul, Korea. ; Institute of Molecular Biology and Genetics, Seoul National University, Seoul, Korea.
Seoul National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adipocyte differentiation, termed adipogenesis, is a complicated process in which pluripotent mesenchymal stem cells differentiate into mature adipocytes. The process of adipocyte differentiation is tightly regulated by a number of transcription factors, hormones and signaling pathway molecules. Recent studies have demonstrated that microRNAs, which belong to small noncoding RNA species, are also involved in adipocyte differentiation. In vivo and in vitro studies have revealed that various microRNAs affect adipogenesis by targeting several adipogenic transcription factors and key signaling molecules. In this review, we will summarize the roles of microRNAs in adipogenesis and their target genes associated with each stage of adipocyte differentiation.

Indexed as

Adipocyte differentiationMicroRNAsObesity

Identifiers

PMID25031884
PMCPMC4091493
OpenAlexW2094722560

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.