Evidence map›Paper›PMID 29127356›Full record

ArticleScientific reports2017

A transcriptomic study of myogenic differentiation under the overexpression of PPARγ by RNA-Seq.

Kan He, Guoying Wu, Wen-Xing Li, Daogang Guan, Wenwen Lv, Mengting Gong, Shoudong Ye, Aiping Lu

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.2field-weighted citation impact, top 43% 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

8 citing papers in PubMed, 10 citations in OpenAlex.

  1. Transcriptomic analysis of Cr(VI)-induced changes in C2C12 cells during myogenic differentiation.Journal of trace elements in medicine and biology : organ of the Society for Minerals and Trace Elements (GMS) · 2025
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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

8 authors at 4 institutions in 2 countries.

Kan HeDepartment of Biostatistics, School of Life Sciences, Anhui University, Hefei, 230601, Anhui, China. hekan_803@163.com.
Guoying WuCenter for Stem Cell and Translational Medicine, School of Life Sciences, Anhui University, Hefei, 230601, Anhui, China.
Wen-Xing LiState Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, Yunnan, China.
Daogang GuanSchool of Chinese Medicine, Hong Kong Baptist University, 7 Baptist University Road, Kowloon Tong, Hong Kong, China.
Wenwen LvHongqiao International Institute of Medicine, Shanghai Tongren Hospital/Faculty of Public Health, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200025, China.
Mengting GongCenter for Stem Cell and Translational Medicine, School of Life Sciences, Anhui University, Hefei, 230601, Anhui, China.
Shoudong YeDepartment of Biostatistics, School of Life Sciences, Anhui University, Hefei, 230601, Anhui, China.
Aiping LuSchool of Chinese Medicine, Hong Kong Baptist University, 7 Baptist University Road, Kowloon Tong, Hong Kong, China. aipinglu@hkbu.edu.hk.
Anhui University · CNHong Kong Baptist University · HKTongren Hospital · CNUniversity of Chinese Academy of Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To study the cellular and molecular function of peroxisome proliferator-activated receptor γ (PPARγ) in skeletal muscle differentiation, we have generated inducible gain-of-function to overexpress PPARγ in C2C12 myoblasts. In order to identify PPARγ targets, RNA sequencing (RNA-seq) was used to evaluate and quantify the transcriptomes and expression patterns during myogenic differentiation under the overexpression of PPARγ. The formation of myotubes and the expression of muscle-specific myogenic genes such as MyoD and MyoG may be inhibited by PPARγ overexpression. Multiple genes and pathways were significantly involved in this process, including 11 genes such as Fndc9 and Slc14a1 with fundamental change of regulation modes, 9 genes of which were validated by the data of qRT-PCR. Our studies demonstrate that PPARγ would play critical roles on myoblasts differentiation, mediating crosstalk among several pathways and transcription factors. Our data is available in the Gene Expression Omnibus (GEO) database with the accession number as GSE99399.

Indexed as

Cell DifferentiationGene Expression RegulationReverse Transcriptase Polymerase Chain ReactionSequence Analysis, RNAAnimalsCell LineDatabases, Nucleic AcidMiceMuscle Fibers, SkeletalMyoblasts, SkeletalMyoD ProteinMyogeninPPAR gammaMyoD1 myogenic differentiation proteinMyoD ProteinMyogeninMyog protein, mousePPAR gamma

Identifiers

PMID29127356
PMCPMC5681552
OpenAlexW2767661728

What OpenQuestion holds

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Registered trials

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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.