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pmid:29127356

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

Scientific reports · 2017 doi:10.1038/s41598-017-14275-2

Paper

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Experiment

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Data

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Analysis

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title
A transcriptomic study of myogenic differentiation under the overexpression of PPARγ by RNA-Seq.
doi
10.1038/s41598-017-14275-2
pmid
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Kan He
[1]
Guoying Wu
[2]
Wen-Xing Li
[3]
Daogang Guan
[4]
Wenwen Lv
[5]
Mengting Gong
[6]
Shoudong Ye
[7]
Aiping Lu
journal
Scientific reports
year
2017
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.
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DESeq. 2 was used to perform the analysis of differentially expressed genes (DEG). The cutoffs of DEG approach were chosen as the p value < = 0.05 and the Fold Change (FC) value > = 2. Our sequencing data has been submitted to the Gene Expression Omnibus (GEO) database and assigned the accession number as GSE99399.
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Our sequencing data has been submitted to the Gene Expression Omnibus (GEO) database and assigned the accession number as GSE99399.
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RNA-seq differential-expression analysis identified 3,039 dysregulated genes in PPARγ-overexpressing cells from 0d to 5d, compared with 3,164 in WT cells (FC > 2, p < 0.05), and the source data are available in GEO under accession GSE99399.
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sections[12] "Identification of differentially expressed genes related to PPARγ regulation" paragraph 2
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By calculating the differential expression and analyzing the significance of each gene between 0d and 5d, 3164 significantly dysregulated genes with FC more than 2 and p value less than 0.05, including 2132 up-regulated and 1032 down-regulated genes were identified in WT cells from 0d to 5d. In contrast, 3039 significantly dysregulated genes including 2189 up-regulated and 850 down-regulated genes were identified in PPARγ/+ cells from 0d to 5d.
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A transcriptomic study of myogenic differentiation under the overexpression of PPARγ by RNA-Seq
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Identification of differentially expressed genes related to PPARγ regulation
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DESeq. 2 was used to perform the analysis of differentially expressed genes (DEG). The cutoffs of DEG approach were chosen as the p value < = 0.05 and the Fold Change (FC) value > = 2. Our sequencing data has been submitted to the Gene Expression Omnibus (GEO) database and assigned the accession number as GSE99399.
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tiation under the overexpression of PPARγ by RNA-Seq.
[1]
r to identify PPARγ targets, RNA sequencing (RNA-seq) was used to evaluate and quantify the trans
[2]
oblasts. In order to identify PPARγ targets, RNA sequencing (RNA-seq) was used to evaluate and quantify
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and Method Cell Culture and Differentiation Mouse skeletal muscle cell line C2C12 was purchase
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DESeq. 2 was used to perform the analysis of differentially expressed genes (DEG). The cutoffs of DEG approach were chosen as the p value < = 0.05 and the Fold Change (FC) value > = 2. Our sequencing data has been submitted to the Gene Expression Omnibus (GEO) database and assigned the accession number as GSE99399.
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Complete file
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