Differentially expressed genes in PPARγ-deficient MSCs

Yun Su, Xiaona Shen, Jie Chen, Carlos M Isales, Jing Zhao, Xing Ming Shi

Research output: Contribution to journalReview article

3 Citations (Scopus)

Abstract

Peroxisome proliferator-activated receptor gamma (PPARγ) is a key regulator of adipogenesis. It is also a central player in energy metabolism, inflammation and immunity. As an important nuclear transcription factor, PPARγ can regulate the expression and function of genes or biological processes directly or indirectly via association with other factors and thus modulate their activities. To better understand the impact of PPARγ on the global gene expression profile, we evaluated the bioinformatic data, which revealed the changes that occurred in genes and their pathways in the absence of PPARγ. In brief, we performed RNA deep sequencing (RNA-Seq) analysis using RNA samples isolated from multipotent mesenchymal stromal cells (MSCs) of PPARγ knockout and wild type control mice. The RNA-Seq data sets were then subjected to bioinformatic analyses from various angles to better reveal the breadth of PPARγ function in different biological processes. Our results reveal novel genes and networks modulated by PPARγ and provides new insights into our understanding of the physiologic and pathophysiologic role this nuclear receptor plays in health and disease.

Original languageEnglish (US)
Pages (from-to)97-104
Number of pages8
JournalMolecular and Cellular Endocrinology
Volume471
DOIs
StatePublished - Aug 15 2018

Fingerprint

PPAR gamma
Mesenchymal Stromal Cells
Genes
RNA Sequence Analysis
Biological Phenomena
High-Throughput Nucleotide Sequencing
RNA
Bioinformatics
Computational Biology
Adipogenesis
Gene Regulatory Networks
Cytoplasmic and Nuclear Receptors
Transcriptome
Gene expression
Energy Metabolism
Immunity
Transcription Factors
Health
Inflammation
Gene Expression

Keywords

  • Adipocyte
  • Bone marrow
  • Differential expression
  • Inflammation
  • MSC
  • PPARγ
  • RNA-Seq

ASJC Scopus subject areas

  • Biochemistry
  • Molecular Biology
  • Endocrinology

Cite this

Differentially expressed genes in PPARγ-deficient MSCs. / Su, Yun; Shen, Xiaona; Chen, Jie; Isales, Carlos M; Zhao, Jing; Shi, Xing Ming.

In: Molecular and Cellular Endocrinology, Vol. 471, 15.08.2018, p. 97-104.

Research output: Contribution to journalReview article

Su, Yun ; Shen, Xiaona ; Chen, Jie ; Isales, Carlos M ; Zhao, Jing ; Shi, Xing Ming. / Differentially expressed genes in PPARγ-deficient MSCs. In: Molecular and Cellular Endocrinology. 2018 ; Vol. 471. pp. 97-104.
@article{df2842f337794c0499c1c8cd005c0d2f,
title = "Differentially expressed genes in PPARγ-deficient MSCs",
abstract = "Peroxisome proliferator-activated receptor gamma (PPARγ) is a key regulator of adipogenesis. It is also a central player in energy metabolism, inflammation and immunity. As an important nuclear transcription factor, PPARγ can regulate the expression and function of genes or biological processes directly or indirectly via association with other factors and thus modulate their activities. To better understand the impact of PPARγ on the global gene expression profile, we evaluated the bioinformatic data, which revealed the changes that occurred in genes and their pathways in the absence of PPARγ. In brief, we performed RNA deep sequencing (RNA-Seq) analysis using RNA samples isolated from multipotent mesenchymal stromal cells (MSCs) of PPARγ knockout and wild type control mice. The RNA-Seq data sets were then subjected to bioinformatic analyses from various angles to better reveal the breadth of PPARγ function in different biological processes. Our results reveal novel genes and networks modulated by PPARγ and provides new insights into our understanding of the physiologic and pathophysiologic role this nuclear receptor plays in health and disease.",
keywords = "Adipocyte, Bone marrow, Differential expression, Inflammation, MSC, PPARγ, RNA-Seq",
author = "Yun Su and Xiaona Shen and Jie Chen and Isales, {Carlos M} and Jing Zhao and Shi, {Xing Ming}",
year = "2018",
month = "8",
day = "15",
doi = "10.1016/j.mce.2017.07.037",
language = "English (US)",
volume = "471",
pages = "97--104",
journal = "Molecular and Cellular Endocrinology",
issn = "0303-7207",
publisher = "Elsevier Ireland Ltd",

}

TY - JOUR

T1 - Differentially expressed genes in PPARγ-deficient MSCs

AU - Su, Yun

AU - Shen, Xiaona

AU - Chen, Jie

AU - Isales, Carlos M

AU - Zhao, Jing

AU - Shi, Xing Ming

PY - 2018/8/15

Y1 - 2018/8/15

N2 - Peroxisome proliferator-activated receptor gamma (PPARγ) is a key regulator of adipogenesis. It is also a central player in energy metabolism, inflammation and immunity. As an important nuclear transcription factor, PPARγ can regulate the expression and function of genes or biological processes directly or indirectly via association with other factors and thus modulate their activities. To better understand the impact of PPARγ on the global gene expression profile, we evaluated the bioinformatic data, which revealed the changes that occurred in genes and their pathways in the absence of PPARγ. In brief, we performed RNA deep sequencing (RNA-Seq) analysis using RNA samples isolated from multipotent mesenchymal stromal cells (MSCs) of PPARγ knockout and wild type control mice. The RNA-Seq data sets were then subjected to bioinformatic analyses from various angles to better reveal the breadth of PPARγ function in different biological processes. Our results reveal novel genes and networks modulated by PPARγ and provides new insights into our understanding of the physiologic and pathophysiologic role this nuclear receptor plays in health and disease.

AB - Peroxisome proliferator-activated receptor gamma (PPARγ) is a key regulator of adipogenesis. It is also a central player in energy metabolism, inflammation and immunity. As an important nuclear transcription factor, PPARγ can regulate the expression and function of genes or biological processes directly or indirectly via association with other factors and thus modulate their activities. To better understand the impact of PPARγ on the global gene expression profile, we evaluated the bioinformatic data, which revealed the changes that occurred in genes and their pathways in the absence of PPARγ. In brief, we performed RNA deep sequencing (RNA-Seq) analysis using RNA samples isolated from multipotent mesenchymal stromal cells (MSCs) of PPARγ knockout and wild type control mice. The RNA-Seq data sets were then subjected to bioinformatic analyses from various angles to better reveal the breadth of PPARγ function in different biological processes. Our results reveal novel genes and networks modulated by PPARγ and provides new insights into our understanding of the physiologic and pathophysiologic role this nuclear receptor plays in health and disease.

KW - Adipocyte

KW - Bone marrow

KW - Differential expression

KW - Inflammation

KW - MSC

KW - PPARγ

KW - RNA-Seq

UR - http://www.scopus.com/inward/record.url?scp=85028082364&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85028082364&partnerID=8YFLogxK

U2 - 10.1016/j.mce.2017.07.037

DO - 10.1016/j.mce.2017.07.037

M3 - Review article

C2 - 28774780

AN - SCOPUS:85028082364

VL - 471

SP - 97

EP - 104

JO - Molecular and Cellular Endocrinology

JF - Molecular and Cellular Endocrinology

SN - 0303-7207

ER -