↓ Skip to main content

PLOS

Transcriptome Characterization by RNA-seq Unravels the Mechanisms of Butyrate-Induced Epigenomic Regulation in Bovine Cells

Overview of attention for article published in PLOS ONE, May 2012
Altmetric Badge

Mentioned by

twitter
4 X users

Citations

dimensions_citation
44 Dimensions

Readers on

mendeley
63 Mendeley
citeulike
1 CiteULike
Title
Transcriptome Characterization by RNA-seq Unravels the Mechanisms of Butyrate-Induced Epigenomic Regulation in Bovine Cells
Published in
PLOS ONE, May 2012
DOI 10.1371/journal.pone.0036940
Pubmed ID
Authors

Sitao Wu, Robert W. Li, Weizhong Li, Cong-jun Li

Abstract

Short-chain fatty acids (SCFAs), especially butyrate, affect cell differentiation, proliferation, and motility. Butyrate also induces cell cycle arrest and apoptosis through its inhibition of histone deacetylases (HDACs). In addition, butyrate is a potent inducer of histone hyper-acetylation in cells. Therefore, this SCFA provides an excellent in vitro model for studying the epigenomic regulation of gene expression induced by histone acetylation. In this study, we analyzed the differential in vitro expression of genes induced by butyrate in bovine epithelial cells by using deep RNA-sequencing technology (RNA-seq). The number of sequences read, ranging from 57,303,693 to 78,933,744, were generated per sample. Approximately 11,408 genes were significantly impacted by butyrate, with a false discovery rate (FDR) <0.05. The predominant cellular processes affected by butyrate included cell morphological changes, cell cycle arrest, and apoptosis. Our results provided insight into the transcriptome alterations induced by butyrate, which will undoubtedly facilitate our understanding of the molecular mechanisms underlying butyrate-induced epigenomic regulation in bovine cells.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
United States 1 2%
Italy 1 2%
Ireland 1 2%
Unknown 59 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 27%
Student > Ph. D. Student 9 14%
Student > Master 7 11%
Professor 6 10%
Student > Bachelor 5 8%
Other 9 14%
Unknown 10 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 34 54%
Biochemistry, Genetics and Molecular Biology 8 13%
Medicine and Dentistry 2 3%
Nursing and Health Professions 1 2%
Unspecified 1 2%
Other 5 8%
Unknown 12 19%