Methylation profiling

Dataset Information

0

Genome-wide gene expression and DNA methylation reveals Genetic and Epigenetic differences in cloned piglets and conventionally bred normal piglets (MeDIP-Seq)


ABSTRACT: Somatic cell nuclear transfer has brought considerable chances to breed excellent breeds and protect endanger animals, while also produced numerous fail embryos and abnormal individuals due to inefficient epigenetic modification at the same time. To understand some mechanisms of abnormal piglets with phenotypes such as macroglossia, standing and walking disabilities in our study and find some differences between abnormal piglets and conventionally bred normal piglets, DNA methylation profile and genome-wide gene expression were conducted in two groups, using methylated DNA immunoprecipitation binding highthroughput sequencing (MeDIP-Seq) and RNA sequencing(RNA-Seq). We generated and provided a genome-wide DNA methylation and gene expression profile for abnormal cloned and conventionally bred piglets. We detected a total of 1493 genes differentially expressed in two groups and 382 of these genes also differentially methylated in two groups. Analysis of relationship between DNA methylation and gene expression revealed that DNA methylation levels had significantly negative and monotonic correlation with gene expression levels in particular regions of genes while no obvious monotonic correlation in other regions. Besides, we found some interesting genes and pathways such as MYH7 and mTOR signalling pathway that may played essential role in muscle growth and development. Briefly, these results provide reliable data for future epigenetic studies and may help to uncover the mechanism of failure clones via SCNT.

ORGANISM(S): Sus scrofa

PROVIDER: GSE70004 | GEO | 2016/02/26

SECONDARY ACCESSION(S): PRJNA291507

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2016-02-26 | E-GEOD-70004 | biostudies-arrayexpress
2016-02-26 | E-GEOD-70002 | biostudies-arrayexpress
2016-02-26 | GSE70002 | GEO
2014-09-03 | E-GEOD-51282 | biostudies-arrayexpress
2014-09-03 | E-GEOD-51476 | biostudies-arrayexpress
2014-09-03 | GSE51476 | GEO
2014-09-03 | GSE51282 | GEO
| PRJNA291444 | ENA
2016-09-21 | GSE69920 | GEO
| PRJNA223277 | ENA