The computational analysis of human testis transcriptome reveals closer ties to pluripotency.

ABSTRACT:

Aims

The purpose of this study was to identify the differentially expressed genes (DEG) in human testis and also evaluate the relationship between human testis, human Embryonic Stem Cells (hESC), mouse testis and mouse ESCs (mESC).

Settings and design

It is a prospective analysis designed computationally.

Methods and material

The microarray data for human testis, hESCs, mouse testis and mESCs were obtained from NCBI-GEO and analyzed for identification of DEGs. The results were then compared with mouse testis and extended to ESCs.

Statistical analysis used

Data was analyzed in R using various Bioconductor packages. To identify DEGs, 2-fold cut-off and a False Discovery Rate (FDR) below 0.01 criterions was used.

Results

A total 2868 transcripts (DEGs) were

SUBMITTER: Anand M 

PROVIDER: S-EPMC3604834 | biostudies-literature | 2012 Sep

REPOSITORIES: biostudies-literature