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

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 computat...

Full description

Bibliographic Details
Main Authors: M T Anand, Burra VLS Prasad
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2012-01-01
Series:Journal of Human Reproductive Sciences
Subjects:
ESC
Online Access:http://www.jhrsonline.org/article.asp?issn=0974-1208;year=2012;volume=5;issue=3;spage=266;epage=273;aulast=Anand
id doaj-342ed2b6d0aa4bf5ab4230275aaa5058
record_format Article
spelling doaj-342ed2b6d0aa4bf5ab4230275aaa50582020-11-25T00:07:10ZengWolters Kluwer Medknow PublicationsJournal of Human Reproductive Sciences0974-12081998-47662012-01-015326627310.4103/0974-1208.106339The computational analysis of human testis transcriptome reveals closer ties to pluripotencyM T AnandBurra VLS PrasadAims: 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 found to be significantly up-regulated and 2011 transcripts significantly down-regulated in human testis compared to other normal tissues. Of the up-regulated transcripts, 232 transcripts were grouped as unclassified i.e. had unknown annotations at the time of analysis. Gene Ontology (GO) based functional annotation of testis specific DEGs indicate that most of the DEGs (~80%) are involved in various metabolic processes. Pathway analysis shows over-representation of Ubiquitin-mediated proteolysis pathway. A core group of 67 transcripts were found to be common among human testis, mouse testis, hESCs and mESCs. Conclusions: Testis seems to be metabolically very active relative to other normal tissues as indicated by functional annotation. The comparison of human and mouse testis shows conserved functions and pathways involved in both species. Large numbers of genes were found conserved between testis and ESCs suggesting very close expression level relationship between reproductive organs and complex phenomenon such as dedifferentiation and reprogramming.http://www.jhrsonline.org/article.asp?issn=0974-1208;year=2012;volume=5;issue=3;spage=266;epage=273;aulast=AnandESCmicroarraypluripotencyspermatogenesistestis
collection DOAJ
language English
format Article
sources DOAJ
author M T Anand
Burra VLS Prasad
spellingShingle M T Anand
Burra VLS Prasad
The computational analysis of human testis transcriptome reveals closer ties to pluripotency
Journal of Human Reproductive Sciences
ESC
microarray
pluripotency
spermatogenesis
testis
author_facet M T Anand
Burra VLS Prasad
author_sort M T Anand
title The computational analysis of human testis transcriptome reveals closer ties to pluripotency
title_short The computational analysis of human testis transcriptome reveals closer ties to pluripotency
title_full The computational analysis of human testis transcriptome reveals closer ties to pluripotency
title_fullStr The computational analysis of human testis transcriptome reveals closer ties to pluripotency
title_full_unstemmed The computational analysis of human testis transcriptome reveals closer ties to pluripotency
title_sort computational analysis of human testis transcriptome reveals closer ties to pluripotency
publisher Wolters Kluwer Medknow Publications
series Journal of Human Reproductive Sciences
issn 0974-1208
1998-4766
publishDate 2012-01-01
description 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 found to be significantly up-regulated and 2011 transcripts significantly down-regulated in human testis compared to other normal tissues. Of the up-regulated transcripts, 232 transcripts were grouped as unclassified i.e. had unknown annotations at the time of analysis. Gene Ontology (GO) based functional annotation of testis specific DEGs indicate that most of the DEGs (~80%) are involved in various metabolic processes. Pathway analysis shows over-representation of Ubiquitin-mediated proteolysis pathway. A core group of 67 transcripts were found to be common among human testis, mouse testis, hESCs and mESCs. Conclusions: Testis seems to be metabolically very active relative to other normal tissues as indicated by functional annotation. The comparison of human and mouse testis shows conserved functions and pathways involved in both species. Large numbers of genes were found conserved between testis and ESCs suggesting very close expression level relationship between reproductive organs and complex phenomenon such as dedifferentiation and reprogramming.
topic ESC
microarray
pluripotency
spermatogenesis
testis
url http://www.jhrsonline.org/article.asp?issn=0974-1208;year=2012;volume=5;issue=3;spage=266;epage=273;aulast=Anand
work_keys_str_mv AT mtanand thecomputationalanalysisofhumantestistranscriptomerevealsclosertiestopluripotency
AT burravlsprasad thecomputationalanalysisofhumantestistranscriptomerevealsclosertiestopluripotency
AT mtanand computationalanalysisofhumantestistranscriptomerevealsclosertiestopluripotency
AT burravlsprasad computationalanalysisofhumantestistranscriptomerevealsclosertiestopluripotency
_version_ 1725419756645777408