Cargando…

Dynamics of the Transcriptome during Human Spermatogenesis: Predicting the Potential Key Genes Regulating Male Gametes Generation

Many infertile men are the victims of spermatogenesis disorder. However, conventional clinical test could not provide efficient information on the causes of spermatogenesis disorder and guide the doctor how to treat it. More effective diagnosis and treating methods could be developed if the key gene...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhu, Zijue, Li, Chong, Yang, Shi, Tian, Ruhui, Wang, Junlong, Yuan, Qingqing, Dong, Hui, He, Zuping, Wang, Shengyue, Li, Zheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4750114/
https://www.ncbi.nlm.nih.gov/pubmed/26753906
http://dx.doi.org/10.1038/srep19069
_version_ 1782415379585302528
author Zhu, Zijue
Li, Chong
Yang, Shi
Tian, Ruhui
Wang, Junlong
Yuan, Qingqing
Dong, Hui
He, Zuping
Wang, Shengyue
Li, Zheng
author_facet Zhu, Zijue
Li, Chong
Yang, Shi
Tian, Ruhui
Wang, Junlong
Yuan, Qingqing
Dong, Hui
He, Zuping
Wang, Shengyue
Li, Zheng
author_sort Zhu, Zijue
collection PubMed
description Many infertile men are the victims of spermatogenesis disorder. However, conventional clinical test could not provide efficient information on the causes of spermatogenesis disorder and guide the doctor how to treat it. More effective diagnosis and treating methods could be developed if the key genes that regulate spermatogenesis were determined. Many works have been done on animal models, while there are few works on human beings due to the limited sample resources. In current work, testis tissues were obtained from 27 patients with obstructive azoospermia via surgery. The combination of Fluorescence Activated Cell Sorting and Magnetic Activated Cell Sorting was chosen as the efficient method to sort typical germ cells during spermatogenesis. RNA Sequencing was carried out to screen the change of transcriptomic profile of the germ cells during spermatogenesis. Differential expressed genes were clustered according to their expression patterns. Gene Ontology annotation, pathway analysis, and Gene Set Enrichment Analysis were carried out on genes with specific expression patterns and the potential key genes such as HOXs, JUN, SP1, and TCF3 which were involved in the regulation of spermatogenesis, with the potential value serve as molecular tools for clinical purpose, were predicted.
format Online
Article
Text
id pubmed-4750114
institution National Center for Biotechnology Information
language English
publishDate 2016
publisher Nature Publishing Group
record_format MEDLINE/PubMed
spelling pubmed-47501142016-02-18 Dynamics of the Transcriptome during Human Spermatogenesis: Predicting the Potential Key Genes Regulating Male Gametes Generation Zhu, Zijue Li, Chong Yang, Shi Tian, Ruhui Wang, Junlong Yuan, Qingqing Dong, Hui He, Zuping Wang, Shengyue Li, Zheng Sci Rep Article Many infertile men are the victims of spermatogenesis disorder. However, conventional clinical test could not provide efficient information on the causes of spermatogenesis disorder and guide the doctor how to treat it. More effective diagnosis and treating methods could be developed if the key genes that regulate spermatogenesis were determined. Many works have been done on animal models, while there are few works on human beings due to the limited sample resources. In current work, testis tissues were obtained from 27 patients with obstructive azoospermia via surgery. The combination of Fluorescence Activated Cell Sorting and Magnetic Activated Cell Sorting was chosen as the efficient method to sort typical germ cells during spermatogenesis. RNA Sequencing was carried out to screen the change of transcriptomic profile of the germ cells during spermatogenesis. Differential expressed genes were clustered according to their expression patterns. Gene Ontology annotation, pathway analysis, and Gene Set Enrichment Analysis were carried out on genes with specific expression patterns and the potential key genes such as HOXs, JUN, SP1, and TCF3 which were involved in the regulation of spermatogenesis, with the potential value serve as molecular tools for clinical purpose, were predicted. Nature Publishing Group 2016-01-12 /pmc/articles/PMC4750114/ /pubmed/26753906 http://dx.doi.org/10.1038/srep19069 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Zhu, Zijue
Li, Chong
Yang, Shi
Tian, Ruhui
Wang, Junlong
Yuan, Qingqing
Dong, Hui
He, Zuping
Wang, Shengyue
Li, Zheng
Dynamics of the Transcriptome during Human Spermatogenesis: Predicting the Potential Key Genes Regulating Male Gametes Generation
title Dynamics of the Transcriptome during Human Spermatogenesis: Predicting the Potential Key Genes Regulating Male Gametes Generation
title_full Dynamics of the Transcriptome during Human Spermatogenesis: Predicting the Potential Key Genes Regulating Male Gametes Generation
title_fullStr Dynamics of the Transcriptome during Human Spermatogenesis: Predicting the Potential Key Genes Regulating Male Gametes Generation
title_full_unstemmed Dynamics of the Transcriptome during Human Spermatogenesis: Predicting the Potential Key Genes Regulating Male Gametes Generation
title_short Dynamics of the Transcriptome during Human Spermatogenesis: Predicting the Potential Key Genes Regulating Male Gametes Generation
title_sort dynamics of the transcriptome during human spermatogenesis: predicting the potential key genes regulating male gametes generation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4750114/
https://www.ncbi.nlm.nih.gov/pubmed/26753906
http://dx.doi.org/10.1038/srep19069
work_keys_str_mv AT zhuzijue dynamicsofthetranscriptomeduringhumanspermatogenesispredictingthepotentialkeygenesregulatingmalegametesgeneration
AT lichong dynamicsofthetranscriptomeduringhumanspermatogenesispredictingthepotentialkeygenesregulatingmalegametesgeneration
AT yangshi dynamicsofthetranscriptomeduringhumanspermatogenesispredictingthepotentialkeygenesregulatingmalegametesgeneration
AT tianruhui dynamicsofthetranscriptomeduringhumanspermatogenesispredictingthepotentialkeygenesregulatingmalegametesgeneration
AT wangjunlong dynamicsofthetranscriptomeduringhumanspermatogenesispredictingthepotentialkeygenesregulatingmalegametesgeneration
AT yuanqingqing dynamicsofthetranscriptomeduringhumanspermatogenesispredictingthepotentialkeygenesregulatingmalegametesgeneration
AT donghui dynamicsofthetranscriptomeduringhumanspermatogenesispredictingthepotentialkeygenesregulatingmalegametesgeneration
AT hezuping dynamicsofthetranscriptomeduringhumanspermatogenesispredictingthepotentialkeygenesregulatingmalegametesgeneration
AT wangshengyue dynamicsofthetranscriptomeduringhumanspermatogenesispredictingthepotentialkeygenesregulatingmalegametesgeneration
AT lizheng dynamicsofthetranscriptomeduringhumanspermatogenesispredictingthepotentialkeygenesregulatingmalegametesgeneration