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Identification of hub genes associated with spermatogenesis by bioinformatics analysis

Spermatogenesis is a complex process related to male infertility. Till now, the critical genes and specific mechanisms have not been elucidated clearly. Our objective was to determine the hub genes that play a crucial role in spermatogenesis by analyzing the differentially expressed genes (DEGs) pre...

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Autores principales: Liu, Shuang, Bian, Yan-chao, Wang, Wan-lun, Liu, Tong-Jia, Zhang, Ting, Chang, Yue, Xiao, Rui, Zhang, Chuan-ling
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10611713/
https://www.ncbi.nlm.nih.gov/pubmed/37891374
http://dx.doi.org/10.1038/s41598-023-45620-3
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author Liu, Shuang
Bian, Yan-chao
Wang, Wan-lun
Liu, Tong-Jia
Zhang, Ting
Chang, Yue
Xiao, Rui
Zhang, Chuan-ling
author_facet Liu, Shuang
Bian, Yan-chao
Wang, Wan-lun
Liu, Tong-Jia
Zhang, Ting
Chang, Yue
Xiao, Rui
Zhang, Chuan-ling
author_sort Liu, Shuang
collection PubMed
description Spermatogenesis is a complex process related to male infertility. Till now, the critical genes and specific mechanisms have not been elucidated clearly. Our objective was to determine the hub genes that play a crucial role in spermatogenesis by analyzing the differentially expressed genes (DEGs) present in non-obstructive azoospermia (NOA) compared to OA and normal samples using bioinformatics analysis. Four datasets, namely GSE45885, GSE45887, GSE9210 and GSE145467 were used. Functional enrichment analyses were performed on the DEGs. Hub genes were identified based on protein–protein interactions between DEGs. The expression of the hub genes was further examined in the testicular germ cell tumors from the TCGA by the GEPIA and validated by qRT-PCR in the testes of lipopolysaccharide-induced acute orchitis mice with impaired spermatogenesis. A total of 203 DEGs including 34 up-regulated and 169 down-regulated were identified. Functional enrichment analysis showed DEGs were mainly involved in microtubule motility, the process of cell growth and protein transport. PRM2, TEKT2, FSCN3, UBQLN3, SPATS1 and GTSF1L were identified and validated as hub genes for spermatogenesis. Three of them (PRM2, FSCN3 and TEKT2) were significantly down-regulated in the testicular germ cell tumors and their methylation levels were associated with the pathogenesis. In summary, the hub genes identified may be related to spermatogenesis and may act as potential therapeutic targets for NOA and testicular germ cell tumors.
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spelling pubmed-106117132023-10-29 Identification of hub genes associated with spermatogenesis by bioinformatics analysis Liu, Shuang Bian, Yan-chao Wang, Wan-lun Liu, Tong-Jia Zhang, Ting Chang, Yue Xiao, Rui Zhang, Chuan-ling Sci Rep Article Spermatogenesis is a complex process related to male infertility. Till now, the critical genes and specific mechanisms have not been elucidated clearly. Our objective was to determine the hub genes that play a crucial role in spermatogenesis by analyzing the differentially expressed genes (DEGs) present in non-obstructive azoospermia (NOA) compared to OA and normal samples using bioinformatics analysis. Four datasets, namely GSE45885, GSE45887, GSE9210 and GSE145467 were used. Functional enrichment analyses were performed on the DEGs. Hub genes were identified based on protein–protein interactions between DEGs. The expression of the hub genes was further examined in the testicular germ cell tumors from the TCGA by the GEPIA and validated by qRT-PCR in the testes of lipopolysaccharide-induced acute orchitis mice with impaired spermatogenesis. A total of 203 DEGs including 34 up-regulated and 169 down-regulated were identified. Functional enrichment analysis showed DEGs were mainly involved in microtubule motility, the process of cell growth and protein transport. PRM2, TEKT2, FSCN3, UBQLN3, SPATS1 and GTSF1L were identified and validated as hub genes for spermatogenesis. Three of them (PRM2, FSCN3 and TEKT2) were significantly down-regulated in the testicular germ cell tumors and their methylation levels were associated with the pathogenesis. In summary, the hub genes identified may be related to spermatogenesis and may act as potential therapeutic targets for NOA and testicular germ cell tumors. Nature Publishing Group UK 2023-10-27 /pmc/articles/PMC10611713/ /pubmed/37891374 http://dx.doi.org/10.1038/s41598-023-45620-3 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Liu, Shuang
Bian, Yan-chao
Wang, Wan-lun
Liu, Tong-Jia
Zhang, Ting
Chang, Yue
Xiao, Rui
Zhang, Chuan-ling
Identification of hub genes associated with spermatogenesis by bioinformatics analysis
title Identification of hub genes associated with spermatogenesis by bioinformatics analysis
title_full Identification of hub genes associated with spermatogenesis by bioinformatics analysis
title_fullStr Identification of hub genes associated with spermatogenesis by bioinformatics analysis
title_full_unstemmed Identification of hub genes associated with spermatogenesis by bioinformatics analysis
title_short Identification of hub genes associated with spermatogenesis by bioinformatics analysis
title_sort identification of hub genes associated with spermatogenesis by bioinformatics analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10611713/
https://www.ncbi.nlm.nih.gov/pubmed/37891374
http://dx.doi.org/10.1038/s41598-023-45620-3
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