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Systemic analysis of gene expression profiles in porcine granulosa cells during aging

Current studies have revealed that aging is a negative factor that suppresses granulosa cell functions and causes low fertility in women. However, the difference in gene expression between normal and aging granulosa cells remains undefined. Therefore, the aim of this study was to investigate the gen...

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Autores principales: Hui, Li, Shuangshuang, Guo, Jianning, Yu, Zhendan, Shi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5722506/
https://www.ncbi.nlm.nih.gov/pubmed/29228554
http://dx.doi.org/10.18632/oncotarget.21731
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author Hui, Li
Shuangshuang, Guo
Jianning, Yu
Zhendan, Shi
author_facet Hui, Li
Shuangshuang, Guo
Jianning, Yu
Zhendan, Shi
author_sort Hui, Li
collection PubMed
description Current studies have revealed that aging is a negative factor that suppresses granulosa cell functions and causes low fertility in women. However, the difference in gene expression between normal and aging granulosa cells remains undefined. Therefore, the aim of this study was to investigate the gene expression profiles of granulosa cells during aging. Granulosa cells from young healthy porcine ovaries were aged in vitro by prolonging the culture time (for 48h). First, the extracellular ultrastructure was observed by scanning electron microscopy followed by RNA-seq and KEGG pathway analysis. The results showed that the extracellular ultrastructure was significantly altered by aging; cell membranes were rough, and cavitations were found. Moreover, the formations of filopodia were greatly reduced. RNA-seq data revealed that 3411 genes were differentially expressed during aging, of which 2193 genes were up-regulated and 1218 genes were down-regulated. KEGG pathway analysis revealed that 25 pathways including pathway in cancer, PI3K-Akt signaling pathway, focal adhesion, proteoglycans in cancer, and cAMP signaling pathway were the most changed. Moreover, several high differentially expressed genes (CEBPB, CXCL12, ANGPT2, IGFBP3, and BBOX1) were identified in aging granulosa cells, The expressions of these genes and genes associated with extracellular matrix remodeling associated genes (TIMP3, MMP2, MMP3, and CTGF), energy metabolism associated genes (SLC2A1, PPARγ) and steroidogenesis associated genes (StAR, CYP11A1 and LHCGR) were confirmed by quantitative PCR. This study identifies the differently changed pathways and their related genes, contributes to the understanding of aging in granulosa cells, and provides an important foundation for further studies.
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spelling pubmed-57225062017-12-10 Systemic analysis of gene expression profiles in porcine granulosa cells during aging Hui, Li Shuangshuang, Guo Jianning, Yu Zhendan, Shi Oncotarget Research Paper: Gerotarget (Focus on Aging) Current studies have revealed that aging is a negative factor that suppresses granulosa cell functions and causes low fertility in women. However, the difference in gene expression between normal and aging granulosa cells remains undefined. Therefore, the aim of this study was to investigate the gene expression profiles of granulosa cells during aging. Granulosa cells from young healthy porcine ovaries were aged in vitro by prolonging the culture time (for 48h). First, the extracellular ultrastructure was observed by scanning electron microscopy followed by RNA-seq and KEGG pathway analysis. The results showed that the extracellular ultrastructure was significantly altered by aging; cell membranes were rough, and cavitations were found. Moreover, the formations of filopodia were greatly reduced. RNA-seq data revealed that 3411 genes were differentially expressed during aging, of which 2193 genes were up-regulated and 1218 genes were down-regulated. KEGG pathway analysis revealed that 25 pathways including pathway in cancer, PI3K-Akt signaling pathway, focal adhesion, proteoglycans in cancer, and cAMP signaling pathway were the most changed. Moreover, several high differentially expressed genes (CEBPB, CXCL12, ANGPT2, IGFBP3, and BBOX1) were identified in aging granulosa cells, The expressions of these genes and genes associated with extracellular matrix remodeling associated genes (TIMP3, MMP2, MMP3, and CTGF), energy metabolism associated genes (SLC2A1, PPARγ) and steroidogenesis associated genes (StAR, CYP11A1 and LHCGR) were confirmed by quantitative PCR. This study identifies the differently changed pathways and their related genes, contributes to the understanding of aging in granulosa cells, and provides an important foundation for further studies. Impact Journals LLC 2017-10-10 /pmc/articles/PMC5722506/ /pubmed/29228554 http://dx.doi.org/10.18632/oncotarget.21731 Text en Copyright: © 2017 Hui et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) 3.0 (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper: Gerotarget (Focus on Aging)
Hui, Li
Shuangshuang, Guo
Jianning, Yu
Zhendan, Shi
Systemic analysis of gene expression profiles in porcine granulosa cells during aging
title Systemic analysis of gene expression profiles in porcine granulosa cells during aging
title_full Systemic analysis of gene expression profiles in porcine granulosa cells during aging
title_fullStr Systemic analysis of gene expression profiles in porcine granulosa cells during aging
title_full_unstemmed Systemic analysis of gene expression profiles in porcine granulosa cells during aging
title_short Systemic analysis of gene expression profiles in porcine granulosa cells during aging
title_sort systemic analysis of gene expression profiles in porcine granulosa cells during aging
topic Research Paper: Gerotarget (Focus on Aging)
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5722506/
https://www.ncbi.nlm.nih.gov/pubmed/29228554
http://dx.doi.org/10.18632/oncotarget.21731
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