Cargando…
Functional microarray analysis of differentially expressed genes in granulosa cells from women with polycystic ovary syndrome related to MAPK/ERK signaling
Polycystic ovary syndrome (PCOS) is the most common endocrine disorder in women of reproductive age. Although its aetiology and pathogenesis remain unclear, recent studies suggest that the dysfunction of granulosa cells may partly be responsible. This study aimed to use cDNA microarray technology to...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4602237/ https://www.ncbi.nlm.nih.gov/pubmed/26459919 http://dx.doi.org/10.1038/srep14994 |
_version_ | 1782394679795384320 |
---|---|
author | Lan, Chen-Wei Chen, Mei-Jou Tai, Kang-Yu Yu, Danny CW Yang, Yu-Chieh Jan, Pey-Shynan Yang, Yu-Shih Chen, Hsin-Fu Ho, Hong-Nerng |
author_facet | Lan, Chen-Wei Chen, Mei-Jou Tai, Kang-Yu Yu, Danny CW Yang, Yu-Chieh Jan, Pey-Shynan Yang, Yu-Shih Chen, Hsin-Fu Ho, Hong-Nerng |
author_sort | Lan, Chen-Wei |
collection | PubMed |
description | Polycystic ovary syndrome (PCOS) is the most common endocrine disorder in women of reproductive age. Although its aetiology and pathogenesis remain unclear, recent studies suggest that the dysfunction of granulosa cells may partly be responsible. This study aimed to use cDNA microarray technology to compare granulosa cell gene expression profiles in women with and without PCOS to identify genes that may be aetiologically implicated in the pathogenesis of PCOS. The study cohort included 12 women undergoing in vitro fertilization, six with PCOS and six without PCOS. Differential gene expression profiles were classified by post-analyses of microarray data, followed by western blot analyses to confirm the microarray data of selected genes. In total, 243 genes were differentially expressed (125 upregulated and 118 downregulated) between the PCOS and non-PCOS granulosa cells. These genes are involved in reproductive system development, amino acid metabolism and cellular development and proliferation. Comparative analysis revealed genes involved in the mitogen-activated protein kinase/extracellular regulated kinase (MAPK/ERK) signaling pathways. Western blot analyses confirmed that mitogen-activated protein kinase kinase kinase 4 and phospho-ERK1/2 were decreased in PCOS granulosa cells. This study identified candidate genes involved in MAPK/ERK signaling pathways that may influence the function of granulosa cells in PCOS. |
format | Online Article Text |
id | pubmed-4602237 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-46022372015-10-23 Functional microarray analysis of differentially expressed genes in granulosa cells from women with polycystic ovary syndrome related to MAPK/ERK signaling Lan, Chen-Wei Chen, Mei-Jou Tai, Kang-Yu Yu, Danny CW Yang, Yu-Chieh Jan, Pey-Shynan Yang, Yu-Shih Chen, Hsin-Fu Ho, Hong-Nerng Sci Rep Article Polycystic ovary syndrome (PCOS) is the most common endocrine disorder in women of reproductive age. Although its aetiology and pathogenesis remain unclear, recent studies suggest that the dysfunction of granulosa cells may partly be responsible. This study aimed to use cDNA microarray technology to compare granulosa cell gene expression profiles in women with and without PCOS to identify genes that may be aetiologically implicated in the pathogenesis of PCOS. The study cohort included 12 women undergoing in vitro fertilization, six with PCOS and six without PCOS. Differential gene expression profiles were classified by post-analyses of microarray data, followed by western blot analyses to confirm the microarray data of selected genes. In total, 243 genes were differentially expressed (125 upregulated and 118 downregulated) between the PCOS and non-PCOS granulosa cells. These genes are involved in reproductive system development, amino acid metabolism and cellular development and proliferation. Comparative analysis revealed genes involved in the mitogen-activated protein kinase/extracellular regulated kinase (MAPK/ERK) signaling pathways. Western blot analyses confirmed that mitogen-activated protein kinase kinase kinase 4 and phospho-ERK1/2 were decreased in PCOS granulosa cells. This study identified candidate genes involved in MAPK/ERK signaling pathways that may influence the function of granulosa cells in PCOS. Nature Publishing Group 2015-10-13 /pmc/articles/PMC4602237/ /pubmed/26459919 http://dx.doi.org/10.1038/srep14994 Text en Copyright © 2015, 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 Lan, Chen-Wei Chen, Mei-Jou Tai, Kang-Yu Yu, Danny CW Yang, Yu-Chieh Jan, Pey-Shynan Yang, Yu-Shih Chen, Hsin-Fu Ho, Hong-Nerng Functional microarray analysis of differentially expressed genes in granulosa cells from women with polycystic ovary syndrome related to MAPK/ERK signaling |
title | Functional microarray analysis of differentially expressed genes in granulosa cells from women with polycystic ovary syndrome related to MAPK/ERK signaling |
title_full | Functional microarray analysis of differentially expressed genes in granulosa cells from women with polycystic ovary syndrome related to MAPK/ERK signaling |
title_fullStr | Functional microarray analysis of differentially expressed genes in granulosa cells from women with polycystic ovary syndrome related to MAPK/ERK signaling |
title_full_unstemmed | Functional microarray analysis of differentially expressed genes in granulosa cells from women with polycystic ovary syndrome related to MAPK/ERK signaling |
title_short | Functional microarray analysis of differentially expressed genes in granulosa cells from women with polycystic ovary syndrome related to MAPK/ERK signaling |
title_sort | functional microarray analysis of differentially expressed genes in granulosa cells from women with polycystic ovary syndrome related to mapk/erk signaling |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4602237/ https://www.ncbi.nlm.nih.gov/pubmed/26459919 http://dx.doi.org/10.1038/srep14994 |
work_keys_str_mv | AT lanchenwei functionalmicroarrayanalysisofdifferentiallyexpressedgenesingranulosacellsfromwomenwithpolycysticovarysyndromerelatedtomapkerksignaling AT chenmeijou functionalmicroarrayanalysisofdifferentiallyexpressedgenesingranulosacellsfromwomenwithpolycysticovarysyndromerelatedtomapkerksignaling AT taikangyu functionalmicroarrayanalysisofdifferentiallyexpressedgenesingranulosacellsfromwomenwithpolycysticovarysyndromerelatedtomapkerksignaling AT yudannycw functionalmicroarrayanalysisofdifferentiallyexpressedgenesingranulosacellsfromwomenwithpolycysticovarysyndromerelatedtomapkerksignaling AT yangyuchieh functionalmicroarrayanalysisofdifferentiallyexpressedgenesingranulosacellsfromwomenwithpolycysticovarysyndromerelatedtomapkerksignaling AT janpeyshynan functionalmicroarrayanalysisofdifferentiallyexpressedgenesingranulosacellsfromwomenwithpolycysticovarysyndromerelatedtomapkerksignaling AT yangyushih functionalmicroarrayanalysisofdifferentiallyexpressedgenesingranulosacellsfromwomenwithpolycysticovarysyndromerelatedtomapkerksignaling AT chenhsinfu functionalmicroarrayanalysisofdifferentiallyexpressedgenesingranulosacellsfromwomenwithpolycysticovarysyndromerelatedtomapkerksignaling AT hohongnerng functionalmicroarrayanalysisofdifferentiallyexpressedgenesingranulosacellsfromwomenwithpolycysticovarysyndromerelatedtomapkerksignaling |