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Proteomic Profiling for Identification of Novel Biomarkers Differentially Expressed in Human Ovaries from Polycystic Ovary Syndrome Patients

OBJECTIVES: To identify differential protein expression pattern associated with polycystic ovary syndrome (PCOS). METHODS: Twenty women were recruited for the study, ten with PCOS as a test group and ten without PCOS as a control group. Differential in-gel electrophoresis (DIGE) analysis and mass sp...

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Autores principales: Li, Li, Zhang, Jiangyu, Deng, Qingshan, Li, Jieming, Li, Zhengfen, Xiao, Yao, Hu, Shuiwang, Li, Tiantian, Tan, Qiuxiao, Li, Xiaofang, Luo, Bingshu, Mo, Hui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5112797/
https://www.ncbi.nlm.nih.gov/pubmed/27846214
http://dx.doi.org/10.1371/journal.pone.0164538
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author Li, Li
Zhang, Jiangyu
Deng, Qingshan
Li, Jieming
Li, Zhengfen
Xiao, Yao
Hu, Shuiwang
Li, Tiantian
Tan, Qiuxiao
Li, Xiaofang
Luo, Bingshu
Mo, Hui
author_facet Li, Li
Zhang, Jiangyu
Deng, Qingshan
Li, Jieming
Li, Zhengfen
Xiao, Yao
Hu, Shuiwang
Li, Tiantian
Tan, Qiuxiao
Li, Xiaofang
Luo, Bingshu
Mo, Hui
author_sort Li, Li
collection PubMed
description OBJECTIVES: To identify differential protein expression pattern associated with polycystic ovary syndrome (PCOS). METHODS: Twenty women were recruited for the study, ten with PCOS as a test group and ten without PCOS as a control group. Differential in-gel electrophoresis (DIGE) analysis and mass spectroscopy were employed to identify proteins that were differentially expressed between the PCOS and normal ovaries. The differentially expressed proteins were further validated by western blot (WB) and immunohistochemistry (IHC). RESULTS: DIGE analysis revealed eighteen differentially expressed proteins in the PCOS ovaries of which thirteen were upregulated, and five downregulated. WB and IHC confirmed the differential expression of membrane-associated progesterone receptor component 1 (PGRMC1), retinol-binding protein 1 (RBP1), heat shock protein 90B1, calmodulin 1, annexin A6, and tropomyosin 2. Also, WB analysis revealed significantly (P<0.05) higher expression of PGRMC1 and RBP1 in PCOS ovaries as compared to the normal ovaries. The differential expression of the proteins was also validated by IHC. CONCLUSIONS: The present study identified novel differentially expressed proteins in the ovarian tissues of women with PCOS that can serve as potential biomarkers for the diagnosis and development of novel therapeutics for the treatment of PCOS using molecular interventions.
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spelling pubmed-51127972016-12-08 Proteomic Profiling for Identification of Novel Biomarkers Differentially Expressed in Human Ovaries from Polycystic Ovary Syndrome Patients Li, Li Zhang, Jiangyu Deng, Qingshan Li, Jieming Li, Zhengfen Xiao, Yao Hu, Shuiwang Li, Tiantian Tan, Qiuxiao Li, Xiaofang Luo, Bingshu Mo, Hui PLoS One Research Article OBJECTIVES: To identify differential protein expression pattern associated with polycystic ovary syndrome (PCOS). METHODS: Twenty women were recruited for the study, ten with PCOS as a test group and ten without PCOS as a control group. Differential in-gel electrophoresis (DIGE) analysis and mass spectroscopy were employed to identify proteins that were differentially expressed between the PCOS and normal ovaries. The differentially expressed proteins were further validated by western blot (WB) and immunohistochemistry (IHC). RESULTS: DIGE analysis revealed eighteen differentially expressed proteins in the PCOS ovaries of which thirteen were upregulated, and five downregulated. WB and IHC confirmed the differential expression of membrane-associated progesterone receptor component 1 (PGRMC1), retinol-binding protein 1 (RBP1), heat shock protein 90B1, calmodulin 1, annexin A6, and tropomyosin 2. Also, WB analysis revealed significantly (P<0.05) higher expression of PGRMC1 and RBP1 in PCOS ovaries as compared to the normal ovaries. The differential expression of the proteins was also validated by IHC. CONCLUSIONS: The present study identified novel differentially expressed proteins in the ovarian tissues of women with PCOS that can serve as potential biomarkers for the diagnosis and development of novel therapeutics for the treatment of PCOS using molecular interventions. Public Library of Science 2016-11-15 /pmc/articles/PMC5112797/ /pubmed/27846214 http://dx.doi.org/10.1371/journal.pone.0164538 Text en © 2016 Li et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Li, Li
Zhang, Jiangyu
Deng, Qingshan
Li, Jieming
Li, Zhengfen
Xiao, Yao
Hu, Shuiwang
Li, Tiantian
Tan, Qiuxiao
Li, Xiaofang
Luo, Bingshu
Mo, Hui
Proteomic Profiling for Identification of Novel Biomarkers Differentially Expressed in Human Ovaries from Polycystic Ovary Syndrome Patients
title Proteomic Profiling for Identification of Novel Biomarkers Differentially Expressed in Human Ovaries from Polycystic Ovary Syndrome Patients
title_full Proteomic Profiling for Identification of Novel Biomarkers Differentially Expressed in Human Ovaries from Polycystic Ovary Syndrome Patients
title_fullStr Proteomic Profiling for Identification of Novel Biomarkers Differentially Expressed in Human Ovaries from Polycystic Ovary Syndrome Patients
title_full_unstemmed Proteomic Profiling for Identification of Novel Biomarkers Differentially Expressed in Human Ovaries from Polycystic Ovary Syndrome Patients
title_short Proteomic Profiling for Identification of Novel Biomarkers Differentially Expressed in Human Ovaries from Polycystic Ovary Syndrome Patients
title_sort proteomic profiling for identification of novel biomarkers differentially expressed in human ovaries from polycystic ovary syndrome patients
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5112797/
https://www.ncbi.nlm.nih.gov/pubmed/27846214
http://dx.doi.org/10.1371/journal.pone.0164538
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