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Proteomic characterization of bovine granulosa cells in dominant and subordinate follicles

BACKGROUND: Characterization of molecular factors regulating ovarian follicular development is critical to understanding its functional mechanism of controlling the estrous cycle, determining oocyte competency, and regulating ovulation. In previous studies, we performed next-gene sequencing to inves...

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Autores principales: Hao, Qingling, Zhu, Zhiwei, Xu, Dongmei, Liu, Wenzhong, Lyu, Lihua, Li, Pengfei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6593542/
https://www.ncbi.nlm.nih.gov/pubmed/31293364
http://dx.doi.org/10.1186/s41065-019-0097-5
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author Hao, Qingling
Zhu, Zhiwei
Xu, Dongmei
Liu, Wenzhong
Lyu, Lihua
Li, Pengfei
author_facet Hao, Qingling
Zhu, Zhiwei
Xu, Dongmei
Liu, Wenzhong
Lyu, Lihua
Li, Pengfei
author_sort Hao, Qingling
collection PubMed
description BACKGROUND: Characterization of molecular factors regulating ovarian follicular development is critical to understanding its functional mechanism of controlling the estrous cycle, determining oocyte competency, and regulating ovulation. In previous studies, we performed next-gene sequencing to investigate the differentially expressed transcripts of bovine follicular granulosa cells (GCs) at the dominant follicle (DF) and subordinate follicle (SF) stages during the first follicular wave. This study aims to investigate the proteomic characterization of GCs of DF and SF in the bovine estrous cycle. RESULTS: In total, 3409 proteins were identified from 30,321 peptides obtained from liquid chromatograph-mass spectrometer analysis. Two hundred fifty-nine of these proteins were found to be expressed differently in DF and SF. Out of 259, a total of 26 proteins were upregulated (fold change≥2) and 233 proteins were downregulated (fold change≤0.5) in DF. Gene Ontology (GO) analysis of proteome data revealed the biological process, cellular component and molecular function of expressed proteins in DF and SF, while the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis showed important signaling pathways associated with follicular development such as the PI3K-Akt, estrogen, and insulin signaling pathways. Immunoblotting results of OGN, ROR2, and HSPB1 confirmed the accuracy of the data. Bioinformatics analysis showed that 13 proteins may be linked to follicular development. CONCLUSIONS: Findings from this study will provide useful information for exploring follicular development and function. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s41065-019-0097-5) contains supplementary material, which is available to authorized users.
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spelling pubmed-65935422019-07-10 Proteomic characterization of bovine granulosa cells in dominant and subordinate follicles Hao, Qingling Zhu, Zhiwei Xu, Dongmei Liu, Wenzhong Lyu, Lihua Li, Pengfei Hereditas Research BACKGROUND: Characterization of molecular factors regulating ovarian follicular development is critical to understanding its functional mechanism of controlling the estrous cycle, determining oocyte competency, and regulating ovulation. In previous studies, we performed next-gene sequencing to investigate the differentially expressed transcripts of bovine follicular granulosa cells (GCs) at the dominant follicle (DF) and subordinate follicle (SF) stages during the first follicular wave. This study aims to investigate the proteomic characterization of GCs of DF and SF in the bovine estrous cycle. RESULTS: In total, 3409 proteins were identified from 30,321 peptides obtained from liquid chromatograph-mass spectrometer analysis. Two hundred fifty-nine of these proteins were found to be expressed differently in DF and SF. Out of 259, a total of 26 proteins were upregulated (fold change≥2) and 233 proteins were downregulated (fold change≤0.5) in DF. Gene Ontology (GO) analysis of proteome data revealed the biological process, cellular component and molecular function of expressed proteins in DF and SF, while the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis showed important signaling pathways associated with follicular development such as the PI3K-Akt, estrogen, and insulin signaling pathways. Immunoblotting results of OGN, ROR2, and HSPB1 confirmed the accuracy of the data. Bioinformatics analysis showed that 13 proteins may be linked to follicular development. CONCLUSIONS: Findings from this study will provide useful information for exploring follicular development and function. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s41065-019-0097-5) contains supplementary material, which is available to authorized users. BioMed Central 2019-06-25 /pmc/articles/PMC6593542/ /pubmed/31293364 http://dx.doi.org/10.1186/s41065-019-0097-5 Text en © The Author(s) 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Hao, Qingling
Zhu, Zhiwei
Xu, Dongmei
Liu, Wenzhong
Lyu, Lihua
Li, Pengfei
Proteomic characterization of bovine granulosa cells in dominant and subordinate follicles
title Proteomic characterization of bovine granulosa cells in dominant and subordinate follicles
title_full Proteomic characterization of bovine granulosa cells in dominant and subordinate follicles
title_fullStr Proteomic characterization of bovine granulosa cells in dominant and subordinate follicles
title_full_unstemmed Proteomic characterization of bovine granulosa cells in dominant and subordinate follicles
title_short Proteomic characterization of bovine granulosa cells in dominant and subordinate follicles
title_sort proteomic characterization of bovine granulosa cells in dominant and subordinate follicles
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6593542/
https://www.ncbi.nlm.nih.gov/pubmed/31293364
http://dx.doi.org/10.1186/s41065-019-0097-5
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