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Transcriptional landscape of mouse-aged ovaries reveals a unique set of non-coding RNAs associated with physiological and environmental ovarian dysfunctions

The progressive and physiological decline in ovarian function depends on the rate of follicular loss by atresia, contributing to the reduction in ovarian reserve. Genetics and environmental factors play important roles in ovarian senescence and in the onset of ovarian dysfunctions such as diminished...

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Autores principales: Cuomo, Danila, Porreca, Immacolata, Ceccarelli, Michele, Threadgill, David W., Barrington, William T., Petriella, Annacristina, D’Angelo, Fulvio, Cobellis, Gilda, De Stefano, Francesca, D’Agostino, Maria N., De Felice, Mario, Mallardo, Massimo, Ambrosino, Concetta
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6281605/
https://www.ncbi.nlm.nih.gov/pubmed/30534420
http://dx.doi.org/10.1038/s41420-018-0121-y
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author Cuomo, Danila
Porreca, Immacolata
Ceccarelli, Michele
Threadgill, David W.
Barrington, William T.
Petriella, Annacristina
D’Angelo, Fulvio
Cobellis, Gilda
De Stefano, Francesca
D’Agostino, Maria N.
De Felice, Mario
Mallardo, Massimo
Ambrosino, Concetta
author_facet Cuomo, Danila
Porreca, Immacolata
Ceccarelli, Michele
Threadgill, David W.
Barrington, William T.
Petriella, Annacristina
D’Angelo, Fulvio
Cobellis, Gilda
De Stefano, Francesca
D’Agostino, Maria N.
De Felice, Mario
Mallardo, Massimo
Ambrosino, Concetta
author_sort Cuomo, Danila
collection PubMed
description The progressive and physiological decline in ovarian function depends on the rate of follicular loss by atresia, contributing to the reduction in ovarian reserve. Genetics and environmental factors play important roles in ovarian senescence and in the onset of ovarian dysfunctions such as diminished ovarian reserve. A better understanding of the mechanisms underlying ovarian aging and their regulation by genetic and environmental factors is needed to evaluate ovarian reserve and to predict fertility potential by identification of more accurate and less invasive markers. We report transcriptomic data (i) implicating novel (e.g. EIF2 signalling) and well-known pathways (e.g. TGFβ signalling), and (ii) defining a unique set of non-coding RNA (ncRNA), both associated with ovarian function. The latter includes miRNAs (e.g. Mir143 and Mir145), snoRNAs (e.g. Snord16a and Snora34), and one lncRNA (Gas5), which are differentially expressed in middle-aged ovaries (12 months) vs young-aged (3 months) from CD1 mice. Experimental analysis confirms that ovary lifespan varies across genetic backgrounds in mice and, genetics influences the response to environmental perturbations such as diet. Moreover, the identified ncRNAs were verified in a model of reproductive dysfunction promoted by the environmental toxicant ethylenthiourea. We also report the increase of miRNA143 and miRNA145 in follicular fluid of women with diminished ovarian reserve. Their levels inversely correlate with the hormonal profile and with the number of the oocytes recruited upon hormonal stimulation. Overall, we report a transcriptomic signature for ovarian dysfunction in vivo that provides a valuable resource for translational research in human reproductive aging.
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spelling pubmed-62816052018-12-10 Transcriptional landscape of mouse-aged ovaries reveals a unique set of non-coding RNAs associated with physiological and environmental ovarian dysfunctions Cuomo, Danila Porreca, Immacolata Ceccarelli, Michele Threadgill, David W. Barrington, William T. Petriella, Annacristina D’Angelo, Fulvio Cobellis, Gilda De Stefano, Francesca D’Agostino, Maria N. De Felice, Mario Mallardo, Massimo Ambrosino, Concetta Cell Death Discov Article The progressive and physiological decline in ovarian function depends on the rate of follicular loss by atresia, contributing to the reduction in ovarian reserve. Genetics and environmental factors play important roles in ovarian senescence and in the onset of ovarian dysfunctions such as diminished ovarian reserve. A better understanding of the mechanisms underlying ovarian aging and their regulation by genetic and environmental factors is needed to evaluate ovarian reserve and to predict fertility potential by identification of more accurate and less invasive markers. We report transcriptomic data (i) implicating novel (e.g. EIF2 signalling) and well-known pathways (e.g. TGFβ signalling), and (ii) defining a unique set of non-coding RNA (ncRNA), both associated with ovarian function. The latter includes miRNAs (e.g. Mir143 and Mir145), snoRNAs (e.g. Snord16a and Snora34), and one lncRNA (Gas5), which are differentially expressed in middle-aged ovaries (12 months) vs young-aged (3 months) from CD1 mice. Experimental analysis confirms that ovary lifespan varies across genetic backgrounds in mice and, genetics influences the response to environmental perturbations such as diet. Moreover, the identified ncRNAs were verified in a model of reproductive dysfunction promoted by the environmental toxicant ethylenthiourea. We also report the increase of miRNA143 and miRNA145 in follicular fluid of women with diminished ovarian reserve. Their levels inversely correlate with the hormonal profile and with the number of the oocytes recruited upon hormonal stimulation. Overall, we report a transcriptomic signature for ovarian dysfunction in vivo that provides a valuable resource for translational research in human reproductive aging. Nature Publishing Group UK 2018-12-05 /pmc/articles/PMC6281605/ /pubmed/30534420 http://dx.doi.org/10.1038/s41420-018-0121-y Text en © The Author(s) 2018 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Cuomo, Danila
Porreca, Immacolata
Ceccarelli, Michele
Threadgill, David W.
Barrington, William T.
Petriella, Annacristina
D’Angelo, Fulvio
Cobellis, Gilda
De Stefano, Francesca
D’Agostino, Maria N.
De Felice, Mario
Mallardo, Massimo
Ambrosino, Concetta
Transcriptional landscape of mouse-aged ovaries reveals a unique set of non-coding RNAs associated with physiological and environmental ovarian dysfunctions
title Transcriptional landscape of mouse-aged ovaries reveals a unique set of non-coding RNAs associated with physiological and environmental ovarian dysfunctions
title_full Transcriptional landscape of mouse-aged ovaries reveals a unique set of non-coding RNAs associated with physiological and environmental ovarian dysfunctions
title_fullStr Transcriptional landscape of mouse-aged ovaries reveals a unique set of non-coding RNAs associated with physiological and environmental ovarian dysfunctions
title_full_unstemmed Transcriptional landscape of mouse-aged ovaries reveals a unique set of non-coding RNAs associated with physiological and environmental ovarian dysfunctions
title_short Transcriptional landscape of mouse-aged ovaries reveals a unique set of non-coding RNAs associated with physiological and environmental ovarian dysfunctions
title_sort transcriptional landscape of mouse-aged ovaries reveals a unique set of non-coding rnas associated with physiological and environmental ovarian dysfunctions
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6281605/
https://www.ncbi.nlm.nih.gov/pubmed/30534420
http://dx.doi.org/10.1038/s41420-018-0121-y
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