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Small RNA sequencing reveals distinct nuclear microRNAs in pig granulosa cells during ovarian follicle growth
Nuclear small RNAs have emerged as an important subset of non-coding RNA species that are capable of regulating gene expression. A type of small RNA, microRNA (miRNA) have been shown to regulate development of the ovarian follicle via canonical targeting and translational repression. Little has been...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8059229/ https://www.ncbi.nlm.nih.gov/pubmed/33879202 http://dx.doi.org/10.1186/s13048-021-00802-3 |
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author | Toms, Derek Pan, Bo Bai, Yinshan Li, Julang |
author_facet | Toms, Derek Pan, Bo Bai, Yinshan Li, Julang |
author_sort | Toms, Derek |
collection | PubMed |
description | Nuclear small RNAs have emerged as an important subset of non-coding RNA species that are capable of regulating gene expression. A type of small RNA, microRNA (miRNA) have been shown to regulate development of the ovarian follicle via canonical targeting and translational repression. Little has been done to study these molecules at a subcellular level. Using cell fractionation and high throughput sequencing, we surveyed cytoplasmic and nuclear small RNA found in the granulosa cells of the pig ovarian antral preovulatory follicle. Bioinformatics analysis revealed a diverse network of small RNA that differ in their subcellular distribution and implied function. We identified predicted genomic DNA binding sites for nucleus-enriched miRNAs that may potentially be involved in transcriptional regulation. The small nucleolar RNA (snoRNA) SNORA73, known to be involved in steroid synthesis, was also found to be highly enriched in the cytoplasm, suggesting a role for snoRNA species in ovarian function. Taken together, these data provide an important resource to study the small RNAome in ovarian follicles and how they may impact fertility. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13048-021-00802-3. |
format | Online Article Text |
id | pubmed-8059229 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-80592292021-04-21 Small RNA sequencing reveals distinct nuclear microRNAs in pig granulosa cells during ovarian follicle growth Toms, Derek Pan, Bo Bai, Yinshan Li, Julang J Ovarian Res Research Nuclear small RNAs have emerged as an important subset of non-coding RNA species that are capable of regulating gene expression. A type of small RNA, microRNA (miRNA) have been shown to regulate development of the ovarian follicle via canonical targeting and translational repression. Little has been done to study these molecules at a subcellular level. Using cell fractionation and high throughput sequencing, we surveyed cytoplasmic and nuclear small RNA found in the granulosa cells of the pig ovarian antral preovulatory follicle. Bioinformatics analysis revealed a diverse network of small RNA that differ in their subcellular distribution and implied function. We identified predicted genomic DNA binding sites for nucleus-enriched miRNAs that may potentially be involved in transcriptional regulation. The small nucleolar RNA (snoRNA) SNORA73, known to be involved in steroid synthesis, was also found to be highly enriched in the cytoplasm, suggesting a role for snoRNA species in ovarian function. Taken together, these data provide an important resource to study the small RNAome in ovarian follicles and how they may impact fertility. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13048-021-00802-3. BioMed Central 2021-04-20 /pmc/articles/PMC8059229/ /pubmed/33879202 http://dx.doi.org/10.1186/s13048-021-00802-3 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Toms, Derek Pan, Bo Bai, Yinshan Li, Julang Small RNA sequencing reveals distinct nuclear microRNAs in pig granulosa cells during ovarian follicle growth |
title | Small RNA sequencing reveals distinct nuclear microRNAs in pig granulosa cells during ovarian follicle growth |
title_full | Small RNA sequencing reveals distinct nuclear microRNAs in pig granulosa cells during ovarian follicle growth |
title_fullStr | Small RNA sequencing reveals distinct nuclear microRNAs in pig granulosa cells during ovarian follicle growth |
title_full_unstemmed | Small RNA sequencing reveals distinct nuclear microRNAs in pig granulosa cells during ovarian follicle growth |
title_short | Small RNA sequencing reveals distinct nuclear microRNAs in pig granulosa cells during ovarian follicle growth |
title_sort | small rna sequencing reveals distinct nuclear micrornas in pig granulosa cells during ovarian follicle growth |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8059229/ https://www.ncbi.nlm.nih.gov/pubmed/33879202 http://dx.doi.org/10.1186/s13048-021-00802-3 |
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