ArticleJournal of ovarian research2015
Identification of miRNAs during mouse postnatal ovarian development and superovulation.
Article in Journal of ovarian research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 29 citations in OpenAlex.
- Transcriptomic analysis of mammary gland tissues in lactating and non-lactating dairy goats reveals miRNA-mediated regulation of lactation, involution, and remodeling.Frontiers in cell and developmental biology · 2025Article
- A glance into the roles of microRNAs (exosomal and non-exosomal) in polycystic ovary syndrome.Obstetrics & gynecology science · 2024Article
- MicroRNA-1298-5p in granulosa cells facilitates cell autophagy in polycystic ovary syndrome by suppressing glutathione-disulfide reductase.Cell and tissue research · 2023Article
- Abnormal expression profile of plasma-derived exosomal microRNAs in patients with treatment-resistant depression.Human genomics · 2021Article
- Genome-wide transcriptome profiling uncovers differential miRNAs and lncRNAs in ovaries of Hu sheep at different developmental stages.Scientific reports · 2021Article
- Serum microRNA profiling for the identification of predictive molecular markers of the response to controlled ovarian stimulation.JBRA assisted reproduction · 2020Article
- FSH/LH-Dependent Upregulation of Ahr in Murine Granulosa Cells Is Controlled by PKA Signaling and Involves Epigenetic Regulation.International journal of molecular sciences · 2019Article
- Screening of miRNA profiles and construction of regulation networks in early and late lactation of dairy goat mammary glands.Scientific reports · 2017Article
- MicroRNAs: New Insight in Modulating Follicular Atresia: A Review.International journal of molecular sciences · 2017Review
- Genome-Wide Sequencing Reveals MicroRNAs Downregulated in Cerebral Cavernous Malformations.Journal of molecular neuroscience : MN · 2017Article
- MiR-30b Attenuates Neuropathic Pain by Regulating Voltage-Gated Sodium Channel Nav1.3 in Rats.Frontiers in molecular neuroscience · 2017Article
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMicroRNAs are small noncoding RNAs that play critical roles in regulation of gene expression in wide array of tissues including the ovary through sequence complementarity at post-transcriptional level. Tight regulation of multitude of genes involved in ovarian development and folliculogenesis could be regulated at transcription level by these miRNAs. Therefore, tissue specific miRNAs identification is considered a key step towards understanding the role of miRNAs in biological processes.
methodsTo investigate the role of microRNAs during ovarian development and folliculogenesis we sequenced eight different libraries using Illumina deep sequencing technology. Different developmental stages were selected to explore miRNAs expression pattern at different stages of gonadal maturation with/without treatment of PMSG/hCG for superovulation.
resultsFrom massive sequencing reads, clean reads of 16-26 bp were selected for further analysis of differential expression analysis and novel microRNA annotation. Expression analysis of all miRNAs at different developmental stages showed that some miRNAs were present ubiquitously while others were differentially expressed at different stages. Among differentially expressed miRNAs we reported 61 miRNAs with a fold change of more than 2 at different developmental stages among all libraries. Among the up-regulated miRNAs, mmu-mir-1298 had the highest fold change with 4.025 while mmu-mir-150 was down-regulated more than 3 fold. Furthermore, we found 2659 target genes for 20 differentially expressed microRNAs using seven different target predictions programs (DIANA-mT, miRanda, miRDB, miRWalk, RNAhybrid, PICTAR5, TargetScan). Analysis of the predicted targets showed certain ovary specific genes targeted by single or multiple microRNAs. Furthermore, pathway annotation and Gene ontology showed involvement of these microRNAs in basic cellular process.
conclusionsThese results suggest the presence of different miRNAs at different stages of ovarian development and superovulation. Potential role of these microRNAs was elucidated using bioinformatics tools in regulation of different pathways, biological functions and cellular components underlying ovarian development and superovulation. These results provide a framework for extended analysis of miRNAs and their roles during ovarian development and superovulation. Furthermore, this study provides a base for characterization of individual miRNAs to discover their role in ovarian development and female fertility.
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