<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v2.3 20070202//EN" "journalpublishing.dtd">
<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article">
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Genet.</journal-id>
<journal-title>Frontiers in Genetics</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Genet.</abbrev-journal-title>
<issn pub-type="epub">1664-8021</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fgene.2017.00057</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Genetics</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Non-coding RNAs in the Ovarian Follicle</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Battaglia</surname> <given-names>Rosalia</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn001"><sup>&#x002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/418125/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Vento</surname> <given-names>Maria E.</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Borz&#x00EC;</surname> <given-names>Placido</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Ragusa</surname> <given-names>Marco</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/113998/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Barbagallo</surname> <given-names>Davide</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/113740/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Arena</surname> <given-names>Desir&#x00E9;e</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/427362/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Purrello</surname> <given-names>Michele</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/113721/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Di Pietro</surname> <given-names>Cinzia</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/114040/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Section of Biology and Genetics G. Sichel, Department of Biomedical and Biotechnological Sciences, University of Catania</institution> <country>Catania, Italy</country></aff>
<aff id="aff2"><sup>2</sup><institution>IVF Unit, Cannizzaro Hospital</institution> <country>Catania, Italy</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: <italic>Rosalba Giugno, University of Verona, Italy</italic></p></fn>
<fn fn-type="edited-by"><p>Reviewed by: <italic>Yang Dai, University of Illinois at Chicago, USA; Francesco Russo, University of Copenhagen, Denmark</italic></p></fn>
<fn fn-type="corresp" id="fn001"><p>&#x002A;Correspondence: <italic>Rosalia Battaglia, <email>rosaliabattaglia04@gmail.com</email></italic></p></fn>
<fn fn-type="other" id="fn002"><p>This article was submitted to Bioinformatics and Computational Biology, a section of the journal Frontiers in Genetics</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>12</day>
<month>05</month>
<year>2017</year>
</pub-date>
<pub-date pub-type="collection">
<year>2017</year>
</pub-date>
<volume>8</volume>
<elocation-id>57</elocation-id>
<history>
<date date-type="received">
<day>17</day>
<month>02</month>
<year>2017</year>
</date>
<date date-type="accepted">
<day>26</day>
<month>04</month>
<year>2017</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2017 Battaglia, Vento, Borz&#x00EC;, Ragusa, Barbagallo, Arena, Purrello and Di Pietro.</copyright-statement>
<copyright-year>2017</copyright-year>
<copyright-holder>Battaglia, Vento, Borz&#x00EC;, Ragusa, Barbagallo, Arena, Purrello and Di Pietro</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license>
</permissions>
<abstract>
<p>The mammalian ovarian follicle is the complex reproductive unit comprising germ cell, somatic cells (Cumulus and Granulosa cells), and follicular fluid (FF): paracrine communication among the different cell types through FF ensures the development of a mature oocyte ready for fertilization. This paper is focused on non-coding RNAs in ovarian follicles and their predicted role in the pathways involved in oocyte growth and maturation. We determined the expression profiles of microRNAs in human oocytes and FF by high-throughput analysis and identified 267 microRNAs in FF and 176 in oocytes. Most of these were FF microRNAs, while 9 were oocyte specific. By bioinformatic analysis, independently performed on FF and oocyte microRNAs, we identified the most significant Biological Processes and the pathways regulated by their validated targets. We found many pathways shared between the two compartments and some specific for oocyte microRNAs. Moreover, we found 41 long non-coding RNAs able to interact with oocyte microRNAs and potentially involved in the regulation of folliculogenesis. These data are important in basic reproductive research and could also be useful for clinical applications. In fact, the characterization of non-coding RNAs in ovarian follicles could improve reproductive disease diagnosis, provide biomarkers of oocyte quality in Assisted Reproductive Treatment, and allow the development of therapies for infertility disorders.</p>
</abstract>
<kwd-group>
<kwd>human oocyte</kwd>
<kwd>ovarian follicle</kwd>
<kwd>follicular fluid</kwd>
<kwd>microRNAs</kwd>
<kwd>lncRNAs</kwd>
</kwd-group>
<counts>
<fig-count count="4"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="60"/>
<page-count count="11"/>
<word-count count="0"/>
</counts>
</article-meta>
</front>
<body>
<sec><title>Introduction</title>
<p>Infertility, the inability to conceive and have children, is estimated to affect as many as 186 million people worldwide, and, consequently, represents an important social and medical problem (<xref ref-type="bibr" rid="B24">Inhorn and Patrizio, 2015</xref>). It can be considered a complex disease: first of all it is related to two different genomes (oocyte and sperm quality represent major determining factors in reproductive success), depends on endometrium receptivity and is influenced by several environmental factors (<xref ref-type="bibr" rid="B25">Koot and Macklon, 2013</xref>; <xref ref-type="bibr" rid="B21">Hart, 2016</xref>). In the same way as cancer, cardiovascular and neurodegenerative diseases, discovering a contributing factor and characterizing its involvement, is a difficult undertaking because the effect of any single factor may be obscured or confounded by other contributing factors (<xref ref-type="bibr" rid="B34">Manolio et al., 2009</xref>). To add to this complexity, male or female gametogenesis, fertilization and implantation, are regulated by different complex biological pathways and involve many molecules as mRNAs, non-coding RNAs, and proteins. In female gametogenesis, oocyte competence develops through protracted and complex processes beginning during embryonic life and ending at the moment that the MII oocyte is ovulated (<xref ref-type="bibr" rid="B22">Hutt and Albertini, 2007</xref>). During embryonic life, primordial germ cells (PGCs) migrate to the genital ridge, proliferate by mitosis transforming into primary oocytes. Primary oocytes enter in meiosis and become arrested in prophase I at the diplotene stage (dyctiate). At this time the oocyte is enclosed in a specialized lineage of ovarian somatic cells, pre-granulosa cells, to form a primordial follicle (<xref ref-type="bibr" rid="B60">Zuccotti et al., 2011</xref>). The primordial follicle pool, produced during embryonic life, represents the woman&#x2019;s ovarian reserve (<xref ref-type="bibr" rid="B43">Reddy et al., 2010</xref>). After puberty, some primary follicles are cyclically recruited and develop through primary, secondary and antral stages. Inside antral follicles, in response to hormonal signaling, the oocytes are stimulated to resume meiosis. Most of the antral follicles undergo apoptosis, whereas only one, the dominant Graafian follicle, ovulates to release the mature egg, ready for fertilization (<xref ref-type="bibr" rid="B50">Sun et al., 2009</xref>; <xref ref-type="bibr" rid="B60">Zuccotti et al., 2011</xref>). At this stage, the follicles consist of the germ cell in the metaphase of the second meiotic division (MII oocytes), in a fluid-filled cavity called the antrum and different layers of somatic cells, the cumulus cells (CC) surrounding the oocytes and the granulosa cells (GC) as walls of follicle (<xref ref-type="bibr" rid="B47">Russell and Robker, 2007</xref>; <xref ref-type="bibr" rid="B46">Rodgers and Irving-Rodgers, 2010</xref>). Follicle development and oocyte maturation are strictly associated, in fact, the proliferation and the differentiation of somatic follicular cells occur in synchrony with the maturing oocyte, mediated by a constant exchange of signals between somatic cells and the germ cell (<xref ref-type="bibr" rid="B47">Russell and Robker, 2007</xref>). The cross-talk between the oocyte and somatic follicular cells occurs by gap-junctions established between the oocyte and CCs and through the Follicular Fluid (FF) accumulated inside the antrum (<xref ref-type="bibr" rid="B46">Rodgers and Irving-Rodgers, 2010</xref>). FF consists of a complex mixture of nucleic acids, proteins, metabolites, and ions, which are secreted by the oocytes and somatic cells (<xref ref-type="bibr" rid="B44">Revelli et al., 2009</xref>). Recently, it has been demonstrated that in human FF, microRNAs (miRNAs), carried by extracellular vesicles (EVs) such as microvesicles and exosomes are present (<xref ref-type="bibr" rid="B48">Santonocito et al., 2014</xref>). The discovery of mechanisms of autocrine and paracrine communication mediated by miRNAs, inside the ovarian follicle, has revealed that these non-coding RNAs represent important regulators inside the pathways involved in folliculogenesis and oocyte maturation (<xref ref-type="bibr" rid="B48">Santonocito et al., 2014</xref>; <xref ref-type="bibr" rid="B11">Di Pietro, 2016</xref>). Consequently, their characterization could improve our knowledge about female gametogenesis, and could pinpoint new molecules involved in reproductive disorders allowing the formulation of new therapeutic approaches.</p>
<p>The aim of this paper was to identify the miRNAs in the follicular microenvironment and position them within the different compartments of the ovarian follicle identifying the pathways regulated by their targets and the long non-coding RNAs (lncRNAs) possibly involved in oocyte growth and maturation.</p>
</sec>
<sec id="s1" sec-type="materials|methods">
<title>Materials and Methods</title>
<sec><title>Ethics Statement</title>
<p>The patients, included in IVF programs, signed an informed consent (in accordance with the Declaration of Helsinki) to participate in the research project, which comprised the use of collected FF and surplus MII oocytes. The study on human MII oocytes was approved by the Institutional Ethical Committee Catania 1.</p>
</sec>
<sec><title>Sample Collection</title>
<p>Human oocytes and FF samples were collected from healthy women (without any ovarian pathology), &#x2264;38 years old, undergoing intracytoplasmic sperm injections (ICSI) (<xref ref-type="bibr" rid="B48">Santonocito et al., 2014</xref>). FF of individual follicles was kept separated until decumulation of the oocytes to collect only the FF in which nuclear mature oocytes (metaphase II) had been identified. A total of 12 mature MII oocytes, two oocytes per woman, showing normal morphology, and 6 pools of FF were collected from individual follicles of 6 and 15 healthy women respectively, and used for miRNA expression profile analysis. The six couples of MII oocytes retrieved were separately placed in six independent Eppendorf tubes and rinsed in RNase-free water several times to remove any trace of cell culture medium. The oocytes were transferred to PCR tubes in 2 &#x03BC;l water and stored at -80&#x00B0;C before RNA extraction. Human FF samples were centrifuged for 20&#x2032; at 2,800 rpm at 4&#x00B0;C to remove follicular cell residue and any traces of blood; the supernatant was immediately transferred into a new Eppendorf tube and stored at -80&#x00B0;C for further analysis.</p>
</sec>
<sec><title>RNA Isolation, Reverse Transcription and miRNA Profiling by Taqman Low Density Array</title>
<p>For fluids, miRNA isolation was performed by using Qiagen miRNeasy Mini Kit (Qiagen GmbH), according to the Qiagen Supplementary Protocol for the purification of small RNAs from serum and plasma and finally eluted in a 30 &#x03BC;l volume of RNAse-free water. Oocytes were incubated, after adding water (2 &#x03BC;l), for 1&#x2032; at 100&#x00B0;C according to previously published protocols with minor modifications (<xref ref-type="bibr" rid="B15">El Mouatassim et al., 1999</xref>; <xref ref-type="bibr" rid="B12">Di Pietro et al., 2008</xref>; <xref ref-type="bibr" rid="B3">Battaglia et al., 2016</xref>) in order to release nucleic acids. Samples (3 &#x03BC;l of total RNA from hFF and human MII oocytes), were retrotranscribed and preamplified. Amplified products were loaded onto microfluidic cards of the TaqMan Human MicroRNA Array A v2.0 (Applied Biosystems). To prepare the real time PCR reaction mix, 9 &#x03BC;l of undiluted pre-amplification product was added to 450 &#x03BC;l of 2X TaqMan Universal PCR Master mix, no AmpErase UNG (Applied Biosystems) and nuclease free water was added to a final volume of 900 &#x03BC;l. 100 &#x03BC;l of PCR reaction mix was loaded onto 384-well TaqMan Low Density Human MicroRNA array cards (TLDA). The qRT-PCR reaction was carried out according to the manufacturer&#x2019;s instructions in a 7900HT Fast Real Time PCR System (Applied Biosystems).</p>
</sec>
<sec><title>Analysis of miRNA Expression Data</title>
<p>miRNA expression profiles were analyzed using real-time RQ Manager software v1.2 (Applied Biosystems). For relative quantification of miRNAs we filtered miRNAs having Ct values below 37 and detected in all biological replicates. Statistically significant miRNA differences were identified by Significance of Microarrays Analysis (SAM)<sup><xref ref-type="fn" rid="fn01">1</xref></sup>, applying a two-class paired test among &#x0394;Ct of FF and oocytes samples by using a <italic>p</italic>-value based on 100 permutations; imputation engine: K-nearest neighbors, 10 neighbors; false discovery rate &#x003C; 0.15 (<xref ref-type="bibr" rid="B41">Ragusa et al., 2014</xref>; <xref ref-type="bibr" rid="B3">Battaglia et al., 2016</xref>; <xref ref-type="bibr" rid="B16">Fendler et al., 2017</xref>). miRNA expression changes were calculated by applying the 2<sup>-&#x0394;&#x0394;CT</sup> method and using the average Ct of each plate as endogenous controls. We accepted only DE miRNAs common to least two SAM tests as reliable. Expression data in the Result section are shown as natural logarithms of relative quantity (RQ) values and the error was estimated by evaluating the 2<sup>-&#x0394;&#x0394;Ct</sup> equation using &#x0394;&#x0394;Ct plus SD and &#x0394;&#x0394;Ct minus SD (<xref ref-type="bibr" rid="B33">Livak and Schmittgen, 2001</xref>). The expression data have been deposited in NCBI&#x2019;s Gene Expression Omnibus (<xref ref-type="bibr" rid="B14">Edgar et al., 2002</xref>) and are accessible through GEO Series accession number <ext-link ext-link-type="DDBJ/EMBL/GenBank" xlink:href="GSE98103">GSE98103</ext-link>.<sup><xref ref-type="fn" rid="fn02">2</xref></sup></p>
</sec>
<sec><title>miRNA Target Prediction, Go and Pathway Analysis</title>
<p>In order to gain insights into biological processes (BP) regulated by FF and oocyte miRNAs we retrieved validated targets by using miRTarBase v6.0<sup><xref ref-type="fn" rid="fn03">3</xref></sup> to select targets experimentally verified in humans with strong validation methods (Reporter assay, Western blot and RT-qPCR). Afterward, we explored miRNA target expression through the comparison with protein coding genes expressed in ovarian follicles in humans, available from OKdb<sup><xref ref-type="fn" rid="fn04">4</xref></sup>, and then we analyzed their Gene Ontologies (GO) and Pathways by the Panther classification system v10.0.<sup><xref ref-type="fn" rid="fn05">5</xref></sup> The statistical overrepresentation test was executed and the Bonferroni correction for multiple testing was used to correct the <italic>P</italic>-value. GOs and molecular pathways with a <italic>P</italic>-value &#x003C; 0.05 were chosen. Target genes of miRNAs commonly expressed in hFF and oocytes were subsequently used in a signaling pathway enrichment analysis in Diana-miRPath v3.0.<sup><xref ref-type="fn" rid="fn06">6</xref></sup> The list of genes expressed in the human ovarian follicle was imported into Diana-miRPath to carry out pathway analysis of experimentally validated miRNA gene targets, according to the Kyoto Encyclopedia of Genes and Genomes (KEGG). The FDR method was implemented to select the biological pathways with a threshold of significance defined by <italic>P</italic> &#x003C; 0.05 and a microT threshold of 0.8.</p>
</sec>
<sec><title>Prediction of lncRNAs Implicated in miRNA Regulation</title>
<p>In order to explore whether lncRNAs might have a regulatory function in oocyte maturation and early embryo development, we searched for experimentally verified miRNA-lncRNA interactions on LncBase v.2<sup><xref ref-type="fn" rid="fn07">7</xref></sup> (<xref ref-type="bibr" rid="B39">Paraskevopoulou et al., 2016</xref>). The identification of miRNAs that are interacting with lncRNAs was performed by selecting those experimentally verified in homo sapiens (by Northern Blot, luciferase reporter assay and qPCR), and found expressed in the ovary, embryo and ESCs, with a prediction score above the 75th percentile. To have a better understanding of lncRNA functions in human oocytes we drew interactions among candidate molecules using information from literature data and NPInter v3.0<sup><xref ref-type="fn" rid="fn08">8</xref></sup>.</p>
</sec>
</sec>
<sec><title>Results</title>
<sec><title>Profiling of microRNAs in Ovarian Follicle Compartments</title>
<p>Using TaqMan Low Density Array (TLDA) technology, we determined the expression profile of 384 miRNAs on 6 pools of FF and 6 pools of MII oocytes from healthy women. We identified 267 miRNAs in FF and 176 in oocytes. In order to characterize the miRNA content in the respective follicle components, we compared the sets of identified miRNAs and found 118 miRNAs (Common-miRNAs), including small nuclear RNA U6, in both components (<bold>Figure <xref ref-type="fig" rid="F1">1A</xref></bold>). Moreover, by qualitative analysis, we detected a subsets of miRNAs specifically expressed in FF that were undetected in oocytes, and <italic>vice versa</italic>. In particular, we identified 158 miRNAs only in the FF compartment (FF-miRNAs), whereas we found 9 miRNAs exclusively expressed in human MII oocytes (O-miRNAs) (<bold>Figure <xref ref-type="fig" rid="F1">1A</xref></bold>). In order to explore their role in ovarian follicle maturation, we compared the validated targets of the identified miRNAs with protein coding genes expressed in the human ovary. Of the 2,067 target genes &#x223C;39% were known to be expressed within different follicle cell types and involved in different aspects of follicle development: oocyte maturation (29.71%), ovulation (8.52%) and antral follicle growth (9.74%) (<bold>Figure <xref ref-type="fig" rid="F1">1B</xref></bold>). Moreover, we identified 277 miRNAs (FF-miRNAs and Common-miRNAs) with an overlap of 82% with miRNAs annotated on web-based resource ExoCarta. On the other hand, miR-515-5p, miR-519c-3p, miR-520d-5p miR-548a-3p, and miR-548c-3p, specifically expressed in oocyte, are not found incorporated in exosome vesicles.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption><p><bold>miRNA distribution in the ovarian follicle and functional analysis of the target genes. (A)</bold> Venn diagram shows the overlap between miRNA sets in hFF and the mature MII oocyte. <bold>(B)</bold> A second diagram shows miRNA target expression and function inside the ovarian follicle.</p></caption>
<graphic xlink:href="fgene-08-00057-g001.tif"/>
</fig>
</sec>
<sec><title>Gene Ontology and Pathway Analysis of FF-miRNAs and O-miRNAs</title>
<p>Gene ontologies and Pathway analysis were independently performed on FF-miRNA and O-miRNA validated target genes. According to the number of miRNAs identified, the number of mRNA targets is quite different in the two compartments (1,099 FF-miRNA targets and 19 O-miRNA targets): for this reason the data cannot be considered all together. The most significant BP involving the targets of both FF-miRNAs and O-miRNAs are related to cellular response to stimulus, development and the regulation of cellular processes (<bold>Figures <xref ref-type="fig" rid="F2">2A,C</xref></bold>). FF-miRNAs were statistically more represented in developmental processes, cell differentiation, intracellular signal transduction, cell death, apoptotic processes and the response to endogenous stimuli than O-miRNAs (<bold>Figures <xref ref-type="fig" rid="F2">2A,C</xref></bold>). Conversely, O-miRNAs showed a significant enrichment of target genes in GO terms related to the response to organic substances, drugs, chemicals, lipids, external stimuli, oxygen containing compounds and other processes such as organ morphogenesis, developmental processes, regulation of biological quality and negative regulation of cell death (<bold>Figures <xref ref-type="fig" rid="F2">2A,C</xref></bold>). The most significant pathways are regulated by both FF-miRNAs and O-miRNAs and are associated with the cellular response to stress signals, such as p53 feedback loops 2, p53, Hypoxia response via HIF activation, inflammation mediated by chemokines and cytokines, and interleukin signaling pathway (<bold>Figures <xref ref-type="fig" rid="F2">2B,D</xref></bold>).</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption><p><bold>Significant overrepresentation of GOs, in terms of Biological Processes, and signaling pathways for miRNAs identified in hFF (FF-miRNAs) and the MII oocytes (O-miRNAs) are shown in (A,B)</bold> and <bold>(C,D)</bold>, respectively. The significance values are reported as -log10 (<italic>P</italic>-value).</p></caption>
<graphic xlink:href="fgene-08-00057-g002.tif"/>
</fig>
</sec>
<sec><title>Quantification and Pathway Analysis of Common-miRNAs</title>
<p>Finally, because it is not possible to establish the specific cell type from which the Common-miRNAs originate, we compared the expression profiles of 118 miRNAs, co-expressed in FF and oocytes. The heat map diagram in <bold>Figure <xref ref-type="fig" rid="F3">3A</xref></bold> shows miRNA normalized expression levels across the different sample types (<bold>Figure <xref ref-type="fig" rid="F3">3A</xref></bold>). SAM analysis revealed 38 miRNAs displaying statistical significant differences between human FF and MII oocytes (<bold>Figure <xref ref-type="fig" rid="F3">3B</xref></bold> and <bold>Supplementary Table <xref ref-type="supplementary-material" rid="SM1">S1</xref></bold>). Approximately 16% of the Common-miRNAs showed no significant variation between the two ovarian follicle components. On the contrary, we found 27 miRNAs significantly up-regulated in human FF (with respect to oocytes). Interestingly, let-7b-5p, miR-15b-5p, miR-24-3p, miR-130b-3p, miR-146b-5p, miR-212-3p, miR-222-3p, miR-223-3p, miR-339-3p and miR-483-5p showed expression fold changes higher than 100-fold (ln RQ > 4.7) compared to oocytes (<bold>Figure <xref ref-type="fig" rid="F3">3B</xref></bold> and <bold>Supplementary Table <xref ref-type="supplementary-material" rid="SM1">S1</xref></bold>). In contrast, 11 miRNAs (miR-9-5p, miR-184, miR-328-3p, miR-363-3p, miR-372-3p, miR-518d-3p, miR-518f-3p miR-523-3p, miR-618, miR-625-5p, and miR-628-5p) were significantly up-regulated in human oocytes (with respect to FF) (<bold>Figure <xref ref-type="fig" rid="F3">3B</xref></bold> and <bold>Supplementary Table <xref ref-type="supplementary-material" rid="SM1">S1</xref></bold>). Finally, Common-miRNAs, analyzed by KEGG analysis, showed their involvement in regulating 48.9% of genes expressed in the human ovarian follicle. Most of the significant pathways are shared with FF-miRNAs but we also found many pathways involved in oocyte maturation, regulation of pluripotency in stem cells and miRNAs in cancer. Moreover, protein processing in the endoplasmic reticulum, endocytosis, gap junction and protein export are also well represented (<bold>Figure <xref ref-type="fig" rid="F3">3C</xref></bold>).</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption><p><bold>miRNA expression in hFF and human oocytes. (A)</bold> Heat map of normalized miRNA expression data (&#x2013;DCT values) of 118 Common-miRNAs for hFF and oocyte samples. The red and green colors represent up and down regulated miRNA expression levels, respectively. Equally expressed miRNAs are indicated in black. <bold>(B)</bold> Relative expression levels of 27 and 11 miRNAs that were differentially expressed between FF and oocytes. <bold>(C)</bold> Signaling pathway enrichment analysis for common miRNAs with KEGG against listed target genes. The probability values are reported as &#x2013;log10 (<italic>P</italic>-value).</p></caption>
<graphic xlink:href="fgene-08-00057-g003.tif"/>
</fig>
</sec>
<sec><title>Long Non-coding RNAs in Oocytes</title>
<p>Prediction of experimentally verified interactions of lncRNAs with the 16 O-miRNAs was implemented by DIANA-LncBase database. A total of 41 lncRNAs were significantly associated with 9 O-miRNAs (<bold>Table <xref ref-type="table" rid="T1">1</xref></bold>). Each of them is expressed in embryonic cells, in the ovary or in the placenta and are involved in several human pathologies. We found that 17 lncRNAs were annotated as long intergenic RNAs (lincRNAs), 9 as antisense transcripts of genes, 6 as transcript isomorphs, 5 as retained introns, 4 as sense transcripts and 11 as circular RNAs (circRNAs) in the database circBase<sup><xref ref-type="fn" rid="fn09">9</xref></sup> (<bold>Table <xref ref-type="table" rid="T1">1</xref></bold>). Network analysis showed the interactions among lncRNAs and miRNAs involved in stemness, RNA maturation and epigenetics (<bold>Figure <xref ref-type="fig" rid="F4">4</xref></bold>).</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>LncRNAs in human oocytes.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">miRNA</th>
<th valign="top" align="left">lncRNA</th>
<th valign="top" align="center">Prediction score</th>
<th valign="top" align="left">Biotype</th>
<th valign="top" align="center">Chromosome</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">miR-9-5p</td>
<td valign="top" align="left">CTB-89H12.4</td>
<td valign="top" align="center">0.994</td>
<td valign="top" align="left">Retained_intron<sup>&#x2217;</sup></td>
<td valign="top" align="center">5</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">TUG1</td>
<td valign="top" align="center">0.985</td>
<td valign="top" align="left">Antisense<sup>&#x2217;</sup></td>
<td valign="top" align="center">22</td></tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">RP11-793H13.8</td>
<td valign="top" align="center">0.962</td>
<td valign="top" align="left">Retained_intron</td>
<td valign="top" align="center">12</td></tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">SNHG14</td>
<td valign="top" align="center">0.934</td>
<td valign="top" align="left">Antisense<sup>&#x2217;</sup></td>
<td valign="top" align="center">15</td></tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">RP11-314B1.2</td>
<td valign="top" align="center">0.930</td>
<td valign="top" align="left">lincRNA</td>
<td valign="top" align="center">2</td></tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">RP11-383J24.6</td>
<td valign="top" align="center">0.868</td>
<td valign="top" align="left">lincRNA</td>
<td valign="top" align="center">8</td></tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">RP11-436K8.1</td>
<td valign="top" align="center">0.858</td>
<td valign="top" align="left">lincRNA</td>
<td valign="top" align="center">1</td></tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">TMEM256-PLSCR3</td>
<td valign="top" align="center">0.857</td>
<td valign="top" align="left">Sense</td>
<td valign="top" align="center">17</td></tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">CTD-2368P22.1</td>
<td valign="top" align="center">0.808</td>
<td valign="top" align="left">Retained_intron</td>
<td valign="top" align="center">19</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">AC007246.3</td>
<td valign="top" align="center">0.791</td>
<td valign="top" align="left">Antisense</td>
<td valign="top" align="center">2</td></tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">XLOC_000918</td>
<td valign="top" align="center">0.789</td>
<td valign="top" align="left">Transcript isomorph</td>
<td valign="top" align="center">1</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">RNF144A-AS1</td>
<td valign="top" align="center">0.780</td>
<td valign="top" align="left">Antisense</td>
<td valign="top" align="center">2</td></tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">RP4-717I23.3</td>
<td valign="top" align="center">0.779</td>
<td valign="top" align="left">lincRNA<sup>&#x2217;</sup></td>
<td valign="top" align="center">1</td></tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">IPO11-LRRC70</td>
<td valign="top" align="center">0.777</td>
<td valign="top" align="left">Sense</td>
<td valign="top" align="center">5</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">XLOC_008152</td>
<td valign="top" align="center">0.771</td>
<td valign="top" align="left">Transcript isomorph</td>
<td valign="top" align="center">X</td></tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">AC093323.3</td>
<td valign="top" align="center">0.759</td>
<td valign="top" align="left">lincRNA</td>
<td valign="top" align="center">4</td></tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">DPP10-AS1</td>
<td valign="top" align="center">0.755</td>
<td valign="top" align="left">Antisense</td>
<td valign="top" align="center">2</td></tr>
<tr>
<td valign="top" align="left">miR-136-5p</td>
<td valign="top" align="left">MALAT-1</td>
<td valign="top" align="center">0.937</td>
<td valign="top" align="left">lincRNA<sup>&#x2217;</sup></td>
<td valign="top" align="center">11</td></tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">GAS5</td>
<td valign="top" align="center">0.903</td>
<td valign="top" align="left">Retained_intron<sup>&#x2217;</sup></td>
<td valign="top" align="center">1</td></tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">RP11-383J24.6</td>
<td valign="top" align="center">0.802</td>
<td valign="top" align="left">lincRNA</td>
<td valign="top" align="center">8</td></tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">RP3-468B3.2</td>
<td valign="top" align="center">0.781</td>
<td valign="top" align="left">lincRNA</td>
<td valign="top" align="center">6</td></tr>
<tr>
<td valign="top" align="left">miR-363-3p</td>
<td valign="top" align="left">XIST</td>
<td valign="top" align="center">0.919</td>
<td valign="top" align="left">lincRNA<sup>&#x2217;</sup></td>
<td valign="top" align="center">X</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">XLOC_008152</td>
<td valign="top" align="center">0.914</td>
<td valign="top" align="left">Transcript isomorph</td>
<td valign="top" align="center">X</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">RP11-67L2.2</td>
<td valign="top" align="center">0.797</td>
<td valign="top" align="left">lincRNA</td>
<td valign="top" align="center">3</td></tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">OIP5-AS1</td>
<td valign="top" align="center">0.773</td>
<td valign="top" align="left">Antisense<sup>&#x2217;</sup></td>
<td valign="top" align="center">15</td></tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">CASC7</td>
<td valign="top" align="center">0.769</td>
<td valign="top" align="left">lincRNA</td>
<td valign="top" align="center">8</td></tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">CTD-3099C6.9</td>
<td valign="top" align="center">0.751</td>
<td valign="top" align="left">Sense_intronic</td>
<td valign="top" align="center">19</td></tr>
<tr>
<td valign="top" align="left">miR-519c-3p</td>
<td valign="top" align="left">CTB-89H12.4</td>
<td valign="top" align="center">0.990</td>
<td valign="top" align="left">Retained_intron<sup>&#x2217;</sup></td>
<td valign="top" align="center">5</td></tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">LOC388692</td>
<td valign="top" align="center">0.871</td>
<td valign="top" align="left">lincRNA</td>
<td valign="top" align="center">1</td></tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">GABPB1-AS1</td>
<td valign="top" align="center">0.792</td>
<td valign="top" align="left">Antisense</td>
<td valign="top" align="center">15</td></tr>
<tr>
<td valign="top" align="left">miR-520d-5p</td>
<td valign="top" align="left">CTB-89H12.4</td>
<td valign="top" align="center">0.974</td>
<td valign="top" align="left">Retained_intron<sup>&#x2217;</sup></td>
<td valign="top" align="center">5</td></tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">CASC7</td>
<td valign="top" align="center">0.935</td>
<td valign="top" align="left">lincRNA</td>
<td valign="top" align="center">8</td></tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">NORAD</td>
<td valign="top" align="center">0.891</td>
<td valign="top" align="left">lincRNA</td>
<td valign="top" align="center">20</td>
</tr>
<tr>
<td valign="top" align="left">miR-548a-3p</td>
<td valign="top" align="left">CASC7</td>
<td valign="top" align="center">0.960</td>
<td valign="top" align="left">lincRNA</td>
<td valign="top" align="center">8</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">CTB-89H12.4</td>
<td valign="top" align="center">0.890</td>
<td valign="top" align="left">Retained_intron<sup>&#x2217;</sup></td>
<td valign="top" align="center">5</td></tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">LINC01355</td>
<td valign="top" align="center">0.944</td>
<td valign="top" align="left">lincRNA</td>
<td valign="top" align="center">1</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">MALAT-1</td>
<td valign="top" align="center">0.865</td>
<td valign="top" align="left">lincRNA<sup>&#x2217;</sup></td>
<td valign="top" align="center">11</td></tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">NEAT1</td>
<td valign="top" align="center">0.950</td>
<td valign="top" align="left">lincRNA</td>
<td valign="top" align="center">11</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">RP6-24A23.7</td>
<td valign="top" align="center">0.761</td>
<td valign="top" align="left">Sense-overlapping</td>
<td valign="top" align="center">X</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">XIST</td>
<td valign="top" align="center">0.933</td>
<td valign="top" align="left">lincRNA<sup>&#x2217;</sup></td>
<td valign="top" align="center">X</td></tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">XLOC_006828</td>
<td valign="top" align="center">0.776</td>
<td valign="top" align="left">Transcript isomorph</td>
<td valign="top" align="center">8</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">XLOC_011568</td>
<td valign="top" align="center">0.770</td>
<td valign="top" align="left">Transcript isomorph</td>
<td valign="top" align="center">15</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">ZFAS1</td>
<td valign="top" align="center">0.761</td>
<td valign="top" align="left">Antisense<sup>&#x2217;</sup></td>
<td valign="top" align="center">20</td></tr>
<tr>
<td valign="top" align="left">miR-618</td>
<td valign="top" align="left">NORAD</td>
<td valign="top" align="center">0.857</td>
<td valign="top" align="left">lincRNA</td>
<td valign="top" align="center">20</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">OIP5-AS1</td>
<td valign="top" align="center">0.884</td>
<td valign="top" align="left">Antisense<sup>&#x2217;</sup></td>
<td valign="top" align="center">15</td></tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">SNHG1</td>
<td valign="top" align="center">0.753</td>
<td valign="top" align="left">Retained_intron <sup>&#x2217;</sup></td>
<td valign="top" align="center">11</td></tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">SNHG14</td>
<td valign="top" align="center">0.770</td>
<td valign="top" align="left">Antisense<sup>&#x2217;</sup></td>
<td valign="top" align="center">15</td></tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">SNORD116-20</td>
<td valign="top" align="center">0.894</td>
<td valign="top" align="left">lincRNA <sup>&#x2217;</sup></td>
<td valign="top" align="center">15</td></tr>
<tr>
<td valign="top" align="left">miR-625-5p</td>
<td valign="top" align="left">CASC7</td>
<td valign="top" align="center">0.900</td>
<td valign="top" align="left">lincRNA</td>
<td valign="top" align="center">8</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">KMT2E-AS1</td>
<td valign="top" align="center">0.834</td>
<td valign="top" align="left">lincRNA</td>
<td valign="top" align="center">7</td></tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">SRRM2-AS1</td>
<td valign="top" align="center">0.794</td>
<td valign="top" align="left">Antisense</td>
<td valign="top" align="center">16</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">CTD-2619J13.14</td>
<td valign="top" align="center">0.769</td>
<td valign="top" align="left">lincRNA</td>
<td valign="top" align="center">19</td></tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">XLOC_012097</td>
<td valign="top" align="center">0.752</td>
<td valign="top" align="left">Transcript isomorph</td>
<td valign="top" align="center">17</td>
</tr>
<tr>
<td valign="top" align="left">miR-628-5p</td>
<td valign="top" align="left">OIP5-AS1</td>
<td valign="top" align="center">0.769</td>
<td valign="top" align="left">Antisense<sup>&#x2217;</sup></td>
<td valign="top" align="center">15</td></tr>
</tbody>
</table>
<table-wrap-foot>
<attrib><italic>Diana-LncBase prediction of miRNA-lncRNA interactions. <sup>&#x2217;</sup>Indicates lncRNAs annotated as circRNA in the database circBase (<ext-link ext-link-type="uri" xlink:href="http://www.circbase.org">www.circbase.org</ext-link>).</italic></attrib>
</table-wrap-foot>
</table-wrap>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption><p><bold>ncRNA network in human MII oocytes.</bold> The Network, drawn by NPInter v3.0, shows the interaction among lncRNAs and miRNAs involved in stemness, RNA maturation and epigenetics.</p></caption>
<graphic xlink:href="fgene-08-00057-g004.tif"/>
</fig>
</sec>
</sec>
<sec><title>Discussion</title>
<p>Regulatory non-coding RNAs (ncRNAs) control different points of gene expression including chromatin architecture, epigenetics, transcription, RNA splicing, editing, translation and turnover. They are involved in every physiological process and consequently their sequences or expression alterations cause or contribute to different human diseases (<xref ref-type="bibr" rid="B1">Bartel, 2004</xref>; <xref ref-type="bibr" rid="B9">Croce, 2009</xref>; <xref ref-type="bibr" rid="B17">Fu, 2014</xref>). RNA regulatory networks include miRNAs, other classes of small regulatory RNAs and thousands of longer transcripts, named long non-coding RNAs that can be categorized in sense, antisense, bidirectional, intronic, and intergenic transcripts. Surely, the miRNA world is becoming increasingly well known to researchers, but for lncRNAs most of their functions are unknown, even if different papers have demonstrated their role in cell physiology and human pathologies. Their presence in biological fluids, as well as their expression profiles associated with specific human phenotypes, open up the possibility of using them, especially miRNAs, as molecular markers of human diseases (<xref ref-type="bibr" rid="B54">Weber et al., 2010</xref>; <xref ref-type="bibr" rid="B8">Cortez et al., 2011</xref>). Moreover, their presence in EVs, identifying miRNAs as molecular tools of communication among different cells, gives the possibility to plan specific and individualized therapies (<xref ref-type="bibr" rid="B8">Cortez et al., 2011</xref>; <xref ref-type="bibr" rid="B26">Kosaka et al., 2013</xref>; <xref ref-type="bibr" rid="B35">Matsui and Corey, 2016</xref>).</p>
<p>In reproductive biology, throughout the last decade, the role of miRNAs emerged in an important way and different studies attempted to associate specific miRNA expression profiles to oocyte quality, in granulose and cumulus cells and in FF (<xref ref-type="bibr" rid="B31">Li et al., 2015</xref>; <xref ref-type="bibr" rid="B36">McGinnis et al., 2015</xref>). Hence, great efforts were made to find promising molecular markers, in order to select the best oocytes to use in In Vitro Fertilization protocols and provide possible therapies to improve oocytes quality (<xref ref-type="bibr" rid="B31">Li et al., 2015</xref>; <xref ref-type="bibr" rid="B36">McGinnis et al., 2015</xref>).</p>
<p>Unfortunately, the ovarian follicle constitutes, to date, a difficult model to study for different reasons. It is made up of different cell types and represents the functional unit that ensures proper oocyte maturation by processes that begin during the embryonic stage and continue during a woman&#x2019;s life until ovulation (<xref ref-type="bibr" rid="B22">Hutt and Albertini, 2007</xref>). The mature ovarian follicle and ovulation represent the results of different molecular processes prolonged in time and influenced by genetic background, environment and a woman&#x2019;s life style. To analyze the single components of this complex unit, at the final stage, (MII oocyte, granulosa or cumulus cells, FF) does not provide all the information we need to fully understand the oogenesis and associate specific markers to specific phenotypes. Moreover, in humans, it is not possible to perform functional studies because of ethical limits.</p>
<p>The aim of this paper was to investigate the role of miRNAs and lncRNAs in human ovarian follicles, trying to establish, as far as possible, their potential role within the different components of the follicle.</p>
<p>Firstly, we identified 285 miRNAs inside human ovarian follicles (<bold>Figure <xref ref-type="fig" rid="F1">1</xref></bold>). Interestingly, about 39% of their validated targets are expressed in different cellular components of the ovarian follicle; they are abundant in oocytes (54.2%) and predominantly involved in oocyte maturation (29.71%). 118 miRNAs (more than 40%) were shared by FF and the mature MII oocyte, while FF-miRNAs fraction was larger than the miRNAs exclusively found in oocytes. We propose that the 158 miRNAs absent in MII oocytes and exclusively present in FF have been transcribed by somatic follicular cells. Subsequently secreted in FF, these miRNAs could act as paracrine factors for the different somatic cells and regulate follicular growth. As expected, 82% of FF-miRNAs have been described in exosomes, in fact, according to previous studies, specific miRNAs are preferentially sorted into vesicles (<xref ref-type="bibr" rid="B2">Batagov et al., 2011</xref>). On the other hand the 9 miRNAs, absent in FF and exclusively present in the oocyte (O-miRNAs), could represent maternal RNAs, that the germ cells accumulate during their differentiation. In fact, during its growth the oocyte transcribes and stores mRNAs, miRNAs and probably long non-coding RNAs to use them during the first phase of development, before the activation of the embryo genome (<xref ref-type="bibr" rid="B49">Schier, 2007</xref>). Interestingly, we found miR-515-5p, miR-519c-3p, miR-520d-5p, miR-548a-3p, and miR-548c-3p specifically expressed in oocytes, and according to ExoCarta, these have not been found incorporated in exosome vesicles. Moreover, miR-515-5p, miR-519c-3p and miR-520d-5p, members of C19MC, which is a primate-specific cluster, seem to have a role in early embryo development during maternal-zygotic transition, when zygotic transcription starts and maternal mRNAs are degraded (<xref ref-type="bibr" rid="B13">Donker et al., 2012</xref>; <xref ref-type="bibr" rid="B3">Battaglia et al., 2016</xref>). Go analysis showed that development processes, regulation of cell cycle, signal transduction, and cell death represent BPs shared by oocytes and somatic follicular cells. In the same way, the p53 pathway is significant in both cell types. This confirmed our knowledge about the processes involved in oocyte maturation and carried out by both compartments (<xref ref-type="bibr" rid="B22">Hutt and Albertini, 2007</xref>). Apoptosis has been amply described in the mammalian ovary (<xref ref-type="bibr" rid="B52">Tilly, 2001</xref>). Cell death by apoptosis affects about 99% of primordial follicles present at birth in mammalian ovaries (<xref ref-type="bibr" rid="B53">Tiwari et al., 2015</xref>). The production of the mature oocyte ready for fertilization is a highly selective process: only a few follicles in the human ovary survive to complete their growth, only fully competent oocytes will be ovulated and only an embryo without major genetic alterations will be capable of uterine implantation. Apoptosis of granulosa cells reduces the number of recruited follicles and apoptotic machinery in MII oocytes selects viable embryos (<xref ref-type="bibr" rid="B52">Tilly, 2001</xref>; <xref ref-type="bibr" rid="B48">Santonocito et al., 2014</xref>). Interestingly, we found different BPs involved in the response to exogenous stimuli, significant only for O-miRNAs (<bold>Figure <xref ref-type="fig" rid="F2">2C</xref></bold>). Among the different cells of the ovarian follicle the germ cell is unique: it must be able to respond and react to external stimuli more efficiently than somatic cells. It has been described that the maturing oocyte and early embryo are quite sensitive to exogenous stresses. Oocytes and early embryos can undergo physiological adaptations to environmental perturbations; these adaptations could influence the embryo genome signature involving epigenetic modification (<xref ref-type="bibr" rid="B27">Latham, 2015</xref>).</p>
<p>As concerns the 118 shared miRNAs, not being able to pinpoint the cells producing them, we can assert that these miRNAs could mediate the communication between the oocyte and somatic cells. Eleven of them, more abundant in oocytes, could have been transcribed by germ cells and used as signaling for cumulus and granulose cells. This hypothesis is supported by the finding that miR-518d-3p, miR-518f-3p, and miR-523-3p, up-regulated in oocytes, are members of the C19MC cluster, in the same way of some O-miRNAs. These miRNAs could be transcribed together, some of them stored in oocytes, others packaged in vesicles and secreted in FF. A similar consideration can be made for miR-372 (up-regulated in oocytes) and miR-371 (O-miRNA). On the contrary, the miRNAs up-regulated in FF, especially let-7b-5p, miR-15b-5p, miR-24-3p, miR-130b-3p, miR-146b-5p, miR-212-3p, miR-222-3p, miR-223-3p, miR-339-3p and miR-483-5p, with fold change values higher than 100-fold, could be transcribed in somatic follicular cells and move to oocytes by means of exosomes. Enrichment analysis of validated target genes of Common-miRNAs showed a strong correlation with the maintenance of the primordial follicle quiescent stage, oocyte maturation, oocyte meiosis, development, cancer and stem cell related pathways. Moreover, a high representation of apoptosis signaling pathway, hypoxia response via HIF activation and oxidative stress response have been detected (<bold>Figure <xref ref-type="fig" rid="F3">3C</xref></bold>).</p>
<p>To understand miRNA-mediated gene regulation, we investigated if other classes of non-coding RNAs play a role inside the ovarian follicle. LncRNAs can act as miRNA sponges, reducing their regulatory effect on mRNAs introducing an extra layer of complexity in the miRNA-target interaction network (<xref ref-type="bibr" rid="B38">Paraskevopoulou and Hatzigeorgiou, 2016</xref>). Moreover, the important role of lncRNAs in chromatin remodeling is well known, as well as the importance of this process in oocyte maturation, when, before meiosis resumption, transcriptional silencing is mediated, over all, by mechanisms involved in large-scale chromatin structure changes. The cellular and molecular pathways involved in these processes are today poorly understood and lncRNAs could play a major role (<xref ref-type="bibr" rid="B10">De La Fuente et al., 2004</xref>). Recently, lncRNAs were identified in granulosa and cumulus cells, oocytes and early embryos, and their role in oocyte and early embryo development has been suggested (<xref ref-type="bibr" rid="B57">Yan et al., 2013</xref>; <xref ref-type="bibr" rid="B58">Yerushalmi et al., 2014</xref>; <xref ref-type="bibr" rid="B20">Hamazaki et al., 2015</xref>; <xref ref-type="bibr" rid="B56">Xu et al., 2015</xref>). A comprehensive review on lncRNA functions in mammalian and in different species has been recently published (<xref ref-type="bibr" rid="B51">Taylor et al., 2015</xref>).</p>
<p>By using bioinformatic prediction we found 41 lncRNAs significantly correlated with 9 oocyte miRNAs (<bold>Table <xref ref-type="table" rid="T1">1</xref></bold>). Most of them are expressed in embryonic cells, in the ovary or in the placenta and are involved in several human pathologies. NEAT1 was found exclusively localized in paraspeckles and is a core component of these nuclear bodies involved in nuclear retention of mRNAs (<xref ref-type="bibr" rid="B4">Bond and Fox, 2009</xref>). Moreover, NEAT1 seems to be essential for the formation of the corpus luteum and the establishment of pregnancy in mice, although its precise molecular mechanism remains to be investigated (<xref ref-type="bibr" rid="B37">Nakagawa et al., 2014</xref>). Recently, increased levels of NEAT1 was found associated with placental dysfunction in Idiopathic Intrauterine Growth Restriction (IUGR) fetuses (<xref ref-type="bibr" rid="B19">Gremlich et al., 2014</xref>). Another lincRNA that was found to reside predominantly in the nucleus is the Metastasis associated lung adenocarcinoma transcript-1 (MALAT-1) that localizes to nuclear bodies known as nuclear <italic>speckles</italic> involved in pre-mRNA splicing (<xref ref-type="bibr" rid="B29">Lennox and Behlke, 2016</xref>). MALAT-1 down-regulation was described to impair proliferation, cell cycle, apoptosis, and migration of trophoblast cells involved in the preeclampsia (<xref ref-type="bibr" rid="B7">Chen et al., 2015</xref>). Another human lincRNA, the non-coding RNA activated by DNA damage (NORAD) is induced after DNA damage in a p53-dependent manner and plays a crucial role in maintaining genomic stability by sequestering PUMILIO proteins, which repress the stability and translation of mRNAs to which they bind (<xref ref-type="bibr" rid="B28">Lee et al., 2016</xref>). In view of the location and the function of these 3 lncRNAs in regulation of mRNA stability and translation, we suppose that in oocytes these could stabilize maternal RNAs, allowing their storage and use during early development, before the activation of embryo genome, as it has been described for cytoplasmic polyadenylation (<xref ref-type="bibr" rid="B45">Reyes and Ross, 2016</xref>). Not surprisingly, we found the X-inactive specific transcript (XIST) and the growth arrest specific 5 (GAS5), two lncRNAs involved in embryogenesis. It has been demonstrated that many aspects of embryogenesis seem to be controlled by ncRNAs, including the maternal&#x2013;zygotic transition, the maintenance of pluripotency, the patterning of the body axes, the specification and differentiation of cell types and the morphogenesis of organs (<xref ref-type="bibr" rid="B40">Pauli et al., 2011</xref>). XIST, responsible for the mammalian X chromosome inactivation, is the first lncRNA expressed starting at the 4-cell stage of human preimplantation embryos, consistent with embryonic genome activation, and iPSC reprogramming (<xref ref-type="bibr" rid="B5">Briggs et al., 2015</xref>).</p>
<p>Encoded within introns GAS5 increases OCT4, NANOG and SOX2 by Nodal regulation and is directly regulated by these stemness factors in hESCs forming a circuit that promotes pluripotency (<xref ref-type="bibr" rid="B55">Xu et al., 2016</xref>). OIP5-AS1 is an antisense transcript of the Opa interacting protein 5 (OIP5) gene. The protein encoded by this gene localizes to centromeres, where it is essential for recruitment of CENP-A and it is required for centromeric heterochromatin organization. Expression of this gene is upregulated in several cancers, making it a putative therapeutic target.</p>
<p>Recently, a new regulatory circuitry in which RNAs can crosstalk with each other and modulate the biological function of miRNAs has been proposed (<xref ref-type="bibr" rid="B6">Cesana et al., 2011</xref>). LncRNAs that localize primarily in the nucleus (e.g., XIST, NEAT1, MALAT-1) have been described to physically interact with mature miRNAs (<xref ref-type="bibr" rid="B30">Leucci et al., 2013</xref>; <xref ref-type="bibr" rid="B18">Gernapudi et al., 2015</xref>; <xref ref-type="bibr" rid="B59">Yu et al., 2017</xref>). Several observations have shown the presence of mature miRNAs in the nucleus (<xref ref-type="bibr" rid="B23">Hwang et al., 2007</xref>; <xref ref-type="bibr" rid="B42">Rasko and Wong, 2017</xref>). In facts, miRNAs can be transported from the cytoplasm to the nucleus and act in an unconventional manner to regulate the biogenesis and functions of ncRNAs (<xref ref-type="bibr" rid="B32">Liang et al., 2013</xref>).</p>
<p>Among the identified lncRNAs in oocytes, NEAT1, MALAT-1, GAS5, XIST and OIP5-AS1 have been predicted as components of the same network (<bold>Figure <xref ref-type="fig" rid="F4">4</xref></bold>). Even if the mechanisms of most of these lncRNAs remain unknown, and it remains to be seen whether they can function within human ovarian follicle, these putative interactions lead us to hypothesize a possible role inside the female human germ cell.</p>
</sec>
<sec><title>Conclusion</title>
<p>Understanding the regulation of gene expression inside the ovarian follicle is important in basic reproductive research and could also be useful for clinical applications. In fact, the characterization of non-coding RNAs in ovarian follicles could improve reproductive disease diagnosis, provide biomarkers of oocyte quality in Assisted Reproductive Treatment, and develop therapies for infertility disorders.</p>
</sec>
<sec><title>Author Contributions</title>
<p>CDP conceived and designed the study. RB performed the experiments. CDP and RB analyzed, interpreted the data and wrote the manuscript. DA contributed to experiments and the bioinformatics analysis. MV and PB participated in sample collection. MR and DB contributed to the analysis of data. MP contributed to the critical revision of the manuscript.</p>
</sec>
<sec><title>Conflict of Interest Statement</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
</body>
<back>
<fn-group>
<fn fn-type="financial-disclosure">
<p><bold>Funding.</bold> This work was partially supported by Bio-Nanotech Research and Innovation Tower grant BRIT PONa3_00136, University of Catania.</p></fn>
</fn-group>
<ack>
<p>The authors thank the Scientific Bureau of the University of Catania for language support.</p>
</ack>
<sec sec-type="supplementary material">
<title>Supplementary Material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="http://journal.frontiersin.org/article/10.3389/fgene.2017.00057/full#supplementary-material">http://journal.frontiersin.org/article/10.3389/fgene.2017.00057/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Table_1.XLSX" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet" xmlns:xlink="http://www.w3.org/1999/xlink">
<label>TABLE S1</label>
<caption><p><bold>Differentially expressed (DE) miRNAs from qRT-PCR comparative analysis between human follicular fluid (hFF) and human mature MII oocytes</bold>.</p></caption>
</supplementary-material>
<supplementary-material xlink:href="Table_1.XLSX" id="SM2" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
<ref-list>
<title>References</title>
<ref id="B1"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Bartel</surname> <given-names>D. P.</given-names></name></person-group> (<year>2004</year>). <article-title>MicroRNAs: genomics, biogenesis, mechanism, and function.</article-title> <source><italic>Cell</italic></source> <volume>116</volume> <fpage>281</fpage>&#x2013;<lpage>297</lpage>.</citation></ref>
<ref id="B2"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Batagov</surname> <given-names>A. O.</given-names></name> <name><surname>Kuznetsov</surname> <given-names>V. A.</given-names></name> <name><surname>Kurochkin</surname> <given-names>I. V.</given-names></name></person-group> (<year>2011</year>). <article-title>Identification of nucleotide patterns enriched in secreted RNAs as putative cis-acting elements targeting them to exosome nano-vesicles.</article-title> <source><italic>BMC Genomics</italic></source> <volume>12(Suppl. 3)</volume>:<issue>S18</issue>. <pub-id pub-id-type="doi">10.1186/1471-2164-12-S3-S18</pub-id></citation></ref>
<ref id="B3"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Battaglia</surname> <given-names>R.</given-names></name> <name><surname>Vento</surname> <given-names>M. E.</given-names></name> <name><surname>Ragusa</surname> <given-names>M.</given-names></name> <name><surname>Barbagallo</surname> <given-names>D.</given-names></name> <name><surname>La Ferlita</surname> <given-names>A.</given-names></name> <name><surname>Di Emidio</surname> <given-names>G.</given-names></name><etal/></person-group> (<year>2016</year>). <article-title>MicroRNAs are stored in human MII oocyte and their expression profile changes in reproductive aging.</article-title> <source><italic>Biol. Reprod.</italic></source> <volume>95</volume> <fpage>1</fpage>&#x2013;<lpage>13</lpage>. <pub-id pub-id-type="doi">10.1095/biolreprod.116.142711</pub-id></citation></ref>
<ref id="B4"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Bond</surname> <given-names>C. S.</given-names></name> <name><surname>Fox</surname> <given-names>A. H.</given-names></name></person-group> (<year>2009</year>). <article-title>Paraspeckles: nuclear bodies built on long noncoding RNA.</article-title> <source><italic>J. Cell Biol.</italic></source> <volume>186</volume> <fpage>637</fpage>&#x2013;<lpage>644</lpage>. <pub-id pub-id-type="doi">10.1083/jcb.200906113</pub-id></citation></ref>
<ref id="B5"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Briggs</surname> <given-names>S. F.</given-names></name> <name><surname>Dominguez</surname> <given-names>A. A.</given-names></name> <name><surname>Chavez</surname> <given-names>S. L.</given-names></name> <name><surname>Reijo Pera</surname> <given-names>R. A.</given-names></name></person-group> (<year>2015</year>). <article-title>Single-cell XIST expression in human preimplantation embryos and newly reprogrammed female induced pluripotent stem cells.</article-title> <source><italic>Stem Cells</italic></source> <volume>33</volume> <fpage>1771</fpage>&#x2013;<lpage>1781</lpage>. <pub-id pub-id-type="doi">10.1002/stem.1992</pub-id></citation></ref>
<ref id="B6"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Cesana</surname> <given-names>M.</given-names></name> <name><surname>Cacchiarelli</surname> <given-names>D.</given-names></name> <name><surname>Legnini</surname> <given-names>I.</given-names></name> <name><surname>Santini</surname> <given-names>T.</given-names></name> <name><surname>Sthandier</surname> <given-names>O.</given-names></name> <name><surname>Chinappi</surname> <given-names>M.</given-names></name><etal/></person-group> (<year>2011</year>). <article-title>A long noncoding RNA controls muscle differentiation by functioning as a competing endogenous RNA.</article-title> <source><italic>Cell</italic></source> <volume>147</volume> <fpage>358</fpage>&#x2013;<lpage>369</lpage>. <pub-id pub-id-type="doi">10.1016/j.cell.2011.09.028</pub-id></citation></ref>
<ref id="B7"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Chen</surname> <given-names>H.</given-names></name> <name><surname>Meng</surname> <given-names>T.</given-names></name> <name><surname>Liu</surname> <given-names>X.</given-names></name> <name><surname>Sun</surname> <given-names>M.</given-names></name> <name><surname>Tong</surname> <given-names>C.</given-names></name> <name><surname>Liu</surname> <given-names>J.</given-names></name><etal/></person-group> (<year>2015</year>). <article-title>Long non-coding RNA MALAT-1 is downregulated in preeclampsia and regulates proliferation, apoptosis, migration and invasion of JEG-3 trophoblast cells.</article-title> <source><italic>Int. J. Clin. Exp. Pathol.</italic></source> <volume>8</volume> <fpage>12718</fpage>&#x2013;<lpage>12727</lpage>.</citation></ref>
<ref id="B8"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Cortez</surname> <given-names>M. A.</given-names></name> <name><surname>Bueso-Ramos</surname> <given-names>C.</given-names></name> <name><surname>Ferdin</surname> <given-names>J.</given-names></name> <name><surname>Lopez-Berestein</surname> <given-names>G.</given-names></name> <name><surname>Sood</surname> <given-names>A. K.</given-names></name> <name><surname>Calin</surname> <given-names>G. A.</given-names></name></person-group> (<year>2011</year>). <article-title>MicroRNAs in body fluids-the mix of hormones and biomarkers.</article-title> <source><italic>Nat. Rev. Clin. Oncol.</italic></source> <volume>8</volume> <fpage>467</fpage>&#x2013;<lpage>477</lpage>. <pub-id pub-id-type="doi">10.1038/nrclinonc.2011.76</pub-id></citation></ref>
<ref id="B9"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Croce</surname> <given-names>C. M.</given-names></name></person-group> (<year>2009</year>). <article-title>Causes and consequences of microRNA dysregulation in cancer.</article-title> <source><italic>Nat. Rev. Genet.</italic></source> <volume>10</volume> <fpage>704</fpage>&#x2013;<lpage>714</lpage>. <pub-id pub-id-type="doi">10.1038/nrg2634</pub-id></citation></ref>
<ref id="B10"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>De La Fuente</surname> <given-names>R.</given-names></name> <name><surname>Viveiros</surname> <given-names>M. M.</given-names></name> <name><surname>Burns</surname> <given-names>K. H.</given-names></name> <name><surname>Adashi</surname> <given-names>E. Y.</given-names></name> <name><surname>Matzuk</surname> <given-names>M. M.</given-names></name> <name><surname>Eppig</surname> <given-names>J. J.</given-names></name></person-group> (<year>2004</year>). <article-title>Major chromatin remodeling in the germinal vesicle (GV) of mammalian oocytes is dispensable for global transcriptional silencing but required for centromeric heterochromatin function.</article-title> <source><italic>Dev. Biol.</italic></source> <volume>275</volume> <fpage>447</fpage>&#x2013;<lpage>458</lpage>.</citation></ref>
<ref id="B11"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Di Pietro</surname> <given-names>C.</given-names></name></person-group> (<year>2016</year>). <article-title>Exosome-mediated communication in the ovarian follicle.</article-title> <source><italic>J. Assist. Reprod. Genet.</italic></source> <volume>33</volume> <fpage>303</fpage>&#x2013;<lpage>311</lpage>. <pub-id pub-id-type="doi">10.1007/s10815-016-0657-9</pub-id></citation></ref>
<ref id="B12"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Di Pietro</surname> <given-names>C.</given-names></name> <name><surname>Vento</surname> <given-names>M.</given-names></name> <name><surname>Ragusa</surname> <given-names>M.</given-names></name> <name><surname>Barbagallo</surname> <given-names>D.</given-names></name> <name><surname>Guglielmino</surname> <given-names>M. R.</given-names></name> <name><surname>Maniscalchi</surname> <given-names>T.</given-names></name><etal/></person-group> (<year>2008</year>). <article-title>Expression analysis of TFIID in single human oocytes: new potential molecular markers of oocyte quality.</article-title> <source><italic>Reprod. Biomed. Online</italic></source> <volume>17</volume> <fpage>338</fpage>&#x2013;<lpage>349</lpage>.</citation></ref>
<ref id="B13"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Donker</surname> <given-names>R. B.</given-names></name> <name><surname>Mouillet</surname> <given-names>J. F.</given-names></name> <name><surname>Chu</surname> <given-names>T.</given-names></name> <name><surname>Hubel</surname> <given-names>C. A.</given-names></name> <name><surname>Stolz</surname> <given-names>D. B.</given-names></name> <name><surname>Morelli</surname> <given-names>A. E.</given-names></name><etal/></person-group> (<year>2012</year>). <article-title>The expression profile of C19MC microRNAs in primary human trophoblast cells and exosomes.</article-title> <source><italic>Mol. Hum. Reprod.</italic></source> <volume>18</volume> <fpage>417</fpage>&#x2013;<lpage>424</lpage>. <pub-id pub-id-type="doi">10.1093/molehr/gas013</pub-id></citation></ref>
<ref id="B14"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Edgar</surname> <given-names>R.</given-names></name> <name><surname>Domrachev</surname> <given-names>M.</given-names></name> <name><surname>Lash</surname> <given-names>A. E.</given-names></name></person-group> (<year>2002</year>). <article-title>Gene expression omnibus: NCBI gene expression and hybridization array data repository.</article-title> <source><italic>Nucleic Acids Res.</italic></source> <volume>30</volume> <fpage>207</fpage>&#x2013;<lpage>210</lpage>.</citation></ref>
<ref id="B15"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>El Mouatassim</surname> <given-names>S.</given-names></name> <name><surname>Gu&#x00E9;rin</surname> <given-names>P.</given-names></name> <name><surname>M&#x00E9;n&#x00E9;zo</surname> <given-names>Y.</given-names></name></person-group> (<year>1999</year>). <article-title>Expression of genes encoding antioxidant enzymes in human and mouse oocytes during the final stages of maturation.</article-title> <source><italic>Mol. Hum. Reprod.</italic></source> <volume>5</volume> <fpage>720</fpage>&#x2013;<lpage>725</lpage>.</citation></ref>
<ref id="B16"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Fendler</surname> <given-names>W.</given-names></name> <name><surname>Malachowska</surname> <given-names>B.</given-names></name> <name><surname>Meghani</surname> <given-names>K.</given-names></name> <name><surname>Konstantinopoulos</surname> <given-names>P. A.</given-names></name> <name><surname>Guha</surname> <given-names>C.</given-names></name> <name><surname>Singh</surname> <given-names>V. K.</given-names></name><etal/></person-group> (<year>2017</year>). <article-title>Evolutionarily conserved serum microRNAs predict radiation-induced fatality in nonhuman primates.</article-title> <source><italic>Sci. Transl. Med.</italic></source> <volume>9</volume>:<issue>eaal2408</issue>. <pub-id pub-id-type="doi">10.1126/scitranslmed.aal2408</pub-id></citation></ref>
<ref id="B17"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Fu</surname> <given-names>X. D.</given-names></name></person-group> (<year>2014</year>). <article-title>Non-coding RNA: a new frontier in regulatory biology.</article-title> <source><italic>Natl. Sci. Rev.</italic></source> <volume>1</volume> <fpage>190</fpage>&#x2013;<lpage>204</lpage>.</citation></ref>
<ref id="B18"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Gernapudi</surname> <given-names>R.</given-names></name> <name><surname>Wolfson</surname> <given-names>B.</given-names></name> <name><surname>Zhang</surname> <given-names>Y.</given-names></name> <name><surname>Yao</surname> <given-names>Y.</given-names></name> <name><surname>Yang</surname> <given-names>P.</given-names></name> <name><surname>Asahara</surname> <given-names>H.</given-names></name><etal/></person-group> (<year>2015</year>). <article-title>MicroRNA 140 promotes expression of long noncoding RNA NEAT1 in adipogenesis.</article-title> <source><italic>Mol. Cell. Biol.</italic></source> <volume>36</volume> <fpage>30</fpage>&#x2013;<lpage>38</lpage>. <pub-id pub-id-type="doi">10.1128/MCB.00702-15</pub-id></citation></ref>
<ref id="B19"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Gremlich</surname> <given-names>S.</given-names></name> <name><surname>Damnon</surname> <given-names>F.</given-names></name> <name><surname>Reymondin</surname> <given-names>D.</given-names></name> <name><surname>Braissant</surname> <given-names>O.</given-names></name> <name><surname>Schittny</surname> <given-names>J. C.</given-names></name> <name><surname>Baud</surname> <given-names>D.</given-names></name><etal/></person-group> (<year>2014</year>). <article-title>The long non-coding RNA NEAT1 is increased in IUGR placentas, leading to potential new hypotheses of IUGR origin/development.</article-title> <source><italic>Placenta</italic></source> <volume>35</volume> <fpage>44</fpage>&#x2013;<lpage>49</lpage>. <pub-id pub-id-type="doi">10.1016/j.placenta.2013.11.003</pub-id></citation></ref>
<ref id="B20"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hamazaki</surname> <given-names>N.</given-names></name> <name><surname>Uesaka</surname> <given-names>M.</given-names></name> <name><surname>Nakashima</surname> <given-names>K.</given-names></name> <name><surname>Agata</surname> <given-names>K.</given-names></name> <name><surname>Imamura</surname> <given-names>T.</given-names></name></person-group> (<year>2015</year>). <article-title>Gene activation-associated long noncoding RNAs function in mouse preimplantation development.</article-title> <source><italic>Development</italic></source> <volume>142</volume> <fpage>910</fpage>&#x2013;<lpage>920</lpage>. <pub-id pub-id-type="doi">10.1242/dev.116996</pub-id></citation></ref>
<ref id="B21"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hart</surname> <given-names>R. J.</given-names></name></person-group> (<year>2016</year>). <article-title>Physiological aspects of female fertility: role of the environment, modern lifestyle, and genetics.</article-title> <source><italic>Physiol. Rev.</italic></source> <volume>96</volume> <fpage>873</fpage>&#x2013;<lpage>909</lpage>. <pub-id pub-id-type="doi">10.1152/physrev.00023.2015</pub-id></citation></ref>
<ref id="B22"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hutt</surname> <given-names>K. J.</given-names></name> <name><surname>Albertini</surname> <given-names>D. F.</given-names></name></person-group> (<year>2007</year>). <article-title>An oocentric view of folliculogenesis and embryogenesis.</article-title> <source><italic>Reprod. Biomed. Online</italic></source> <volume>14</volume> <fpage>758</fpage>&#x2013;<lpage>764</lpage>.</citation></ref>
<ref id="B23"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hwang</surname> <given-names>H. W.</given-names></name> <name><surname>Wentzel</surname> <given-names>E. A.</given-names></name> <name><surname>Mendell</surname> <given-names>J. T.</given-names></name></person-group> (<year>2007</year>). <article-title>A hexanucleotide element directs microRNA nuclear import.</article-title> <source><italic>Science</italic></source> <volume>315</volume> <fpage>97</fpage>&#x2013;<lpage>100</lpage>. <pub-id pub-id-type="doi">10.1126/science.1136235</pub-id></citation></ref>
<ref id="B24"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Inhorn</surname> <given-names>M. C.</given-names></name> <name><surname>Patrizio</surname> <given-names>P.</given-names></name></person-group> (<year>2015</year>). <article-title>Infertility around the globe: new thinking on gender, reproductive technologies and global movements in the 21st century.</article-title> <source><italic>Hum. Reprod. Update</italic></source> <volume>21</volume> <fpage>411</fpage>&#x2013;<lpage>426</lpage>. <pub-id pub-id-type="doi">10.1093/humupd/dmv016</pub-id></citation></ref>
<ref id="B25"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Koot</surname> <given-names>Y. E.</given-names></name> <name><surname>Macklon</surname> <given-names>N. S.</given-names></name></person-group> (<year>2013</year>). <article-title>Embryo implantation: biology, evaluation, and enhancement.</article-title> <source><italic>Curr. Opin. Obstet. Gynecol.</italic></source> <volume>25</volume> <fpage>274</fpage>&#x2013;<lpage>279</lpage>. <pub-id pub-id-type="doi">10.1097/GCO.0b013e3283630d94</pub-id></citation></ref>
<ref id="B26"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kosaka</surname> <given-names>N.</given-names></name> <name><surname>Yoshioka</surname> <given-names>Y.</given-names></name> <name><surname>Hagiwara</surname> <given-names>K.</given-names></name> <name><surname>Tominaga</surname> <given-names>N.</given-names></name> <name><surname>Katsuda</surname> <given-names>T.</given-names></name> <name><surname>Ochiya</surname> <given-names>T.</given-names></name></person-group> (<year>2013</year>). <article-title>Trash or treasure: extracellular microRNAs and cell-to cell communication.</article-title> <source><italic>Front. Genet.</italic></source> <volume>4</volume>:<issue>173</issue>. <pub-id pub-id-type="doi">10.3389/fgene.2013.00173</pub-id></citation></ref>
<ref id="B27"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Latham</surname> <given-names>K. E.</given-names></name></person-group> (<year>2015</year>). <article-title>Endoplasmic reticulum stress signaling in mammalian oocytes and embryos: life in balance.</article-title> <source><italic>Int. Rev. Cell Mol. Biol.</italic></source> <volume>316</volume> <fpage>227</fpage>&#x2013;<lpage>265</lpage>. <pub-id pub-id-type="doi">10.1016/bs.ircmb.2015.01.005</pub-id></citation></ref>
<ref id="B28"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Lee</surname> <given-names>S.</given-names></name> <name><surname>Kopp</surname> <given-names>F.</given-names></name> <name><surname>Chang</surname> <given-names>T. C.</given-names></name> <name><surname>Sataluri</surname> <given-names>A.</given-names></name> <name><surname>Chen</surname> <given-names>B.</given-names></name> <name><surname>Sivakumar</surname> <given-names>S.</given-names></name><etal/></person-group> (<year>2016</year>). <article-title>Noncoding RNA NORAD regulates genomic stability by sequestering PUMILIO proteins.</article-title> <source><italic>Cell</italic></source> <volume>164</volume> <fpage>69</fpage>&#x2013;<lpage>80</lpage>. <pub-id pub-id-type="doi">10.1016/j.cell.2015.12.017</pub-id></citation></ref>
<ref id="B29"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Lennox</surname> <given-names>K. A.</given-names></name> <name><surname>Behlke</surname> <given-names>M. A.</given-names></name></person-group> (<year>2016</year>). <article-title>Cellular localization of long non-coding RNAs affects silencing by RNAi more than by antisense oligonucleotides.</article-title> <source><italic>Nucleic Acids Res.</italic></source> <volume>44</volume> <fpage>863</fpage>&#x2013;<lpage>877</lpage>. <pub-id pub-id-type="doi">10.1093/nar/gkv1206</pub-id></citation></ref>
<ref id="B30"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Leucci</surname> <given-names>E.</given-names></name> <name><surname>Patella</surname> <given-names>F.</given-names></name> <name><surname>Waage</surname> <given-names>J.</given-names></name> <name><surname>Holmstr&#x00F8;m</surname> <given-names>K.</given-names></name> <name><surname>Lindow</surname> <given-names>M.</given-names></name> <name><surname>Porse</surname> <given-names>B.</given-names></name><etal/></person-group> (<year>2013</year>). <article-title>microRNA-9 targets the long non-coding RNA MALAT1 for degradation in the nucleus.</article-title> <source><italic>Sci. Rep.</italic></source> <volume>3</volume>:<issue>2535</issue>. <pub-id pub-id-type="doi">10.1038/srep02535</pub-id></citation></ref>
<ref id="B31"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Li</surname> <given-names>Y.</given-names></name> <name><surname>Fang</surname> <given-names>Y.</given-names></name> <name><surname>Liu</surname> <given-names>Y.</given-names></name> <name><surname>Yang</surname> <given-names>X.</given-names></name></person-group> (<year>2015</year>). <article-title>MicroRNAs in ovarian function and disorders.</article-title> <source><italic>J. Ovarian Res.</italic></source> <volume>8</volume> <issue>51</issue>. <pub-id pub-id-type="doi">10.1186/s13048-015-0162-2</pub-id></citation></ref>
<ref id="B32"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Liang</surname> <given-names>H.</given-names></name> <name><surname>Zhang</surname> <given-names>J.</given-names></name> <name><surname>Zen</surname> <given-names>K.</given-names></name> <name><surname>Zhang</surname> <given-names>C. Y.</given-names></name> <name><surname>Chen</surname> <given-names>X.</given-names></name></person-group> (<year>2013</year>). <article-title>Nuclear microRNAs and their unconventional role in regulating non-coding RNAs.</article-title> <source><italic>Protein Cell</italic></source> <volume>4</volume> <fpage>325</fpage>&#x2013;<lpage>330</lpage>. <pub-id pub-id-type="doi">10.1007/s13238-013-3001-5</pub-id></citation></ref>
<ref id="B33"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Livak</surname> <given-names>K. J.</given-names></name> <name><surname>Schmittgen</surname> <given-names>T. D.</given-names></name></person-group> (<year>2001</year>). <article-title>Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) Method.</article-title> <source><italic>Methods</italic></source> <volume>25</volume> <fpage>402</fpage>&#x2013;<lpage>408</lpage>.</citation></ref>
<ref id="B34"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Manolio</surname> <given-names>T. A.</given-names></name> <name><surname>Collins</surname> <given-names>F. S.</given-names></name> <name><surname>Cox</surname> <given-names>N. J.</given-names></name> <name><surname>Goldstein</surname> <given-names>D. B.</given-names></name> <name><surname>Hindorff</surname> <given-names>L. A.</given-names></name> <name><surname>Hunter</surname> <given-names>D. J.</given-names></name><etal/></person-group> (<year>2009</year>). <article-title>Finding the missing heritability of complex diseases.</article-title> <source><italic>Nature</italic></source> <volume>461</volume> <fpage>747</fpage>&#x2013;<lpage>753</lpage>. <pub-id pub-id-type="doi">10.1038/nature08494</pub-id></citation></ref>
<ref id="B35"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Matsui</surname> <given-names>M.</given-names></name> <name><surname>Corey</surname> <given-names>D. R.</given-names></name></person-group> (<year>2016</year>). <article-title>Non-coding RNAs as drug targets.</article-title> <source><italic>Nat. Rev. Drug Discov.</italic></source> <pub-id pub-id-type="doi">10.1038/nrd.2016.117</pub-id> [Epub ahead of print].</citation></ref>
<ref id="B36"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>McGinnis</surname> <given-names>L. K.</given-names></name> <name><surname>Luense</surname> <given-names>L. J.</given-names></name> <name><surname>Christenson</surname> <given-names>L. K.</given-names></name></person-group> (<year>2015</year>). <article-title>MicroRNA in ovarian biology and disease.</article-title> <source><italic>Cold Spring Harb. Perspect. Med.</italic></source> <volume>5</volume>:<issue>a022962</issue>. <pub-id pub-id-type="doi">10.1101/cshperspect.a022962</pub-id></citation></ref>
<ref id="B37"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Nakagawa</surname> <given-names>S.</given-names></name> <name><surname>Shimada</surname> <given-names>M.</given-names></name> <name><surname>Yanaka</surname> <given-names>K.</given-names></name> <name><surname>Mito</surname> <given-names>M.</given-names></name> <name><surname>Arai</surname> <given-names>T.</given-names></name> <name><surname>Takahashi</surname> <given-names>E.</given-names></name><etal/></person-group> (<year>2014</year>). <article-title>The lncRNA Neat1 is required for corpus luteum formation and the establishment of pregnancy in a subpopulation of mice.</article-title> <source><italic>Development</italic></source> <volume>141</volume> <fpage>4618</fpage>&#x2013;<lpage>4627</lpage>. <pub-id pub-id-type="doi">10.1242/dev.110544</pub-id></citation></ref>
<ref id="B38"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Paraskevopoulou</surname> <given-names>M. D.</given-names></name> <name><surname>Hatzigeorgiou</surname> <given-names>A. G.</given-names></name></person-group> (<year>2016</year>). <article-title>Analyzing MiRNA-LncRNA interactions.</article-title> <source><italic>Methods Mol. Biol.</italic></source> <volume>1402</volume> <fpage>271</fpage>&#x2013;<lpage>286</lpage>. <pub-id pub-id-type="doi">10.1007/978-1-4939-3378-5_21</pub-id></citation></ref>
<ref id="B39"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Paraskevopoulou</surname> <given-names>M. D.</given-names></name> <name><surname>Vlachos</surname> <given-names>I. S.</given-names></name> <name><surname>Karagkouni</surname> <given-names>D.</given-names></name> <name><surname>Georgakilas</surname> <given-names>G.</given-names></name> <name><surname>Kanellos</surname> <given-names>I.</given-names></name> <name><surname>Vergoulis</surname> <given-names>T.</given-names></name><etal/></person-group> (<year>2016</year>). <article-title>DIANA-LncBase v2: indexing microRNA targets on non-coding transcripts.</article-title> <source><italic>Nucleic Acids Res.</italic></source> <volume>44</volume> <fpage>D231</fpage>&#x2013;<lpage>D238</lpage>. <pub-id pub-id-type="doi">10.1093/nar/gkv1270</pub-id></citation></ref>
<ref id="B40"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Pauli</surname> <given-names>A.</given-names></name> <name><surname>Rinn</surname> <given-names>J. L.</given-names></name> <name><surname>Schier</surname> <given-names>A. F.</given-names></name></person-group> (<year>2011</year>). <article-title>Non-coding RNAs as regulators of embryogenesis.</article-title> <source><italic>Nat. Rev. Genet.</italic></source> <volume>12</volume> <fpage>136</fpage>&#x2013;<lpage>149</lpage>. <pub-id pub-id-type="doi">10.1038/nrg2904</pub-id></citation></ref>
<ref id="B41"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Ragusa</surname> <given-names>M.</given-names></name> <name><surname>Statello</surname> <given-names>L.</given-names></name> <name><surname>Maugeri</surname> <given-names>M.</given-names></name> <name><surname>Barbagallo</surname> <given-names>C.</given-names></name> <name><surname>Passanisi</surname> <given-names>R.</given-names></name> <name><surname>Alhamdani</surname> <given-names>M. S.</given-names></name><etal/></person-group> (<year>2014</year>). <article-title>Highly skewed distribution of miRNAs and proteins between colorectal cancer cells and their exosomes following Cetuximab treatment: biomolecular, genetic and translational implications.</article-title> <source><italic>Oncoscience</italic></source> <volume>1</volume> <fpage>132</fpage>&#x2013;<lpage>157</lpage>. <pub-id pub-id-type="doi">10.18632/oncoscience.19</pub-id></citation></ref>
<ref id="B42"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Rasko</surname> <given-names>J. E.</given-names></name> <name><surname>Wong</surname> <given-names>J. J.</given-names></name></person-group> (<year>2017</year>). <article-title>Nuclear microRNAs in normal hemopoiesis and cancer.</article-title> <source><italic>J. Hematol. Oncol.</italic></source> <volume>10</volume> <issue>8</issue>. <pub-id pub-id-type="doi">10.1186/s13045-016-0375-x</pub-id></citation></ref>
<ref id="B43"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Reddy</surname> <given-names>P.</given-names></name> <name><surname>Zheng</surname> <given-names>W.</given-names></name> <name><surname>Liu</surname> <given-names>K.</given-names></name></person-group> (<year>2010</year>). <article-title>Mechanisms maintaining the dormancy and survival of mammalian primordial follicles.</article-title> <source><italic>Trends Endocrinol. Metab.</italic></source> <volume>21</volume> <fpage>96</fpage>&#x2013;<lpage>103</lpage>. <pub-id pub-id-type="doi">10.1016/j.tem.2009.10.001</pub-id></citation></ref>
<ref id="B44"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Revelli</surname> <given-names>A.</given-names></name> <name><surname>Delle Piane</surname> <given-names>L.</given-names></name> <name><surname>Casano</surname> <given-names>S.</given-names></name> <name><surname>Molinari</surname> <given-names>E.</given-names></name> <name><surname>Massobrio</surname> <given-names>M.</given-names></name> <name><surname>Rinaudo</surname> <given-names>P.</given-names></name></person-group> (<year>2009</year>). <article-title>Follicular fluid content and oocyte quality: from single biochemical markers to metabolomics.</article-title> <source><italic>Reprod. Biol. Endocrinol.</italic></source> <volume>7</volume>:<issue>40</issue>. <pub-id pub-id-type="doi">10.1186/1477-7827-7-40</pub-id></citation></ref>
<ref id="B45"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Reyes</surname> <given-names>J. M.</given-names></name> <name><surname>Ross</surname> <given-names>P. J.</given-names></name></person-group> (<year>2016</year>). <article-title>Cytoplasmic polyadenylation in mammalian oocyte maturation.</article-title> <source><italic>Wiley Interdiscip. Rev. RNA</italic></source> <volume>7</volume> <fpage>71</fpage>&#x2013;<lpage>89</lpage>. <pub-id pub-id-type="doi">10.1002/wrna.1316</pub-id></citation></ref>
<ref id="B46"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Rodgers</surname> <given-names>R. J.</given-names></name> <name><surname>Irving-Rodgers</surname> <given-names>H. F.</given-names></name></person-group> (<year>2010</year>). <article-title>Formation of the ovarian follicular antrum and follicular fluid.</article-title> <source><italic>Biol. Reprod.</italic></source> <volume>82</volume> <fpage>1021</fpage>&#x2013;<lpage>1029</lpage>. <pub-id pub-id-type="doi">10.1095/biolreprod.109.082941</pub-id></citation></ref>
<ref id="B47"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Russell</surname> <given-names>D. L.</given-names></name> <name><surname>Robker</surname> <given-names>R. L.</given-names></name></person-group> (<year>2007</year>). <article-title>Molecular mechanisms of ovulation: coordination through the cumulus complex.</article-title> <source><italic>Hum. Reprod. Update</italic></source> <volume>13</volume> <fpage>289</fpage>&#x2013;<lpage>312</lpage>.</citation></ref>
<ref id="B48"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Santonocito</surname> <given-names>M.</given-names></name> <name><surname>Vento</surname> <given-names>M.</given-names></name> <name><surname>Guglielmino</surname> <given-names>M. R.</given-names></name> <name><surname>Battaglia</surname> <given-names>R.</given-names></name> <name><surname>Wahlgren</surname> <given-names>J.</given-names></name> <name><surname>Ragusa</surname> <given-names>M.</given-names></name><etal/></person-group> (<year>2014</year>). <article-title>Molecular characterization of exosomes and their microRNA cargo in human follicular fluid: bioinformatic analysis reveals that exosomal microRNAs control pathways involved in follicular maturation.</article-title> <source><italic>Fertil. Steril.</italic></source> <volume>102</volume> <fpage>1751</fpage>&#x2013;<lpage>1761</lpage>. <pub-id pub-id-type="doi">10.1016/j.fertnstert.2014.08.005</pub-id></citation></ref>
<ref id="B49"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Schier</surname> <given-names>A. F.</given-names></name></person-group> (<year>2007</year>). <article-title>The maternal-zygotic transition: death and birth of RNAs.</article-title> <source><italic>Science</italic></source> <volume>316</volume> <fpage>406</fpage>&#x2013;<lpage>407</lpage>.</citation></ref>
<ref id="B50"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Sun</surname> <given-names>Q. Y.</given-names></name> <name><surname>Miao</surname> <given-names>Y. L.</given-names></name> <name><surname>Schatten</surname> <given-names>H.</given-names></name></person-group> (<year>2009</year>). <article-title>Towards a new understanding on the regulation of mammalian oocyte meiosis resumption.</article-title> <source><italic>Cell Cycle</italic></source> <volume>8</volume> <fpage>2741</fpage>&#x2013;<lpage>2747</lpage>.</citation></ref>
<ref id="B51"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Taylor</surname> <given-names>D. H.</given-names></name> <name><surname>Chu</surname> <given-names>E. T.</given-names></name> <name><surname>Spektor</surname> <given-names>R.</given-names></name> <name><surname>Soloway</surname> <given-names>P. D.</given-names></name></person-group> (<year>2015</year>). <article-title>Long non-coding RNA regulation of reproduction and development.</article-title> <source><italic>Mol. Reprod. Dev.</italic></source> <volume>82</volume> <fpage>932</fpage>&#x2013;<lpage>956</lpage>. <pub-id pub-id-type="doi">10.1002/mrd.22581</pub-id></citation></ref>
<ref id="B52"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Tilly</surname> <given-names>J. L.</given-names></name></person-group> (<year>2001</year>). <article-title>Commuting the death sentence: how oocytes strive to survive.</article-title> <source><italic>Nat. Rev. Mol. Cell Biol.</italic></source> <volume>2</volume> <fpage>838</fpage>&#x2013;<lpage>848</lpage>.</citation></ref>
<ref id="B53"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Tiwari</surname> <given-names>M.</given-names></name> <name><surname>Prasad</surname> <given-names>S.</given-names></name> <name><surname>Tripathi</surname> <given-names>A.</given-names></name> <name><surname>Pandey</surname> <given-names>A. N.</given-names></name> <name><surname>Ali</surname> <given-names>I.</given-names></name> <name><surname>Singh</surname> <given-names>A. K.</given-names></name><etal/></person-group> (<year>2015</year>). <article-title>Apoptosis in mammalian oocytes: a review.</article-title> <source><italic>Apoptosis</italic></source> <volume>20</volume> <fpage>1019</fpage>&#x2013;<lpage>1025</lpage>. <pub-id pub-id-type="doi">10.1007/s10495-015-1136-y</pub-id></citation></ref>
<ref id="B54"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Weber</surname> <given-names>J. A.</given-names></name> <name><surname>Baxter</surname> <given-names>D. H.</given-names></name> <name><surname>Zhang</surname> <given-names>S.</given-names></name> <name><surname>Huang</surname> <given-names>D. Y.</given-names></name> <name><surname>Huang</surname> <given-names>K. H.</given-names></name> <name><surname>Lee</surname> <given-names>M. J.</given-names></name><etal/></person-group> (<year>2010</year>). <article-title>The microRNA spectrum in 12 body fluids.</article-title> <source><italic>Clin. Chem.</italic></source> <volume>56</volume> <fpage>1733</fpage>&#x2013;<lpage>1741</lpage>. <pub-id pub-id-type="doi">10.1373/clinchem.2010.147405</pub-id></citation></ref>
<ref id="B55"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Xu</surname> <given-names>C.</given-names></name> <name><surname>Zhang</surname> <given-names>Y.</given-names></name> <name><surname>Wang</surname> <given-names>Q.</given-names></name> <name><surname>Xu</surname> <given-names>Z.</given-names></name> <name><surname>Jiang</surname> <given-names>J.</given-names></name> <name><surname>Gao</surname> <given-names>Y.</given-names></name><etal/></person-group> (<year>2016</year>). <article-title>Long non-coding RNA GAS5 controls human embryonic stem cell self-renewal by maintaining NODAL signalling.</article-title> <source><italic>Nat. Commun.</italic></source> <volume>7</volume>:<issue>13287</issue>. <pub-id pub-id-type="doi">10.1038/ncomms13287</pub-id></citation></ref>
<ref id="B56"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Xu</surname> <given-names>X. F.</given-names></name> <name><surname>Li</surname> <given-names>J.</given-names></name> <name><surname>Cao</surname> <given-names>Y. X.</given-names></name> <name><surname>Chen</surname> <given-names>D. W.</given-names></name> <name><surname>Zhang</surname> <given-names>Z. G.</given-names></name> <name><surname>He</surname> <given-names>X. J.</given-names></name><etal/></person-group> (<year>2015</year>). <article-title>Differential expression of long noncoding RNAs in human cumulus cells related to embryo developmental potential: a microarray analysis.</article-title> <source><italic>Reprod. Sci.</italic></source> <volume>22</volume> <fpage>672</fpage>&#x2013;<lpage>678</lpage>. <pub-id pub-id-type="doi">10.1177/1933719114561562</pub-id></citation></ref>
<ref id="B57"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Yan</surname> <given-names>L.</given-names></name> <name><surname>Yang</surname> <given-names>M.</given-names></name> <name><surname>Guo</surname> <given-names>H.</given-names></name> <name><surname>Yang</surname> <given-names>L.</given-names></name> <name><surname>Wu</surname> <given-names>J.</given-names></name> <name><surname>Li</surname> <given-names>R.</given-names></name><etal/></person-group> (<year>2013</year>). <article-title>Single-cell RNA-Seq profiling of human preimplantation embryos and embryonic stem cells.</article-title> <source><italic>Nat. Struct. Mol. Biol.</italic></source> <volume>20</volume> <fpage>1131</fpage>&#x2013;<lpage>1139</lpage>. <pub-id pub-id-type="doi">10.1038/nsmb.2660</pub-id></citation></ref>
<ref id="B58"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Yerushalmi</surname> <given-names>G. M.</given-names></name> <name><surname>Salmon-Divon</surname> <given-names>M.</given-names></name> <name><surname>Yung</surname> <given-names>Y.</given-names></name> <name><surname>Maman</surname> <given-names>E.</given-names></name> <name><surname>Kedem</surname> <given-names>A.</given-names></name> <name><surname>Ophir</surname> <given-names>L.</given-names></name><etal/></person-group> (<year>2014</year>). <article-title>Characterization of the human cumulus cell transcriptome during final follicular maturation and ovulation.</article-title> <source><italic>Mol. Hum. Reprod.</italic></source> <volume>20</volume> <fpage>719</fpage>&#x2013;<lpage>735</lpage>. <pub-id pub-id-type="doi">10.1093/molehr/gau031</pub-id></citation></ref>
<ref id="B59"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Yu</surname> <given-names>H.</given-names></name> <name><surname>Xue</surname> <given-names>Y.</given-names></name> <name><surname>Wang</surname> <given-names>P.</given-names></name> <name><surname>Liu</surname> <given-names>X.</given-names></name> <name><surname>Ma</surname> <given-names>J.</given-names></name> <name><surname>Zheng</surname> <given-names>J.</given-names></name><etal/></person-group> (<year>2017</year>). <article-title>Knockdown of long non-coding RNA XIST increases blood-tumor barrier permeability and inhibits glioma angiogenesis by targeting miR-137.</article-title> <source><italic>Oncogenesis</italic></source> <volume>6</volume> e303. <pub-id pub-id-type="doi">10.1038/oncsis.2017.7</pub-id></citation></ref>
<ref id="B60"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Zuccotti</surname> <given-names>M.</given-names></name> <name><surname>Merico</surname> <given-names>V.</given-names></name> <name><surname>Cecconi</surname> <given-names>S.</given-names></name> <name><surname>Redi</surname> <given-names>C. A.</given-names></name> <name><surname>Garagna</surname> <given-names>S.</given-names></name></person-group> (<year>2011</year>). <article-title>What does it take to make a developmentally competent mammalian egg?</article-title> <source><italic>Hum. Reprod. Update</italic></source> <volume>17</volume> <fpage>525</fpage>&#x2013;<lpage>540</lpage>. <pub-id pub-id-type="doi">10.1093/humupd/dmr009</pub-id></citation></ref>
</ref-list>
<fn-group>
<fn id="fn01"><label>1</label><p><ext-link ext-link-type="uri" xlink:href="http://www.tm4.org">http://www.tm4.org</ext-link></p></fn>
<fn id="fn02"><label>2</label><p><ext-link ext-link-type="uri" xlink:href="https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE98103">https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE98103</ext-link></p></fn>
<fn id="fn03"><label>3</label><p><ext-link ext-link-type="uri" xlink:href="http://mirtarbase.mbc.nctu.edu.tw/">http://mirtarbase.mbc.nctu.edu.tw/</ext-link></p></fn>
<fn id="fn04"><label>4</label><p><ext-link ext-link-type="uri" xlink:href="http://okdb.appliedbioinfo.net/">http://okdb.appliedbioinfo.net/</ext-link></p></fn>
<fn id="fn05"><label>5</label><p><ext-link ext-link-type="uri" xlink:href="http://pantherdb.org">http://pantherdb.org</ext-link></p></fn>
<fn id="fn06"><label>6</label><p><ext-link ext-link-type="uri" xlink:href="http://snf-515788.vm.okeanos.grnet.gr/">http://snf-515788.vm.okeanos.grnet.gr/</ext-link></p></fn>
<fn id="fn07"><label>7</label><p><ext-link ext-link-type="uri" xlink:href="http://www.microrna.gr/LncBase">http://www.microrna.gr/LncBase</ext-link></p></fn>
<fn id="fn08"><label>8</label><p><ext-link ext-link-type="uri" xlink:href="http://www.bioinfo.org/NPInter/">http://www.bioinfo.org/NPInter/</ext-link></p></fn>
<fn id="fn09"><label>9</label><p><ext-link ext-link-type="uri" xlink:href="http://www.circbase.org">http://www.circbase.org</ext-link></p></fn>
</fn-group>
</back>
</article>
