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<article article-type="review-article" dtd-version="2.3" xml:lang="EN" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">
<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="publisher-id">838534</article-id>
<article-id pub-id-type="doi">10.3389/fgene.2022.838534</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Genetics</subject>
<subj-group>
<subject>Mini Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Genomic Imprinting in the New Omics Era: A Model for Systems-Level Approaches</article-title>
<alt-title alt-title-type="left-running-head">Hubert and Demars</alt-title>
<alt-title alt-title-type="right-running-head">Genomic Imprinting and Multi-Omics</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Hubert</surname>
<given-names>Jean-No&#xeb;l</given-names>
</name>
<uri xlink:href="https://loop.frontiersin.org/people/1603270/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Demars</surname>
<given-names>Julie</given-names>
</name>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/792121/overview"/>
</contrib>
</contrib-group>
<aff>
<institution>GenPhySE</institution>, <institution>Universit&#xe9; de Toulouse</institution>, <institution>INRAE</institution>, <institution>ENVT</institution>, <institution>F-31326</institution>, <addr-line>Castanet Tolosan</addr-line>, <country>France</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/38252/overview">Jorg Tost</ext-link>, Commissariat &#xe0; l&#x2019;Energie Atomique et aux Energies Alternatives, France</p>
</fn>
<fn fn-type="edited-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/257967/overview">Shin-ichi Horike</ext-link>, Kanazawa University, Japan</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1179718/overview">Bertille Montibus</ext-link>, King&#x2019;s College London, United&#x20;Kingdom</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Julie Demars, <email>julie.demars@inrae.fr</email>
</corresp>
<fn fn-type="other">
<p>This article was submitted to Epigenomics and Epigenetics, a section of the journal Frontiers in Genetics</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>15</day>
<month>03</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>13</volume>
<elocation-id>838534</elocation-id>
<history>
<date date-type="received">
<day>17</day>
<month>12</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>28</day>
<month>02</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2022 Hubert and Demars.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Hubert and Demars</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) and the copyright owner(s) 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&#x20;terms.</p>
</license>
</permissions>
<abstract>
<p>Genomic imprinting represents a noteworthy inheritance mechanism leading to allele-specific regulations dependent of the parental origin. Imprinted loci are especially involved in essential mammalian functions related to growth, development and behavior. In this mini-review, we first offer a summary of current representations associated with genomic imprinting through key results of the three last decades. We then outline new perspectives allowed by the spread of new omics technologies tackling various interacting levels of imprinting regulations, including genomics, transcriptomics and epigenomics. We finally discuss the expected contribution of new omics data to unresolved big questions in the&#x20;field.</p>
</abstract>
<kwd-group>
<kwd>imprintome</kwd>
<kwd>allele-specific expression</kwd>
<kwd>differentially methylated region</kwd>
<kwd>imprinted control region</kwd>
<kwd>noncoding RNA</kwd>
</kwd-group>
<contract-num rid="cn001">ANR-18-CE20-0018</contract-num>
<contract-sponsor id="cn001">Agence Nationale de La Recherche<named-content content-type="fundref-id">10.13039/501100001665</named-content>
</contract-sponsor>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>Mammals inherit two sets of chromosomes, one from each parent, and therefore possess two copies of each gene. For the majority of these genes, both alleles are expressed or repressed, depending upon the cell type. However, a little less than 1% of mammalian genes are imprinted, which means these are monoallelically expressed in a parent-of-origin (PofO)-specific manner. Since the discovery of genomic imprinting (GI) in the 80s, this field of biology was observed from different angles to better understand the originality of this mode of inheritance (<xref ref-type="fig" rid="F1">Figure&#x20;1</xref>).</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Comparative timeline of key discoveries in genomic imprinting and novel high-throughput sequencing technologies. The references cited in the figure are also present in the text unless they are mentioned hereafter (<xref ref-type="bibr" rid="B89">Surani et&#x20;al., 1984</xref>; <xref ref-type="bibr" rid="B101">Watanabe et&#x20;al., 2011</xref>; <xref ref-type="bibr" rid="B88">Strogantsev et&#x20;al., 2015</xref>).</p>
</caption>
<graphic xlink:href="fgene-13-838534-g001.tif"/>
</fig>
<p>In brief, (i) many works have tackled the origin and the dynamics of acquisition of this process across the development of mammals from pre-implantation to post-fertilization and beyond (<xref ref-type="bibr" rid="B63">Monk et&#x20;al., 2019</xref>), (ii) other groups have focused on both the conservation and specificity of these mechanisms across phylogeny, developmental stages and tissues (<xref ref-type="bibr" rid="B62">Monk, 2015</xref>; <xref ref-type="bibr" rid="B74">Patten et&#x20;al., 2016</xref>; <xref ref-type="bibr" rid="B17">Edwards et&#x20;al., 2019</xref>), (iii) a growing body of research has determined the key role played by imprinted genes in biological functions, physiological processes and diseases in humans (<xref ref-type="bibr" rid="B75">Peters, 2014</xref>; <xref ref-type="bibr" rid="B93">Tucci et&#x20;al., 2019</xref>), (iv) thanks to the exceptional progress of knowledge in epigenetics over the last 15&#xa0;years, significant advances were made on the molecular mechanisms at play through the study of GI as an example of epigenetic regulation. These achievements have benefited from the growing variety, volume and availability of omics data. Current and future applications include sequence-based analyses encompassing the many types of molecules and interactions involved in GI to get a more comprehensive and accurate view of such an epigenetic phenomenon.</p>
<p>In the present review, we offer a quick overview of the first three aspects mentioned above, completed by a more developed part on the molecular mechanisms involved in GI through epigenetic marks, noncoding RNAs and chromatin organization. Building on this, we introduce why and how novel sequencing technologies and multi-omics approaches will help tackle the study of GI genome-wise.</p>
</sec>
<sec id="s2">
<title>GI is a Multistep Process and Imprints Need to Be Reset at Each Generation</title>
<p>The identification of the first imprinted genes (<xref ref-type="bibr" rid="B3">Barlow et&#x20;al., 1991</xref>; <xref ref-type="bibr" rid="B77">Rachmilewitz et&#x20;al., 1992</xref>) sparked initial efforts towards elucidating the mechanisms of imprint establishment, maintenance and erasure (<xref ref-type="bibr" rid="B64">Morgan et&#x20;al., 2005</xref>; <xref ref-type="bibr" rid="B20">Ferguson-Smith and Bourchis, 2018</xref>; <xref ref-type="bibr" rid="B63">Monk et&#x20;al., 2019</xref>). In primordial germ cells (PGC), the genome undergoes extensive DNA demethylation, including the removal of existing previous parent-specific imprints. New imprints are acquired at later stages of gametogenesis, according to the sex of the embryo, with a sex-specific timeline. In sperm, imprint establishment starts before birth and is completed in perinatal period, whereas in the female germline imprints are acquired after birth, during oocyte growth (<xref ref-type="bibr" rid="B54">Lucifero et&#x20;al., 2004</xref>; <xref ref-type="bibr" rid="B39">Kato et&#x20;al., 2007</xref>). Those germline imprints, known as primary imprints, are left on specific regions called Imprinting Control Regions (ICRs), which are the site of key imprinting regulations. <italic>DNMT3A</italic> and its cofactor <italic>DNMT3L</italic> are the main genes involved in the <italic>de novo</italic> methylation activity in both germlines (<xref ref-type="bibr" rid="B10">Bourc&#x2019;his et&#x20;al., 2001</xref>; <xref ref-type="bibr" rid="B39">Kato et&#x20;al., 2007</xref>). <italic>KDM1B</italic>, which encodes a lysine demethylase almost exclusively expressed in growing oocytes, is critical for establishing several maternal imprints during oogenesis, as well as non-histone transcriptional regulators, including <italic>ZFP57</italic> and <italic>NLRP2</italic> among others (<xref ref-type="bibr" rid="B7">Begemann et&#x20;al., 2018</xref>; <xref ref-type="bibr" rid="B20">Ferguson-Smith and Bourchis, 2018</xref>). <italic>ZFP57</italic> has further post-fertilization role, when imprinted regions of paternal and maternal germline withstand a wave of genome-wide demethylation followed by a wave of <italic>de novo</italic> methylation. In addition, <italic>DNMT1</italic> is crucial to maintain the methylation imprints in the preimplantation embryo (<xref ref-type="bibr" rid="B35">Hirasawa et&#x20;al., 2008</xref>). Other key regulators of the maintenance of GI include in particular <italic>DPPA3</italic> (<xref ref-type="bibr" rid="B66">Nakamura et&#x20;al., 2007</xref>), <italic>CTCF</italic> (<xref ref-type="bibr" rid="B19">Engel et&#x20;al., 2006</xref>) and components of the nucleosome remodeling and histone deacetylation (NuRD) complex, such as <italic>MBD3</italic> (<xref ref-type="bibr" rid="B79">Reese et&#x20;al., 2007</xref>) and <italic>MTA2</italic> (<xref ref-type="bibr" rid="B55">Ma et&#x20;al., 2010</xref>).</p>
</sec>
<sec id="s3">
<title>Conservation of Imprinting Patterns Across Mammals and Between Tissues Occurs Restricted</title>
<p>Approximately 200 imprinted genes have been documented to date in humans and mice. In other species, a few dozen loci have been experimentally validated at most, such as in rats and pigs with 14 and 45 imprinted genes identified to date, respectively (<ext-link ext-link-type="uri" xlink:href="http://www.geneimprint.com/">http://www.geneimprint.com</ext-link>, last accessed January 2022). Several studies suggested that imprinted genes were less conserved across mammals than initially thought (<xref ref-type="bibr" rid="B61">Monk et&#x20;al., 2006</xref>; <xref ref-type="bibr" rid="B40">Khatib et&#x20;al., 2007</xref>). Genes of the Kcnq1 cluster found to be imprinted in the mouse placenta are not in humans (<xref ref-type="bibr" rid="B61">Monk et&#x20;al., 2006</xref>), while the opposite was shown for <italic>L3MBTL</italic> (<xref ref-type="bibr" rid="B46">Li et&#x20;al., 2005</xref>). In a more complex way, <italic>IGF2R</italic> was imprinted in the mouse but exhibited a polymorphic, variable imprinting pattern in humans (<xref ref-type="bibr" rid="B105">Xu et&#x20;al., 1993</xref>). These findings suggest that GI differs between mammals and displays species-specific regulation patterns, raising questions on the conservation of ICRs across species. Interestingly, the placenta is the tissue with the most imprinting discrepancies between the mouse and humans (<xref ref-type="bibr" rid="B62">Monk, 2015</xref>). Genome-wide analyses showed most of the imprinted clusters with differentially methylated regions (DMRs) in the human placenta are not differentially methylated in the mouse placenta (<xref ref-type="bibr" rid="B60">Miri et&#x20;al., 2013</xref>; <xref ref-type="bibr" rid="B13">Court et&#x20;al., 2014</xref>), which suggests that widespread differences have occurred during imprinting evolution. Additionally, many imprinted genes exhibit brain-specific functions and expression patterns. A textbook case is <italic>UBE3A</italic>, which shows a biallelic expression in most tissues but a maternal expression profile within certain neuronal subtypes (<xref ref-type="bibr" rid="B2">Albrecht et&#x20;al., 1997</xref>). In a more complex way, <italic>IGF2</italic> is paternally expressed in the subgranular zone of the hippocampus, acting as an autocrine factor, but biallelically expressed in the subventricular area, displaying a paracrine role (<xref ref-type="bibr" rid="B22">Ferr&#xf3;n et&#x20;al., 2015</xref>). Such functionally important mechanisms of transcriptional dosage control highlight the shape-shifting nature of GI across cells and tissues.</p>
</sec>
<sec id="s4">
<title>Imprinted Genes are Key Regulators of Fetal and Post-Natal Growth and Adult Behaviour</title>
<p>The discovery of the crucial roles of imprinted genes came from uniparental mouse embryos and then from human imprinting disorders (<xref ref-type="bibr" rid="B75">Peters, 2014</xref>). Experimentally-produced uniparental embryos show lethality due to aberrant GI patterns in several species including cattle, sheep and pig (<xref ref-type="bibr" rid="B42">Lagutina et&#x20;al., 2004</xref>; <xref ref-type="bibr" rid="B106">Zacchini et&#x20;al., 2011</xref>; <xref ref-type="bibr" rid="B82">Sembon et&#x20;al., 2012</xref>), which is in line with pioneering studies showing development arrest due to a lack of embryonic or extraembryonic tissues in the mouse (<xref ref-type="bibr" rid="B5">Barton et&#x20;al., 1984</xref>; <xref ref-type="bibr" rid="B58">McGrath and Solter, 1984</xref>). Paternally-expressed <italic>IGF2</italic> is a well-studied example of imprinted gene that positively regulates fetal growth (<xref ref-type="bibr" rid="B14">DeChiara et&#x20;al., 1991</xref>; <xref ref-type="bibr" rid="B21">Ferguson-Smith et&#x20;al., 1991</xref>). Oppositely, maternally-expressed <italic>GRB10</italic> acts as an essential growth restrictor (<xref ref-type="bibr" rid="B84">Shiura et&#x20;al., 2009</xref>). It has been proposed that many imprinted genes contributing to growth control pathways are coordinately regulated in multiple tissues within an imprinted gene network (<xref ref-type="bibr" rid="B98">Varrault et&#x20;al., 2006</xref>). As suggested through the contribution of GI to growth-related phenotypes, imprinting dysregulation has been identified in a set of 13&#x20;so-called imprinting disorders harbouring convergent patterns of molecular alterations and clinical features (<xref ref-type="bibr" rid="B18">Eggermann et&#x20;al., 2021</xref>). Imprinted genes also have a long-known and important role in the development of the mammalian brain and in adult behaviour, which is illustrated by the contributions of <italic>PEG1</italic> and <italic>PEG3</italic> to maternal behaviour (<xref ref-type="bibr" rid="B36">Ho-Shing and Dulac, 2019</xref>; <xref ref-type="bibr" rid="B93">Tucci et&#x20;al., 2019</xref>).</p>
</sec>
<sec id="s5">
<title>GI is a Particularly Attractive Example of Epigenetic Regulation</title>
<sec id="s5-1">
<title>Main Mechanistic Features of GI</title>
<p>Epigenetics relates to stable and heritable patterns of gene expression that do not involve changes in DNA sequence. GI is a particularly attractive example of epigenetic regulation leading to PofO-specific gene expression (<xref ref-type="bibr" rid="B4">Bartolomei et&#x20;al., 2020</xref>), since in the same cell only one of the two parental alleles is stably repressed depending on epigenetic marks (<xref ref-type="bibr" rid="B80">Reik and Lewis, 2005</xref>). Imprinted genes are typically located in clusters of 3&#x2013;12 genes that are spread over 20&#xa0;kb&#x2013;3.7&#xa0;Mb of DNA, although examples of single imprinted genes do exist (<xref ref-type="bibr" rid="B16">Edwards and Ferguson-Smith, 2007</xref>). Clusters of imprinted genes, designated as imprinted domains, harbor biallelically-expressed genes alongside maternally- and paternally-expressed genes, which encode both protein-coding and long noncoding (lnc) RNAs. Each cluster carries an ICR exhibiting PofO-specific epigenetic marks, such as DNA methylation and post-translational histone modifications, which differentially tag the parental alleles as either active or repressed (<xref ref-type="bibr" rid="B57">Maupetit-M&#xe9;houas et&#x20;al., 2016</xref>). A textbook example is the well-known Igf2/H19 imprinted cluster (<xref ref-type="bibr" rid="B67">Nativio et&#x20;al., 2011</xref>). PofO-specific DNA methylation occurring at ICRs, also called canonical imprinting, is considered a primary imprint marker that directly or indirectly controls most of imprinted genes (<xref ref-type="bibr" rid="B41">Kobayashi, 2021</xref>). These primary imprints are germline differentially methylated regions (gDMRs) that are maintained after fertilization. In addition, some PofO-specific DNA methylations are set post-zygotically in somatic lineages (sDMRs) and are considered as secondary imprints (<xref ref-type="bibr" rid="B41">Kobayashi, 2021</xref>). Memory mechanisms allowing the PofO-specific DNA methylation after the global erasure are yet to be discovered. Noncanonical imprinting has been identified as another key gametic imprinting mark mediated by maternal histone modification instead of DNA methylation (<xref ref-type="bibr" rid="B11">Chen et&#x20;al., 2021</xref>; <xref ref-type="bibr" rid="B59">Mei et&#x20;al., 2021</xref>).</p>
</sec>
<sec id="s5-2">
<title>Long-Range Regulations in Imprinted Clusters</title>
<p>Two well-defined mechanisms of imprinted gene regulation have been described so far: the insulator model and the lncRNA model (<xref ref-type="bibr" rid="B76">Plasschaert and Bartolomei, 2014</xref>). The insulator model is best illustrated at the Igf2/H19 locus. In this example, ICRs work as chromatin insulators and control the reciprocal imprinting of both maternally-expressed <italic>H19</italic> and paternally-expressed <italic>IGF2</italic> through the differential allelic binding of the CTCF protein. In fact, CTCF binds to the unmethylated maternal ICR and forms an insulator, preventing <italic>IGF2</italic> expression for the benefit of the H19 lncRNA. On the paternal allele, the hypermethylated ICR prevents CTCF from binding and the insulator from forming, which allows the downstream enhancers to promote <italic>IGF2</italic> instead of <italic>H19</italic>. The lncRNA model is depicted by the Igf2r/Airn locus, in which the promoter of a lncRNA is located within the ICR. This allows the activation of the lncRNA from the unmethylated paternal ICR, silencing the adjacent genes in <italic>cis</italic>. Silencing is mediated through either the attraction of the machinery that lay down repressive chromatin marks (<xref ref-type="bibr" rid="B65">Nagano and Fraser, 2009</xref>) or the prevention of the RNA polymerase II recruitment at promoters (<xref ref-type="bibr" rid="B44">Latos et&#x20;al., 2012</xref>). On the maternal allele, the hypermethylated ICR results in silencing the lncRNA, thereby allowing the activation of neighboring&#x20;genes.</p>
</sec>
<sec id="s5-3">
<title>GI as Part of Coregulated Networks</title>
<p>Systems-level approaches to GI have increasingly developed since the demonstration showing that the perturbation of one imprinted gene may affect other imprinted genes as well as biallelically-expressed genes (<xref ref-type="bibr" rid="B98">Varrault et&#x20;al., 2006</xref>; <xref ref-type="bibr" rid="B25">Gabory et&#x20;al., 2009</xref>). Therefore, an imprinting gene network (IGN) involving several imprinted genes and non-imprinted genes was suggested (<xref ref-type="bibr" rid="B74">Patten et&#x20;al., 2016</xref>). First studies have confirmed that many imprinted genes are indeed coregulated in their expression levels (<xref ref-type="bibr" rid="B98">Varrault et&#x20;al., 2006</xref>; <xref ref-type="bibr" rid="B1">Al Adhami et&#x20;al., 2015</xref>). Interestingly, in porcine fetal liver cells, a sub-network involving <italic>IGF2</italic>, <italic>DLK1</italic> and <italic>MEG3</italic> was shown using 3D Fluorescence <italic>in situ</italic> Hybridization (FISH), suggesting that 3D nuclear organization, through the colocalization of these imprinted genes, is linked to their transcriptional state (<xref ref-type="bibr" rid="B43">Lahbib-Mansais et&#x20;al., 2016</xref>). While the <italic>cis</italic>-regulation of different imprinted genes, often through the repressive role of imprinted lncRNAs, is well documented, more and more studies have revealed <italic>trans</italic>- silencing mechanisms (<xref ref-type="bibr" rid="B27">Ghousein and Feil, 2020</xref>; <xref ref-type="bibr" rid="B102">Whipple et&#x20;al., 2020</xref>). In the <italic>Dlk1-Meg3</italic> imprinted region, a dense cluster of 39 miRNAs, miR-379/410, is located in the 3&#x2032;UTR of maternally-expressed <italic>MEG3</italic>. Such maternal miRNAs downregulate several paternally-expressed genes located elsewhere like <italic>PLAGL1</italic> (<xref ref-type="bibr" rid="B102">Whipple et&#x20;al., 2020</xref>), which directly regulates itself a few hundred covarying genes, including multiple imprinted genes, together constituting a gene network (<xref ref-type="bibr" rid="B96">Varrault et&#x20;al., 2017</xref>).</p>
</sec>
</sec>
<sec id="s6">
<title>Towards Characterizing Imprintomes in the New Omics Era</title>
<p>Beside an accurate understanding of the molecular regulation of the different imprinting regions, acquiring a global overview of the imprinted gene network remains crucial to better apprehend their major roles genome-wise. In this context, recent developments in omics (including genomics, transcriptomics, epigenomics and chromatin structure analyses, see <xref ref-type="fig" rid="F2">Figure&#x20;2</xref>) should provide more and more comprehensive insights on the role of GI in complex traits in mammals (<xref ref-type="bibr" rid="B71">O&#x2019;Doherty et&#x20;al., 2015</xref>) and human disorders (<xref ref-type="bibr" rid="B63">Monk et&#x20;al., 2019</xref>).</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>How multi-omics nurse knowledge on genome imprinting mechanisms. The diagram in the center of the figure depicts the different layers of GI regulation that can be targeted using current multi-omics, through the canonical example of the Igf2/H19 imprinted cluster. The colored boxes used in the central diagram (green, pink and yellow) represent the different interacting levels of imprinting regulations that are mentioned in the corresponding omics boxes. WG(B)S: Whole-Genome Bisulfite Sequencing; BS-Seq: BiSulfite-Sequencing; EM-Seq: Enzymatic Methyl-Sequencing; ChIP-Seq: Chromatin ImmunoPrecipitation followed by Sequencing; CUT&#x0026;Tag: Cleavage Under Targets and Tagmentation; scRNA-Seq: single-cell RNA-Seq; FAIRE-Seq: Formaldehyde-Assisted Isolation of Regulatory Elements Followed by Sequencing; ATAC-Seq: Assay for Transposase-Accessible Chromatin with high-throughput Sequencing; ChIA-PET: Chromatin Interaction Analysis with Paired-End Tag sequencing, 3C: Chromosome Conformation Capture; 4C: 3C on Chip; 5C: 3C-Carbon Copy; HiC: High-throughput 3C; Dip-C: Diploid 3C.</p>
</caption>
<graphic xlink:href="fgene-13-838534-g002.tif"/>
</fig>
<sec id="s6-1">
<title>
<italic>Via</italic> (Epi)Genomics</title>
<p>Investigating GI requires considering an extra state of DNA sequence through the mapping of methylated cytosines. It has therefore fueled the continued development of sequencing protocols including the bisulfite conversion of unmethylated cytosines (<xref ref-type="bibr" rid="B12">Clark et&#x20;al., 2006</xref>; <xref ref-type="bibr" rid="B73">Olova et&#x20;al., 2018</xref>), so that both conventional genotype information and the methylation status of cytosines in any sequence context can be jointly determined. As the cost of acquiring full sequence data has decreased, Whole-Genome Bisulfite Sequencing (WGBS) has emerged as a standard to move towards more exhaustive maps of GI in species with a reference sequence assembly (<xref ref-type="bibr" rid="B107">Zhou et&#x20;al., 2021</xref>). Today there is a rich set of library preparation strategies using short-read technologies to implement genome scans for imprinted genes, from affordable ones based on methylation-dependent restriction enzymes and suited for <italic>de novo</italic> analyses (<xref ref-type="bibr" rid="B100">Wang et&#x20;al., 2015</xref>; <xref ref-type="bibr" rid="B15">Dixon and Matz, 2021</xref>) to bisulfite-free ones aimed at preserving DNA sequence integrity while seeking exhaustiveness (<xref ref-type="bibr" rid="B48">Liu et&#x20;al., 2020</xref>; <xref ref-type="bibr" rid="B94">Vaisvila et&#x20;al., 2021</xref>). Genome-wide analyses of parent-offspring trios, reciprocal crosses and other pedigree-based designs have pivotal importance in detecting molecular signatures of GI (<xref ref-type="bibr" rid="B24">Fr&#xe9;sard et&#x20;al., 2014</xref>; <xref ref-type="bibr" rid="B109">Zink et&#x20;al., 2018</xref>; <xref ref-type="bibr" rid="B38">Consortium et&#x20;al., 2019</xref>). Such studies have much to gain from the use of long-read technologies from Oxford Nanopore and PacBio platforms, which are able to read both DNA sequence and its methylation status over several kilobases. Long-range phasing will in particular improve the acquisition of the PofO information. More generally, long reads should improve several facets of GI studies, including allele-specific variant detection, access to complex sequence and parental methylation bias identification (<xref ref-type="bibr" rid="B28">Gigante et&#x20;al., 2019</xref>). This paves the way to generalizable approaches coupling affordable pedigree-based designs with low-coverage long-read sequencing data, which could become essential to improving our understanding of GI. Interestingly, combining bisulfite-free sequencing library preparation strategies with long reads is appealing both in theory and in practice (<xref ref-type="bibr" rid="B48">Liu et&#x20;al., 2020</xref>), making it possible to envisage many beneficial applications for the better characterization of GI. By allowing the genome-wide detection of protein-DNA interactions and histone modifications, Chromatin ImmunoPrecipitation followed by Sequencing (ChIP-Seq) offers additional possibilities to investigate the mechanistic features of GI, including noncanonical patterns (<xref ref-type="bibr" rid="B11">Chen et&#x20;al., 2021</xref>; <xref ref-type="bibr" rid="B59">Mei et&#x20;al., 2021</xref>).</p>
</sec>
<sec id="s6-2">
<title>
<italic>Via</italic> Transcriptomics</title>
<p>As imprinting mechanisms are organized at the scale of transcriptional units, we anticipate that current developments in transcriptomics bring much to our understanding of GI, in particular through the spread of single-cell RNA-Seq (scRNA-Seq) experiments and long-read technologies. scRNA-Seq allows measuring gene expression at the cell resolution, which is particularly relevant to characterize imprinted genes with tissue- or cell-specific expression patterns. Imprinting expression patterns may vary from mono- to biallelic across cells, suggesting the occurrence of epigenetic mosaicism in mammals (<xref ref-type="bibr" rid="B29">Ginart et&#x20;al., 2016</xref>). scRNA-Seq experiments are here both highly advisable and challenging because the tissues most subjected to GI show remarkable spatial and temporal heterogeneity still undergoing exploration (<xref ref-type="bibr" rid="B49">Liu et&#x20;al., 2018</xref>; <xref ref-type="bibr" rid="B97">Varrault et&#x20;al., 2020</xref>). First studies showed the potential of scRNA-Seq to identify new imprinted candidates (<xref ref-type="bibr" rid="B81">Santoni et&#x20;al., 2017</xref>) and to dissect the complexity of dosage imbalance phenomena in the cell (<xref ref-type="bibr" rid="B86">Stamoulis et&#x20;al., 2019</xref>). The regulation of gene expression in imprinting clusters is provided in particular by lncRNAs, which are located in the immediate vicinity of ICRs and have an effect on large physical distances within clusters. Their precise roles need further clarification, but it is accepted that lncRNAs do more than simple transcriptional interference and are required for imprinting maintenance (<xref ref-type="bibr" rid="B56">MacDonald and Mann, 2020</xref>; <xref ref-type="bibr" rid="B50">Ll&#xe8;res et&#x20;al., 2021</xref>). As such RNAs may exceed one kilobase in length, the use of direct RNA-seq methods compatible with long reads appears an appropriate strategy to favor their characterization while limiting the occurrence of bias (<xref ref-type="bibr" rid="B26">Garalde et&#x20;al., 2018</xref>). Current effort is focused on developing suitable methods to allow transcriptome-wide representations of long transcripts, including those without polyadenylated tails (<xref ref-type="bibr" rid="B72">Oikonomopoulos et&#x20;al., 2020</xref>; <xref ref-type="bibr" rid="B8">Begik et&#x20;al., 2021</xref>). Given the importance of noncoding RNA species in mediating GI, the development of new comprehensive transcriptomic approaches based on total RNA-Seq (<xref ref-type="bibr" rid="B99">Verboom et&#x20;al., 2019</xref>), aiming at simultaneously detecting diverse RNA types, is good news for future GI studies.</p>
</sec>
<sec id="s6-3">
<title>
<italic>Via</italic> 3D Genomics</title>
<p>Both the epigenetic landscape and the RNA-protein complexes regulating imprinted genes are part of a bigger picture involving higher-order organization constraints in the nucleus. The development of Chromosome Conformation Capture (3C)-based technologies (C-technologies) makes it possible to study the links between nuclear architecture, chromatin topology and genetic elements, leading to genome-wide 3D maps (<xref ref-type="bibr" rid="B78">Rao et&#x20;al., 2014</xref>). The key principle of C-technologies is to obtain the sequence information of frequently interacting chromosome fragments to identify gene regulations at the scale of the 3D nucleus (<xref ref-type="bibr" rid="B6">Barutcu et&#x20;al., 2016</xref>). Such data confirmed the master role of CTCF in 3D genome organization, supporting the view that further characterization of the interactions between chromatin structures and molecular binding complexes in imprinted domains will shed light on mechanisms underlying the maintenance and dynamics of GI (<xref ref-type="bibr" rid="B51">Ll&#xe8;res et&#x20;al., 2019</xref>; <xref ref-type="bibr" rid="B69">Noordermeer and Feil, 2020</xref>). By jointly improving resolution, phasing and genome coverage, C-technologies have revealed specific higher-order structural patterns about GI. In particular, High-throughput 3C (Hi-C) showed the enrichment for imprinted genes in chromatin loops (<xref ref-type="bibr" rid="B31">Greenwald et&#x20;al., 2019</xref>). Current efforts lay the foundation for identifying differences in 3D structure between maternal and paternal alleles in imprinted clusters (<xref ref-type="bibr" rid="B92">Tan et&#x20;al., 2018</xref>; <xref ref-type="bibr" rid="B47">Lindsly et&#x20;al., 2021</xref>). In addition, chromatin accessibility analyses like Assay for Transposase-Accessible Chromatin with high-throughput Sequencing (ATAC-Seq) or Chromatin Overall Omic-scale Landscape Sequencing (COOL-Seq) make it possible to test the existence of such a parental asymmetry at a lower level of chromatin organization (<xref ref-type="bibr" rid="B104">Wu et&#x20;al., 2016</xref>; <xref ref-type="bibr" rid="B32">Gu et&#x20;al., 2019</xref>). There is therefore today a dense set of high-throughput technologies for analyzing chromatin organization, from the gene-level resolution to long-range contacts, which allow genome-wide integrative analyses on the chromatin mechanisms regulating imprinted networks.</p>
</sec>
</sec>
<sec sec-type="discussion" id="s7">
<title>Discussion</title>
<p>Review of sequence-based technological developments shows a transition taking place along two transversal axes, from bulk to single-cell approaches and from short to long reads. Such an evolution carries many promises in the context of GI studies, especially as imprinted sites host very diverse elements and are subjected to various regulatory features. It is therefore the right time to characterize in depth imprintomes and understated regulations across loci, stages, cell types and species, which will lead to a better mechanistic understanding of GI. The incorporation of C-technologies as part of multi-omics integrative approaches could in particular reveal imprinted interactomes (<xref ref-type="bibr" rid="B68">Naveh et&#x20;al., 2021</xref>).</p>
<p>Analyses of coding sequences remain an essential gateway to increase our understanding of GI, as the identification of new imprinted genes leads to various further studies. Affordable genome-wide data acquisition benefiting from pedigree-based designs can be implemented across phylogenetic clades, thereby helping to address large sets of questions related to imprinting evolution. These include a better understanding of the early evolutionary history and diversification of GI. A closer look at GI in certain taxa and tissues through integrative omics approaches could for example help clarify the constraints applied to imprinted clusters, the mechanisms that enabled the acquisition of DMRs and the role of transposable elements in the evolution of mammalian development (<xref ref-type="bibr" rid="B9">Bogutz et&#x20;al., 2019</xref>; <xref ref-type="bibr" rid="B33">Hanin and Ferguson-Smith, 2020</xref>; <xref ref-type="bibr" rid="B34">Hanna and Kelsey, 2021</xref>; <xref ref-type="bibr" rid="B83">Senft and Macfarlan, 2021</xref>). Comprehensive genome scans for imprinted genes in species with little or no previous evidence for GI bring important information, since it promotes the understanding of both GI evolution and related phenomena such as methylation reprogramming and allele-specific expression, which regulate key biological processes in vertebrates (<xref ref-type="bibr" rid="B24">Fr&#xe9;sard et&#x20;al., 2014</xref>; <xref ref-type="bibr" rid="B108">Zhuo et&#x20;al., 2017</xref>; <xref ref-type="bibr" rid="B85">Skvortsova et&#x20;al., 2019</xref>). A recent epigenome comparison across five placental mammals notably showed striking species-specific features, with distinct GI mechanisms between humans, nonrodents and rodents (<xref ref-type="bibr" rid="B53">Lu et&#x20;al., 2021</xref>).</p>
<p>All this highlights the great interest of studying how GI may influence phenotypes across mammals. Some strategies are emerging to identify the impact of very subtle changes related to GI on intermediate molecular phenotypes (<xref ref-type="bibr" rid="B31">Greenwald et&#x20;al., 2019</xref>; <xref ref-type="bibr" rid="B47">Lindsly et&#x20;al., 2021</xref>). At a higher phenotypic level, we know from familial and association studies that GI contributes to complex phenotypes, including syndromic disorders (<xref ref-type="bibr" rid="B18">Eggermann et&#x20;al., 2021</xref>), cancer (<xref ref-type="bibr" rid="B30">Goovaerts et&#x20;al., 2018</xref>) and several other developmental phenotypes in both humans (<xref ref-type="bibr" rid="B103">Workalemahu et&#x20;al., 2020</xref>) and other mammals (<xref ref-type="bibr" rid="B23">Freking et&#x20;al., 2002</xref>; <xref ref-type="bibr" rid="B95">Van Laere et&#x20;al., 2003</xref>). Investigating multi-scale GI-phenotype relationships could provide insights on unusual patterns of missing heritability, with the potential for many applications. Genomic prediction in domestic animals could for example benefit from explicitly modeling GI for some economically important phenotypes (<xref ref-type="bibr" rid="B71">O&#x2019;Doherty et&#x20;al., 2015</xref>; <xref ref-type="bibr" rid="B37">Hu et&#x20;al., 2016</xref>; <xref ref-type="bibr" rid="B70">O&#x2019;Brien and Wolf, 2019</xref>). In cancer, evasion of growth suppression is mediated through many imprinted loci (<xref ref-type="bibr" rid="B87">Stampone et&#x20;al., 2018</xref>; <xref ref-type="bibr" rid="B45">Lecerf et&#x20;al., 2019</xref>; <xref ref-type="bibr" rid="B90">Sutton et&#x20;al., 2019</xref>). Studies on experimental models or patient tissues would be helpful to further document the contribution of dysregulated imprinting patterns to cancer evolution (<xref ref-type="bibr" rid="B52">Lozano-Ure&#xf1;a et&#x20;al., 2021</xref>; <xref ref-type="bibr" rid="B91">Taguchi et&#x20;al., 2021</xref>). More generally, imprinted clusters host key genes offering a gateway to larger epigenomic studies. We therefore believe that current developments in sequencing technologies are essential to significant advances in the characterization of such unusual modes of trait transmission.</p>
</sec>
</body>
<back>
<sec id="s8">
<title>Author Contributions</title>
<p>J-NH and JD wrote the paper.</p>
</sec>
<sec id="s9">
<title>Funding</title>
<p>PIPETTE ANR project (ANR-18-CE20-0018).</p>
</sec>
<sec sec-type="COI-statement" id="s10">
<title>Conflict of Interest</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>
<sec sec-type="disclaimer" id="s11">
<title>Publisher&#x2019;s Note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors, and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
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