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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Cell Dev. Biol.</journal-id>
<journal-title>Frontiers in Cell and Developmental Biology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Cell Dev. Biol.</abbrev-journal-title>
<issn pub-type="epub">2296-634X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fcell.2020.00394</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Cell and Developmental Biology</subject>
<subj-group>
<subject>Mini Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>The Emerging Roles of Heterochromatin in Cell Migration</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Gerlitz</surname> <given-names>Gabi</given-names></name>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/157929/overview"/>
</contrib>
</contrib-group>
<aff><institution>Department of Molecular Biology and Ariel Center for Applied Cancer Research, Faculty of Life Sciences, Ariel University</institution>, <addr-line>Ariel</addr-line>, <country>Israel</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Katarzyna Oktaba, Unidad Irapuato (CINVESTAV), Mexico</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Richard Alan Katz, Fox Chase Cancer Center, United States; Ren&#x00E9; Massimiliano Marsano, University of Bari Aldo Moro, Italy</p></fn>
<corresp id="c001">&#x002A;Correspondence: Gabi Gerlitz, <email>gabige@ariel.ac.il</email></corresp>
<fn fn-type="other" id="fn004"><p>This article was submitted to Epigenomics and Epigenetics, a section of the journal Frontiers in Cell and Developmental Biology</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>27</day>
<month>05</month>
<year>2020</year>
</pub-date>
<pub-date pub-type="collection">
<year>2020</year>
</pub-date>
<volume>8</volume>
<elocation-id>394</elocation-id>
<history>
<date date-type="received">
<day>28</day>
<month>02</month>
<year>2020</year>
</date>
<date date-type="accepted">
<day>29</day>
<month>04</month>
<year>2020</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2020 Gerlitz.</copyright-statement>
<copyright-year>2020</copyright-year>
<copyright-holder>Gerlitz</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 terms.</p></license>
</permissions>
<abstract>
<p>Cell migration is a key process in health and disease. In the last decade an increasing attention is given to chromatin organization in migrating cells. In various types of cells induction of migration leads to a global increase in heterochromatin levels. Heterochromatin is required for optimal cell migration capabilities, since various interventions with heterochromatin formation impeded the migration rate of numerous cell types. Heterochromatin supports the migration process by affecting both the mechanical properties of the nucleus as well as the genetic processes taking place within it. Increased heterochromatin levels elevate nuclear rigidity in a manner that allows faster cell migration in 3D environments. Condensed chromatin and a more rigid nucleus may increase nuclear durability to shear stress and prevent DNA damage during the migration process. In addition, heterochromatin reorganization in migrating cells is important for induction of migration-specific transcriptional plan together with inhibition of many other unnecessary transcriptional changes. Thus, chromatin organization appears to have a key role in the cellular migration process.</p>
</abstract>
<kwd-group>
<kwd>cell nucleus</kwd>
<kwd>chromatin</kwd>
<kwd>histones</kwd>
<kwd>genome organization</kwd>
<kwd>cancer metastasis</kwd>
</kwd-group>
<contract-num rid="cn001">20190028</contract-num>
<contract-num rid="cn001">20201181</contract-num>
<contract-sponsor id="cn001">Israel Cancer Association<named-content content-type="fundref-id">10.13039/501100003975</named-content></contract-sponsor>
<counts>
<fig-count count="1"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="160"/>
<page-count count="12"/>
<word-count count="0"/>
</counts>
</article-meta>
</front>
<body>
<sec id="S1">
<title>Introduction</title>
<p>Chromatin is classically divided to euchromatin and heterochromatin. Euchromatin contains relatively open and active chromatin regions, while heterochromatin includes more condensed, gene-poor and less active chromatin regions (<xref ref-type="bibr" rid="B14">Carlberg and Moln&#x00E1;r, 2019</xref>). Heterochromatin is subdivided to facultative and constitutive heterochromatin. The former contains repressed genes in a cell type-specific manner, while the latter is formed mainly over repetitive sequences and transposons localized at constant positions in various cell types such as pericentromeric regions, which are transcribed, although, at a very low level (<xref ref-type="bibr" rid="B106">Saksouk et al., 2015</xref>; <xref ref-type="bibr" rid="B4">Allshire and Madhani, 2018</xref>; <xref ref-type="bibr" rid="B123">Talbert and Henikoff, 2018</xref>; <xref ref-type="bibr" rid="B80">Marsano et al., 2019</xref>). Heterochromatin formation and maintenance is achieved by a battery of factors including histone variants, non-coding RNAs, DNA and histone modifications, factors that read these modifications, chromatin architectural proteins and chromatin remodeling factors (<xref ref-type="bibr" rid="B4">Allshire and Madhani, 2018</xref>). In general, DNA methylation is found in both types of heterochromatin, while facultative heterochromatin is enriched with the histone variant macroH2A, and the histone methylation marks H3K27me3, H2AK119Ub, and to less extent H4K20me1. Constitutive heterochromatin is enriched with H3K9me2/3 and H4K20me2/3 (<xref ref-type="bibr" rid="B29">Fodor et al., 2010</xref>; <xref ref-type="bibr" rid="B27">Fadloun et al., 2013</xref>; <xref ref-type="bibr" rid="B87">Mozzetta et al., 2015</xref>; <xref ref-type="bibr" rid="B106">Saksouk et al., 2015</xref>). These modifications promote chromatin condensation through the factors that bind them, which are termed readers (<xref ref-type="bibr" rid="B115">Soshnev et al., 2016</xref>). These readers include MeCP2, HP1 proteins, BAHD1 and L3MBTL1 (<xref ref-type="bibr" rid="B12">Canzio et al., 2014</xref>; <xref ref-type="bibr" rid="B40">Gozani and Shi, 2014</xref>; <xref ref-type="bibr" rid="B87">Mozzetta et al., 2015</xref>; <xref ref-type="bibr" rid="B158">Zhao et al., 2016</xref>; <xref ref-type="bibr" rid="B126">Tillotson and Bird, 2019</xref>). Increased nucleosome compaction in heterochromatin is achieved also by the chromatin architectural protein histone H1 that can be inhibited by phosphorylation (<xref ref-type="bibr" rid="B43">Hergeth and Schneider, 2015</xref>; <xref ref-type="bibr" rid="B33">Fyodorov et al., 2018</xref>) and chromatin remodeling factors such as ATRX (<xref ref-type="bibr" rid="B20">Clynes et al., 2013</xref>; <xref ref-type="bibr" rid="B25">Dyer et al., 2017</xref>). Not less important is the eviction of euchromatin markers out of heterochromatin regions (<xref ref-type="bibr" rid="B4">Allshire and Madhani, 2018</xref>). Historically, heterochromatin has been studied mainly in relation to regulation of gene expression during differentiation and development and to its supportive roles in cell cycle progression such as the importance of pericentromeric heterochromatin in cell division (<xref ref-type="bibr" rid="B87">Mozzetta et al., 2015</xref>; <xref ref-type="bibr" rid="B106">Saksouk et al., 2015</xref>; <xref ref-type="bibr" rid="B4">Allshire and Madhani, 2018</xref>; <xref ref-type="bibr" rid="B123">Talbert and Henikoff, 2018</xref>). However, in the last decade it has become apparent that heterochromatin levels are increased in response to cell migration signals and support better cell migration capabilities (<xref ref-type="bibr" rid="B35">Gerlitz and Bustin, 2011</xref>).</p>
<p>In animals, cell migration is a fundamental process in embryogenesis as well as in normal function of various tissues and systems such as regeneration of colon epithelium and the activity of the immune response. Mutations and deregulation of cellular migration processes are linked to various human diseases varied from intellectual disability to cancer metastasis (<xref ref-type="bibr" rid="B91">Nourshargh and Alon, 2014</xref>; <xref ref-type="bibr" rid="B52">Jiang and Nardelli, 2016</xref>; <xref ref-type="bibr" rid="B103">Reiner et al., 2016</xref>; <xref ref-type="bibr" rid="B109">Scarpa and Mayor, 2016</xref>; <xref ref-type="bibr" rid="B120">Stouffer et al., 2016</xref>; <xref ref-type="bibr" rid="B60">Lambert et al., 2017</xref>; <xref ref-type="bibr" rid="B140">Worbs et al., 2017</xref>; <xref ref-type="bibr" rid="B19">Chitty et al., 2018</xref>; <xref ref-type="bibr" rid="B110">Schumacher, 2019</xref>). In recent years it has been appreciated that the cell nucleus, which is the largest and most rigid cellular organelle has to undergo major changes in its position, structure and morphology during cell migration (<xref ref-type="bibr" rid="B138">Wolf et al., 2007</xref>, <xref ref-type="bibr" rid="B137">2013</xref>; <xref ref-type="bibr" rid="B31">Friedl and Wolf, 2009</xref>; <xref ref-type="bibr" rid="B83">McGregor et al., 2016</xref>; <xref ref-type="bibr" rid="B64">Lele et al., 2018</xref>; <xref ref-type="bibr" rid="B144">Yamada and Sixt, 2019</xref>). Recent reviews covered thoroughly the emerging research field of the cell nucleus during migration while concentrating on the nuclear envelope and its interactions with the cytoskeleton (<xref ref-type="bibr" rid="B58">Krause and Wolf, 2015</xref>; <xref ref-type="bibr" rid="B9">Bone and Starr, 2016</xref>; <xref ref-type="bibr" rid="B69">Liu et al., 2016</xref>; <xref ref-type="bibr" rid="B83">McGregor et al., 2016</xref>; <xref ref-type="bibr" rid="B76">Madrazo et al., 2017</xref>; <xref ref-type="bibr" rid="B11">Calero-Cuenca et al., 2018</xref>; <xref ref-type="bibr" rid="B54">Kengaku, 2018</xref>; <xref ref-type="bibr" rid="B64">Lele et al., 2018</xref>; <xref ref-type="bibr" rid="B79">Manley et al., 2018</xref>; <xref ref-type="bibr" rid="B107">Salvermoser et al., 2018</xref>). Here I focused on the major inner nuclear component, chromatin and more specifically on heterochromatin changes and their roles in cell migration.</p>
</sec>
<sec id="S2">
<title>Heterochromatin Alterations in Migrating Cells</title>
<p>Induction of cell migration was found to trigger global chromatin reorganization in several cell types. Initial comprehensive analysis of global chromatin organization in migrating cells was carried out in mouse melanoma cells. In these cells, induction of migration in the wound healing assay led to a rapid increase in various heterochromatin markers that could be detected already 15&#x2013;60 min after introducing the migration signals. These markers included the histone modifications H3K9me3, H3K27me3, and H4K20me1, a non-phosphorylated form of histone H1 and DNA methylation (<xref ref-type="bibr" rid="B36">Gerlitz et al., 2007</xref>; <xref ref-type="bibr" rid="B34">Gerlitz and Bustin, 2010</xref>; <xref ref-type="bibr" rid="B78">Maizels et al., 2017</xref>). In addition, chromatin residence time of the chromatin architectural proteins HMGA1 and HMGN2 that are involved in chromatin de-compaction turned shorter, while the chromatin residence time of histone H1 that increases chromatin compaction was prolonged (<xref ref-type="bibr" rid="B36">Gerlitz et al., 2007</xref>; <xref ref-type="bibr" rid="B34">Gerlitz and Bustin, 2010</xref>). In parallel, migrating cells were found to be more resistant to DNase I treatment compared to non-migrating cells, indicating an elevation in chromatin condensation levels in migrating cells (<xref ref-type="bibr" rid="B34">Gerlitz and Bustin, 2010</xref>).</p>
<p>Increased global chromatin condensation in response to migration signals was found in additional cell types: In human breast cancer cells H3K9me3 levels were increased in response to expression of the activated form of Amphiregulin (AR). AR is an EGF family member that upon activation undergoes cleavage and translocation from the plasma membrane to the inner nuclear membrane while activating cell migration (<xref ref-type="bibr" rid="B49">Isokane et al., 2008</xref>; <xref ref-type="bibr" rid="B124">Tanaka et al., 2012</xref>). In human and mouse CD4<sup>+</sup> T-cells induction of migration by Vascular Cell Adhesion Molecule 1 (VCAM1) led to an increase in H3K9me2/3 levels and to a higher resistance of the genome to cleavage by DNase I and MNase (<xref ref-type="bibr" rid="B156">Zhang X. et al., 2016</xref>). In rat tenocytes increased DNA methylation levels and genome resistance to DNase I cleavage were identified upon induction of migration by mechano-growth factor E peptide (MGF-C25E) (<xref ref-type="bibr" rid="B150">Zhang B. et al., 2016</xref>). In bone marrow-derived mesenchymal stem cells higher H3K27me3 levels and increased resistance to DNase I cleavage were found after induction of migration by the chemokine-like extracellular matrix (ECM)-associated protein Osteopontin (<xref ref-type="bibr" rid="B68">Liu et al., 2018</xref>). <italic>In vivo</italic>, DNA methyltransferases (DNMTs) levels and DNA methylation levels were shown to increase during wound healing of mouse corneal epithelium (<xref ref-type="bibr" rid="B73">Luo et al., 2019</xref>) and in colorectal cancer, H3K9me3 levels were found to be higher in the tumor invasive front than in non-invasive parts of it (<xref ref-type="bibr" rid="B147">Yokoyama et al., 2013</xref>). Interestingly, heterochromatin reorganization in response to migration signals was found not only in mammalian cells, but also in the filamentous fungus <italic>Neurospora crassa</italic>, in which accumulation of histone H1 was detected in the leading edge of migrating nuclei (<xref ref-type="bibr" rid="B30">Freitag et al., 2004</xref>; <xref ref-type="bibr" rid="B36">Gerlitz et al., 2007</xref>), thus heterochromatin reorganization in migrating cells may be an evolutionary conserved feature.</p>
<p>Recently, chromatin in migrating cells has been analyzed using higher resolution next generation sequencing tools. Chromosome conformations were captured by the Hi-C technique in human neutrophil-like cells that migrated through large pores (14 &#x03BC;m in diameter) and through confined pores (5 &#x03BC;m in diameter). As anticipated, migration through narrower pores associated with a higher degree of changes in chromosome conformations. Interestingly, disruptions of short-range interactions and of topologically associating domains (TADs) occurred to a higher extent in heterochromatin regions (compartment B in Hi-C analysis) than in euchromatin (compartment A) (<xref ref-type="bibr" rid="B50">Jacobson et al., 2018</xref>). Detailed analysis of heterochromatin was carried out in migrating mouse melanoma cells by a ChIP-seq analysis of the heterochromatin markers H3K9me, H3K27me3, and H4K20me1. Interestingly, upon induction of migration these markers were found to spread over larger genomic regions, while accumulating to a lesser extent, in specific genomic loci to form peaks. Though smaller in number, the migration-specific peaks of H3K9me3 and H4K20me1 accumulated over repetitive regions, while the ones of H3K27me3 accumulated over genes (<xref ref-type="bibr" rid="B111">Segal et al., 2018</xref>). Thus, signatures of both facultative and constitutive heterochromatin have been found to be highly dynamic in migrating cells.</p>
</sec>
<sec id="S3">
<title>Effects of Heterochromatin Levels on Cell Migration Rate</title>
<p>Indications that global chromatin condensation is important for cell migration emerged from numerous experiments in which interference with heterochromatin formation attenuated the migration rate of a vast variety of cells. Knockdown or chemical inhibition of EZH2, which is the catalytic subunit of the H3K27 methyltransferase complex PRC2, inhibited the migration rate of various cell types (<xref ref-type="table" rid="T1">Table 1</xref>). Interfering with H3K9me2/3 levels by knocking down methyltransferases that generate these modifications such as G9a, SUV39H1, SUV39H2, SETDB1, and SETDB2 or by using chemical inhibitors of G9a and SUV39H1/2 also inhibited the migration rate of many cell types (<xref ref-type="table" rid="T1">Table 1</xref>). On the other hand, over-expression of H3K9me2/3 methyltransferases was shown to enhance the rate of cell migration (<xref ref-type="table" rid="T1">Table 1</xref>).</p>
<table-wrap position="float" id="T1">
<label>TABLE 1</label>
<caption><p>Studies identifying the dependence of cell migration on heterochromatin levels.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left"><bold>Heterochromatin alteration and the effect on migration</bold></td>
<td valign="top" align="left"><bold>Cell type (&#x002A;-primary cells)</bold></td>
<td valign="top" align="left"><bold>Method of manipulation</bold></td>
<td valign="top" align="left"><bold>Migration assay</bold></td>
<td valign="top" align="left"><bold>References</bold></td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">H3K27me3 reduction leading to inhibition of migration</td>
<td valign="top" align="left">Bone marrow-derived mesenchymal stem cells&#x002A;</td>
<td valign="top" align="left">EZH2 siRNA</td>
<td valign="top" align="left">TA</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B68">Liu et al., 2018</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Mouse embryonic fibroblasts&#x002A;</td>
<td valign="top" align="left">EZH2 siRNA</td>
<td valign="top" align="left">TA and WH</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B57">Kottakis et al., 2011</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Endometriotic epithelial cells</td>
<td valign="top" align="left">EZH2 siRNA and inhibitor (GSK126)</td>
<td valign="top" align="left">TA and WH</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B26">Eskander et al., 2013</xref>; <xref ref-type="bibr" rid="B155">Zhang et al., 2017</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Squamous cell carcinoma</td>
<td valign="top" align="left">EZH2 siRNA and inhibitors (GSK126 and EPZ-6438)</td>
<td valign="top" align="left">WH</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B1">Adhikary et al., 2015</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Immortalized keratinocytes</td>
<td valign="top" align="left">EZH2 siRNA</td>
<td valign="top" align="left">WH</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B1">Adhikary et al., 2015</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Melanoma</td>
<td valign="top" align="left">EZH2 siRNA and inhibitors (GSK126 and GSK343)</td>
<td valign="top" align="left">TA and WH</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B72">Luo et al., 2013</xref>; <xref ref-type="bibr" rid="B78">Maizels et al., 2017</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Pancreatic cancer cells</td>
<td valign="top" align="left">EZH2 siRNA</td>
<td valign="top" align="left">TA and WH</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B74">Ma et al., 2018</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Ovarian cancer cells</td>
<td valign="top" align="left">EZH2 siRNA</td>
<td valign="top" align="left">TA</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B70">Lu et al., 2010</xref>; <xref ref-type="bibr" rid="B102">Rao et al., 2010</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Breast carcinoma cells</td>
<td valign="top" align="left">EZH2 siRNA</td>
<td valign="top" align="left">TA</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B130">Varambally et al., 2008</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Prostate cancer cells</td>
<td valign="top" align="left">EZH2 siRNA</td>
<td valign="top" align="left">WH</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B130">Varambally et al., 2008</xref></td>
</tr>
<tr>
<td valign="top" align="left">H3K27me3 enhancement leading to acceleration of migration</td>
<td valign="top" align="left">Pancreatic cancer cells</td>
<td valign="top" align="left">EZH2 OE</td>
<td valign="top" align="left">TA and WH</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B74">Ma et al., 2018</xref></td>
</tr>
<tr>
<td valign="top" align="left">H3K9me2/3 reduction leading to inhibition of migration</td>
<td valign="top" align="left">Vascular smooth muscle cells&#x002A;</td>
<td valign="top" align="left">SUV39H1 siRNA</td>
<td valign="top" align="left">TA</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B152">Zhang et al., 2019a</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Melanoma cells</td>
<td valign="top" align="left">SUV39H1/2 inhibitor (chaetocin) and SETDB1 siRNA</td>
<td valign="top" align="left">TA and WH</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B34">Gerlitz and Bustin, 2010</xref>; <xref ref-type="bibr" rid="B78">Maizels et al., 2017</xref>; <xref ref-type="bibr" rid="B92">Orouji et al., 2019</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Liver cancer cells</td>
<td valign="top" align="left">SETDB1 siRNA</td>
<td valign="top" align="left">TA</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B139">Wong et al., 2016</xref>; <xref ref-type="bibr" rid="B157">Zhang et al., 2018</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Gastric cancer cells</td>
<td valign="top" align="left">SETDB1 siRNA</td>
<td valign="top" align="left">TA</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B90">Nishikawaji et al., 2016</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Lymphocytes</td>
<td valign="top" align="left">G9a siRNA and inhibitor (BIX01294)</td>
<td valign="top" align="left">TA and Collagen matrix assay</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B156">Zhang X. et al., 2016</xref>; <xref ref-type="bibr" rid="B77">Madrazo et al., 2018</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Glioma cells</td>
<td valign="top" align="left">SETDB1 and SUV39H1 siRNA, SUV39H1/2 inhibitor (chaetocin)</td>
<td valign="top" align="left">WH</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B116">Spyropoulou et al., 2014</xref>; <xref ref-type="bibr" rid="B113">Sepsa et al., 2015</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Breast cancer cells</td>
<td valign="top" align="left">SUV39H1 siRNA and SUV39H1/2 inhibitor (chaetocin)</td>
<td valign="top" align="left">TA and WH</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B147">Yokoyama et al., 2013</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Cervical cancer cells</td>
<td valign="top" align="left">G9a inhibitor (BIX01294)</td>
<td valign="top" align="left">TA and WH</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B18">Chen et al., 2017</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Lung cancer cells</td>
<td valign="top" align="left">G9a siRNA, inhibitor (BIX01294) and DN</td>
<td valign="top" align="left">TA and WH</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B17">Chen et al., 2010</xref>; <xref ref-type="bibr" rid="B46">Huang et al., 2017</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Colon cancer cells</td>
<td valign="top" align="left">SETDB1 siRNA</td>
<td valign="top" align="left">TA</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B148">Yu et al., 2019</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Melanoma cells</td>
<td valign="top" align="left">SUV39H1/2 inhibitor (chaetocin)</td>
<td valign="top" align="left">TA and WH</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B34">Gerlitz and Bustin, 2010</xref>; <xref ref-type="bibr" rid="B78">Maizels et al., 2017</xref></td>
</tr>
<tr>
<td valign="top" align="left">H3K9me2/3 enhancement leading to acceleration of migration</td>
<td valign="top" align="left">Vascular smooth muscle cells&#x002A;</td>
<td valign="top" align="left">SUV39H1 OE</td>
<td valign="top" align="left">TA</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B152">Zhang et al., 2019a</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Melanoma cells</td>
<td valign="top" align="left">SETDB1 OE</td>
<td valign="top" align="left">TA and WH</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B92">Orouji et al., 2019</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Liver cancer cells</td>
<td valign="top" align="left">SETDB1 OE</td>
<td valign="top" align="left">TA</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B157">Zhang et al., 2018</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Gastric cancer cells</td>
<td valign="top" align="left">SETDB1 OE</td>
<td valign="top" align="left">TA</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B90">Nishikawaji et al., 2016</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Breast cancer cells</td>
<td valign="top" align="left">SUV39H1 OE</td>
<td valign="top" align="left">TA</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B147">Yokoyama et al., 2013</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Lung cancer cells</td>
<td valign="top" align="left">G9a OE</td>
<td valign="top" align="left">TA</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B17">Chen et al., 2010</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Colon cancer cells</td>
<td valign="top" align="left">SETDB1 OE</td>
<td valign="top" align="left">TA</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B148">Yu et al., 2019</xref></td>
</tr>
<tr>
<td valign="top" align="left">Reduction in DNA methylation leading to inhibition of migration</td>
<td valign="top" align="left">Cortical interneurons&#x002A;</td>
<td valign="top" align="left">DNMT1 KO</td>
<td valign="top" align="left">Organotypic brain slice culture</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B95">Pensold et al., 2017</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Corneal epithelial cells&#x002A;</td>
<td valign="top" align="left">DNMT1 siRNA</td>
<td valign="top" align="left">WH</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B73">Luo et al., 2019</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Breast cancer cells</td>
<td valign="top" align="left">DNMT inhibitors (AZA, SGI, C02S)</td>
<td valign="top" align="left">TA and WH</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B114">Shafiei et al., 2008</xref>; <xref ref-type="bibr" rid="B122">Su et al., 2018</xref>; <xref ref-type="bibr" rid="B149">Yuan et al., 2019</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Prostate cancer cells</td>
<td valign="top" align="left">DNMT inhibitor (AZA)</td>
<td valign="top" align="left">WH</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B121">Strmiska et al., 2019</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Ovarian cancer cells</td>
<td valign="top" align="left">DNMT inhibitor (AZA)</td>
<td valign="top" align="left">TA</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B84">Meng et al., 2013</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Lung cancer cells</td>
<td valign="top" align="left">DNMT1, 3a siRNA, DNMT inhibitor (AZA)</td>
<td valign="top" align="left">TA and WH</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B82">Mateen et al., 2013</xref>; <xref ref-type="bibr" rid="B145">Yan et al., 2014</xref>; <xref ref-type="bibr" rid="B10">Bu et al., 2018</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Glioma cells</td>
<td valign="top" align="left">DNMT3a,b siRNA, DNMT inhibitor (AZA)</td>
<td valign="top" align="left">TA and WH</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B131">Wang et al., 2015</xref>; <xref ref-type="bibr" rid="B142">Xu et al., 2015</xref>; <xref ref-type="bibr" rid="B41">Guo et al., 2017</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Esophageal cancer cells</td>
<td valign="top" align="left">DNMT inhibitor (AZA)</td>
<td valign="top" align="left">WH</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B3">Ahrens et al., 2015</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Osteosarcoma cells</td>
<td valign="top" align="left">DNMT inhibitor (AZA)</td>
<td valign="top" align="left">WH</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B38">Gong et al., 2019</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Pancreatic cancer cells</td>
<td valign="top" align="left">DNMT3b siRNA</td>
<td valign="top" align="left">TA and WH</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B132">Wang et al., 2019</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Colon cancer cells</td>
<td valign="top" align="left">DNMT inhibitor (AZA)</td>
<td valign="top" align="left">WH</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B93">Oshima et al., 2019</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Trophoblasts</td>
<td valign="top" align="left">DNMT inhibitor (AZA)</td>
<td valign="top" align="left">TA</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B101">Rahnama et al., 2006</xref></td>
</tr>
<tr>
<td valign="top" align="left">DNA methylation enhancement leading to acceleration of migration</td>
<td valign="top" align="left">Lung cancer cells</td>
<td valign="top" align="left">DNMT3a OE</td>
<td valign="top" align="left">WH</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B145">Yan et al., 2014</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Liver cancer cells</td>
<td valign="top" align="left">DNMT3b OE</td>
<td valign="top" align="left">WH</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B141">Wu et al., 2019</xref></td>
</tr>
<tr>
<td valign="top" align="left">Histone acetylation elevation leading to inhibition of migration</td>
<td valign="top" align="left">Bone marrow-derived mesenchymal stem cells&#x002A;</td>
<td valign="top" align="left">HDAC inhibitor (TSA)</td>
<td valign="top" align="left">TA</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B68">Liu et al., 2018</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Neurons in <italic>C. elegans</italic> development&#x002A;</td>
<td valign="top" align="left">HDAC1 mutations and HDAC inhibitor (TSA)</td>
<td valign="top" align="left">Whole animal development</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B160">Zinovyeva et al., 2006</xref>; <xref ref-type="bibr" rid="B89">Nambiar et al., 2007</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Schwann cells&#x002A;</td>
<td valign="top" align="left">HDAC inhibitor (TSA)</td>
<td valign="top" align="left">TA</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B134">Wang et al., 2014</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Endothelial cells&#x002A;</td>
<td valign="top" align="left">HDAC7 siRNA</td>
<td valign="top" align="left">WH</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B86">Mottet et al., 2007</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Smooth muscle cells&#x002A;</td>
<td valign="top" align="left">HDAC4 siRNA and HDAC inhibitor (TSA)</td>
<td valign="top" align="left">TA</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B146">Yang et al., 2012</xref>; <xref ref-type="bibr" rid="B128">Usui et al., 2014</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Cardiac fibroblasts&#x002A;</td>
<td valign="top" align="left">HDAC1 inhibition (ellagic acid)</td>
<td valign="top" align="left">TA</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B67">Lin et al., 2019</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Dendritic cells&#x002A;</td>
<td valign="top" align="left">HDAC inhibitor (TSA)</td>
<td valign="top" align="left">TA</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B56">Kim et al., 2013</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Tenocytes&#x002A;</td>
<td valign="top" align="left">HDAC inhibitor (TSA)</td>
<td valign="top" align="left">WH</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B150">Zhang B. et al., 2016</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Melanoma cells</td>
<td valign="top" align="left">HDAC inhibitor (TSA)</td>
<td valign="top" align="left">TA and WH</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B34">Gerlitz and Bustin, 2010</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Breast cancer cells</td>
<td valign="top" align="left">HDAC2, 5, 8 siRNA, HDAC inhibitors (MS275, SB939, LBH, Tub, C02S, PCI-34051, VPA)</td>
<td valign="top" align="left">TA and WH</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B51">Jeon and Lee, 2010</xref>; <xref ref-type="bibr" rid="B154">Zhang et al., 2012</xref>; <xref ref-type="bibr" rid="B44">Hsieh et al., 2016</xref>; <xref ref-type="bibr" rid="B65">Li et al., 2016</xref>; <xref ref-type="bibr" rid="B122">Su et al., 2018</xref>; <xref ref-type="bibr" rid="B149">Yuan et al., 2019</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Ovarian cancer cells</td>
<td valign="top" align="left">HDAC3, 4 siRNA, HDAC inhibitor (TSA)</td>
<td valign="top" align="left">TA</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B42">Hayashi et al., 2010</xref>; <xref ref-type="bibr" rid="B2">Ahn et al., 2012</xref>; <xref ref-type="bibr" rid="B84">Meng et al., 2013</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Lung cancer cells</td>
<td valign="top" align="left">HDAC inhibitor (Silibinin)</td>
<td valign="top" align="left">TA</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B82">Mateen et al., 2013</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Esophageal cancer cells</td>
<td valign="top" align="left">HDAC inhibitor (MS-275)</td>
<td valign="top" align="left">WH</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B3">Ahrens et al., 2015</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Transformed macrophages</td>
<td valign="top" align="left">HDAC inhibitor (Butyrate)</td>
<td valign="top" align="left">TA</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B75">Maa et al., 2010</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Oral cancer cells</td>
<td valign="top" align="left">HDAC2 siRNA</td>
<td valign="top" align="left">WH</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B16">Chang et al., 2011</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Prostate cancer cells</td>
<td valign="top" align="left">HDAC inhibitor (VPA)</td>
<td valign="top" align="left">TA</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B136">Wedel et al., 2011</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Glioma cells</td>
<td valign="top" align="left">HDAC3 siRNA</td>
<td valign="top" align="left">TA and WH</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B159">Zhu et al., 2013</xref></td>
</tr>
<tr>
<td valign="top" align="left">Broad histone methylation inhibition leading to chromatin decondensation and inhibition of migration</td>
<td valign="top" align="left">Bone marrow-derived mesenchymal stem cells&#x002A;</td>
<td valign="top" align="left">DZNep</td>
<td valign="top" align="left">TA</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B68">Liu et al., 2018</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Tenocytes&#x002A;</td>
<td valign="top" align="left">MTA</td>
<td valign="top" align="left">WH</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B150">Zhang B. et al., 2016</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Chondrosarcoma</td>
<td valign="top" align="left">DZNep</td>
<td valign="top" align="left">WH</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B37">Girard et al., 2014</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Melanoma cells</td>
<td valign="top" align="left">MTA</td>
<td valign="top" align="left">TA and WH</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B34">Gerlitz and Bustin, 2010</xref></td>
</tr>
<tr>
<td valign="top" align="left">Histone H1 alterations leading to inhibition of migration</td>
<td valign="top" align="left">Melanoma cells</td>
<td valign="top" align="left">OE of histone H1 DN</td>
<td valign="top" align="left">TA</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B36">Gerlitz et al., 2007</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Glioma, osteosarcoma and gastric cancer cells</td>
<td valign="top" align="left">OE of histone H1 DN</td>
<td valign="top" align="left">TA</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B108">Sang et al., 2019</xref>; <xref ref-type="bibr" rid="B153">Zhang et al., 2019b</xref>; <xref ref-type="bibr" rid="B143">Xu et al., 2020</xref></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<attrib><italic>OE, over expression; DN, over expression of a dominant negative form; TA, transwell assay; WH, wound healing assay; SGI, Guadecitabine/SGI-110; MS275, Entinostat; Tub, Tubastatin A HCL; TSA, Trichostatin A; VPA, Valproic acid; DZNep, 3-Deazaneplanocin-A; MTA, 5&#x2032;-deoxy-5&#x2032;-methylthioadenosine.</italic></attrib>
</table-wrap-foot>
</table-wrap>
<p>Inhibition of DNA methylation by 5&#x2032;-aza-2&#x2032;-deoxycytidine (AZA) or by knockdown of DNMTs also inhibited cell migration while over-expression of DNMTs was shown to enhance cell migration (<xref ref-type="table" rid="T1">Table 1</xref>). Interference with histone H1 chromatin binding by over-expression of a dominant form composed of histone H1 C&#x2019;-terminal part or of phosphor-mimicking forms containing T to E mutations also altered cell migration rate (<xref ref-type="table" rid="T1">Table 1</xref>). Interference with chromatin condensation can be achieved also by increasing global histone acetylation through inhibition of nuclear histone deacetylases (HDACs) either by chemical inhibitors or by knockdown. As listed in <xref ref-type="table" rid="T1">Table 1</xref> and in a recent review (<xref ref-type="bibr" rid="B135">Wawruszak et al., 2019</xref>), such manipulations also interfere with cell migration.</p>
<p>In most of the described cases the interventions with heterochromatin formation (e.g., introduction of siRNA or addition of a chemical inhibitor) were introduced &#x2265;24 h before induction of migration. In such cases it is challenging to assess whether migration inhibition was due to failure of the cells to increase heterochromatin levels only upon receiving migration signals or due to alterations in their basal transcriptome. Changes in the basal transcriptome of non-migrating cells can turn it to a less favorable one for migration even before receiving any migration signals. This scenario is supported by the findings that the number of migration-altered genes and the degree of change at their expression levels are limited (<xref ref-type="bibr" rid="B50">Jacobson et al., 2018</xref>; <xref ref-type="bibr" rid="B111">Segal et al., 2018</xref>) as described below. Moreover, many of these experiments were done in cancer cells, which acquire a migration-supporting transcriptome already during the transformation process (<xref ref-type="bibr" rid="B61">Lamouille et al., 2014</xref>; <xref ref-type="bibr" rid="B24">Dhamija and Diederichs, 2016</xref>; <xref ref-type="bibr" rid="B45">Huang et al., 2019</xref>). Thus, in many cases it is hard to understand if basal heterochromatin levels or migration-induced heterochromatin levels are important for the migration process. Addressing this issue can be achieved by adding chemical inhibitors in parallel to the induction of migration as done only in few cases (<xref ref-type="bibr" rid="B34">Gerlitz and Bustin, 2010</xref>; <xref ref-type="bibr" rid="B51">Jeon and Lee, 2010</xref>; <xref ref-type="bibr" rid="B134">Wang et al., 2014</xref>; <xref ref-type="bibr" rid="B46">Huang et al., 2017</xref>; <xref ref-type="bibr" rid="B78">Maizels et al., 2017</xref>; <xref ref-type="bibr" rid="B68">Liu et al., 2018</xref>). In the future, this issue could be addressed by using degron-based systems (<xref ref-type="bibr" rid="B105">R&#x00F6;th et al., 2019</xref>) for rapid depletion of heterochromatin generating enzymes.</p>
<p>Notably, as described above, interference with signatures of both facultative and constitutive heterochromatin can interfere with cell migration rate suggesting that both types of heterochromatin can affect cellular properties important for the migration process.</p>
</sec>
<sec id="S4">
<title>Heterochromatin Roles in Cell Migration</title>
<sec id="S4.SS1">
<title>Heterochromatin Mechanical Roles</title>
<p>Increased heterochromatin levels in migrating cells are spread over large genomic regions as could be detected by immunostaining of heterochromatin markers in various cells such as melanoma cells (<xref ref-type="bibr" rid="B36">Gerlitz et al., 2007</xref>; <xref ref-type="bibr" rid="B34">Gerlitz and Bustin, 2010</xref>; <xref ref-type="bibr" rid="B78">Maizels et al., 2017</xref>) as well as by high resolution mapping of these markers by ChIP-seq analysis in the same melanoma cells (<xref ref-type="bibr" rid="B111">Segal et al., 2018</xref>). This pattern supports global changes in the physical properties of the nucleus, since a global increase in heterochromatin levels induced by divalent cations was shown to elevate the stiffness of the nucleus in both isolated nuclei (<xref ref-type="bibr" rid="B21">Dahl et al., 2005</xref>) and nuclei in whole cells (<xref ref-type="bibr" rid="B119">Stephens et al., 2019</xref>). On the other hand, over-expression of HMGN5 or HMGA1, chromatin architectural proteins that oppose histone H1 chromatin binding and compaction, led to a reduction in nuclear stiffness (<xref ref-type="bibr" rid="B32">Furusawa et al., 2015</xref>; <xref ref-type="bibr" rid="B112">Senigagliesi et al., 2019</xref>). Chromatin decondensation by chemical inhibitors such as HDAC inhibitors and the methyltransferase inhibitor DZNep also found to reduce nuclear stiffness (<xref ref-type="bibr" rid="B117">Stephens et al., 2017</xref>, <xref ref-type="bibr" rid="B118">2018</xref>; <xref ref-type="bibr" rid="B68">Liu et al., 2018</xref>; <xref ref-type="bibr" rid="B59">Krause et al., 2019</xref>). In agreement with this, atomic force microscopy (AFM) analysis of tenocytes and bone marrow-derived mesenchymal stem cells detected an increase in nuclear stiffness following induction of migration by chemokine-like agents (<xref ref-type="bibr" rid="B150">Zhang B. et al., 2016</xref>; <xref ref-type="bibr" rid="B68">Liu et al., 2018</xref>). Similar phenomenon was also reported in human and mouse CD4<sup>+</sup> T lymphocytes upon activation of migration by VCAM1 (<xref ref-type="bibr" rid="B156">Zhang X. et al., 2016</xref>).</p>
<p>A first indication that indeed global heterochromatinization supports cell migration by altering the nuclear mechanical properties emerged of the finding that a HDAC inhibitor inhibited melanoma cell migration during a short period of time (3 h) in a similar efficiency also when transcription was inhibited (<xref ref-type="bibr" rid="B34">Gerlitz and Bustin, 2010</xref>). More recently, a detailed analysis of colon cancer migration through confined spaces revealed that heterochromatin-dependent nuclear stiffness generated a bigger forward jump of the nucleus once it is extracted from a narrow pore (<xref ref-type="bibr" rid="B59">Krause et al., 2019</xref>). Thus counter-intuitively, heterochromatin increased nuclear elasticity to generate a better spring-like behavior of the nucleus that can better support movement of the whole cell. An additional 3D migration mode that may benefit from altered nuclear physical properties by global heterochromatin formation is the nuclear piston model, which was identified in primary human cells and can be activated in tumor cells by inhibition of matrix metallopeptidases (MMPs). MMPs cleave the extra cellular matrix to facilitate easier migration of cells. 3D migration by the nuclear piston mechanism involves forward pulling of the nucleus by the actomyosin system in cooperation with the nucleoskeleton linker protein Nesprin 3. Due to the narrow diameter of a cell migrating inside the ECM, nuclear pulling divides the cytoplasm into two compartments. In the anterior compartment, the forward pulling of the nucleus by the actomyosin system increases the intracellular pressure. This pressure was found to promote formation of lobopodial protrusions that support forward movement of the cell (<xref ref-type="bibr" rid="B98">Petrie et al., 2014</xref>, <xref ref-type="bibr" rid="B97">2017</xref>). Global heterochromatinization that increases nuclear stiffness may generate a nucleus that will not collapse and will deform only to the right degree that is required to compartmentalize the cytoplasm of a migrating cell (<xref ref-type="fig" rid="F1">Figure 1</xref>). During 2D migration, we hypothesize that increased nuclear stiffness could improve momentum transfer of forces generated by the actomyosin network at the back of the nucleus leading to a more efficient usage of these forces to move the nucleus forward.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption><p>A model of heterochromatin roles in migrating cells. Schematic representation of cells migrating through small pores while <bold>(A)</bold> increasing their heterochromatin levels or <bold>(B)</bold> leaving their heterochromatin levels low as before receiving the migration signals. Higher heterochromatin levels support better the migration process by the following mechanisms: (i) Heterochromatin-dependent stiffness of the nucleus leads to faster nuclear movement out of the restraining pore. (ii) Increased nuclear stiffness may help the actomyosin network to increase the intracellular pressure in the anterior of the cytoplasm to induce formation of lobopodial protrusions. (iii) Increased nuclear stiffness may protect the nucleus of mechanical insults, preventing nuclear envelope rupture and DNA damage such as double strand breaks (DSBs). (iv) Heterochromatin inhibits transcription of migration inhibitory factors (marked in gray) and of repressors of transcription (TF, marked in red) thus preventing transcriptional inhibition of migration promoting factors (marked in green). (v) Heterochromatin also prevents unnecessary transcriptional alterations.</p></caption>
<graphic xlink:href="fcell-08-00394-g001.tif"/>
</fig>
<p>Higher nuclear stiffness in migrating cells might increase resistance to shear stress that can tear the nucleus. Recent studies on the cell nucleus during 3D migration showed that this process is associated with nuclear blebbing, nuclear envelope rupture and DNA damage that are inversely linked to the diameter of the pores thorough which cells migrate (<xref ref-type="bibr" rid="B23">Denais et al., 2016</xref>; <xref ref-type="bibr" rid="B100">Raab et al., 2016</xref>; <xref ref-type="bibr" rid="B48">Irianto et al., 2017</xref>; <xref ref-type="bibr" rid="B99">Pfeifer et al., 2018</xref>; <xref ref-type="bibr" rid="B85">Mistriotis et al., 2019</xref>). Notably, chromatin decondensation by chemical inhibition of HDACs or methyltransferases was shown to increase nuclear blebbing, while induction of chromatin condensation by treating cells with a histone demethylase inhibitor was found to reduce nuclear blebbing (<xref ref-type="bibr" rid="B118">Stephens et al., 2018</xref>, <xref ref-type="bibr" rid="B119">2019</xref>). Thus, chromatin condensation during cell migration may increase the whole nucleus resistance to shear stress and reduces the susceptibility of DNA to breaks (<xref ref-type="fig" rid="F1">Figure 1</xref>). This hypothesis is supported by the findings that applying mechanical stress on nuclei either by pulling them into small micropipettes or by exposing cells to a biaxial extrinsic cyclic mechanical strain led to global chromatin condensation (<xref ref-type="bibr" rid="B47">Irianto et al., 2016</xref>; <xref ref-type="bibr" rid="B63">Le et al., 2016</xref>).</p>
</sec>
<sec id="S4.SS2">
<title>Heterochromatin in Transcriptional Control</title>
<p>One of the major roles of heterochromatin is considered to be repression of gene expression and transposons (<xref ref-type="bibr" rid="B4">Allshire and Madhani, 2018</xref>), however, a global reduction in transcription levels was found only in breast and ovarian cancer cells that were induced to migrate by an activated form of AR. This reduction was transient and prolonged for only 8 h (<xref ref-type="bibr" rid="B49">Isokane et al., 2008</xref>; <xref ref-type="bibr" rid="B124">Tanaka et al., 2012</xref>). In other cases such a repression was not identified (<xref ref-type="bibr" rid="B28">Fitsialos et al., 2007</xref>; <xref ref-type="bibr" rid="B22">Demuth et al., 2008</xref>; <xref ref-type="bibr" rid="B50">Jacobson et al., 2018</xref>; <xref ref-type="bibr" rid="B111">Segal et al., 2018</xref>). Moreover, active transcription is required for cell migration as the migration process continues for 8 h and more (<xref ref-type="bibr" rid="B34">Gerlitz and Bustin, 2010</xref>; <xref ref-type="bibr" rid="B81">Mason et al., 2019</xref>). Significantly, induction of migration is associated with specific changes in the cellular transcriptome in the scale of a few hundreds of genes (<xref ref-type="bibr" rid="B28">Fitsialos et al., 2007</xref>; <xref ref-type="bibr" rid="B22">Demuth et al., 2008</xref>; <xref ref-type="bibr" rid="B50">Jacobson et al., 2018</xref>; <xref ref-type="bibr" rid="B111">Segal et al., 2018</xref>). Using an EZH2-specific inhibitor to prevent H3K27 methylation upon induction of migration, in melanoma cells, revealed that H3K27 methylation is required for 33% of the 182 transcriptome changes in migrating cells. Surprisingly, H3K27 methylation was also found to prevent changes in 501 other genes that normally do not change upon induction of migration (<xref ref-type="bibr" rid="B111">Segal et al., 2018</xref>). Thus, migration-induced heterochromatinization is served not only to induce needed transcriptional changes, but also to prevent or to buffer unnecessary transcriptional changes. These unnecessary transcriptional changes may occur due to activation of transcription factors with multiple target genes of which only a fraction should be altered (<xref ref-type="fig" rid="F1">Figure 1</xref>). A buffering role of heterochromatin in migrating cells could be seen also in migration of neutrophil-like cells, where interference with 3D genome structures occurred to a higher extent in heterochromatin regions than in euchromatin regions (<xref ref-type="bibr" rid="B50">Jacobson et al., 2018</xref>).</p>
<p>Overall, recent studies indicate that heterochromatin in migrating cells has physical roles in nuclear biomechanics as well as genetic roles in regulation of transcription. Although it is tempting to speculate that constitutive heterochromatin is important for the former roles, while facultative heterochromatin is important for the later roles, a complete analysis to support such a hypothesis has not been done yet. The findings that heterochromatin is used both to modify transcription and to prevent transcriptional changes suggest that altering the transcriptome of migrating cells should interfere with their migration rate. Especially, if the interference starts hours before induction of migration, thus it can alter the basal transcriptome. Indeed, there are studies in which interference with euchromatin markers also inhibits cell migration (<xref ref-type="bibr" rid="B55">Kim et al., 2018</xref>; <xref ref-type="bibr" rid="B133">Wang et al., 2018</xref>; <xref ref-type="bibr" rid="B66">Liang et al., 2019</xref>).</p>
</sec>
</sec>
<sec id="S5">
<title>Concluding Remarks</title>
<p>Cell migration is a key process in metastasis formation in cancer. Indeed, several heterochromatin generating enzymes such as the H3K9 methyltransferases G9a and SETDB1 and the H3K27 methyltransferase EZH2 are considered oncogenes (<xref ref-type="bibr" rid="B125">Tiffen et al., 2015</xref>; <xref ref-type="bibr" rid="B53">Kang, 2018</xref>; <xref ref-type="bibr" rid="B7">Batham et al., 2019</xref>; <xref ref-type="bibr" rid="B13">Cao et al., 2019</xref>; <xref ref-type="bibr" rid="B127">Torrano et al., 2019</xref>), whereas the H3K27 demethylases UTX and JMJD3 are considered tumor suppressor genes, though exceptions can be found (<xref ref-type="bibr" rid="B5">Arcipowski et al., 2016</xref>; <xref ref-type="bibr" rid="B96">Perrigue et al., 2016</xref>). Epigenetic drugs that interfere with heterochromatin formation such as DNMT inhibitors and HDAC inhibitors are used in cancer treatment (<xref ref-type="bibr" rid="B15">Castillo-Aguilera et al., 2017</xref>; <xref ref-type="bibr" rid="B94">Pechalrieu et al., 2017</xref>; <xref ref-type="bibr" rid="B104">Roberti et al., 2019</xref>). Unfortunately, a first-order link between heterochromatin and cancer does not always exist. In recent years it has become apparent that cancer cell proliferation and migration may be supported by different transcriptional plans (<xref ref-type="bibr" rid="B88">Nair et al., 2019</xref>; <xref ref-type="bibr" rid="B71">Luo et al., 2020</xref>) as well as by different global chromatin organization features; in melanoma it seems that euchromatin supports better cell proliferation, whereas increased chromatin condensation (heterochromatin levels) better supports cell migration (<xref ref-type="bibr" rid="B6">Barsotti et al., 2015</xref>; <xref ref-type="bibr" rid="B78">Maizels et al., 2017</xref>). Thus, targeting cancer cells by a single epigenetic drug might be challenging.</p>
<p>The opposing effects of heterochromatin on cell migration and proliferation suggest that if a heterochromatin marker is kept at the end of the migration process as an epigenetic memory, it may interfere with proliferation. Indeed, in migrating melanoma cells H3K27me3 levels were shown to drop back to basal levels once migration ended (<xref ref-type="bibr" rid="B34">Gerlitz and Bustin, 2010</xref>). Still, further studies are required to reveal if epigenetic memory of previous migration episodes can be formed to enhance future migration sessions in non-proliferating cells or in cancer cells in which the proliferation process is not sensitive to high heterochromatin levels as in melanoma cells.</p>
<p>Heterochromatin spatial organization inside the nucleus is not uniform; in most differentiated cells a substantial part of heterochromatin accumulates at the nuclear periphery next to the nuclear envelope (<xref ref-type="bibr" rid="B129">van Steensel and Belmont, 2017</xref>). However, in relation to migration it was only found that activation of migration of CD4<sup>+</sup> T lymphocytes induced association of the H3K9 methyltransferase G9a with the nuclear envelope protein lamin B1 (<xref ref-type="bibr" rid="B156">Zhang X. et al., 2016</xref>). Thus, the spatial organization of heterochromatin in migrating cells is still unknown.</p>
<p>In recent years new links between heterochromatin and the nucleolus have been found. Pericentric heterochromatin is in close association with nucleoli while both structures use similar chromatin architectural proteins for their organization such as cohesion and HDACs (<xref ref-type="bibr" rid="B8">Bersaglieri and Santoro, 2019</xref>; <xref ref-type="bibr" rid="B62">Lawrimore and Bloom, 2019</xref>). Moreover, knockdown of the nucleolar protein STK35L1 was shown to reduce the migration rate of human endothelial cells (<xref ref-type="bibr" rid="B39">Goyal et al., 2011</xref>) and the histone acetyl transferase NAT10 was found to translocate from the nucleolus to the cytoplasm during colorectal transformation (<xref ref-type="bibr" rid="B151">Zhang et al., 2014</xref>). Thus, it is worthwhile to look for changes in nucleoli organization in migrating cells and for their roles in the migration process.</p>
<p>An additional important endeavor is to determine if heterochromatin formation upon induction of migration prevents DNA and nuclear damage during the migration process. To better understand the roles of heterochromatin in cell migration it is crucial to enlarge the pool of cell types and histone markers analyzed by next generation sequencing methods upon induction of migration in parallel to transcriptome analysis with and without interference with heterochromatin formation.</p>
<p>These suggested endeavors are important to further establish the emerging notion that chromatin in migrating cells is not a passive passenger, but rather an active player. Heterochromatin formation affects both nuclear mechanical properties and the transcriptome: heterochromatin adjusts the biomechanical properties of the nucleus for more efficient usage of force generated by the cytoskeleton as well as fine-tunes the cellular transcriptome while preventing changes that could impede cell migration rate.</p>
</sec>
<sec id="S6">
<title>Author Contributions</title>
<p>GG screened the literature and wrote the manuscript.</p>
</sec>
<sec id="conf1">
<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>
</body>
<back>
<fn-group>
<fn fn-type="financial-disclosure">
<p><bold>Funding.</bold> This work was supported by the Israel Cancer Association (20190028) and Ariel University.</p>
</fn>
</fn-group>
<ack>
<p>I would like to thank Tamar Listovsky, Lukasz Kaczmarczyk, Andrea Fracchia and Rosari Hernandez-Vicens for helpful comments on the manuscript.</p>
</ack>
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