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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="publisher-id">1217637</article-id>
<article-id pub-id-type="doi">10.3389/fcell.2023.1217637</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Cell and Developmental Biology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Quantitative super-resolution microscopy reveals the differences in the nanoscale distribution of nuclear phosphatidylinositol 4,5-bisphosphate in human healthy skin and skin warts</article-title>
<alt-title alt-title-type="left-running-head">Hoboth et al.</alt-title>
<alt-title alt-title-type="right-running-head">
<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fcell.2023.1217637">10.3389/fcell.2023.1217637</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Hoboth</surname>
<given-names>Peter</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2358340/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Sztacho</surname>
<given-names>Martin</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Quaas</surname>
<given-names>Alexander</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1368078/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Akg&#xfc;l</surname>
<given-names>Baki</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="fn" rid="fn1">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/435209/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Hoz&#xe1;k</surname>
<given-names>Pavel</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<xref ref-type="fn" rid="fn1">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2032599/overview"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Department of Biology of the Cell Nucleus</institution>, <institution>Institute of Molecular Genetics of the Czech Academy of Sciences</institution>, <addr-line>Prague</addr-line>, <country>Czechia</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Institute of Pathology</institution>, <institution>Medical Faculty and University Hospital Cologne</institution>, <addr-line>Cologne</addr-line>, <country>Germany</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Institute of Virology</institution>, <institution>University of Cologne</institution>, <institution>Medical Faculty and University Hospital Cologne</institution>, <addr-line>Cologne</addr-line>, <country>Germany</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Microscopy Centre</institution>, <institution>Institute of Molecular Genetics of the Czech Academy of Sciences</institution>, <addr-line>Prague</addr-line>, <country>Czechia</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/332812/overview">Eric C. Schirmer</ext-link>, University of Edinburgh, United Kingdom</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/1840730/overview">Marco Biggiogera</ext-link>, University of Pavia, Italy</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2113281/overview">Nullin Divecha</ext-link>, University of Southampton, United Kingdom</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Pavel Hoz&#xe1;k, <email>hozak@img.cas.cz</email>; Peter Hoboth, <email>hoboth@img.cas.cz</email>
</corresp>
<fn fn-type="equal" id="fn1">
<label>
<sup>&#x2020;</sup>
</label>
<p>These authors have contributed equally to this work and share last authorship</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>07</day>
<month>07</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>11</volume>
<elocation-id>1217637</elocation-id>
<history>
<date date-type="received">
<day>05</day>
<month>05</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>22</day>
<month>06</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2023 Hoboth, Sztacho, Quaas, Akg&#xfc;l and Hoz&#xe1;k.</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Hoboth, Sztacho, Quaas, Akg&#xfc;l and Hoz&#xe1;k</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>
<bold>Introduction:</bold> Imaging of human clinical formalin-fixed paraffin-embedded (FFPE) tissue sections provides insights into healthy and diseased states and therefore represents a valuable resource for basic research, as well as for diagnostic and clinical purposes. However, conventional light microscopy does not allow to observe the molecular details of tissue and cell architecture due to the diffraction limit of light. Super-resolution microscopy overcomes this limitation and provides access to the nanoscale details of tissue and cell organization.</p>
<p>
<bold>Methods:</bold> Here, we used quantitative multicolor stimulated emission depletion (STED) nanoscopy to study the nanoscale distribution of the nuclear phosphatidylinositol 4,5-bisphosphate (nPI(4,5)P2) with respect to the nuclear speckles (NS) marker SON.</p>
<p>
<bold>Results:</bold> Increased nPI(4,5)P2 signals were previously linked to human papillomavirus (HPV)-mediated carcinogenesis, while NS-associated PI(4,5)P2 represents the largest pool of nPI(4,5)P2 visualized by staining and microscopy. The implementation of multicolor STED nanoscopy in human clinical FFPE skin and wart sections allowed us to provide here the quantitative evidence for higher levels of NS-associated PI(4,5)P2 in HPV-induced warts compared to control skin.</p>
<p>
<bold>Discussion:</bold> These data expand the previous reports of HPV-induced increase of nPI(4,5)P2 levels and reveal for the first time the functional, tissue-specific localization of nPI(4,5)P2 within NS in clinically relevant samples. Moreover, our approach is widely applicable to other human clinical FFPE tissues as an informative addition to the classical histochemistry.</p>
</abstract>
<kwd-group>
<kwd>formalin-fixed paraffin-embedded tissue sections</kwd>
<kwd>STED nanoscopy</kwd>
<kwd>cell nucleus</kwd>
<kwd>human papillomavirus (HPV)</kwd>
<kwd>nuclear architecture</kwd>
<kwd>phosphatidylinositol 4,5-bisphosphate</kwd>
<kwd>nuclear speckles</kwd>
<kwd>quantitative image analysis</kwd>
</kwd-group>
<contract-num rid="cn001">LM2018129 68378050-KAV-NPUI LTC19048 LM2023050</contract-num>
<contract-num rid="cn002">CZ.02.1.01/0.0/0.0/16_013/0001775 CZ.02.1.01/0.0/0.0/18_046/0016045 CZ.02.1.01/0.0/0.0/18</contract-num>
<contract-num rid="cn003">TN02000122</contract-num>
<contract-num rid="cn004">CA19105 Stratagem 15214 EuroCellnet</contract-num>
<contract-num rid="cn005">AK 42/10-1</contract-num>
<contract-sponsor id="cn001">Ministry of Education, Youth and Science<named-content content-type="fundref-id">10.13039/501100003335</named-content>
</contract-sponsor>
<contract-sponsor id="cn002">European Regional Development Fund<named-content content-type="fundref-id">10.13039/501100008530</named-content>
</contract-sponsor>
<contract-sponsor id="cn003">Technology Agency of the Czech Republic<named-content content-type="fundref-id">10.13039/100014809</named-content>
</contract-sponsor>
<contract-sponsor id="cn004">European Cooperation in Science and Technology<named-content content-type="fundref-id">10.13039/501100000921</named-content>
</contract-sponsor>
<contract-sponsor id="cn005">Deutsche Forschungsgemeinschaft<named-content content-type="fundref-id">10.13039/501100001659</named-content>
</contract-sponsor>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Nuclear Organization and Dynamics</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1">
<title>1 Introduction</title>
<p>Human tissues have been collected and stored in biobanks for more than 100 years for educational and research purposes. At the turn of the 20th century more than 300 million of tissue specimens were stored only in the United States and accumulating at a rate of more than 20 million per year (<xref ref-type="bibr" rid="B3">Baker, 2012</xref>; <xref ref-type="bibr" rid="B90">Eiseman and Haga, 1999</xref>). The most practical way of archiving clinical samples is formalin fixation and paraffin embedding (FFPE), which preserves tissues for extended periods even at ambient temperatures (<xref ref-type="bibr" rid="B35">Ilgen et al., 2014</xref>; <xref ref-type="bibr" rid="B49">Lou et al., 2014</xref>). Visualization of morphological features by conventional light microscopy is still the most frequently used method for disease diagnosis and analysis of pathological hallmarks. For this purpose, FFPE tissue samples are first sectioned, mostly into the 4 &#x00B5;m thick sections, dewaxed and then stained. Immunohistochemistry, immunofluorescence, molecular profiling using <italic>in situ</italic> hybridization and other techniques are commonly performed using FFPE samples (<xref ref-type="bibr" rid="B42">Kokkat et al., 2013</xref>). Nevertheless, the diffraction limit of light curtails the detailed investigation of biological specimens by optical microscopy as it allows distinguishing objects only if they are &#x007E;&#x2009;200&#xa0;nm apart (<xref ref-type="bibr" rid="B1">Abbe, 1873</xref>; <xref ref-type="bibr" rid="B63">Rayleigh, 1896</xref>). The resolution limit depends on the wavelength and therefore it is possible to improve it using electrons instead of light (<xref ref-type="bibr" rid="B63">Rayleigh, 1896</xref>). Hence, if ultrastructural resolution is desired, pathology traditionally employs electron microscopy (<xref ref-type="bibr" rid="B60">Peddie and Collinson, 2014</xref>; <xref ref-type="bibr" rid="B61">Pinali and Kitmitto, 2014</xref>). However, it has significant limitations in routine clinical use, including cost, slow sample preparation, and limitations in multi-component and 3D imaging.</p>
<p>The invention of super-resolution microscopy (SRM) allowed to overcome the diffraction limit in optical microscopy and thereby enabled the resolution of fluorescently labeled molecules at the nanoscale (<xref ref-type="bibr" rid="B68">Schermelleh et al., 2010</xref>; <xref ref-type="bibr" rid="B47">Liu et al., 2015</xref>; <xref ref-type="bibr" rid="B77">Tam and Merino, 2015</xref>; <xref ref-type="bibr" rid="B80">Turkowyd et al., 2016</xref>). SRM achieves sub-diffraction limited resolution by either stochastic or deterministic temporal control of the fluorescence emission from only a subset of fluorophores from the total fluorophore population in the specimen. Stochastic control of fluorophore emission is the basis for single-molecule localization microscopy (SMLM), such as direct stochastic optical reconstruction microscopy (dSTORM) (<xref ref-type="bibr" rid="B26">Heilemann et al., 2008</xref>; <xref ref-type="bibr" rid="B81">van de Linde et al., 2011</xref>). Previously, single-color dSTORM in FFPE human breast cancer tissue provided insight into the nanoscale organization of the cell membrane marker HER2, the outer mitochondrial membrane protein TOM20 and Lamin B1, a component of the nuclear envelope (<xref ref-type="bibr" rid="B18">Creech et al., 2017</xref>). Deterministic control of fluorophore emission is utilized in stimulated emission depletion (STED) microscopy (<xref ref-type="bibr" rid="B27">Hell and Wichmann, 1994</xref>; <xref ref-type="bibr" rid="B41">Klar et al., 2000</xref>). Single-color STED microscopy has been previously used to visualize the details of the surface and intracellular HER2 cancer marker distribution (<xref ref-type="bibr" rid="B35">Ilgen et al., 2014</xref>). These pioneering SRM studies of human FFPE tissue sections (<xref ref-type="bibr" rid="B35">Ilgen et al., 2014</xref>; <xref ref-type="bibr" rid="B18">Creech et al., 2017</xref>) were, however, limited to a single color and lacked comparisons between cancer and healthy tissues. Thus, their descriptive nature rather served as a proof of principle for SRM in human clinical FFPE tissue sections. Here, we extended these previous efforts and optimized multicolor STED nanoscopy in human FFPE clinical tissue sections and implemented subsequent quantitative analyses of the nanoscale functional organization of nuclear antigens.</p>
<p>Nuclear speckles (NS) are sub-nuclear compartments that were earlier called interchromatin granule clusters (<xref ref-type="bibr" rid="B78">Thiry, 1993</xref>). NS are mainly composed of the proteins SON and SRRM2, pre-mRNA splicing factors (SFs), small nuclear ribonucleoprotein particles (snRNPs) and poly(A)<sup>&#x2b;</sup> RNAs (<xref ref-type="bibr" rid="B78">Thiry, 1993</xref>; <xref ref-type="bibr" rid="B56">Mintz et al., 1999</xref>; <xref ref-type="bibr" rid="B44">Lamond and Spector, 2003</xref>; <xref ref-type="bibr" rid="B66">Saitoh et al., 2004</xref>; <xref ref-type="bibr" rid="B24">Hall et al., 2006</xref>; <xref ref-type="bibr" rid="B74">Spector and Lamond, 2011</xref>; <xref ref-type="bibr" rid="B37">Ilik et al., 2020</xref>; <xref ref-type="bibr" rid="B36">Ilik and Aktas, 2021</xref>). NS are involved in gene expression, including pre-mRNA processing and mRNA export (<xref ref-type="bibr" rid="B62">Prasanth et al., 2003</xref>; <xref ref-type="bibr" rid="B11">Brown et al., 2008</xref>; <xref ref-type="bibr" rid="B7">Berchtold et al., 2018</xref>; <xref ref-type="bibr" rid="B15">Chen et al., 2018</xref>; <xref ref-type="bibr" rid="B14">Chen and Belmont, 2019</xref>; <xref ref-type="bibr" rid="B40">Kim et al., 2020</xref>; <xref ref-type="bibr" rid="B2">Alexander et al., 2021</xref>). When visualized by microscopy, the largest pool of nuclear PI(4,5)P2 (nPI(4,5)P2) as well as the enzymes involved in its biosynthesis appear in NS (<xref ref-type="bibr" rid="B10">Boronenkov et al., 1998</xref>; <xref ref-type="bibr" rid="B59">Osborne et al., 2001</xref>; <xref ref-type="bibr" rid="B12">Bunce et al., 2006</xref>; <xref ref-type="bibr" rid="B54">Mellman et al., 2008</xref>; <xref ref-type="bibr" rid="B53">Mellman and Anderson, 2009</xref>; <xref ref-type="bibr" rid="B72">Sobol et al., 2018</xref>; <xref ref-type="bibr" rid="B32">Hoboth et al., 2021c</xref>), suggesting a role of NS in the nPI(4,5)P2 metabolism. An earlier quantitative dual-color SRM study revealed specific co-patterning between nPI(4,5)P2 and the NS marker SON (<xref ref-type="bibr" rid="B32">Hoboth et al., 2021c</xref>). PI(4,5)P2 is a powerful signaling molecule with a plethora of functions ranging from the cell membrane to the nucleus (<xref ref-type="bibr" rid="B25">Hammond et al., 2004</xref>; <xref ref-type="bibr" rid="B22">Fiume et al., 2012</xref>; <xref ref-type="bibr" rid="B6">Balla, 2013</xref>; <xref ref-type="bibr" rid="B69">Shah et al., 2013</xref>). Nuclear PI(4,5)P2 play roles in the nuclear compartmentalization (<xref ref-type="bibr" rid="B53">Mellman and Anderson, 2009</xref>; <xref ref-type="bibr" rid="B22">Fiume et al., 2012</xref>; <xref ref-type="bibr" rid="B69">Shah et al., 2013</xref>; <xref ref-type="bibr" rid="B13">Castano et al., 2019</xref>; <xref ref-type="bibr" rid="B76">Sztacho et al., 2019</xref>), in the gene expression (<xref ref-type="bibr" rid="B16">Cocco et al., 1987</xref>; <xref ref-type="bibr" rid="B20">Divecha et al., 1991</xref>; <xref ref-type="bibr" rid="B51">Mazzotti et al., 1995</xref>; <xref ref-type="bibr" rid="B89">Zhao et al., 1998</xref>; <xref ref-type="bibr" rid="B88">York et al., 1999</xref>; <xref ref-type="bibr" rid="B12">Bunce et al., 2006</xref>; <xref ref-type="bibr" rid="B54">Mellman et al., 2008</xref>; <xref ref-type="bibr" rid="B46">Lewis et al., 2011</xref>; <xref ref-type="bibr" rid="B73">Sobol et al., 2013</xref>; <xref ref-type="bibr" rid="B87">Yildirim et al., 2013</xref>; <xref ref-type="bibr" rid="B72">Sobol et al., 2018</xref>; <xref ref-type="bibr" rid="B4">Balaban et al., 2023</xref>) and its interactors include NS-associated proteins (<xref ref-type="bibr" rid="B66">Saitoh et al., 2004</xref>; <xref ref-type="bibr" rid="B46">Lewis et al., 2011</xref>; <xref ref-type="bibr" rid="B38">Jacobsen et al., 2019</xref>; <xref ref-type="bibr" rid="B5">Balaban et al., 2021</xref>; <xref ref-type="bibr" rid="B75">Sztacho et al., 2021</xref>). Nevertheless, the precise link between NS functions and nPI(4,5)P2 remains elusive. Moreover, the visualization of SON within the tissue was so far limited to only few reports (<xref ref-type="bibr" rid="B23">George-Tellez et al., 2002</xref>; <xref ref-type="bibr" rid="B65">Saitoh et al., 2012</xref>; <xref ref-type="bibr" rid="B43">Kuga et al., 2016</xref>) and the information about nPI(4,5)P2 within the context of tissue is missing.</p>
<p>Interestingly, we recently described increased levels of nPI(4,5)P2 in mucosal and cutaneous squamous cell carcinoma (SCC) associated with infections by oncogenic human papillomaviruses (HPV). We therefore speculate that the increased nPI(4,5)P2 levels are a hallmark of HPV-induced tumorigenesis (<xref ref-type="bibr" rid="B50">Marx et al., 2018</xref>). These findings raised important questions regarding the role of nPI(4,5)P2 in epidermal tumorigenesis, including whether HPV types without oncogenic potential can also impact the nPI(4,5)P2. Chronic HPV infection of the cutaneous skin can be asymptomatic or cause benign skin warts, premalignant actinic keratosis or malignant SCC (<xref ref-type="bibr" rid="B33">Howley and Pfister, 2015</xref>; <xref ref-type="bibr" rid="B34">Hufbauer and Akg&#xfc;l, 2017</xref>; <xref ref-type="bibr" rid="B52">McBride, 2022</xref>). Here, we quantitatively assessed the nanoscale spatial co-patterning between nPI(4,5)P2 and SON in normal human FFPE skin sections and compared it with their co-distribution in HPV-induced skin warts.</p>
</sec>
<sec sec-type="results" id="s2">
<title>2 Results</title>
<sec id="s2-1">
<title>2.1 Stimulated emission depletion microscopy allows for the multicolor super-resolved imaging of nuclear antigens in human clinical formalin-fixed paraffin-embedded skin tissue sections</title>
<p>Surgically removed human FFPE skin biopsies were sectioned into 4&#xa0;&#xb5;m sections. Sections were dewaxed, and indirectly immunofluorescently labeled against NS marker SON and nPI(4,5)P2. Primary antibodies against SON and PI(4,5)P2 were recognized by secondary antibodies conjugated with Abberior Star 580 and Abberior Star 635P, the fluorophores suitable for STED (<xref ref-type="fig" rid="F1">Figure 1</xref>). Immunolabeled sections were then counterstained with Hoechst-JF503 to mark the nuclei. An overview of the epidermal part of the skin imaged by confocal microscopy showed Hoechst marked keratinocyte nuclei containing SON signals corresponding to NS and nPI(4,5)P2 (<xref ref-type="fig" rid="F1">Figure 1A</xref>). Localization of nPI(4,5)P2 to NS was previously documented in cultured cells (<xref ref-type="bibr" rid="B10">Boronenkov et al., 1998</xref>; <xref ref-type="bibr" rid="B54">Mellman et al., 2008</xref>; <xref ref-type="bibr" rid="B72">Sobol et al., 2018</xref>; <xref ref-type="bibr" rid="B31">Hoboth et al., 2021b</xref>; <xref ref-type="bibr" rid="B32">Hoboth et al., 2021c</xref>; <xref ref-type="bibr" rid="B52">McBride, 2022</xref>), but not in the tissue. We visualized nPI(4,5)P2 using the previously validated antibody clone 2C11 (<xref ref-type="bibr" rid="B10">Boronenkov et al., 1998</xref>; <xref ref-type="bibr" rid="B79">Thomas et al., 1999</xref>; <xref ref-type="bibr" rid="B54">Mellman et al., 2008</xref>; <xref ref-type="bibr" rid="B39">Kalasova et al., 2016</xref>; <xref ref-type="bibr" rid="B50">Marx et al., 2018</xref>; <xref ref-type="bibr" rid="B72">Sobol et al., 2018</xref>; <xref ref-type="bibr" rid="B5">Balaban et al., 2021</xref>; <xref ref-type="bibr" rid="B31">Hoboth et al., 2021b</xref>; <xref ref-type="bibr" rid="B32">Hoboth et al., 2021c</xref>). In human FFPE skin sections, PI(4,5)P2 displays a predominantly nuclear signal mostly overlapping with the SON signal, but is also present in the nucleoplasm (<xref ref-type="fig" rid="F1">Figures 1B&#x2013;E</xref>). The stratum corneum (SC), which provides the barrier function of the skin (<xref ref-type="bibr" rid="B55">Menon et al., 2012</xref>), also shows PI(4,5)P2 signal (<xref ref-type="fig" rid="F1">Figure 1A</xref>). This is consistent with the notion of SC being a lipid matrix containing phospholipids (<xref ref-type="bibr" rid="B82">van Smeden et al., 2014a</xref>; <xref ref-type="bibr" rid="B83">van Smeden et al., 2014b</xref>; <xref ref-type="bibr" rid="B71">Sjovall et al., 2022</xref>).</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Imaging of nuclear antigens in human FFPE skin sections. Overview of the sample <bold>(A)</bold>, zoomed in to the boxed region <bold>(B&#x2013;L)</bold>. Confocal <bold>(B&#x2013;D)</bold> and STED <bold>(F&#x2013;H)</bold> with deconvolution (J&#x2013;L) images of the same nucleus with Hoechst nuclear stain in cyan, SON in green and PI(4,5)P2 in magenta <bold>(A,B,F and J)</bold>. Individual SON <bold>(C,G and K)</bold> and PI(4,5)P2 <bold>(D, H, L)</bold> channels in Fire LUT with corresponding calibration bars. FI line scan <bold>(E, I, M)</bold> along the line in (<bold>B, F, J)</bold>, resp. scale bar 50&#xa0;&#xb5;m <bold>(A)</bold> or 5&#xa0;&#xb5;m <bold>(B&#x2013;L)</bold>.</p>
</caption>
<graphic xlink:href="fcell-11-1217637-g001.tif"/>
</fig>
<p>Keratinocyte nuclei showed signals of the nuclear speckles marker SON, forming cloud-like accumulations in the confocal images (<xref ref-type="fig" rid="F1">Figures 1B,C</xref>) similarly to the cultured human osteosarcoma U2OS cell line (<xref ref-type="sec" rid="s10">Supplementary Figure S1</xref>). SON localized in areas negative for the Hoechst signal (<xref ref-type="fig" rid="F1">Figures 1B,E</xref>), which is in line with the localization of NS to the interchromatin space (<xref ref-type="bibr" rid="B78">Thiry, 1993</xref>) and with the situation observed in U2OS cells (<xref ref-type="sec" rid="s10">Supplementary Figure S1</xref>). Nevertheless, the diffraction-limited confocal microscopy neither enables to precisely distinguish individual NS, nor to distinguish sub-diffraction limited foci of nPI(4,5)P2 (<xref ref-type="bibr" rid="B72">Sobol et al., 2018</xref>; <xref ref-type="bibr" rid="B31">Hoboth et al., 2021b</xref>; <xref ref-type="bibr" rid="B32">Hoboth et al., 2021c</xref>). Therefore, we investigated whether the same sample imaged using confocal microscopy is suitable for STED microscopy. For this purpose, we used 775&#xa0;nm STED laser to deplete both, Abberior Star 580 and Abberior Star 635P, fluorophores at the periphery of the scanning focal spot of either 580&#xa0;nm or 635&#xa0;nm excitation laser. Thereby we achieved sub-diffraction limited resolution in the individual nuclei of the FFPE tissue section (<xref ref-type="fig" rid="F1">Figures 1F&#x2013;H</xref>) previously imaged by confocal microscopy (<xref ref-type="fig" rid="F1">Figures 1B&#x2013;D</xref>). Comparison between the confocal images of the NS marker SON (<xref ref-type="fig" rid="F1">Figure 1C</xref>) and nPI(4,5)P2 (<xref ref-type="fig" rid="F1">Figure 1D</xref>) and STED images of the same antigens (<xref ref-type="fig" rid="F1">Figure 1</xref> G and H, resp.) illustrated the super-resolved details in the STED images (<xref ref-type="fig" rid="F1">Figures 1C,D</xref>) that were hidden in the confocal images (<xref ref-type="fig" rid="F1">Figures 1G,H</xref>). Fluorescence intensity (FI) profile of the STED image (<xref ref-type="fig" rid="F1">Figure 1I</xref>) showed narrower FI peaks compared to the peaks in the FI profile of the confocal image (<xref ref-type="fig" rid="F1">Figure 1E</xref>). This documented the improved resolution of the subnuclear details within FFPE tissue sections imaged by STED microscopy as compared to the confocal microscopy and demonstrated the feasibility of the STED super-resolution imaging in the clinical FFPE human tissue samples. Although the FI was generally reduced by STED (compare <xref ref-type="fig" rid="F1">Figures 1C,D</xref> with <xref ref-type="fig" rid="F1">Figures 1G,H</xref> resp.), deconvolution further improved the resolution of STED images.</p>
<p>Deconvolution is a mathematical operation that reassigns out-of-focus light to its origin and thereby improves the sharpness and contrast of the original images (<xref ref-type="bibr" rid="B84">Wallace et al., 2001</xref>; <xref ref-type="bibr" rid="B70">Sibarita, 2005</xref>; <xref ref-type="bibr" rid="B9">Bolte and Cordelieres, 2006</xref>). Therefore, we subjected the Z-stacks of STED images of individual keratinocyte nuclei to deconvolution using Huygens software (see Materials and Methods). <xref ref-type="fig" rid="F1">Figures 1F&#x2013;H</xref> shows the same nuclei as in <xref ref-type="fig" rid="F1">Figures 1B&#x2013;D</xref> with SON-580 (<xref ref-type="fig" rid="F1">Figure 1G</xref>) and PI(4,5)P2-635 (<xref ref-type="fig" rid="F1">Figure 1H</xref>) channels imaged by STED microscopy and subsequent deconvolution. A comparison of confocal images (<xref ref-type="fig" rid="F1">Figures 1C,D</xref>), raw STED images (<xref ref-type="fig" rid="F1">Figures 1G,H</xref>) and deconvoluted STED images (<xref ref-type="fig" rid="F1">Figures 1K,L</xref>) documented super-resolved details of the sub-diffraction limited organization of the keratinocyte NS that were hindered when imaged by confocal microscopy. Deconvolution of STED images smoothened the FI profiles (<xref ref-type="fig" rid="F1">Figure 1M</xref>) and suppressed the noise displayed by confocal (<xref ref-type="fig" rid="F1">Figures 1B&#x2013;E</xref>) as well as raw STED images (<xref ref-type="fig" rid="F1">Figures 1F&#x2013;I</xref>). Normalized FI line scan (<xref ref-type="fig" rid="F1">Figure 1M</xref>) further illustrated improved resolution achieved by STED microscopy (<xref ref-type="fig" rid="F1">Figure 1I</xref>) and subsequent deconvolution (<xref ref-type="fig" rid="F1">Figure 1M</xref>) in the FFPE tissue sections compared to confocal microscopy (<xref ref-type="fig" rid="F1">Figure 1E</xref>).</p>
<p>Taken together, we demonstrated the feasibility of STED super-resolution imaging of human FFPE skin tissue sections. In combination with deconvolution, this improves the fluorescence signals and suppresses the background noise. Furthermore, this pipeline was used to quantitatively evaluate the spatial relationships between the NS marker SON and PI(4,5)P2.</p>
</sec>
<sec id="s2-2">
<title>2.2 Quantitative STED microscopy reveals the nanoscale spatial relationship between nPI(4,5)P2 and the NS marker SON in human keratinocytes</title>
<p>The majority of nPI(4,5)P2 localizes to NS in cultured human cell lines when visualzied by immunofluorescence and microscopy (<xref ref-type="bibr" rid="B10">Boronenkov et al., 1998</xref>; <xref ref-type="bibr" rid="B54">Mellman et al., 2008</xref>; <xref ref-type="bibr" rid="B53">Mellman and Anderson, 2009</xref>; <xref ref-type="bibr" rid="B72">Sobol et al., 2018</xref>; <xref ref-type="bibr" rid="B30">Hoboth et al., 2021a</xref>; <xref ref-type="bibr" rid="B5">Balaban et al., 2021</xref>; <xref ref-type="bibr" rid="B31">Hoboth et al., 2021b</xref>; <xref ref-type="bibr" rid="B32">Hoboth et al., 2021c</xref>). However, the distribution of PI(4,5)P2 within the nuclei of human tissues is unknown. Therefore, we quantitatively evaluated the spatial relationship between the nPI(4,5)P2 and the NS marker SON in the individual keratinocyte nuclei in human FFPE skin sections (<xref ref-type="fig" rid="F2">Figure 2A</xref>). We acquired STED Z-stacks encompassing individual keratinocyte nuclei and subjected them to deconvolution. A comparison between confocal (<xref ref-type="fig" rid="F2">Figures 2B&#x2013;D</xref>) and deconvolved STED images (<xref ref-type="fig" rid="F2">Figures 2E&#x2013;G</xref>) showed improved resolution, which is critical for precise quantification of the acquired signals. We measured the Manders overlap (<xref ref-type="fig" rid="F2">Figure 2H</xref>) and Spearman rank correlation (<xref ref-type="fig" rid="F2">Figure 2I</xref>) between nuclear PI(4,5)P2 and SON. We calculated these coefficients using JaCoP (<xref ref-type="bibr" rid="B9">Bolte and Cordelieres, 2006</xref>) ImageJ2 (<xref ref-type="bibr" rid="B64">Rueden et al., 2017</xref>) plugin and compared them between the real images and images in which one channel was rotated 90&#xb0; with respect to the second channel (<xref ref-type="bibr" rid="B21">Dunn et al., 2011</xref>; <xref ref-type="bibr" rid="B31">Hoboth et al., 2021b</xref>; <xref ref-type="bibr" rid="B32">Hoboth et al., 2021c</xref>; <xref ref-type="bibr" rid="B58">Noordstra et al., 2022</xref>). Moreover, we also measured Manders and Pearson coefficients in the deconvolved STED Z-stacks of individual keratinocyte nuclei of the FFPE tissue sections that were immunolabeled only with one primary antibody, against NS marker SON, and two secondary antibodies against the anti-SON antibody, conjugated with either Abberior Star 580 or Abberior Star 635P (<xref ref-type="sec" rid="s10">Supplementary Figure S2</xref>). This procedure allowed us to find the best experimentally achievable degree of overlap and correlation between the two signals (<xref ref-type="bibr" rid="B32">Hoboth et al., 2021c</xref>). For the comparison, we also measured the PI(4,5)P2-to-SON Manders (<xref ref-type="fig" rid="F2">Figure 2H</xref>) and Pearson (<xref ref-type="fig" rid="F2">Figure 2I</xref>) coefficients in the deconvolved STED Z-stacks of the individual nuclei of fixed U2OS cells cultured in a monolayer (<xref ref-type="sec" rid="s10">Supplementary Figures S1A&#x2013;D</xref>). Finally, we immunofluorescently stained cultured U2OS cells with two secondary antibodies (one conjugated with Abberior Star 580 and other with Abberior Star 635P) against only the anti-SON primary antibody (<xref ref-type="sec" rid="s10">Supplementary Figures S1E&#x2013;H</xref>). Thereby, we measured the experimentally best achievable Manders overlap and Pearson correlation coefficients in the fixed monolayer U2OS cell nuclei.</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Quantitative image analysis of nuclear antigens in human FFPE skin sections. Overview of the sample <bold>(A)</bold>, zoomed in to the boxed region <bold>(B&#x2013;G)</bold>, confocal <bold>(B&#x2013;D)</bold> and STED with deconvolution <bold>(E&#x2013;G)</bold> images of the same nucleus with Hoechst nuclear stain in cyan, SON in green and PI(4,5)P2 in magenta. Scale bars 5&#xa0;&#xb5;m. Tukey plots of Manders overlap <bold>(H)</bold> and Pearson correlation <bold>(I)</bold> coefficients between PI(4,5)P2 and SON in the skin or U2OS nuclei, and between double labelled SON in the skin (S. dSON) or U2OS (U. dSON) nuclei and corresponding rotated images (90&#xb0;).</p>
</caption>
<graphic xlink:href="fcell-11-1217637-g002.tif"/>
</fig>
<p>Manders (M) overlap (0.08 &#xb1; 0.02; N &#x3d; 4; n &#x3d; 37) and Pearson (P) correlation (0.1 &#xb1; 0.01; N &#x3d; 4; n &#x3d; 37) coefficients between PI(4,5)P2-635 and SON-580 in the skin were significantly reduced (to 0.008 &#xb1; 0.002 and 0.006 &#xb1; 0.001 resp., both <italic>p</italic> &#x3c; 0.005) by rotating first channel 90&#xb0; with respect to the second channel (<xref ref-type="fig" rid="F2">Figures 2H,I</xref>). This indicates a specific, although low, overlap and correlation, between PI(4,5)P2 and SON in the keratinocyte nuclei. The M and P coefficients for the double-labeled SON in skin (S. dSON) indicated the best experimentally achievable overlap and correlation, as well as the super-resolved separation of the signal of two fluorophores conjugated to two physically distinct secondary antibodies. The M and P PI(4,5)P2-to-SON coefficients were 3-4 fold higher in U2OS cells cultured in a monolayer and reached the highest values among all evaluated data sets in the monolayer cultured U2OS cells in which SON was double-labelled with two fluorophores. In U2OS cells, both coefficients were also significantly reduced by rotating the first channel 90&#xb0; with respect to the second channel, indicating specific co-patterning of nPI(4,5)P2 with SON.</p>
<p>Taken together, we measured the specific spatial relationship between nPI(4,5)P2 and the NS marker SON in human FFPE skin tissue sections. Moreover, we compared it with the spatial relationship between nuclear PI(4,5)P2 and the NS marker SON in the U2OS cell line that we previously characterized by dSTORM (<xref ref-type="bibr" rid="B31">Hoboth et al., 2021b</xref>; <xref ref-type="bibr" rid="B32">Hoboth et al., 2021c</xref>). Higher M and P in cultured U2OS could be either due to the biological difference between different cell types or due to the processing of the FFPE tissue sections. Therefore, we further tested how the FFPE process affected the spatial co-patterning between PI(4,5)P2 and SON in cultured U2OS cells.</p>
</sec>
<sec id="s2-3">
<title>2.3 Processing of the samples affects the nanoscale patterning of the nuclear antigens</title>
<p>Given the differences between FFPE tissue sections and U2OS cells cultured in a monolayer even in the SON double-labeled controls, we investigated whether this was due to cell type differences or if FFPE processing affected the co-patterning of nPI(4,5)P2 with SON. To this end, we sectioned FFPE U2OS cells (4&#xa0;&#xb5;m sections) pre-processed in two slightly different ways and stained the sections using the same procedure as that for FFPE skin tissue sections. In the first pre-processing procedure (<xref ref-type="sec" rid="s10">Supplementary Figure S3</xref>), we first trypsinized and pelleted the U2OS cells cultured in a monolayer (pre-processing method 1; U2OS-1). We then fixed the cell pellet and embedded it in low melting agarose. We further processed the sample as tissue for paraffin embedding. In the second procedure (<xref ref-type="fig" rid="F3">Figure 3</xref>), we first fixed the U2OS cells in a monolayer, mechanically removed them from the culture surface and pelleted them (pre-processing method 2; U2OS-2). Next, we embedded the cell pellet in low melting agarose and then in paraffin.</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Control quantitative imaging of the nuclear antigens in FFPE U2OS cells. Overview of the sample <bold>(A)</bold>, zoomed in to the boxed region <bold>(B-D</bold>&#x2033;<bold>)</bold>, confocal <bold>(B-B</bold>&#x2033;<bold>)</bold> and STED <bold>(C-C</bold>&#x2033;<bold>)</bold> with deconvolution <bold>(D-D</bold>&#x2033;<bold>)</bold> images of the same nucleus with Hoechst nuclear stain in cyan, SON in green and PI(4,5)P2 in magenta. Scale bars 5&#xa0;&#xb5;m. Tukey plots of Manders overlap <bold>(E)</bold> and Pearson correlation <bold>(F)</bold> coefficients between PI(4,5)P2 and SON in FFPE U2OS nuclei or between double labelled SON in the FFPE U2OS nuclei (U. dSON) and corresponding rotated images (90&#xb0;). Tukey plots of Manders overlap <bold>(G)</bold> and Pearson correlation <bold>(H)</bold> coefficients between PI(4,5)P2 and SON in U2OS cells imaged in monolayer (U2OS), U2OS cells processed according to smethod 2 (U2OS-2) or method 1 (U2OS-1).</p>
</caption>
<graphic xlink:href="fcell-11-1217637-g003.tif"/>
</fig>
<p>We first captured the confocal overview of a section of FFPE U2OS-1 cell pellet immunofluorescently labeled for the NS markers SON-580 and PI(4,5)P2-635 (<xref ref-type="sec" rid="s10">Supplementary Figure S3A</xref>). Then we imaged individual nuclei from this sample by confocal microscopy (<xref ref-type="sec" rid="s10">Supplementary Figure S3B&#x2013;B&#x2033;</xref>). Next, we collected the STED (<xref ref-type="sec" rid="s10">Supplementary Figure S3C&#x2013;C&#x2033;</xref>) Z-stacks of these nuclei and subjected these data to deconvolution (<xref ref-type="sec" rid="s10">Supplementary Figure S3D&#x2013;D&#x2033;</xref>). In contrast to the keratinocyte nuclei in the skin tissue (<xref ref-type="fig" rid="F1">Figure 1</xref>; <xref ref-type="fig" rid="F2">Figure 2</xref>) and similarly to the nuclei of U2OS cells imaged on the glass surface in a monolayer (<xref ref-type="sec" rid="s10">Supplementary Figure S1</xref>), the nuclei of either U2OS-1 (<xref ref-type="sec" rid="s10">Supplementary Figure S3</xref>) or U2OS-2 (<xref ref-type="fig" rid="F3">Figure 3</xref>) pre-processed cells were wider and thinner even in the FFPE pellet. This morphological feature of U2OS cells, which is, at least in part, due to the flattening of the nuclei in the cells cultured in a monolayer on the coverslip surface, was preserved during sample preparation. Fixation of the cells after the pelleting (U2OS-1) resulted in the very low M (0.04 &#xb1; 0.007) and P (0.05 &#xb1; 0.007) coefficients of the overlap and correlations, between PI(4,5)P2 and SON (<xref ref-type="sec" rid="s10">Supplementary Figures S3E, F</xref>). This was presumably due to the disruption of cell morphology by removal of the living cells from the culture surface, which affects even the nuclear antigens, especially at the nanoscale uncovered by SRM. Processing of the U2OS cells fixed in the monolayer and then pelleted (U2OS-2) better preserved the nanoscale sub-nuclear organization, as documented by higher M (0.18 &#xb1; 0.03) and P (0.15 &#xb1; 0.02) coefficients (<xref ref-type="fig" rid="F3">Figures 3E,F</xref>) compared to the U2OS-1 sample (<xref ref-type="fig" rid="F3">Figures 3G,H</xref>). Nevertheless, PI(4,5)P2-to-SON M overlap and P correlation coefficients in U2OS-2 sample were lower compared to the U2OS cells fixed, stained and imaged in the monolayer, without paraffin embedding (<xref ref-type="fig" rid="F3">Figures 3G,H</xref>). This suggested that paraffin embedding and/or sectioning and processing of the FFPE sections affects the sub-nuclear architecture, at least when quantitatively analyzed at nanoscale by SRM. Moreover, the M (0.51 &#xb1; 0.04) and P (0.72 &#xb1; 0.04) coefficients for the double-labelled SON, indicating the best experimentally measurable overlap and correlation, were only slightly (but significantly; both <italic>p</italic> &#x3c; 0.05) lower than the M (0.75 &#xb1; 0.02) and P (0.84 &#xb1; 0.01) coefficients for the double-labelled SON in U2OS cells grown in monolayer cultures. The approx. half reduction of PI(4,5)P2-SON M and P coefficients between the U2OS-2 sample compared with the less extensively processed flat U2OS cells suggests that the SON protein antigen is better preserved during FFPE sample processing than the lipid PI(4,5)P2 antigen. Taken together, the quantitative comparison of the spatial co-patterning between PI(4,5)P2 and SON in FFPE U2OS cells and flat U2OS cells indicated that paraffin embedding, sectioning and subsequent processing of the sections before immunolabeling mildly but significantly affected the nanoscale organization of the nuclear antigens. This indicates that the differences measured between keratinocytes (<xref ref-type="fig" rid="F2">Figures 2H,I</xref>) and U2OS cells are not solely cell type specific but are also introduced by sample preparation. Next, we quantitatively evaluated the spatial co-patterning between PI(4,5)P2 and SON in human FFPE warts sections and compared them with skin sections that were processed in the exactly same fashion.</p>
</sec>
<sec id="s2-4">
<title>2.4 Nuclear PI(4,5)P2 differs between normal skin and skin warts</title>
<p>Increased levels of immunofluorescently labelled nPI(4,5)P2 in SCC have previously been linked to infections with oncogenic HPV (<xref ref-type="bibr" rid="B50">Marx et al., 2018</xref>). Nevertheless, the precise sub-nuclear localization of nPI(4,5)P2 was hindered due to the resolution limit of conventional microscopy. Benign HPV infection causes warts (<xref ref-type="bibr" rid="B48">Loo and Tang, 2014</xref>; <xref ref-type="bibr" rid="B33">Howley and Pfister, 2015</xref>; <xref ref-type="bibr" rid="B34">Hufbauer and Akg&#xfc;l, 2017</xref>), which can be removed by minimal surgical excision. Here we used STED microscopy to image and quantify the overlap and correlation between nPI(4,5)P2 and SON as well as the immunofluorescently labelled nPI(4,5)P2 and SON levels in human clinical FFPE warts sections and compare it with normal human skin (<xref ref-type="fig" rid="F4">Figure 4</xref>).</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>Imaging and quantification of the nuclear antigens in human FFPE warts sections. Overview of the sample <bold>(A)</bold>, zoom in to the boxed region <bold>(B&#x2013;G)</bold>, confocal <bold>(B&#x2013;D)</bold> and STED with deconvolution <bold>(E&#x2013;G)</bold> images of the same nucleus with Hoechst nuclear stain in cyan, SON in green and PI(4,5)P2 in magenta. Scale bar 5&#xa0;&#xb5;m <bold>(A)</bold> or 1&#xa0;&#xb5;m <bold>(B&#x2013;G)</bold>. Tukey plots of Manders overlap <bold>(H and J)</bold> and Pearson correlation <bold>(I and K)</bold> coefficients between PI(4,5)P2 and SON in wart nuclei and corresponding 90&#xb0; rotated images <bold>(H and I)</bold> and comparison between skin and wart nuclei <bold>(J and K)</bold>. Total SON <bold>(L)</bold> and PI(4,5)P2 <bold>(M)</bold> fluorescence intensity <bold>(F, I)</bold> in arbitrary units (a.u.) in skin and wart nuclei. Quantitative measurements for skin nuclei are in <bold>(J and K)</bold> the same as in <xref ref-type="fig" rid="F2">Figures 2H,I</xref>.</p>
</caption>
<graphic xlink:href="fcell-11-1217637-g004.tif"/>
</fig>
<p>Human skin warts were surgically removed and processed by FFPE as the above-analyzed skin tissue. FFPE warts were then sectioned into 4&#xa0;&#xb5;m sections and dewaxed prior to indirect immunofluorescence staining. Dewaxed wart sections were immunolabeled with primary antibody against SON recognized by secondary antibody conjugated with Abberior Star 580, and primary antibody against nPI(4,5)P2 and secondary antibody conjugated with Abberior Star 635P (<xref ref-type="fig" rid="F4">Figures 4A&#x2013;G</xref>). Nuclei were labeled by Hoechst-JF503. <xref ref-type="fig" rid="F4">Figure 4A</xref> shows an overview of the wart section and <xref ref-type="fig" rid="F4">Figures 4B&#x2013;D</xref> individual nuclei were imaged by confocal microscopy. A comparison of the confocal images (<xref ref-type="fig" rid="F4">Figures 4B&#x2013;D</xref>) with deconvolved STED nanographs of the same nuclei (<xref ref-type="fig" rid="F4">Figures 4E&#x2013;G</xref>) documented the feasibility of the multi-color SRM on another clinically relevant sample, human warts, in addition to the samples of normal human skin (<xref ref-type="fig" rid="F1">Figure 1</xref>; <xref ref-type="fig" rid="F2">Figure 2</xref>). Similarly to normal skin, in skin warts the nPI(4,5)P2 (<xref ref-type="fig" rid="F4">Figures 4E,G</xref>) displayed signal that mostly overlapped with the SON signal (<xref ref-type="fig" rid="F4">Figures 4E,G</xref>), but was also present in the nucleoplasm (<xref ref-type="fig" rid="F4">Figures 4E,G</xref>).</p>
<p>In the deconvolved STED Z-stacks of individual nuclei from the warts, we measured the M overlap (<xref ref-type="fig" rid="F4">Figure 4H</xref>) and P correlation (<xref ref-type="fig" rid="F4">Figure 4I</xref>) between nPI(4,5)P2 and SON. We compared M and P between the real images and images in which one channel was rotated 90&#xb0; with respect to the second channel. Significant reduction of both coefficients by rotating one channel in the dual-color images documented the specific overlap and correlation (<xref ref-type="bibr" rid="B21">Dunn et al., 2011</xref>; <xref ref-type="bibr" rid="B31">Hoboth et al., 2021b</xref>; <xref ref-type="bibr" rid="B32">Hoboth et al., 2021c</xref>; <xref ref-type="bibr" rid="B58">Noordstra et al., 2022</xref>) of nPI(4,5)P2 with SON in FFPE wart sections. Next, we compared the overlap and correlation of nPI(4,5)P2 with SON in the FFPE skin sections (<xref ref-type="fig" rid="F2">Figure 2</xref>) with the wart sections (<xref ref-type="fig" rid="F4">Figure 4</xref>). We measured significantly higher M (<xref ref-type="fig" rid="F4">Figure 4J</xref>) and P (<xref ref-type="fig" rid="F4">Figure 4K</xref>) in the nuclei in warts compared with the nuclei in skin. Finally, we measured the total SON-580 (<xref ref-type="fig" rid="F4">Figure 4L</xref>) and PI(4,5)P2-635 (<xref ref-type="fig" rid="F4">Figure 4M</xref>) fluorescence intensity (FI) and compared it between skin and wart nuclei. The total SON-580 FI did not significantly differ between skin and wart nuclei (<xref ref-type="fig" rid="F4">Figure 4L</xref>), but the total PI(4,5)P2-635 FI (<xref ref-type="fig" rid="F4">Figure 4M</xref>) was significantly higher in wart nuclei (<xref ref-type="fig" rid="F4">Figure 4G</xref>) compared to skin nuclei (<xref ref-type="fig" rid="F2">Figure 2G</xref>). This was consistent with the previous link between HPV infection and increased nPI(4,5)P2 staining (<xref ref-type="bibr" rid="B50">Marx et al., 2018</xref>). It also indicated that higher M overlap (<xref ref-type="fig" rid="F4">Figure 4J</xref>) and P correlation (<xref ref-type="fig" rid="F4">Figure 4K</xref>) between PI(4,5)P2 and SON is due to the increased nPI(4,5)P2 levels in warts nuclei and not due to the changes in the SON levels. Increased total nPI(4,5)P2 FI together with unchanged total SON FI, which resulted in the increased Manders coefficient, indicates that skin contain more nPI(4,5)P2 staining within SON<sup>&#x2b;</sup> NS compared to healthy skin.</p>
<p>In summary, STED nanoscopy combined with the deconvolution allowed us to quantitatively characterize the specific nanoscale co-patterning between nPI(4,5)P2 and SON in two different clinically relevant samples, normal skin and skin warts. Moreover, we quantitatively showed a higher overlap and correlation of nPI(4,5)P2 with SON in warts than in normal skin. Our data document the feasibility of the nanoscale analysis of the nuclear antigens in human clinical FFPE tissue sections, providing detailed information about nPI(4,5)P2 in human tissues and shows the differences between healthy and HPV-infected skin, which has potential clinical relevance.</p>
</sec>
</sec>
<sec sec-type="discussion" id="s3">
<title>3 Discussion</title>
<p>In this study, we present a quantitative multicolor SRM analysis of the functional nuclear architecture in human clinical FFPE tissue sections. The past decade has witnessed a rapid progress in the biology of the cell nucleus and increasing understanding of its functional organization in particular, owing to the progressive development and application of SRM techniques (<xref ref-type="bibr" rid="B67">Schermelleh et al., 2019</xref>; <xref ref-type="bibr" rid="B30">Hoboth et al., 2021a</xref>; <xref ref-type="bibr" rid="B45">Lelek et al., 2021</xref>). Nevertheless, many physiological and pathophysiological processes, such as viral infections, cellular transformation and oncogenesis, remain relatively unexplored, particularly in the context of tissues and organisms. This scarcity of data is even more prominent in human samples. Here, we revealed tissue-specific nuclear architecture and quantitatively assessed the differences between nuclei in human skin and warts at the nanoscale.</p>
<p>SRM studies of subcellular architecture at the nanoscale started with single-color STED imaging of cultured cells (<xref ref-type="bibr" rid="B86">Willig et al., 2006</xref>). The nanoscale tissue architecture was initially studied by single-color STED microscopy of dendritic spines in living organotypic slices from the mouse hippocampus (<xref ref-type="bibr" rid="B57">Nagerl et al., 2008</xref>) and then in the living mouse brain (<xref ref-type="bibr" rid="B8">Berning et al., 2012</xref>). Later, STED supplemented EM and biochemical analyses to render a high-resolution atlas of isolated synaptic boutons (<xref ref-type="bibr" rid="B85">Wilhelm et al., 2014</xref>). Multicolor SMLM provided further quantitative insights into the molecular architecture of chemical synapses in mouse brain cryo-sections (<xref ref-type="bibr" rid="B19">Dani et al., 2010</xref>). These studies were, however, limited to animal models. SRM studies of human samples involved cryo-preserved samples (<xref ref-type="bibr" rid="B17">Codron et al., 2021</xref>; <xref ref-type="bibr" rid="B28">Hernandez et al., 2022</xref>). However, FFPE represents the most practical way to archive and manipulate clinical samples (<xref ref-type="bibr" rid="B42">Kokkat et al., 2013</xref>; <xref ref-type="bibr" rid="B49">Lou et al., 2014</xref>). Indeed, various biobanks contain a vast amount of human tissues resected in clinical procedures and therefore provide a valuable, yet untapped source of healthy and diseased human tissues (<xref ref-type="bibr" rid="B3">Baker, 2012</xref>; <xref ref-type="bibr" rid="B90">Eiseman and Haga, 1999</xref>). Earlier single-color STED microscopy of human FFPE rectal cancer tissue revealed details of the mitochondrial architecture that was previously hindered by the diffraction barrier (<xref ref-type="bibr" rid="B35">Ilgen et al., 2014</xref>). Single-color SMLM in human FFPE breast cancer tissue allowed insights into the nanoscale organization of the cell membrane marker HER2, outer mitochondrial membrane protein TOM20 and Lamin B1, a component of the nuclear envelope (<xref ref-type="bibr" rid="B18">Creech et al., 2017</xref>). Nevertheless, single-color SRM allowed neither to study multiple markers simultaneously, nor to evaluate their mutual spatial relationships. Therefore, here we implemented multicolor STED imaging of human FFPE tissue sections followed by the image deconvolution and quantitative image analysis. The FFPE samples used in our study were 4&#x2013;5&#xa0;years old, which is consistent with previous findings demonstrating the suitability of STED super-resolution microscopy for revealing nanoscale protein distributions in tissues stored for decades in biorepositories (<xref ref-type="bibr" rid="B35">Ilgen et al., 2014</xref>). This pipeline is adaptable for the various quantitative analyses of the molecular signatures linked to various human physiological as well as pathophysiological conditions and thus allows to study the nanoscale details in clinically relevant FFPE specimens stored for years in various biobanks as a pretext for future personalized medicine (<xref ref-type="bibr" rid="B29">Hewitt, 2011</xref>). Here we used it to quantitatively analyze the nanoscale spatial relationship between nPI(4,5)P2 and the NS marker SON in normal human skin and skin warts.</p>
<p>Previous visualizations of NS in tissues used diffraction-limited confocal microscopy (<xref ref-type="bibr" rid="B23">George-Tellez et al., 2002</xref>; <xref ref-type="bibr" rid="B65">Saitoh et al., 2012</xref>; <xref ref-type="bibr" rid="B43">Kuga et al., 2016</xref>). This technique allowed neither the precise separation between individual NS nor gained insight into the detailed organization of individual NS. Super-resolution is hence critical for investigating the localization of nPI(4,5)P2 within the SON matrix (<xref ref-type="bibr" rid="B31">Hoboth et al., 2021b</xref>; <xref ref-type="bibr" rid="B32">Hoboth et al., 2021c</xref>). The STED nanoscopy followed by image deconvolution that we applied here allowed us to quantitatively evaluate the co-patterning of nPI(4,5)P2 with SON at the nanoscale context in healthy skin and skin warts, caused by HPV infection. We super-resolved here for the first time within the context of human clinical FFPE tissue the multiple nuclear antigens, specifically the molecular anatomy of NS and its associated nPI(4,5)P2 pool. Nanoscale protein and lipid interactions execute specific cellular functions and their impairment or hijacking by pathogens leads to the development and progression of disease (<xref ref-type="bibr" rid="B91">Rattay et al., 2023</xref>). Here, we quantitatively showed that, compared with healthy skin nuclei, the staining of SON<sup>&#x2b;</sup> NS-associated pool of nPI(4,5)P2 is increased in nuclei in HPV-induced wart. We have thus shown that elevated nPI(4,5)P2 staining is not only found in HPV-associated cancers (<xref ref-type="bibr" rid="B50">Marx et al., 2018</xref>), but also in benign skin lesions induced by low-risk HPV. Hence, one can envision that it is clinically important to gain quantitative insights into the nanoscale organization of human tissues in both healthy and diseased states. Our data presented here and the further application of quantitative SRM will help us to understand the nanoscale molecular organization associated with physiological as well as pathophysiological processes, including but not limited to virus infection, cellular transformation or oncogenesis.</p>
</sec>
<sec sec-type="materials|methods" id="s4">
<title>4 Material and methods</title>
<sec id="s4-1">
<title>4.1 Ethics statement</title>
<p>The collection and analysis of FFPE skin and warts sections was approved by the local ethics-committee at the Department of Pathology, University of Cologne, Germany. Written informed consent was obtained from all patients in accordance with the Declaration of Helsinki. For biopsy materials from archival paraffin blocks of human skin and warts informed consent was obtained from all the subjects and ethical approval obtained from the Ethics Committee at the University of Cologne. FFPE samples were collected between years 2018-2019 and thus archived for 4&#x2013;5 years before analysis presented in this study.</p>
</sec>
<sec id="s4-2">
<title>4.2 Cell cultures</title>
<p>U2OS cells were grown in DMEM with 10% FBS at 37&#xb0;C and 5% CO<sub>2</sub>. Cells were plated 1&#xa0;day before staining in &#x007E;&#xa0;50% confluence on the high-precision 12&#xa0;mm round coverslips with 1.5H thickness (Marienfeld 0107222).</p>
</sec>
<sec id="s4-3">
<title>4.3 Paraffin embedding and sectioning of cultured cells</title>
<p>U2OS cells were grown as above but to confluence in T-175 flasks. Cells in one flask (U2OS-1) were washed twice with PBS, removed by trypsinization in 0.05% trypsin in PBS with EDTA for 5&#xa0;min at 37&#xb0;C, washed off in 15&#xa0;mL PBS into the centrifugation tube, pelleted for 5&#xa0;min at 1,000 x <italic>g</italic>, washed and pelleted twice with PBS for 5&#xa0;min at 1,000 x <italic>g</italic>. Pellets were fixed by resuspending in 0.5&#xa0;mL of 2% PFA for 30&#xa0;min at RT, then washed and pelleted three times with 5&#xa0;mL of PBS for 5&#xa0;min at 1,000 x <italic>g</italic>. Supernatant was aspirated and fixed cell pellet was embedded in 1% low melting agarose dissolved at 37&#xb0;C (cells:agarose 1:4). Cells in second flask (U2OS-2) were rinsed twice by PBS and then fixed in flask by 2% PFA for 30&#xa0;min at RT, washed three times with PBS, scraped the cells in 15&#xa0;mL PBS, transferred into the centrifugation tube and pellet for 5&#xa0;min at 1,000 x <italic>g</italic>. Supernatant was then removed and cells were embedded in 1% low melting agarose dissolved at 37&#xb0;C (cells:agarose 1:4). Both agarose-embedded fixed cell pellets were dehydrated and penetrated with wax on automated tissue processor Leica ASP200S and blocks were created using Leica, E.G.,1150H paraffin embedding station with the following program: 70% EtOH 45&#xb0;C 2 &#xd7; 30 min, 95% EtOH 2 &#xd7; 30&#xa0;min, 1 &#xd7; 60&#xa0;min, 1 &#xd7; 90&#xa0;min; 100% xylene at 45&#xb0;C 2 &#xd7; 45&#xa0;min, 1 &#xd7; 90&#xa0;min; 100% paraffin at 65&#xb0;C 2 &#xd7; 60&#xa0;min, 1 &#xd7; 80&#xa0;min.</p>
</sec>
<sec id="s4-4">
<title>4.4 Sectioning of U2OS cells</title>
<p>Paraffin blocks were cooled for few minutes in the fridge/freezer before cutting. U2OS-1 and U2OS-2 FFPE samples were cut into 4&#xa0;&#xb5;m sections on Microtome Leica RM2255 and collected on polylysined slides with the water bath heated to 42&#xb0;C. Sections were removed from water bath, placed on polylysined slides and baked o/n at 42&#xb0;C. Slides were prepared as follows: washed by 96% EtOH, air-dried, incubated in 0.01% poly-L-Lysine for 10&#xa0;min and then baked for 1h at 60&#xb0;C or air dried at RT o/n.</p>
</sec>
<sec id="s4-5">
<title>4.5 Immunohistochemistry</title>
<p>FFPE sections were dewaxed by following washes: xylene: twice 4&#xa0;min; xylene 1:1 with 100% EtOH 4&#xa0;min; 96% EtOH: 2 &#xd7; 4&#xa0;min; 90% EtOH 4&#xa0;min; 70% EtOH 4&#xa0;min; 50% EtOH 4&#xa0;min; rinse in cold water. Sections were incubated in 0.1% Triton X-100 in PBS for 20&#xa0;min, washed 3-times for 5&#xa0;min by PBS and blocked in filtered 5% BSA in PBS for 30&#xa0;min. Cells were incubated for 60&#xa0;min with primary antibodies diluted in 5% BSA in PBS, washed 3-times for 5&#xa0;min in PBS and incubated for 40&#xa0;min with secondary antibodies diluted in 5% BSA in PBS. Then the cells were incubated with 1&#xa0;mM Hoechst-JF503 (Janelia Farm) in PBS for 5&#xa0;min, washed twice 5&#xa0;min in PBS, dip in ddH2O, air-dry at RT and mount coverslips on microscopy glass in 5&#xa0;uL of 90% glycerol with 4% n-Propyl gallate (Sigma).</p>
</sec>
<sec id="s4-6">
<title>4.6 Immunocytochemistry</title>
<p>The cells were washed twice with PBS (pH 7.4) and fixed for 30&#xa0;min in 2% PFA in PBS, washed 3-times for 5&#xa0;min with PBS, then permeabilized in 0.1% Triton X-100 in PBS for 20&#xa0;min, washed 3-times for 5&#xa0;min by PBS and blocked in filtered 5% BSA in PBS for 30&#xa0;min. Cells were incubated for 45&#xa0;min with primary antibodies diluted in 5% BSA in PBS, washed 3-times for 5&#xa0;min in PBS and incubated for 30&#xa0;min with secondary antibodies diluted in 5% BSA in PBS. Then the cells were incubated with 1&#xa0;mM Hoechst-JF503 (Janelia Farm) in PBS for 5&#xa0;min, washed twice 5&#xa0;min in PBS, dip in ddH2O, air-dry at RT and mount coverslips on high-precission 1.5H square 18 &#x00D7; 18&#x00a0;mm coverslips glass (Zeiss) in 5&#xa0;uL of NPG mounting media.</p>
</sec>
<sec id="s4-7">
<title>4.7 Antibodies</title>
<p>Following primary antibodies and concentrations were used: mouse ascites IgM anti-PI(4,5)P2 2C11 (Z-A045; Echelon Biosci. Inc., United States) 5&#xa0;&#x3bc;g/mL; rabbit polyclonal IgG anti-SON (ab121759; Abcam, United Kingdom) 1&#xa0;&#x3bc;g/mL. Following secondary antibodies and concentrations were used: goat anti-mouse IgG Abberior STAR 635P (ST635P-1001-500UG; Abberior) 10&#xa0;&#x3bc;g/mL; goat anti-rabbit IgG Abberior STAR 635P (ST635P-1002-500UG; Abberior) 10&#xa0;&#x3bc;g/mL; goat anti-mouse IgG Abberior STAR 580 (ST580-1002-500UG; Abberior) 10&#xa0;&#x3bc;g/mL.</p>
</sec>
<sec id="s4-8">
<title>4.8 Confocal and STED microscopy</title>
<p>Imaging was performed on Leica TCS SP8 STED 3x inverted DMi8 microscope with pulsed white light laser 470&#x2013;640&#xa0;nm 1.5 mW and 775&#xa0;nm pulse STED laser &#x3e;1.5&#xa0;W controlled by Leica Application Suite X software and equipped with HC PL APO CS2 100x/1.40 OIL objective used with Leica Type F immersion oil n &#x3d; 1.518. Unidirectional xyz scanning speed was 400&#xa0;Hz, line accumulation 6 for Hoechst-JF503 and 8 for SON-580 or PI(4,5)P2-635. Pixel size 20&#xa0;nm in X and Y for STED and 30&#xa0;nm for confocal and 100&#xa0;nm in Z. Channel 1 (Hoechst-JF503): 10% 503&#xa0;nm laser; 10% 503&#xa0;nm laser; PMT Gain 700. Channel 2 (Abberior STAR 580): 10% 585&#xa0;nm laser; 775 Notch filter; 80% 775&#xa0;nm STED laser, 30% 3D STED; Hybrid detector (HyD) 589&#x2013;616&#xa0;nm, photon-counting mode, gain 100, gating 0.4&#x2013;10 ns. Channel 3 (Abberior STAR 635P): 7% 633&#xa0;nm laser; 775 Notch filter; 50% 775&#xa0;nm STED laser; 30% 3D STED; HyD 639&#x2013;698&#xa0;nm, photon-counting mode, gain 100, gating 0.3&#x2013;10 ns. Sequential scanning; STED laser off for confocal.</p>
</sec>
<sec id="s4-9">
<title>4.9 Deconvolution</title>
<p>Z-stacks of STED images were deconvolved using Huygens Professional 22.10 software (Scientific Imaging B.V.). Data sets were processed using Workflow Processor. The workflow consisted of selecting images, setting up the microscopy and deconvolution parameters and saving deconvolved images as 8-bit TIFF single files for individual channels (which were later used for the quantitative analyses; see below). Microscopy parameters were optimized and set as follows. Sampling intervals were &#x2264;20&#xa0;nm in X and Y and &#x2264;20&#xa0;nm in Z. Numerical aperture was 1.4; refractive indexes of the lens immersion oil was 1.518 and of the embedding media 1.458; objective quality was good, coverslip position was 0&#xa0;&#xb5;m and imaging direction was downward. For STED channel 1, which corresponded to SON-580 the backprojected pinhole was 195&#xa0;nm; excitation (ex.) and emission (em.) wavelengths (<italic>&#x3bb;</italic>) were 585 and 602&#xa0;nm, resp., ex. fill factor 2. STED depletion mode was pulsed, saturation factor 20, STED <italic>&#x3bb;</italic> &#x3d; 775, STED immunity factor 10 and STED 3X was 30%. For STED channel 2, which corresponded to PI(4,5)P2-635 were all parameters the same, with the following exceptions. Backprojected pinhole was 216&#xa0;nm; ex. and em. <italic>&#x3bb;</italic> were 633 and 651&#xa0;nm, resp. and STED saturation factor 25. Classic MLE algorithm with stabilization of Z-slices was used for all channels with the following specifications for Hoechst-JF503 channel: theoretical PSF mode; max. iterations 20; optimized iteration mode; 0.01% quality change threshold; 3.9 signal-to-noise ratio; acuity mode on; background mode&#x2014;lowest value; background estimation radius 0.7; relative background 0. Specifications that differed for SON-580 or PI(4,5)P2 channels from Hoechst-JF503 channel: max. iterations 15; signal-to-noise ratio was 4 for SON-580 and 5.1 for PI(4,5)P2.</p>
</sec>
<sec id="s4-10">
<title>4.10 Image analyses</title>
<p>All quantifications were performed on deconvolved STED images. Fluorescence intensity (FI) profiles, pseudo-coloring, Fire LUT assignment, image post-processing for figures, FI measurements and one-channel rotation were done in ImageJ2 (<xref ref-type="bibr" rid="B64">Rueden et al., 2017</xref>). Manders and Pearson coefficients were calculated using JaCoP plug-in (<xref ref-type="bibr" rid="B9">Bolte and Cordelieres, 2006</xref>) for individual planes of a Z-stack after Moments auto-threshold was applied on deconvolved STED Z-stacks. Images were batch processed using self-written macro. Figures were created in Adobe Illustrator.</p>
</sec>
<sec id="s4-11">
<title>4.11 Graphs and statistics</title>
<p>Tukey whiskers plots and statistical evaluations were done in Prism (GraphPad). Paired, one-tailed <italic>t</italic>-test was used for the comparison between real and rotated images. Mann-Whitney test was used for comparison between various samples. Statistical significance: &#x2a;<italic>p</italic> &#x3c; 0.05; &#x2a;&#x2a;<italic>p</italic> &#x3c; 0.01; &#x2a;&#x2a;&#x2a;<italic>p</italic> &#x3c; 0.005. We measured 32 skin nuclei in 5 independent stainings of sections from two independent FFPE tissue blocks and 27 warts nuclei nuclei in 5 independent stainings of sections from two independent FFPE tissue blocks.</p>
</sec>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s5">
<title>Data availability statement</title>
<p>The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s)/DOI: 10.5281/zenodo.8060866 and 10.5281/zenodo.8060840 can be found here: <ext-link ext-link-type="uri" xlink:href="https://zenodo.org/record/8060840">https://zenodo.org/record/8060840</ext-link> and <ext-link ext-link-type="uri" xlink:href="https://zenodo.org/record/8060866">https://zenodo.org/record/8060866</ext-link>.</p>
</sec>
<sec id="s6">
<title>Author contributions</title>
<p>PeH conceptualization, investigation, methodology, analysis, data curation, validation, visualization, writing; MS conceptualization, analysis, data curation, validation, visualization, writing; AQ patient samples preparation, writing; BA supervision, funding, conceptualization, writing; PaH supervision, funding, conceptualization, writing. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="s7">
<title>Funding</title>
<p>This work was supported by ERDF CZ.02.1.01/0.0/0.0/16_013/0001775; CZ.02.1.01/0.0/0.0/18_046/0016045 and TACR TN02000122 RETEMED and subproject TN02000122/001N TEREP; TACR project CAEPO TN02000020 and subproject TN02000020/004N. We acknowledge the Light Microscopy Core Facility, IMG, Prague, Czech Republic, supported by MEYS (LM2018129, CZ.02.1.01/0.0/0.0/18_046/0016045) and RVO: 68378050-KAV-NPUI, for their support with the confocal and STED microscopy and with the image analysis; Vini&#x010D;n&#x00E1; Microscopy Core Facility (VMCF), Faculty of Science, Charles Uni. Prague (LM2023050) for their support with image processing MEYS CR COST Inter-excellence internship LTC19048, LTC20024, Action 15214 EuroCellnet and Action CA19105 Stratagem. BA was supported by the German Research Foundation (Grant AK 42/10-1).</p>
</sec>
<ack>
<p>We are grateful to Wiebke Jeske, Institute of Pathology, University Hospital Cologne, for sectioning of human skin and skin warts and Dominik Pinkas for providing us with 3D printed boxes for slides shipment. We acknowledge the support with STED microscopy and image analysis from Jan Vale&#x10d;ka, Ivan Novotn&#xfd; and Helena Chmelov&#xe1; from the Light Microscopy Core Facility, IMG, Prague and support with image processing by Vini&#x10d;n&#xe1; Microscopy Core Facility (VMCF), Faculty of Science, Charles Uni. Prague. We also thank Jakub Onhajzer and histology lab at the Institute of Molecular Genetics of the Czech Academy of Science for their help with paraffin embedding and sectioning of U2OS cells, to Iva Jel&#xed;nkov&#xe1; for assiatence with cell cultures and staining of sections, Lenka Pi&#x161;lov&#xe1; for the administrative assistance and Pavel K&#x159;&#xed;&#x17e; for the lab management. Hoechst-JF503 was a kind gift from Luke Lavis, HHMI Janelia Farm, VA, United States.</p>
</ack>
<sec sec-type="COI-statement" id="s8">
<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="s9">
<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>
<sec id="s10">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fcell.2023.1217637/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fcell.2023.1217637/full&#x23;supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="DataSheet1.pdf" id="SM1" mimetype="application/pdf" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
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