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<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">1501540</article-id>
<article-id pub-id-type="doi">10.3389/fcell.2024.1501540</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>Optimization of H9c2 differentiation leads to calcium-active and striated cardiac cells without addition of retinoic acid</article-title>
<alt-title alt-title-type="left-running-head">Brock and H&#xf6;rning</alt-title>
<alt-title alt-title-type="right-running-head">
<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fcell.2024.1501540">10.3389/fcell.2024.1501540</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Brock</surname>
<given-names>Judith</given-names>
</name>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/Writing - review &#x26; editing/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>H&#xf6;rning</surname>
<given-names>Marcel</given-names>
</name>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1176027/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/project-administration/"/>
<role content-type="https://credit.niso.org/contributor-roles/software/"/>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
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<role content-type="https://credit.niso.org/contributor-roles/Writing - review &#x26; editing/"/>
</contrib>
</contrib-group>
<aff>
<institution>Institute of Biomaterials and Biomolecular Systems</institution>, <institution>University of Stuttgart</institution>, <addr-line>Stuttgart</addr-line>, <country>Germany</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/590808/overview">Shamik Sen</ext-link>, Indian Institute of Technology Bombay, India</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/823572/overview">Viviana Claudia Blank</ext-link>, University of Buenos Aires, Argentina</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2132918/overview">Mahesh Agarwal</ext-link>, University of California, Los Angeles, United States</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Marcel H&#xf6;rning, <email>marcel.hoerning@bio.uni-stuttgart.de</email>
</corresp>
</author-notes>
<pub-date pub-type="epub">
<day>22</day>
<month>11</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>12</volume>
<elocation-id>1501540</elocation-id>
<history>
<date date-type="received">
<day>04</day>
<month>10</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>08</day>
<month>11</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2024 Brock and H&#xf6;rning.</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Brock and H&#xf6;rning</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>As a reliable alternative to animal testing in cardiovascular research, it is crucial to improve differentiation of immortalized cell lines. In this study, we focused on optimizing the differentiation efficiency of the H9c2 cell line into cardiomyocytes using a high-throughput, automated image processing approach. While previous studies used protocols involving retinoic acid to enhance cardiac differentiation, we applied a simplified medium composition that results in higher differentiation rates. Along that line, we differentiated H9c2 cells into cardiomyocytes, which not only showed sarcomere-characteristic striation but also periodic intracellular calcium signaling for the first time. As a second step, we examined the potential application of polyacrylamide hydrogels (<inline-formula id="inf1">
<mml:math id="m1">
<mml:mrow>
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</inline-formula> kPa) with defined fibronectin coating densities. The optimum fibronectin density of 2.6&#xa0;&#x3bc;g/cm<sup>2</sup> found for single cells was investigated to further improve the differentiation efficiency. However, the differentiation and proliferation dynamics dominate the adhesion forces between the cells and the hydrogel, and thus, result in premature clustering and detachment. In conclusion, we identified an optimized differentiation protocol and provided a basis for the further investigation necessary to potentially use hydrogels as natural cell environment, aiming to raise the differentiation efficiency even more.</p>
</abstract>
<kwd-group>
<kwd>H9c2</kwd>
<kwd>cardiomoycytes</kwd>
<kwd>ECM</kwd>
<kwd>differentiation</kwd>
<kwd>calcium signaling</kwd>
<kwd>retinoic acid</kwd>
<kwd>hydrogels</kwd>
</kwd-group>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Cell Adhesion and Migration</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1">
<title>1 Introduction</title>
<p>Cardiovascular diseases have been the leading cause of death worldwide for decades. The necessity to find and improve methods of treatment and to conduct research in the field of cardiac regenerative medicine is thus immense. Typical functional cardiac diseases are hypertrophy, arrhythmias and cardiomyopathies (<xref ref-type="bibr" rid="B46">Ravi et al., 2021</xref>). Primary heart cells, particularly cardiomyocytes, are often used to gain knowledge about fundamental heart conditions (<xref ref-type="bibr" rid="B36">Nakayama et al., 2007</xref>; <xref ref-type="bibr" rid="B22">Gigu&#xe8;re et al., 2018</xref>; <xref ref-type="bibr" rid="B25">H&#xf6;rning et al., 2012</xref>). As alternative cell systems, biomedical studies regularly investigate embryonic stem cells (ESCs) and induced pluripotent stem cells (iPSCs), which can differentiate into distinct cell types including cardiac cells (<xref ref-type="bibr" rid="B3">Boheler et al., 2002</xref>; <xref ref-type="bibr" rid="B39">Ohno et al., 2013</xref>; <xref ref-type="bibr" rid="B37">Narazaki et al., 2008</xref>). While both primary and stem cells exhibit similar morphology and behavior as <italic>in-vivo</italic> cells, they also have downsides like ethical concerns, tumor formation, or high expenses (<xref ref-type="bibr" rid="B45">Peter et al., 2016</xref>; <xref ref-type="bibr" rid="B38">Nori et al., 2015</xref>). Therefore, immortalized cardiac cell lines, such as HL-1, AC16, or H9c2, still serve as essential tools in research (<xref ref-type="bibr" rid="B54">White et al., 2004</xref>; <xref ref-type="bibr" rid="B12">Davidson et al., 2005</xref>; <xref ref-type="bibr" rid="B30">Kimes and Brandt, 1976</xref>).</p>
<p>H9c2 cells were originally isolated from embryonic rat ventricular tissue and are of special interest because they can differentiate into both skeletal and cardiac muscle cells (<xref ref-type="bibr" rid="B30">Kimes and Brandt, 1976</xref>; <xref ref-type="bibr" rid="B35">M&#xe9;nard et al., 1999</xref>; <xref ref-type="bibr" rid="B4">Branco et al., 2015</xref>). The differentiation into cardiomyocytes is triggered by the addition of retinoic acid to medium with a low serum concentration. So far, this cell line has been used to investigate cardiotoxicity (<xref ref-type="bibr" rid="B11">Daubney et al., 2015</xref>; <xref ref-type="bibr" rid="B55">Witek et al., 2016</xref>), cardiac hypertrophy, (<xref ref-type="bibr" rid="B53">Watkins et al., 2011</xref>; <xref ref-type="bibr" rid="B56">Xu et al., 2020</xref>), oxidative stress (<xref ref-type="bibr" rid="B44">Pesant et al., 2006</xref>), and calcium channels (<xref ref-type="bibr" rid="B35">M&#xe9;nard et al., 1999</xref>; <xref ref-type="bibr" rid="B23">Hescheler et al., 1991</xref>). However, even though these cells express cardiogenic markers like alpha actinin, myosin light chain 2, and cardiac Troponin T, they lack the formation of sarcomeric structures and do not show contractility (<xref ref-type="bibr" rid="B52">Suhaeri et al., 2015</xref>). Additionally, differentiation of these cells is complex, and the H9c2 cell line might even resist differentiation, as previously suggested (<xref ref-type="bibr" rid="B42">Patten et al., 2017</xref>). Finding supplementary or optimized ways for differentiation is therefore necessary to use this cell line more reliably as a model for cardiomyocytes and to potentially learn more about heart diseases.</p>
<p>For the optimization of H9c2 differentiation the extracellular matrix (ECM) is one starting point, which has not been sufficiently investigated. However, numerous studies have identified the crucial influence between cellular dynamics and the properties of the ECM (<xref ref-type="bibr" rid="B33">Lukashev and Werb, 1998</xref>; <xref ref-type="bibr" rid="B47">Reilly and Engler 2010</xref>; <xref ref-type="bibr" rid="B8">Chaudhuri et al., 2020</xref>). The ECM serves as a three-dimensional scaffold which initiates mechanical and biochemical cues cells need during adhesion, proliferation, migration, and differentiation (<xref ref-type="bibr" rid="B20">Frantz et al., 2010</xref>; <xref ref-type="bibr" rid="B33">Lukashev and Werb, 1998</xref>; <xref ref-type="bibr" rid="B8">Chaudhuri et al., 2020</xref>). During all of these cellular dynamics an interplay between matrix properties, i.e., elasticity, topography, and several proteins, takes place. Regarding cell differentiation, the rigidity of the ECM guides the cells, evoking a higher differentiation efficiency on substrates with tissue-like stiffness (<xref ref-type="bibr" rid="B16">Engler et al., 2004</xref>). Mesenchymal stem cells, for example, differentiate into varying cell types in connection to the stiffness of the substrate. On soft hydrogels they form neurons, on hydrogels with medium rigidity, they transform to myocytes and on hard substrates to osteocytes (<xref ref-type="bibr" rid="B50">Smith et al., 2018</xref>; <xref ref-type="bibr" rid="B17">Engler et al., 2006</xref>). As cells are sensitive to their surroundings, they can likewise detect the topography of the ECM and are able to orient and align themselves in accordance to micro and nanostructures like patterns, pillars, grooves, and channels (<xref ref-type="bibr" rid="B27">Hume et al., 2012</xref>; <xref ref-type="bibr" rid="B9">Connon and Gouveia, 2021</xref>; <xref ref-type="bibr" rid="B57">Yamamoto et al., 2008</xref>). These topographical structures can be applied either by roughening the surface of the substrate or by applying a predesigned pattern and aim to mimic the natural environment cells rely on during differentiation (<xref ref-type="bibr" rid="B10">Cui et al., 2021</xref>). In this connection, an advanced myogenic maturation and sarcomere formation compared to control cells plated on unpatterned gels has been exemplified for myoblasts plated on micro patterned hydrogels (<xref ref-type="bibr" rid="B13">Denes et al., 2019</xref>; <xref ref-type="bibr" rid="B2">Bettadapur et al., 2016</xref>; <xref ref-type="bibr" rid="B16">Engler et al., 2004</xref>). Similarly, the presence of fibrous ECM proteins, like laminin, elastin, collagen, and fibronectin, plays a vital role in differentiation by enhancing the amount of cells that turn into a desired cell type and by affecting the switch between proliferation and differentiation (<xref ref-type="bibr" rid="B21">Garc&#xed;a et al., 1999</xref>; <xref ref-type="bibr" rid="B31">Li et al., 2024</xref>). C2C12 cells, for instance, display a relation between the fibronectin concentration and the amount of myogenic differentiation markers (<xref ref-type="bibr" rid="B48">Salmer&#xf3;n-S&#xe1;nchez et al., 2011</xref>) and adhesion area (<xref ref-type="bibr" rid="B6">Brock et al., 2022</xref>).</p>
<p>The aim of this study is to improve H9c2 differentiation efficiency. For that we first investigated cells on glass focusing on the culture conditions, such as medium exchange and composition, to ensure the comparability to former studies. Applying high-throughput, automated image processing analysis, we found that normal growth medium with 10% FBS led to the highest amount of cells that differentiated into cardiomyocytes after 2&#xa0;weeks. In contrast, medium with different RA concentration failed to induce differentiation in a similar manner. The cardiac phenotype was confirmed by an independent test using of the cardiac Troponin T marker. Additionally, we observed muscle-characteristic striation with the sarcomeric alpha actinin marker, and an intracelluar calcium response to extracellular, electrical stimulation. Using the best culture conditions found on glass substrates, we further examined influence of polyacrylamide hydrogels (<inline-formula id="inf2">
<mml:math id="m2">
<mml:mrow>
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</inline-formula> kPa) and the fibronectin density on single cells. An optimum was identified at about 2.6&#xa0;&#x3bc;g/cm<sup>2</sup> similar to C2C12 cells before (<xref ref-type="bibr" rid="B6">Brock et al., 2022</xref>). Combining the optimum culture and fibronectin density conditions, we then compare the differentiation efficiency between glass and hydrogel. Although an improvement was expected, fewer cells differentiated on the optimized ECM. Nevertheless, the results of this study signify important progress for differentiation of H9c2 cells and can be used as basis for further investigation in more natural cell environments.</p>
</sec>
<sec sec-type="materials|methods" id="s2">
<title>2 Materials and methods</title>
<sec id="s2-1">
<title>2.1 Glass preparation</title>
<p>Round and square-shaped glass cover slips (<inline-formula id="inf3">
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</inline-formula> 22mm, Carl Roth, P235.1; <inline-formula id="inf4">
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</inline-formula> <inline-formula id="inf5">
<mml:math id="m5">
<mml:mrow>
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</inline-formula>, VWR, ECN632-1571) were cleaned following a modified RCA method (<xref ref-type="bibr" rid="B29">Kern Puotinen et al., 1970</xref>). Briefly, glasses were successively sonicated in acetone, ethanol, methanol and distilled water for 3&#xa0;min each, then covered with a hydrogen peroxide solution (H2O:H2O2:NH3 aq. as 5:1:1), sonicated for 3&#xa0;min, followed by incubation at 60&#xb0;C for 30&#xa0;min, and finally rinsed 10 times with distilled water and dried completely at 70&#xb0;C. Round glass substrates were subsequently prepared to bind the hydrogels by incubation in 5% (V/V) vinyltrimethoxysilane (Sigma, 235,768) in toluene on a shaker for 18&#xa0;h in the dark at RT. Afterwards the round glasses were washed consecutively with acetone, ethanol and distilled water before being dried at 140&#xb0;C for at least 1&#xa0;h (<xref ref-type="bibr" rid="B26">H&#xf6;rning et al., 2017b</xref>).</p>
</sec>
<sec id="s2-2">
<title>2.2 Hydrogel preparation</title>
<p>For the polyacrylamide hydrogels, a 2% bisacrylamide solution (bAAm, Carl Roth, 3,039.2) was added to a 40% acrylamide solution (AAm, Carl Roth, 7,748.1) in distilled water at a crosslinker ratio of 2%. The polymerization of this solution was initiated by 10% ammonium persulfate (APS, Sigma, A3678) and N,N,N,N-tetramethyl ethylenediamine (TEMED, Carl Roth, 2,367.3). For the plane hydrogels, 20&#xa0;&#xb5;L of this polymerizing solution was then sandwiched between a vinyl-silanized glass cover slip (<inline-formula id="inf6">
<mml:math id="m6">
<mml:mrow>
<mml:mi>&#x2205;</mml:mi>
</mml:mrow>
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</inline-formula> 22&#xa0;mm) and an RCA cleaned cover slip (<inline-formula id="inf7">
<mml:math id="m7">
<mml:mrow>
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<mml:mo>&#xd7;</mml:mo>
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</inline-formula> mm<sup>2</sup>) and left to polymerize for 30&#xa0;min at RT. For the mechanically-roughened hydrogels the same protocol was used, except that the square cover slip was mechanically roughened before the application of 40&#xa0;&#xb5;L of the polymerizing solution. After polymerization, the hydrogels were soaked in water for at least 48&#xa0;h to remove residual chemicals. The hydrogels were about 60&#xa0;&#xb5;m (plane) and 100&#xa0;&#xb5;m (mechanically roughened) thick, as confirmed by microscopy. The elastic modulus was set to about 12&#xa0;kPa by the concentrations of acrylamide and bisacrylamide solutions (<xref ref-type="bibr" rid="B6">Brock et al., 2022</xref>).</p>
</sec>
<sec id="s2-3">
<title>2.3 Mechanical testing</title>
<p>The E-modulus of the hydrogels were measured by nanoindentation using an atomic force microscope (AFM, NanoWizard, JPK Instruments, Berlin, Germany). A silicon nitride cantilever with an attached spherical colloidal probe (CP-PNP-BSG; 0.08&#xa0;N/m; R &#x3d; 5&#xa0;&#x3bc;m, Olympus Optical) was used. The spring constant of the cantilevers was obtained through thermal noise measurements. The indentation curves were measured with an approach speed of 1&#xa0;&#x3bc;m/s. The data were analyzed using nonlinear least-squares fitting to the Hertz model (<xref ref-type="bibr" rid="B51">Sneddon, 1965</xref>; <xref ref-type="bibr" rid="B14">Domke and Radmacher, 1998</xref>) with a customized (<xref ref-type="bibr" rid="B59">MATLAB, 2023</xref>) routine. Statistical significance was ensured by the quantification of the Young&#x2019;s modulus E at 50 independent indentation sites in two <inline-formula id="inf8">
<mml:math id="m8">
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</inline-formula> &#xb5;m<sup>2</sup> areas for each hydrogel (<xref ref-type="bibr" rid="B6">Brock et al., 2022</xref>; <xref ref-type="bibr" rid="B19">Erhardt et al., 2024</xref>).</p>
</sec>
<sec id="s2-4">
<title>2.4 Surface functionalization</title>
<p>The hydrogels were functionalized by 3,4-Dihydroxy-L-phenylalanine (L-DOPA, Sigma-Aldrich, D9628) <xref ref-type="bibr" rid="B6">Brock et al. (2022)</xref>. Briefly, L-DOPA was dissolved in freshly prepared TRIS buffer (10&#xa0;mM, pH 10, Roth 4,855.2) at a concentration of 2&#xa0;mg/mL for 30&#xa0;min in the dark on a tube roller and sterilized through a 0.2&#xa0;&#xb5;m filter (Filtropur S0.2, Sarstedt 83.1826.001). Followed by a washing with TRIS buffer, 250&#xa0;&#xb5;L of this solution was added onto each hydrogel and incubated for 30&#xa0;min in the dark at RT. To remove unbound L-DOPA, the samples were washed twice with PBS and finally incubated with human plasma fibronectin (Sigma, F2006) at different concentrations for at least 2&#xa0;h at 37&#xb0;C.</p>
</sec>
<sec id="s2-5">
<title>2.5 Cell culture</title>
<p>Rat cardiomyoblasts (H9c2 (2&#x2013;1), <inline-formula id="inf9">
<mml:math id="m9">
<mml:mrow>
<mml:mo>&#x3c;</mml:mo>
</mml:mrow>
</mml:math>
</inline-formula>15 passages, Sigma-Aldrich, 88092904) were maintained in Dulbecco&#x2019;s Modified Eagle&#x2019;s Medium (DMEM) low glucose (Gibco, 31885023), supplemented with 10% fetal bovine serum (FBS, Gibco, 1027010) and 1% penicillin-streptomycin (Gibco, 15140122) at 37&#xb0;C and 5% <inline-formula id="inf10">
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</inline-formula> in a humidified atmosphere. Cells were kept at 60%&#x2013;70% confluency and passaged every 2&#x2013;3 days to retain differentiation potential. For single cell experiments, cells were plated at cell densities between 5 and 13 cells/mm<sup>2</sup> on 12&#xa0;kPa substrates coated with different fibronectin densities (<inline-formula id="inf11">
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</inline-formula> &#xb5;g/cm<sup>2</sup>) and incubated for 24&#xa0;h before fixation. For differentiation, cells were plated at a cell density of 100 cells/mm<sup>2</sup> on fibronectin-coated glass substrates (0.4&#xa0;&#x3bc;g/cm<sup>2</sup>) and hydrogels (2.6&#xa0;&#x3bc;g/cm<sup>2</sup>) and left to reach confluence in DMEM containing 10% FBS for 3&#xa0;days. Then the medium was either left at 10% FBS for 14 additional days or switched to DMEM containing 1% FBS with or without the addition of different concentrations (10&#x2013;1000&#xa0;nM) of all-trans-retinoic acid (RA, Sigma, R2625). Two conditions for the 1% FBS medium was considered. Either the medium was left for 14 additional days unchanged, or the medium was changed and freshly supplemented with RA every 2&#x2013;3&#xa0;days for 2&#xa0;weeks in total. RA was prepared in DMSO as a 10&#xa0;nM stock, diluted before each use in DMEM with 1% FBS and added in the dark to prevent degradation.</p>
</sec>
<sec id="s2-6">
<title>2.6 Cardiomyocyte isolation</title>
<p>The primary heart tissues were prepared following a method described in (<xref ref-type="bibr" rid="B26">H&#xf6;rning et al., 2017b</xref>; <xref ref-type="bibr" rid="B25">H&#xf6;rning et al., 2012</xref>; <xref ref-type="bibr" rid="B19">Erhardt et al., 2024</xref>). Briefly, hearts of 1-3-day-old Wistar rats were isolated and consecutively cleaned, minced, and enzymatically digested in five cycles using collagenase type I (Gibco, 17100017). The isolated cells from the last four cycles were pre-plated for 1&#xa0;h in plastic dishes to reduce the fraction of fibroblasts. Cells were plated at a density of <inline-formula id="inf12">
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<sup>5</sup> cells/cm<sup>2</sup> in Dulbecco&#x2019;s modified Eagle&#x2019;s medium (DMEM, Gibco, 11885084) supplemented with 10% fetal bovine serum (Gibco, 10270106), 1% penicillin-streptomycin (Gibco, 15140122) and kanamycin sulfate (80&#xa0;mg/L; Gibco, 11815024). After 24&#xa0;h, the medium was exchanged to minimal essential medium (MEM, Gibco, 11095080) supplemented with 10% calf serum (Gibco, 16,170&#x2013;087), 1% penicillin-streptomycin, kanamycin sulfate (80&#xa0;mg/L) and cytosine arabinofuranoside (ARA-C, 10&#xa0;&#x3bc;M; Sigma-Aldrich, C1768). After 5&#xa0;days of incubation, the cardiac tissues were fixed and stained, following the same protocol used for differentiated H9c2 cells.</p>
</sec>
<sec id="s2-7">
<title>2.7 Fluorescence staining</title>
<p>Cells were washed with PBS and fixed with 4% formaldehyde in PBS (Thermo Scientific Chemicals, J60401.AK) for 10&#x2013;20&#xa0;min at RT. For F-actin staining, cells were then washed 3&#xa0;times with 0.1% Tween 20 (Carl Roth, 9,127.1) in PBS for 10&#xa0;min each, labeled with rhodamine phalloidin (0.25&#xa0;U/mL in methanol, Alexa fluor 546, Invitrogen, A22283) and DAPI (1&#xa0;&#x3bc;g/mL in PBST, Sigma D9542) for 1&#xa0;h at RT in the dark, subsequently washed 3&#xa0;times with 0.1% PBST for 10&#xa0;min, and covered with ProLong Gold antifade reagent (Invitrogen, P10144) until observation. For antibody staining, after fixation, the samples were blocked with 400&#xa0;&#xb5;L 0.1% BSA (Sigma Aldrich, A9418) in 0.1% Saponin (Sigma, S1252) for 30&#xa0;min, then incubated with 200&#xa0;&#x3bc;L&#xa0;mouse monoclonal anti-sarcomeric alpha actinin (1:200; Invitrogen, MA1-22863) or cardiac troponin T monoclonal antibody (1:200; Invitrogen, MA5-12960) in 0.1% BSA in 0.1% Saponin for 1&#xa0;h at RT, followed by 200&#xa0;&#xb5;L secondary antibody, Alexa Fluor 488 goat anti-mouse IgG (1:200; Invitrogen, A11001), rhodamine phalloidin, and DAPI in 0.1% BSA in 0.1% Saponin for 1&#xa0;h at RT. ProLong Gold antifade reagent (Invitrogen, P10144) was used to preserve the samples until observation.</p>
</sec>
<sec id="s2-8">
<title>2.8 Image acquisition of fluorescent cells</title>
<p>Fluorescence was observed by an AxioObserver SD confocal microscope (Carl Zeiss Microscopy GmbH Jena, Germany) equipped with a Yokogawa CSU-X1 spinning disk unit at <inline-formula id="inf13">
<mml:math id="m13">
<mml:mrow>
<mml:mo>&#xd7;</mml:mo>
</mml:mrow>
</mml:math>
</inline-formula>40 (Plan-Apochromat 1.4 Oil DIC UV, Zeiss) and using an Axiocam 503 Mono CCD camera (Zeiss) at a resolution of <inline-formula id="inf14">
<mml:math id="m14">
<mml:mrow>
<mml:mi mathvariant="normal">&#x394;</mml:mi>
<mml:mi>x</mml:mi>
<mml:mo>&#x3d;</mml:mo>
<mml:mi mathvariant="normal">&#x394;</mml:mi>
<mml:mi>y</mml:mi>
<mml:mo>&#x3d;</mml:mo>
<mml:mn>0.227</mml:mn>
</mml:mrow>
</mml:math>
</inline-formula> &#xb5;m. The images were acquired and analyzed by the ZEN blue v2.3 software (Zeiss). The cell structures were visualized using the 405&#xa0;nm (DAPI), 488&#xa0;nm (Alexa fluor 488) and 561&#xa0;nm (Phalloidin) diode lasers. The images were obtained as a <inline-formula id="inf15">
<mml:math id="m15">
<mml:mrow>
<mml:mn>5</mml:mn>
<mml:mo>&#xd7;</mml:mo>
<mml:mn>5</mml:mn>
</mml:mrow>
</mml:math>
</inline-formula> tile composition with 11&#x2013;13 focal heights (<inline-formula id="inf16">
<mml:math id="m16">
<mml:mrow>
<mml:mi mathvariant="normal">&#x394;</mml:mi>
<mml:mi>z</mml:mi>
<mml:mo>&#x3d;</mml:mo>
<mml:mn>1</mml:mn>
</mml:mrow>
</mml:math>
</inline-formula> &#xb5;m). The tiles were stitched and then orthogonally projected by the &#x201c;fuse tiles&#x201d;, &#x201c;correct shading&#x201d; and &#x201c;orthogonal projection&#x201d; features of the ZEN 2.3 software.</p>
</sec>
<sec id="s2-9">
<title>2.9 Observation of calcium transients</title>
<p>For the observation of calcium transients, the differentiated H9c2 cells were incubated with 200&#xa0;&#xb5;L of the fluorescence dye Fluo8 (8.3&#xa0;&#xb5;M in PBS, AAT Bioquest) at room temperature (RT) in the dark for 30&#x2013;60&#xa0;min. Then, the observation was conducted at RT in Tyrode&#x2019;s solution (136.9&#xa0;mM NaCl, 1&#xa0;mM MgCl2, 2.7&#xa0;mM KCl, 1.8&#xa0;mM CaCl2, 0.4&#xa0;mM NaH2PO4 and 5.5&#xa0;mM glucose (Sigma-Aldrich, T2145)) with additional 2.7&#xa0;mM KCl (final concentration of 5.4&#xa0;mM) and 5&#xa0;mM HEPES (Roth, 9,105.2). The pH level was adjusted to 7.4 using NaOH. The calcium transients were observed by a customized microscope setup (ThorLabs) equipped with a Kinetix sCMOS high-speed camera (Photometrics, 140 FPS and <inline-formula id="inf17">
<mml:math id="m17">
<mml:mrow>
<mml:mi mathvariant="normal">&#x394;</mml:mi>
<mml:mi>x</mml:mi>
<mml:mo>&#x3d;</mml:mo>
<mml:mi mathvariant="normal">&#x394;</mml:mi>
<mml:mi>y</mml:mi>
<mml:mo>&#x3d;</mml:mo>
<mml:mn>48</mml:mn>
</mml:mrow>
</mml:math>
</inline-formula> &#xb5;m/px after <inline-formula id="inf18">
<mml:math id="m18">
<mml:mrow>
<mml:mn>4</mml:mn>
<mml:mo>&#xd7;</mml:mo>
<mml:mn>4</mml:mn>
</mml:mrow>
</mml:math>
</inline-formula> binning) and a zoom objective (PlanApoZ 0.5<inline-formula id="inf19">
<mml:math id="m19">
<mml:mrow>
<mml:mo>&#xd7;</mml:mo>
</mml:mrow>
</mml:math>
</inline-formula>/0.125 FWD 114&#xa0;mm, Carl Zeiss). The samples were electrically stimulated using platinum electrodes (<inline-formula id="inf20">
<mml:math id="m20">
<mml:mrow>
<mml:mi>&#x2205;</mml:mi>
</mml:mrow>
</mml:math>
</inline-formula> 0.5&#xa0;mm, 99.997%, Thermo Fischer Scientific/Alfa Aesar) and a modified version of the MyoPulser stimulator introduced by <xref ref-type="bibr" rid="B41">Ott and Jung (2023)</xref>. The device was constructed using a motor controller (<inline-formula id="inf21">
<mml:math id="m21">
<mml:mrow>
<mml:mn>5</mml:mn>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>35</mml:mn>
</mml:mrow>
</mml:math>
</inline-formula> V, <inline-formula id="inf22">
<mml:math id="m22">
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mi>I</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mtext>max</mml:mtext>
</mml:mrow>
</mml:msub>
<mml:mo>&#x3d;</mml:mo>
<mml:mn>2</mml:mn>
</mml:mrow>
</mml:math>
</inline-formula> A) and a microcontroller (ESP32-S2-WROVER, Espressif) programmed with an Arduino IDE (2.3.2). A power supply unit with a voltage of 12&#xa0;V and current up to 2 A was used. A customized Graphical User Interface (GUI) was implemented using the software Processing (The Processing Foundation). The device was enclosed in a customized 3D-printed chassis (PRUSA MK3s, Prusa Research), which was designed using the CAD software SolidWorks (Dassault Systemes) (<xref ref-type="bibr" rid="B19">Erhardt et al., 2024</xref>). The tissues were paced with monophasic pulses of 10&#xa0;ms or 50&#xa0;ms and amplitudes of <inline-formula id="inf23">
<mml:math id="m23">
<mml:mrow>
<mml:mo>&#xb1;</mml:mo>
<mml:mn>10</mml:mn>
</mml:mrow>
</mml:math>
</inline-formula> V. The electrodes were approximately 1&#xa0;cm apart, resulting in an electrical field of 10&#xa0;V/cm.</p>
</sec>
<sec id="s2-10">
<title>2.10 Actin quantification analysis (AQuA)</title>
<p>The quantification of actin filaments in muscle cells using AQuA has been described before using customized routines in <xref ref-type="bibr" rid="B59">MATLAB (2023)</xref> (<xref ref-type="bibr" rid="B58">Zemel et al., 2010</xref>; <xref ref-type="bibr" rid="B28">Inoue et al., 2015</xref>; <xref ref-type="bibr" rid="B24">H&#xf6;rning et al., 2017a</xref>; <xref ref-type="bibr" rid="B18">Erben et al., 2020</xref>; <xref ref-type="bibr" rid="B6">Brock et al., 2022</xref>). Briefly, the Laplacian filter<disp-formula id="e1">
<mml:math id="m24">
<mml:mrow>
<mml:mfenced open="[" close="]">
<mml:mrow>
<mml:mtable class="matrix">
<mml:mtr>
<mml:mtd columnalign="center">
<mml:mn>0</mml:mn>
</mml:mtd>
<mml:mtd columnalign="center">
<mml:mo>&#x2212;</mml:mo>
<mml:mn>1</mml:mn>
</mml:mtd>
<mml:mtd columnalign="center">
<mml:mn>0</mml:mn>
</mml:mtd>
</mml:mtr>
<mml:mtr>
<mml:mtd columnalign="center">
<mml:mo>&#x2212;</mml:mo>
<mml:mn>1</mml:mn>
</mml:mtd>
<mml:mtd columnalign="center">
<mml:mn>4</mml:mn>
</mml:mtd>
<mml:mtd columnalign="center">
<mml:mo>&#x2212;</mml:mo>
<mml:mn>1</mml:mn>
</mml:mtd>
</mml:mtr>
<mml:mtr>
<mml:mtd columnalign="center">
<mml:mn>0</mml:mn>
</mml:mtd>
<mml:mtd columnalign="center">
<mml:mo>&#x2212;</mml:mo>
<mml:mn>1</mml:mn>
</mml:mtd>
<mml:mtd columnalign="center">
<mml:mn>0</mml:mn>
</mml:mtd>
</mml:mtr>
</mml:mtable>
</mml:mrow>
</mml:mfenced>
</mml:mrow>
</mml:math>
<label>(1)</label>
</disp-formula>and <inline-formula id="inf24">
<mml:math id="m25">
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<mml:mo>&#x3d;</mml:mo>
<mml:mn>15</mml:mn>
</mml:mrow>
</mml:math>
</inline-formula> differently rotated anisotropic Gaussians with <inline-formula id="inf25">
<mml:math id="m26">
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<mml:msub>
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<mml:mi>&#x3c3;</mml:mi>
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<mml:mrow>
<mml:mi>x</mml:mi>
</mml:mrow>
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<mml:mo>&#x3d;</mml:mo>
<mml:mn>2</mml:mn>
</mml:mrow>
</mml:math>
</inline-formula> px and <inline-formula id="inf26">
<mml:math id="m27">
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mi>&#x3c3;</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mi>y</mml:mi>
</mml:mrow>
</mml:msub>
<mml:mo>&#x3d;</mml:mo>
<mml:mn>6</mml:mn>
</mml:mrow>
</mml:math>
</inline-formula> px were convoluted to elongated Laplace of Gaussian (eLoG) kernels from <xref ref-type="disp-formula" rid="e1">Equation 1</xref>. The kernels were applied to the original <inline-formula id="inf27">
<mml:math id="m28">
<mml:mrow>
<mml:mn>5</mml:mn>
<mml:mo>&#xd7;</mml:mo>
<mml:mn>5</mml:mn>
</mml:mrow>
</mml:math>
</inline-formula> tiled images and the maximum response of each pixel was calculated, as<disp-formula id="e2">
<mml:math id="m29">
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mi>I</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mtext>max</mml:mtext>
</mml:mrow>
</mml:msub>
<mml:mfenced open="(" close=")">
<mml:mrow>
<mml:mi>n</mml:mi>
<mml:mo>,</mml:mo>
<mml:mi>x</mml:mi>
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<mml:mi>y</mml:mi>
</mml:mrow>
</mml:mfenced>
<mml:mo>&#x3d;</mml:mo>
<mml:mi mathvariant="normal">m</mml:mi>
<mml:mi mathvariant="normal">a</mml:mi>
<mml:mi mathvariant="normal">x</mml:mi>
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</mml:mfenced>
<mml:mo>.</mml:mo>
</mml:mrow>
</mml:math>
<label>(2)</label>
</disp-formula>Thereafter, from <xref ref-type="disp-formula" rid="e2">Equation 2</xref> <inline-formula id="inf28">
<mml:math id="m30">
<mml:mrow>
<mml:msub>
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</mml:mrow>
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</mml:mrow>
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</mml:mrow>
</mml:math>
</inline-formula> was processed by the binarized original images using the Otsu&#x2019;s thresholding method <xref ref-type="bibr" rid="B40">Otsu (1979)</xref>. Connected fibers of the same rotational direction with less than 10 px for single cells and 20 px for tissues were removed. The obtained actin fibers were colorized with a color scheme that corresponds to the local actin orientation angles, <inline-formula id="inf29">
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</mml:mrow>
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</inline-formula>.</p>
</sec>
<sec id="s2-11">
<title>2.11 Calcium transient analysis</title>
<p>The recorded movies were pre-processed by background subtraction, averaged in time (10 frames), and filtered in space with Gaussian blur (10 px) using a customized macro in ImageJ (1.54f) (<xref ref-type="bibr" rid="B32">Loppini et al., 2022</xref>; <xref ref-type="bibr" rid="B19">Erhardt et al., 2024</xref>). Further analysis was performed using customized routines in <xref ref-type="bibr" rid="B59">MATLAB (2023)</xref>. The calcium transients were analyzed at a normalized calcium intensity of 50% of each individual wave to obtain the individual calcium transient duration (CTD) and calcium transient intervals (CTI). From the CTDs and CTIs, the mean values and standard deviation was calculated for each calcium transient.</p>
<p>The normalized calcium transients were calculated by the improved signal oversampling analysis (<xref ref-type="bibr" rid="B19">Erhardt et al., 2024</xref>). The periodic signals were pixelwise-stacked by equidistant time intervals, and the CTD was computed from the stacked period-2 calcium transient, as<disp-formula id="e3">
<mml:math id="m32">
<mml:mrow>
<mml:mo stretchy="false">&#x27e8;</mml:mo>
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</mml:mrow>
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</mml:mrow>
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</mml:mrow>
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</mml:mrow>
</mml:msub>
<mml:mfenced open="[" close="]">
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<mml:mn>2</mml:mn>
<mml:mi>i</mml:mi>
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<mml:mi>T</mml:mi>
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</mml:mrow>
</mml:mfenced>
<mml:mtext>,</mml:mtext>
</mml:math>
<label>(3)</label>
</disp-formula>where <inline-formula id="inf30">
<mml:math id="m33">
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mtext>CT</mml:mtext>
</mml:mrow>
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</mml:mrow>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula> are the calcium transients of the individual waves, <inline-formula id="inf31">
<mml:math id="m34">
<mml:mrow>
<mml:mi>T</mml:mi>
</mml:mrow>
</mml:math>
</inline-formula> is the pacing period, and <inline-formula id="inf32">
<mml:math id="m35">
<mml:mrow>
<mml:mi>&#x3c4;</mml:mi>
</mml:mrow>
</mml:math>
</inline-formula> is the offset induced by frame rate inaccuracy of the camera (<inline-formula id="inf33">
<mml:math id="m36">
<mml:mrow>
<mml:mi>&#x3c4;</mml:mi>
<mml:mo>&#x2264;</mml:mo>
<mml:mn>140</mml:mn>
<mml:mtext>&#x2009;Hz</mml:mtext>
<mml:mo>&#x2243;</mml:mo>
<mml:mn>7</mml:mn>
</mml:mrow>
</mml:math>
</inline-formula> ms).</p>
</sec>
<sec id="s2-12">
<title>2.12 Fourier transformation imaging (FFI)</title>
<p>FFI was applied to the raw unprocessed fluorescence recordings, as introduced before (<xref ref-type="bibr" rid="B24">H&#xf6;rning et al., 2017a</xref>; <xref ref-type="bibr" rid="B32">Loppini et al., 2022</xref>; <xref ref-type="bibr" rid="B19">Erhardt et al., 2024</xref>). Briefly, the images were decomposed pixelwise and transformed to the mathematically complex Fourier space, <inline-formula id="inf34">
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</mml:mrow>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula>, as a function of the frequency <inline-formula id="inf35">
<mml:math id="m38">
<mml:mrow>
<mml:mi>f</mml:mi>
</mml:mrow>
</mml:math>
</inline-formula>, i.e., <inline-formula id="inf36">
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</mml:mrow>
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</mml:mrow>
<mml:mo stretchy="false">)</mml:mo>
</mml:mrow>
</mml:math>
</inline-formula>. From that, the amplitudes were calculated and spatially recomposed to a Fourier frequency-series. The amplitude map was selected at the respective frequency <inline-formula id="inf39">
<mml:math id="m42">
<mml:mrow>
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</mml:mrow>
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<mml:mo>&#x2212;</mml:mo>
<mml:mn>1</mml:mn>
</mml:mrow>
</mml:msup>
</mml:mrow>
</mml:math>
</inline-formula> with the pacing period <inline-formula id="inf40">
<mml:math id="m43">
<mml:mrow>
<mml:mi>T</mml:mi>
</mml:mrow>
</mml:math>
</inline-formula>, as <inline-formula id="inf41">
<mml:math id="m44">
<mml:mrow>
<mml:mo stretchy="false">&#x7c;</mml:mo>
<mml:mi>F</mml:mi>
<mml:mrow>
<mml:mo stretchy="false">(</mml:mo>
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mi>f</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mi>T</mml:mi>
</mml:mrow>
</mml:msub>
</mml:mrow>
<mml:mo stretchy="false">)</mml:mo>
</mml:mrow>
<mml:mo stretchy="false">&#x7c;</mml:mo>
</mml:mrow>
</mml:math>
</inline-formula>.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>3 Results</title>
<p>The H9c2 rat cardiomyoblast cell line presents a special challenge for differentiation since it can form both cardiac and skeletal muscle cells. In this connection, several studies described that both a reduction of fetal bovine serum (FBS) to 1% and supplementation with retinoic acid (RA) is necessary to obtain cardiomyocytes instead of skeletal muscle cells (<xref ref-type="bibr" rid="B35">M&#xe9;nard et al., 1999</xref>; <xref ref-type="bibr" rid="B5">Branco et al., 2012</xref>; <xref ref-type="bibr" rid="B43">Pereira et al., 2011</xref>). However, the added RA concentrations range anywhere between 10 and 1000&#xa0;nM, and the frequency of medium and RA exchange varies from study to study (<xref ref-type="bibr" rid="B35">M&#xe9;nard et al., 1999</xref>; <xref ref-type="bibr" rid="B43">Pereira et al., 2011</xref>; <xref ref-type="bibr" rid="B52">Suhaeri et al., 2015</xref>; <xref ref-type="bibr" rid="B7">Campero-Basaldua et al., 2023</xref>). Therefore, it is still unclear which condition leads to the optimal differentiation output.</p>
<sec id="s3-1">
<title>3.1 Optimal differentiation condition</title>
<p>In order to identify the optimal differentiation condition, six differentiation medium compositions were tested and statistically analyzed (<xref ref-type="fig" rid="F1">Figures 1A&#x2013;G</xref>). For all conditions, cells were plated at the same density on glass substrates and left to reach confluence in DMEM containing 10% FBS for 3&#xa0;days to ensure comparability. After this point of time, which was defined as <inline-formula id="inf42">
<mml:math id="m45">
<mml:mrow>
<mml:mi>t</mml:mi>
<mml:mo>&#x3d;</mml:mo>
<mml:mn>0</mml:mn>
</mml:mrow>
</mml:math>
</inline-formula>, the conditions were treated differently as described in Material and Methods. Briefly, the medium was changed to 1% FBS medium with or without regular addition of RA (<inline-formula id="inf43">
<mml:math id="m46">
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mi>c</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mtext>RA</mml:mtext>
</mml:mrow>
</mml:msub>
<mml:mo>&#x3d;</mml:mo>
<mml:mn>10</mml:mn>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>1000</mml:mn>
</mml:mrow>
</mml:math>
</inline-formula> nM). Additionally, two conditions left with either 10% FBS and 1% FBS without further medium exchange were tested. Neither of those two has been investigated before, to the best of our knowledge.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Comparison of differentiation conditions. <bold>(A)</bold> Example of undifferentiated H9c2 cells at <inline-formula id="inf44">
<mml:math id="m47">
<mml:mrow>
<mml:mi>t</mml:mi>
<mml:mo>&#x3d;</mml:mo>
<mml:mn>0</mml:mn>
</mml:mrow>
</mml:math>
</inline-formula>. Shown are the nuclei (blue), sarcomeric alpha actinin (green), and F-Actin (red). <bold>(B&#x2013;D)</bold> Quantification of differentiated cells by ratio between the area of differentiated cells <inline-formula id="inf45">
<mml:math id="m48">
<mml:mrow>
<mml:mo stretchy="false">&#x27e8;</mml:mo>
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mi>A</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mtext>r</mml:mtext>
</mml:mrow>
</mml:msub>
</mml:mrow>
<mml:mo stretchy="false">&#x27e9;</mml:mo>
</mml:mrow>
</mml:math>
</inline-formula>, the total number of nuclei <inline-formula id="inf46">
<mml:math id="m49">
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mi>N</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mtext>n</mml:mtext>
</mml:mrow>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula>, and the average differentiated cell area one nucleus occupies <inline-formula id="inf47">
<mml:math id="m50">
<mml:mrow>
<mml:mo stretchy="false">&#x27e8;</mml:mo>
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mi>A</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mtext>c</mml:mtext>
</mml:mrow>
</mml:msub>
</mml:mrow>
<mml:mo stretchy="false">&#x27e9;</mml:mo>
</mml:mrow>
</mml:math>
</inline-formula> under six differentiation conditions. The orange diamonds represent the means with standard errors and the gray circles the data from individual <inline-formula id="inf48">
<mml:math id="m51">
<mml:mrow>
<mml:mn>5</mml:mn>
<mml:mo>&#xd7;</mml:mo>
<mml:mn>5</mml:mn>
</mml:mrow>
</mml:math>
</inline-formula> tiled images. The asterisks indicate outliers. Below each graph, the individual retinoic acid concentrations <inline-formula id="inf49">
<mml:math id="m52">
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mi>c</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mtext>RA</mml:mtext>
</mml:mrow>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula>, the respective FBS concentration and differentiation time are displayed. <bold>(E&#x2013;G)</bold> Exemplary fluorescence stainings of differentiated H9c2 cells after 2 weeks at different conditions. Displayed are the nuclei, sarcomeric alpha actinin, F-actin, and the composite of all three channels.</p>
</caption>
<graphic xlink:href="fcell-12-1501540-g001.tif"/>
</fig>
<p>For the comparison of the conditions, cells were fluorescence stained and observed on large <inline-formula id="inf50">
<mml:math id="m53">
<mml:mrow>
<mml:mn>5</mml:mn>
<mml:mo>&#xd7;</mml:mo>
<mml:mn>5</mml:mn>
</mml:mrow>
</mml:math>
</inline-formula> tiled images by confocal microscopy. From those images the differentiation rate was statistically quantified by an automated analysis routine (see Material and Methods). <xref ref-type="fig" rid="F1">Figure 1A</xref> displays fluorescence-stained control cells at <inline-formula id="inf51">
<mml:math id="m54">
<mml:mrow>
<mml:mi>t</mml:mi>
<mml:mo>&#x3d;</mml:mo>
<mml:mn>0</mml:mn>
</mml:mrow>
</mml:math>
</inline-formula>. As expected, the differentiation marker sarcomeric alpha actinin (&#x3b1;A) was not detected, and thus, the cells are still undifferentiated at this point. This can be confirmed by the area ratio <inline-formula id="inf52">
<mml:math id="m55">
<mml:mrow>
<mml:mo stretchy="false">&#x27e8;</mml:mo>
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mi>A</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mtext>r</mml:mtext>
</mml:mrow>
</mml:msub>
</mml:mrow>
<mml:mo stretchy="false">&#x27e9;</mml:mo>
</mml:mrow>
</mml:math>
</inline-formula> between the area of differentiated cells (&#x3b1;A signal) and the area of all cells (F-actin signal), shown in <xref ref-type="fig" rid="F1">Figure 1B</xref>. For the undifferentiated cells, <inline-formula id="inf53">
<mml:math id="m56">
<mml:mrow>
<mml:mo stretchy="false">&#x27e8;</mml:mo>
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mi>A</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mtext>r</mml:mtext>
</mml:mrow>
</mml:msub>
</mml:mrow>
<mml:mo stretchy="false">&#x27e9;</mml:mo>
</mml:mrow>
</mml:math>
</inline-formula> is close to 0%. Generally, <inline-formula id="inf54">
<mml:math id="m57">
<mml:mrow>
<mml:mo stretchy="false">&#x27e8;</mml:mo>
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mi>A</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mtext>r</mml:mtext>
</mml:mrow>
</mml:msub>
</mml:mrow>
<mml:mo stretchy="false">&#x27e9;</mml:mo>
</mml:mrow>
</mml:math>
</inline-formula> represents the differentiation efficiency in terms of sarcomeric alpha actinin production. In this study, the highest <inline-formula id="inf55">
<mml:math id="m58">
<mml:mrow>
<mml:mo stretchy="false">&#x27e8;</mml:mo>
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mi>A</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mtext>r</mml:mtext>
</mml:mrow>
</mml:msub>
</mml:mrow>
<mml:mo stretchy="false">&#x27e9;</mml:mo>
</mml:mrow>
</mml:math>
</inline-formula> of about 30% was found at the 10% FBS condition after 2&#xa0;weeks, although previous studies indicate that serum reduction is necessary for differentiation of H9c2 (<xref ref-type="bibr" rid="B35">M&#xe9;nard et al., 1999</xref>; <xref ref-type="bibr" rid="B43">Pereira et al., 2011</xref>; <xref ref-type="bibr" rid="B52">Suhaeri et al., 2015</xref>; <xref ref-type="bibr" rid="B7">Campero-Basaldua et al., 2023</xref>). However, the finding implies that FBS contains some components that support cell differentiation, and therefore, the differentiation rate is higher if the FBS concentration remains at 10%. In comparison, the 1% FBS condition without medium exchange exhibits only an <inline-formula id="inf56">
<mml:math id="m59">
<mml:mrow>
<mml:mo stretchy="false">&#x27e8;</mml:mo>
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mi>A</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mtext>r</mml:mtext>
</mml:mrow>
</mml:msub>
</mml:mrow>
<mml:mo stretchy="false">&#x27e9;</mml:mo>
</mml:mrow>
</mml:math>
</inline-formula> of about 10%. Cells under this condition still form sarcomeric alpha actinin but less efficiently. In comparison, the 1% FBS condition with medium exchange leads to a significantly lower differentiation rate, despite the only difference being the frequency of medium exchange. A regular medium exchange seems to disturb cell differentiation as it possibly hinders cell-cell communication, which is necessary for effective differentiation. Consequently, all three conditions with RA display a very low <inline-formula id="inf57">
<mml:math id="m60">
<mml:mrow>
<mml:mo stretchy="false">&#x27e8;</mml:mo>
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mi>A</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mtext>r</mml:mtext>
</mml:mrow>
</mml:msub>
</mml:mrow>
<mml:mo stretchy="false">&#x27e9;</mml:mo>
</mml:mrow>
</mml:math>
</inline-formula> as well, but also a relation between the respective RA concentration and <inline-formula id="inf58">
<mml:math id="m61">
<mml:mrow>
<mml:mo stretchy="false">&#x27e8;</mml:mo>
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mi>A</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mtext>r</mml:mtext>
</mml:mrow>
</mml:msub>
</mml:mrow>
<mml:mo stretchy="false">&#x27e9;</mml:mo>
</mml:mrow>
</mml:math>
</inline-formula>. The higher the RA concentration, the lower <inline-formula id="inf59">
<mml:math id="m62">
<mml:mrow>
<mml:mo stretchy="false">&#x27e8;</mml:mo>
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mi>A</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mtext>r</mml:mtext>
</mml:mrow>
</mml:msub>
</mml:mrow>
<mml:mo stretchy="false">&#x27e9;</mml:mo>
</mml:mrow>
</mml:math>
</inline-formula> and hence the differentiation rate. In contrast to previous findings, the addition of RA seems to disturb or even inhibit the differentiation of H9c2, at least in terms of &#x3b1;A formation.</p>
<p>Nevertheless, an opposite trend for the RA conditions is observed for the total number of nuclei <inline-formula id="inf60">
<mml:math id="m63">
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mi>N</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mtext>n</mml:mtext>
</mml:mrow>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula> (<xref ref-type="fig" rid="F1">Figure 1C</xref>). The higher <inline-formula id="inf61">
<mml:math id="m64">
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mi>c</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mtext>RA</mml:mtext>
</mml:mrow>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula>, the higher <inline-formula id="inf62">
<mml:math id="m65">
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mi>N</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mtext>n</mml:mtext>
</mml:mrow>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula>. While RA fails to stimulate sarcomeric alpha actinin production, it seems to promote proliferation instead. A similar impression can be gained when considering <inline-formula id="inf63">
<mml:math id="m66">
<mml:mrow>
<mml:mo stretchy="false">&#x27e8;</mml:mo>
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mi>A</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mtext>c</mml:mtext>
</mml:mrow>
</mml:msub>
</mml:mrow>
<mml:mo stretchy="false">&#x27e9;</mml:mo>
</mml:mrow>
</mml:math>
</inline-formula>, calculated as the total cell area divided by the total amount of nuclei (<xref ref-type="fig" rid="F1">Figure 1D</xref>). While <inline-formula id="inf64">
<mml:math id="m67">
<mml:mrow>
<mml:mo stretchy="false">&#x27e8;</mml:mo>
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mi>A</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mtext>c</mml:mtext>
</mml:mrow>
</mml:msub>
</mml:mrow>
<mml:mo stretchy="false">&#x27e9;</mml:mo>
</mml:mrow>
</mml:math>
</inline-formula> remains comparable to undifferentiated cells throughout all differentiation conditions, the two higher RA conditions exhibit a broader variation in <inline-formula id="inf65">
<mml:math id="m68">
<mml:mrow>
<mml:mo stretchy="false">&#x27e8;</mml:mo>
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mi>A</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mtext>c</mml:mtext>
</mml:mrow>
</mml:msub>
</mml:mrow>
<mml:mo stretchy="false">&#x27e9;</mml:mo>
</mml:mrow>
</mml:math>
</inline-formula>. Cells under these two conditions might be in various stages of the cell cycle, resulting in both small and normal-sized cells, which again suggests an increased proliferation activity. On the other hand, <inline-formula id="inf66">
<mml:math id="m69">
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mi>N</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mtext>n</mml:mtext>
</mml:mrow>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula> is lowered for all reduced FBS conditions, indicating cell detachment, which could be explained by the lower amount of adhesion factors provided. In contrast, for the 10% FBS condition, <inline-formula id="inf67">
<mml:math id="m70">
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mi>N</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mtext>n</mml:mtext>
</mml:mrow>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula> remains comparable to the nuclei number of undifferentiated cells at <inline-formula id="inf68">
<mml:math id="m71">
<mml:mrow>
<mml:mi>t</mml:mi>
<mml:mo>&#x3d;</mml:mo>
<mml:mn>0</mml:mn>
</mml:mrow>
</mml:math>
</inline-formula>, implying dominant differentiation and cell fusion, as indicated by <inline-formula id="inf69">
<mml:math id="m72">
<mml:mrow>
<mml:mo stretchy="false">&#x27e8;</mml:mo>
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mi>A</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mtext>r</mml:mtext>
</mml:mrow>
</mml:msub>
</mml:mrow>
<mml:mo stretchy="false">&#x27e9;</mml:mo>
</mml:mrow>
</mml:math>
</inline-formula> (<xref ref-type="fig" rid="F1">Figure 1B</xref>).</p>
<p>To illustrate the above-mentioned results further, <xref ref-type="fig" rid="F1">Figures 1E&#x2013;G</xref> feature three typical examples of fluorescence-stained H9c2 cells after 2 weeks under the 10% FBS, 1% FBS, and 1% FBS with 10&#xa0;nM RA conditions. The nuclei and F-actin channels demonstrate the difference in <inline-formula id="inf70">
<mml:math id="m73">
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mi>N</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mtext>n</mml:mtext>
</mml:mrow>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula> and the total cell number respectively, whereas the alpha actinin channel exemplifies <inline-formula id="inf71">
<mml:math id="m74">
<mml:mrow>
<mml:mo stretchy="false">&#x27e8;</mml:mo>
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mi>A</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mtext>r</mml:mtext>
</mml:mrow>
</mml:msub>
</mml:mrow>
<mml:mo stretchy="false">&#x27e9;</mml:mo>
</mml:mrow>
</mml:math>
</inline-formula>. When comparing the cell morphology of the 10% FBS and 1% FBS condition without medium exchange, the cells exhibit an elongated shape and multiple nuclei in both. However, the 10% FBS condition leads to thick, voluminous cells, whereas the 1% FBS condition results in rather thin, spindle-like cells. This difference can also be detected in phase-contrast images (not shown). Since both conditions lack the addition of RA, the differentiated cells should be skeletal muscle cells according to the literature (<xref ref-type="bibr" rid="B35">M&#xe9;nard et al., 1999</xref>; <xref ref-type="bibr" rid="B4">Branco et al., 2015</xref>). To confirm this assumption, these two conditions were investigated in more detail.</p>
</sec>
<sec id="s3-2">
<title>3.2 Phenotype determination</title>
<p>As indicated above, the influence of both differentiation conditions, i.e. 10% and 1% FBS, without RA and medium exchange was examined to determine whether the cells are cardiac or skeletal myocytes. In addition to &#x3b1;A, the cells were fluorescence stained with a cardiac Troponin T (cTT) antibody to distinguish heart and skeletal muscle cells. The cTT is highly specific for cardiac cells and only reacts with differentiated myocytes but not with undifferentiated myoblasts. Therefore, it also serves as an additional differentiation marker. <xref ref-type="fig" rid="F2">Figure 2A</xref> compares <inline-formula id="inf72">
<mml:math id="m75">
<mml:mrow>
<mml:mo stretchy="false">&#x27e8;</mml:mo>
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mi>A</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mtext>r</mml:mtext>
</mml:mrow>
</mml:msub>
</mml:mrow>
<mml:mo stretchy="false">&#x27e9;</mml:mo>
</mml:mrow>
</mml:math>
</inline-formula> in relation to both &#x3b1;A and cTT for control cells at <inline-formula id="inf73">
<mml:math id="m76">
<mml:mrow>
<mml:mi>t</mml:mi>
<mml:mo>&#x3d;</mml:mo>
<mml:mn>0</mml:mn>
</mml:mrow>
</mml:math>
</inline-formula> and differentiated cells after 2&#xa0;weeks under the 10% and 1% FBS conditions without medium exchange. For both differentiation conditions, the cells are positive for cTT, and therefore, they are indeed cardiac muscle cells, contrarily to the initial assumption. Similarly, <xref ref-type="fig" rid="F2">Figure 2B</xref> illustrates the nuclei ratio <inline-formula id="inf74">
<mml:math id="m77">
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mi>N</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mtext>r</mml:mtext>
</mml:mrow>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula>, which is defined as the nuclei number of the differentiated cells divided by <inline-formula id="inf75">
<mml:math id="m78">
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mi>N</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mtext>n</mml:mtext>
</mml:mrow>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula> and presents another independent way to quantify the differentiation efficiency. Both <inline-formula id="inf76">
<mml:math id="m79">
<mml:mrow>
<mml:mo stretchy="false">&#x27e8;</mml:mo>
<mml:mrow>
<mml:msub>
<mml:mrow>
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</mml:mrow>
<mml:mrow>
<mml:mtext>r</mml:mtext>
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</mml:mrow>
<mml:mo stretchy="false">&#x27e9;</mml:mo>
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</inline-formula> and <inline-formula id="inf77">
<mml:math id="m80">
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mi>N</mml:mi>
</mml:mrow>
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<mml:mtext>r</mml:mtext>
</mml:mrow>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula> show comparable differentiation rates for &#x3b1;A and cTT within the same differentiation condition. Thus, all of the differentiated cells are cardiomyocytes; there is no indication of skeletal muscle cells, which we also exemplarily confirmed for the <inline-formula id="inf78">
<mml:math id="m81">
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mi>c</mml:mi>
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<mml:mrow>
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</mml:mrow>
</mml:msub>
<mml:mo>&#x3d;</mml:mo>
<mml:mn>10</mml:mn>
</mml:mrow>
</mml:math>
</inline-formula> nM condition (see <xref ref-type="sec" rid="s10">Supplementary Figure S1</xref>). This is in contrast to previous findings which claim that addition of RA is necessary to form heart cells (<xref ref-type="bibr" rid="B35">M&#xe9;nard et al., 1999</xref>). Comparing the differentiation rate, <inline-formula id="inf79">
<mml:math id="m82">
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mi>N</mml:mi>
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<mml:mtext>r</mml:mtext>
</mml:mrow>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula> is even higher than <inline-formula id="inf80">
<mml:math id="m83">
<mml:mrow>
<mml:mo stretchy="false">&#x27e8;</mml:mo>
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mi>A</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mtext>r</mml:mtext>
</mml:mrow>
</mml:msub>
</mml:mrow>
<mml:mo stretchy="false">&#x27e9;</mml:mo>
</mml:mrow>
</mml:math>
</inline-formula>. Around 50% of the nuclei under the 10% FBS condition and 25% under the 1% FBS condition belong to differentiated cells, respectively. During differentiation, cells fuse and consequently possess multiple nuclei, however, the area does not correspond linearly to the number of nuclei per cell. For the control cells <inline-formula id="inf81">
<mml:math id="m84">
<mml:mrow>
<mml:mo stretchy="false">(</mml:mo>
<mml:mrow>
<mml:mi>t</mml:mi>
<mml:mo>&#x3d;</mml:mo>
<mml:mn>0</mml:mn>
</mml:mrow>
<mml:mo stretchy="false">)</mml:mo>
</mml:mrow>
</mml:math>
</inline-formula>, a slight difference between &#x3b1;A and cTT can be noticed for both <inline-formula id="inf82">
<mml:math id="m85">
<mml:mrow>
<mml:mo stretchy="false">&#x27e8;</mml:mo>
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mi>A</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mtext>r</mml:mtext>
</mml:mrow>
</mml:msub>
</mml:mrow>
<mml:mo stretchy="false">&#x27e9;</mml:mo>
</mml:mrow>
</mml:math>
</inline-formula> and <inline-formula id="inf83">
<mml:math id="m86">
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mi>N</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mtext>r</mml:mtext>
</mml:mrow>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula>. Very few of the undifferentiated cells already expressed some level of cTT. On the one hand, cTT might be produced earlier than &#x3b1;A as soon as the cells reach confluence. On the other hand, a minority of H9c2 cells could occasionally produce cTT during some phases of the cell cycle and lose it again. To examine this hypothesis, undifferentiated myoblasts were observed 1&#xa0;hour after cell seeding (see <xref ref-type="sec" rid="s10">Supplementary Figure S2</xref>). At this point, no cardiac Troponin T was found. Hence, it is more likely that cTT is formed as soon as the cells reach confluence.</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Quantification of sarcomeric alpha actinin (&#x3b1;A) and cardiac Troponin T (cTT) in differentiated H9c2 cells. <bold>(A, B)</bold> Comparison of the area <inline-formula id="inf84">
<mml:math id="m87">
<mml:mrow>
<mml:mo stretchy="false">&#x27e8;</mml:mo>
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mi>A</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mtext>r</mml:mtext>
</mml:mrow>
</mml:msub>
</mml:mrow>
<mml:mo stretchy="false">&#x27e9;</mml:mo>
</mml:mrow>
</mml:math>
</inline-formula> and nuclei <inline-formula id="inf85">
<mml:math id="m88">
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mi>N</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mtext>r</mml:mtext>
</mml:mrow>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula> ratio of differentiated cells for &#x3b1;A (orange) and cTT (blue) at different differentiation conditions. <bold>(C)</bold> Differentiated cell area <inline-formula id="inf86">
<mml:math id="m89">
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mi>A</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mtext>diff</mml:mtext>
</mml:mrow>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula> <italic>versus</italic> number <inline-formula id="inf87">
<mml:math id="m90">
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mi>N</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mtext>diff</mml:mtext>
</mml:mrow>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula> for &#x3b1;A (gray) and cTT (blue) at the 10% FBS (diamonds) and 1% FBS (squares) conditions. The slope of the solid lines (least squared fitted) indicates the average size differentiated cells occupy for each nucleus and is stated as <inline-formula id="inf88">
<mml:math id="m91">
<mml:mrow>
<mml:mo stretchy="false">&#x27e8;</mml:mo>
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mi>A</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mtext>c,diff</mml:mtext>
</mml:mrow>
</mml:msub>
</mml:mrow>
<mml:mo stretchy="false">&#x27e9;</mml:mo>
</mml:mrow>
</mml:math>
</inline-formula>. <bold>(D, E, G)</bold> Fluorescence stainings of differentiated H9c2 cells at 10% FBS and 1% FBS. <bold>(F, H)</bold> Fluorescence stainings of primary heart cells. Shown are the nuclei (blue), F-actin (red) and either cTT or &#x3b1;A (green), as indicated.</p>
</caption>
<graphic xlink:href="fcell-12-1501540-g002.tif"/>
</fig>
<p>Additionally, differentiation with 10% FBS not only increases the differentiation rate as quantified by <inline-formula id="inf89">
<mml:math id="m92">
<mml:mrow>
<mml:mo stretchy="false">&#x27e8;</mml:mo>
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<mml:mrow>
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<mml:mo stretchy="false">&#x27e9;</mml:mo>
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</inline-formula> and <inline-formula id="inf90">
<mml:math id="m93">
<mml:mrow>
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<mml:mrow>
<mml:mi>N</mml:mi>
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<mml:mrow>
<mml:mtext>r</mml:mtext>
</mml:mrow>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula> (<xref ref-type="fig" rid="F2">Figures 2A, B</xref>) but also leads to larger cells. <xref ref-type="fig" rid="F2">Figure 2C</xref> displays a connection between the number of nuclei <inline-formula id="inf91">
<mml:math id="m94">
<mml:mrow>
<mml:mo stretchy="false">(</mml:mo>
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mi>N</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mtext>diff</mml:mtext>
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</mml:msub>
</mml:mrow>
<mml:mo stretchy="false">)</mml:mo>
</mml:mrow>
</mml:math>
</inline-formula> and the area <inline-formula id="inf92">
<mml:math id="m95">
<mml:mrow>
<mml:mo stretchy="false">(</mml:mo>
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mi>A</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mtext>diff</mml:mtext>
</mml:mrow>
</mml:msub>
</mml:mrow>
<mml:mo stretchy="false">)</mml:mo>
</mml:mrow>
</mml:math>
</inline-formula> of differentiated cells within one recorded image. The slopes indicate the average differentiated cell area one nucleus occupies <inline-formula id="inf93">
<mml:math id="m96">
<mml:mrow>
<mml:mo stretchy="false">(</mml:mo>
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mi>A</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mtext>c,diff</mml:mtext>
</mml:mrow>
</mml:msub>
</mml:mrow>
<mml:mo stretchy="false">)</mml:mo>
</mml:mrow>
</mml:math>
</inline-formula> as about 1500&#xa0;&#x3bc;m<sup>2</sup> and 1100&#xa0;&#x3bc;m<sup>2</sup> for differentiation media with 10% and 1% FBS. Consequently, cells differentiated with 10% FBS are almost 50% larger than cells differentiated with 1% FBS. This confirms the impression already exemplified in <xref ref-type="fig" rid="F1">Figures 1E, F</xref> for &#x3b1;A. For cTT, the same difference in area size and morphology between the two conditions is depicted in <xref ref-type="fig" rid="F2">Figures 2D, E</xref>. Again, the 10% FBS cells (<xref ref-type="fig" rid="F2">Figure 2D</xref>) appear more voluminous and larger than the 1% FBS cells (<xref ref-type="fig" rid="F2">Figure 2E</xref>). Hence, if the FBS concentration is reduced during differentiation, the cells visibly exhibit signs of starvation. This starvation might result in stress and thus negatively influence the differentiation efficiency. For comparison, <xref ref-type="fig" rid="F2">Figure 2F</xref> shows cTT-stained primary cardiomyocytes which display comparable sarcomeric structures.</p>
<p>Another relation to primary cells appears when examining the differentiated 10% FBS cells more closely. Some cells developed sarcomere-characteristic striation (<xref ref-type="fig" rid="F2">Figure 2G</xref>). While the striation is hard to detect in the orthogonally projected images, it can be seen clearer when going through the individual focal heights (see enlargements in <xref ref-type="fig" rid="F2">Figure 2G</xref>). This finding strongly contradicts preceding studies which could not identify striation and even implied that differentiated H9c2 cells lack striation altogether (<xref ref-type="bibr" rid="B52">Suhaeri et al., 2015</xref>). In contrast to those studies, we used a differentiation condition that has not been considered before but led to a significantly improved differentiation. Comparing the 10% FBS cells with primary cardiomyocytes as regards &#x3b1;A again reveals strong likeness between the two (<xref ref-type="fig" rid="F2">Figure 2H</xref>). This even implies that differentiated H9c2 cells might be functioning cardiomyocytes.</p>
</sec>
<sec id="s3-3">
<title>3.3 Cardiac cell dynamics</title>
<p>Due to the similarity of differentiated H9c2 cells to primary cardiomyocytes, the 10% and 1% FBS cells were examined for their calcium response, since it is part of the regulation of various functions such as contractility, hypertrophy, and gene expression (<xref ref-type="bibr" rid="B1">Aronsen et al., 2016</xref>). The differentiated cells were stained with the fluorescent dye Fluo-8 and stimulated by an electric field of about 10&#xa0;V/cm to investigate the free intracellular Ca<sup>2&#x2b;</sup> concentration (<xref ref-type="fig" rid="F3">Figure 3A</xref>). The monophasic stimulation applied by an stimulation duration <inline-formula id="inf94">
<mml:math id="m97">
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mi>&#x3c4;</mml:mi>
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<mml:mrow>
<mml:mtext>s</mml:mtext>
</mml:mrow>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula> of 10&#xa0;ms or 50&#xa0;ms and a pacing period <inline-formula id="inf95">
<mml:math id="m98">
<mml:mrow>
<mml:mi>T</mml:mi>
</mml:mrow>
</mml:math>
</inline-formula> ranging between 1000&#xa0;ms and 240&#xa0;ms. The recorded calcium signal was then used to extract the restitution properties of the cells at a single location (see <xref ref-type="disp-formula" rid="e3">Equation 3</xref>). <xref ref-type="fig" rid="F3">Figure 3B</xref> shows an example of the relation between calcium transient duration (CTD) and the calcium transient interval (CTI) for cells at 10% FBS after 10 days of differentiation. At 240&#xa0;ms, the pacing was stopped since the signal-to-noise ration reached a critical level. This typical restitution property can also be illustrated using a signal oversampling analysis of the calcium transient, where individual waves are stacked and averaged (<xref ref-type="bibr" rid="B26">H&#xf6;rning et al., 2017b</xref>; <xref ref-type="bibr" rid="B19">Erhardt et al., 2024</xref>). <xref ref-type="fig" rid="F3">Figure 3C</xref> displays three examples at different pacing periods. While the red line indicates the respective means, the black lines show the individual calcium transient curves. Even though the samples feature typical restitution properties for individual cells, i.e., a correlation between CTI and CTD for smaller <inline-formula id="inf96">
<mml:math id="m99">
<mml:mrow>
<mml:mi>T</mml:mi>
</mml:mrow>
</mml:math>
</inline-formula>, and a CTD plateau for larger T, no wave conduction between the cells could be observed. Further, we did not detect any contractile motions in the tissue. However, considering the number of cells and the lower degree of sarcomere development in H9c2 cells compared to primary heart cells (<xref ref-type="fig" rid="F2">Figures 2G, H</xref>), we are unable to conclusively state whether H9c2 cells are able to beat at this point.</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Calcium transients of differentiated H9c2 cells. <bold>(A)</bold> Scheme of experimental setup. The electric field of 10&#xa0;V/cm is applied with a monophasic stimulation period <inline-formula id="inf97">
<mml:math id="m100">
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mi>&#x3c4;</mml:mi>
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<mml:mtext>s</mml:mtext>
</mml:mrow>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula> of either 10&#xa0;ms or 50&#xa0;ms. <bold>(B)</bold> Restitution curve of differentiated H9c2 cells at 10% FBS after 10 days at <inline-formula id="inf98">
<mml:math id="m101">
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mi>&#x3c4;</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mtext>s</mml:mtext>
</mml:mrow>
</mml:msub>
<mml:mo>&#x3d;</mml:mo>
<mml:mn>10</mml:mn>
</mml:mrow>
</mml:math>
</inline-formula> ms. The data points show the mean values and the error bars the standard deviation. <bold>(C)</bold> Example of normalized calcium transience (red lines) for <inline-formula id="inf99">
<mml:math id="m102">
<mml:mrow>
<mml:mi>T</mml:mi>
<mml:mo>&#x3d;</mml:mo>
<mml:mn>1000</mml:mn>
</mml:mrow>
</mml:math>
</inline-formula> ms, <inline-formula id="inf100">
<mml:math id="m103">
<mml:mrow>
<mml:mi>T</mml:mi>
<mml:mo>&#x3d;</mml:mo>
<mml:mn>500</mml:mn>
</mml:mrow>
</mml:math>
</inline-formula> ms, and <inline-formula id="inf101">
<mml:math id="m104">
<mml:mrow>
<mml:mi>T</mml:mi>
<mml:mo>&#x3d;</mml:mo>
<mml:mn>300</mml:mn>
</mml:mrow>
</mml:math>
</inline-formula> ms for cells in <bold>(B)</bold>. The black lines represent the periodically stacked individual calcium transients. <bold>(D&#x2013;F)</bold> Examples of calcium transiences observed under different conditions and times. The left panels illustrate the amplitudes obtained by Fourier transformation imaging (FFI), and the right panels show the calcium transients of a single location. The examples are stimulated with <inline-formula id="inf102">
<mml:math id="m105">
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mi>&#x3c4;</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mtext>s</mml:mtext>
</mml:mrow>
</mml:msub>
<mml:mo>&#x3d;</mml:mo>
<mml:mn>50</mml:mn>
</mml:mrow>
</mml:math>
</inline-formula> ms and <inline-formula id="inf103">
<mml:math id="m106">
<mml:mrow>
<mml:mi>T</mml:mi>
<mml:mo>&#x3d;</mml:mo>
<mml:mn>1000</mml:mn>
</mml:mrow>
</mml:math>
</inline-formula> ms. The black lines represent the periodically stacked individual calcium transience and the red lines the normalized calcium transience.</p>
</caption>
<graphic xlink:href="fcell-12-1501540-g003.tif"/>
</fig>
<p>For the 1% FBS condition, no wave conduction was detected either, and the calcium transients exhibited weaker signals, i.e., lower signal-to-noise ratio. <xref ref-type="fig" rid="F3">Figure 3D</xref> illustrates such an example along with a normalized amplitude of a <inline-formula id="inf104">
<mml:math id="m107">
<mml:mrow>
<mml:mn>6</mml:mn>
<mml:mo>&#xd7;</mml:mo>
<mml:mn>6</mml:mn>
</mml:mrow>
</mml:math>
</inline-formula> mm<sup>2</sup> field of view analyzed by Fourier transformation imaging (FFI) (<xref ref-type="bibr" rid="B26">H&#xf6;rning et al., 2017b</xref>). Calcium transients were observed only at very few locations in the tissue (yellowish color). In contrast, for the same age of the tissue (16 days) but the 10% FBS condition, active areas with stronger signals were identified (<xref ref-type="fig" rid="F3">Figure 3E</xref>). The strongest signal was detected after 9&#x2013;10&#xa0;days of differentiation (<xref ref-type="fig" rid="F3">Figures 3C, F</xref>), implying a maximum maturity before 2&#xa0;weeks. Thus, the starvation over the long time period causes a reduction of active, functional cells. Nevertheless, the differentiated H9c2 cells under the 10% and 1% FBS conditions show calcium transients similar to primary heart cells and are therefore functional cardiac cells, at least in terms of their calcium response.This finding does not contradict the increase upregulation of Ca<sup>2&#x2b;</sup> channels in the presence of 1% FBS <xref ref-type="bibr" rid="B35">M&#xe9;nard et al. (1999)</xref>, because the lower signal-to-noise ratio of the Calcium transients is mainly caused by the difference in the differentiation ratio of cells. Whether the Calcium transient amplitude on a single cell level changes under different culture conditions still remains to be investigated in more detail with a different observational approach.</p>
</sec>
<sec id="s3-4">
<title>3.4 Optimal extracellular matrix condition</title>
<p>As glass does not represent the optimal extracellular matrix (ECM) condition for muscle cells, artificial ECMs, such as hydrogels, were used in the past. They better mimic natural ECM conditions (<xref ref-type="bibr" rid="B25">H&#xf6;rning et al., 2012</xref>; <xref ref-type="bibr" rid="B17">Engler et al., 2006</xref>; <xref ref-type="bibr" rid="B16">Engler et al., 2004</xref>; <xref ref-type="bibr" rid="B6">Brock et al., 2022</xref>) and influence differentiation (<xref ref-type="bibr" rid="B16">Engler et al., 2004</xref>; <xref ref-type="bibr" rid="B50">Smith et al., 2018</xref>; <xref ref-type="bibr" rid="B13">Denes et al., 2019</xref>). In order to identify the optimal ECM condition for H9c2 cells, the response of single cells to polyacrylamide hydrogels with an E-modulus of <inline-formula id="inf105">
<mml:math id="m108">
<mml:mrow>
<mml:mi>E</mml:mi>
<mml:mo>&#x3d;</mml:mo>
<mml:mn>12.4</mml:mn>
</mml:mrow>
</mml:math>
</inline-formula> kPa were tested initially. This was chosen since it matches the natural rigidity of muscle cells (<xref ref-type="bibr" rid="B16">Engler et al., 2004</xref>). In a previous study, we established ECM conditions for the C2C12 myoblast cell line and observed the largest cell area at <inline-formula id="inf106">
<mml:math id="m109">
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mi>&#x3c1;</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mtext>FN</mml:mtext>
</mml:mrow>
</mml:msub>
<mml:mo>&#x3d;</mml:mo>
<mml:mn>2.6</mml:mn>
</mml:mrow>
</mml:math>
</inline-formula> &#xb5;g/cm<sup>2</sup> on 12&#xa0;kPa hydrogels (<xref ref-type="bibr" rid="B6">Brock et al., 2022</xref>). For the experiments, the cells were seeded in low densities on either plane or mechanically-roughened hydrogels, which were functionalized with different fibronectin densities (<inline-formula id="inf107">
<mml:math id="m110">
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mi>&#x3c1;</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mtext>FN</mml:mtext>
</mml:mrow>
</mml:msub>
<mml:mo>&#x3d;</mml:mo>
<mml:mn>0.4</mml:mn>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>4.0</mml:mn>
</mml:mrow>
</mml:math>
</inline-formula> &#xb5;g/cm<sup>2</sup>). After 24h, the cells were fluorescence stained and statistically analyzed. <xref ref-type="fig" rid="F4">Figure 4A</xref> compares fluorescence-stained cells on plane hydrogels that were coated with 0.4 and 2.6&#xa0;&#x3bc;g/cm<sup>2</sup> fibronectin, respectively. The cells on the hydrogels with the lower fibronectin density appear smaller in size and more circular in shape. In contrast, the cells on the higher fibronectin density display a more complex spreading conformation by showing longer actin filaments, which indicates stronger adhesion to the coated substrate.</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>Single H9c2 cells on soft hydrogels coated with different fibronectin densities <inline-formula id="inf108">
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</caption>
<graphic xlink:href="fcell-12-1501540-g004.tif"/>
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</inline-formula> are fitting parameters. The black solid line represents the respective fit of <xref ref-type="disp-formula" rid="e4">Equation 4</xref> with an optimum at about <inline-formula id="inf124">
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</inline-formula> &#xb5;g/cm<sup>2</sup> (<xref ref-type="fig" rid="F4">Figure 4B</xref>). This analysis has been applied before for C2C12 cells on collagen (<xref ref-type="bibr" rid="B58">Zemel et al., 2010</xref>) and fibronectin coated hydrogels (<xref ref-type="bibr" rid="B6">Brock et al., 2022</xref>). In the latter study, the maximum was also determined at <inline-formula id="inf125">
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</inline-formula> are also depicted for single H9c2 cells on glass, displaying similar values as cells on hydrogels with higher fibronectin density.</p>
<p>Since plane substrates do not promote the formation of confluent tissue, hydrogels (<inline-formula id="inf128">
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</inline-formula> kPa) that were mechanically roughened and thus feature micro scratches on their surface to support cell adhesion were tested, as a further step. <xref ref-type="fig" rid="F4">Figure 4D</xref> illustrates examples of fluorescence-stained cells on roughened hydrogels at <inline-formula id="inf129">
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</inline-formula> and 2.6&#xa0;&#x3bc;g/cm<sup>2</sup>. Similar to cells on plane substrates, the cells on the lower fibronectin density seem slightly smaller than on the higher density. Nevertheless, the cells appear visibly larger and their actin filaments more oriented than on the plane hydrogels, especially for <inline-formula id="inf130">
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</inline-formula>, as indicated by the solid and dashed line in <xref ref-type="fig" rid="F4">Figure 4E</xref>. This difference is especially noticeable for the cells cultured on low <inline-formula id="inf137">
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</inline-formula> &#xb5;g/cm<sup>2</sup>, for instance, the cells are about twice as large on the roughened hydrogels. Thus, the micro pattern influences cell adhesion. In conclusion, a more natural ECM, provided through the hydrogel, seems to be preferable for cells. As the mechanical roughening of the 12.4&#xa0;kPa hydrogels in combination with a coating of <inline-formula id="inf139">
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</inline-formula> &#xb5;g/cm<sup>2</sup> leads to a maximum in both <inline-formula id="inf140">
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</inline-formula> for single H9c2 cells, this ECM condition was chosen for subsequent experiments on cell differentiation.</p>
</sec>
<sec id="s3-5">
<title>3.5 Differentiation on soft hydrogels</title>
<p>For the investigation of the differentiation dynamics of H9c2 cells on hydrogels, the optimum ECM condition, i.e., roughened hydrogel with <inline-formula id="inf142">
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</inline-formula> kPa and <inline-formula id="inf143">
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</inline-formula> &#xb5;g/cm<sup>2</sup>, in combination with the optimum medium condition (DMEM with 10% FBS) was used. <xref ref-type="fig" rid="F5">Figures 5A&#x2013;C</xref> show time-related comparisons between differentiation cells on glass and hydrogels at <inline-formula id="inf144">
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</inline-formula> and after 1 and 2 weeks of differentiation. The quantification of cells after 1 week was added since the cells expressed the highest calcium signals after 9&#x2013;10 days of differentiation (<xref ref-type="fig" rid="F3">Figure 3</xref>). The cells were stained with the differentiation marker &#x3b1;A. Again <inline-formula id="inf145">
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</inline-formula>, <inline-formula id="inf146">
<mml:math id="m150">
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</inline-formula> (<xref ref-type="fig" rid="F5">Figures 5D, E</xref>). Despite the natural substrate condition, the differentiation efficiency did not improve. Moreover, no striation could be detected for cells on hydrogels. However, in a few cases a comparable differentiation ratio was observed, as on glass. As opposed to this, the cells on glass reach their maximum differentiation ratio of about 40% after 1 week. Nevertheless, no sarcomere-typical striation could be found for those cells either, suggesting that their differentiation is not entirely completed after all and that a longer differentiation period is advantageous.</p>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption>
<p>Differentiation of H9c2 cells on hydrogels. <bold>(A&#x2013;C)</bold> Comparison of differentiated cells on glass and hydrogel with <inline-formula id="inf150">
<mml:math id="m154">
<mml:mrow>
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</inline-formula> kPa and <inline-formula id="inf151">
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<mml:mrow>
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<mml:mtext>FN</mml:mtext>
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</mml:msub>
<mml:mo>&#x3d;</mml:mo>
<mml:mn>2.6</mml:mn>
</mml:mrow>
</mml:math>
</inline-formula> &#xb5;g/cm<sup>2</sup> at 10% FBS. <bold>(A&#x2013;C)</bold> Comparison of the area <inline-formula id="inf152">
<mml:math id="m156">
<mml:mrow>
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</inline-formula> and nuclei <inline-formula id="inf153">
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</inline-formula> ratio of differentiated cells, and the total number of nuclei <inline-formula id="inf154">
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</inline-formula> per image. The gray circles represent the data from the individual <inline-formula id="inf155">
<mml:math id="m159">
<mml:mrow>
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<mml:mo>&#xd7;</mml:mo>
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</inline-formula> tiled images and the orange diamonds (glass) and blue circles (hydrogel) the means with standard errors. The asterisks indicate outliers. <bold>(D&#x2013;F)</bold> Exemplary fluorescence-stained cells, depicting nuclei (blue), sarcomeric alpha actinin (green), and F-actin (red).</p>
</caption>
<graphic xlink:href="fcell-12-1501540-g005.tif"/>
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<p>Regarding the total nuclei number <inline-formula id="inf156">
<mml:math id="m160">
<mml:mrow>
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<mml:mi>N</mml:mi>
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<mml:mrow>
<mml:mtext>n</mml:mtext>
</mml:mrow>
</mml:msub>
</mml:mrow>
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</inline-formula> (<xref ref-type="fig" rid="F5">Figure 5C</xref>), the number of cells observed on both glass and hydrogel at <inline-formula id="inf157">
<mml:math id="m161">
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<mml:mi>t</mml:mi>
<mml:mo>&#x3d;</mml:mo>
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</inline-formula> is comparable, suggesting sufficient adhesion to the substrate. During differentiation, however, the confluent cells on the hydrogels cluster and detach, resulting in lower <inline-formula id="inf158">
<mml:math id="m162">
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</inline-formula> after both 1 and 2&#xa0;weeks of differentiation. For primary cardiomyocytes, the roughened hydrogels provide sufficient adhesion to allow cardiac contraction (<xref ref-type="bibr" rid="B19">Erhardt et al., 2024</xref>), indicating that the proliferation and differentiation dynamics for H9c2 cells in confluent tissues are too strong, surpassing the adhesion forces and resulting in cell detachment. For comparison, <inline-formula id="inf159">
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<p>To visually illustrate the difference between the differentiation ratios on glass and hydrogels, <xref ref-type="fig" rid="F5">Figures 5D&#x2013;F</xref> show fluorescence-stained cells after 1 week on glass (<xref ref-type="fig" rid="F5">Figure 5D</xref>) and hydrogel (<xref ref-type="fig" rid="F5">Figure 5E</xref>), as well as, after 2 weeks on hydrogel (<xref ref-type="fig" rid="F5">Figure 5F</xref>). There are fewer differentiated cells on both hydrogels compared to glass and also some holes between the cells on the hydrogels which matches the lower <inline-formula id="inf160">
<mml:math id="m164">
<mml:mrow>
<mml:msub>
<mml:mrow>
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</inline-formula> and indicates detachment. Conclusively, the roughening of hydrogels enabled H9c2 cell differentiation, which was not possible on plane hydrogels, however, at a much lower differentiation efficiency than on glass substrates. Further improvements for cell attachment needs to be considered in future studies.</p>
</sec>
</sec>
<sec sec-type="conclusion" id="s4">
<title>4 Conclusion</title>
<p>Based on the statistical analysis, we showed that H9c2 cells differentiate most efficiently when left in 10% FBS medium for 1 week, whereas, sarcomeric striation was detected only after 2&#xa0;weeks. Unlike other studies that propose serum reduction and addition of retinoic acid for successful differentiation, this study indicates the use of the 10% FBS medium composition to be advantageous. It is also easier to apply, reduces workload and is more cost-efficient since no medium change or supplements are necessary. Moreover, all cells that differentiated in only 10% and 1% FBS medium were positive for the cardiac Troponin T marker indicating differentiation to cardiac cells without the addition of RA, which again stands in contrast with results of previous studies (<xref ref-type="bibr" rid="B35">M&#xe9;nard et al., 1999</xref>; <xref ref-type="bibr" rid="B4">Branco et al., 2015</xref>; <xref ref-type="bibr" rid="B43">Pereira et al., 2011</xref>). RA even seemed to inhibit cell differentiation, resulting in a significantly lower differentiation ratio for the three tested RA concentrations. This matches the results of another study with human myoblast cells that found an inhibition of RA on the expression of muscle differentiation markers such as Troponin T or myogenin, as well as, an upkeep of myoblast cells in an undifferentiated state (<xref ref-type="bibr" rid="B15">El Hadad et al., 2017</xref>). Similarly, another study recently discovered that differentiation of H9c2 cells into the cardiac phenotype is rather influenced by differentiation time than by addition of RA (<xref ref-type="bibr" rid="B7">Campero-Basaldua et al., 2023</xref>). In this connection, it should be noted that the passage number is also relevant for successful differentiation. For passages larger than 15, we observed that fewer cells appear morphologically differentiated, i.e., no elongated form and fewer cells with multiple nuclei. This might account for some studies, e.g., <xref ref-type="bibr" rid="B42">Patten et al. (2017)</xref>, being unsuccessful in differentiation.</p>
<p>While other studies could not detect striation in the myocytes or even claimed that the H9c2 cell line does not exhibit striation (<xref ref-type="bibr" rid="B52">Suhaeri et al., 2015</xref>), the formation of striated myocytes for the 10% FBS condition was demonstrated in this study. It seems that a high serum level influences differentiation positively and provides the cells with nutrients or other factors that are necessary for striated muscle formation. As we identified striation in the differentiated cells, we tested the calcium response of differentiated H9c2 cells and demonstrated that these cells exhibit calcium dynamics similar to primary heart cells. This strongly suggests that the differentiated cells are functional heart cells. However, more investigation is necessary on this feature. Further cardiac characteristics could be examined, for instance, the membrane potential and contractility. Nonetheless, this result supports previous studies that found functional similarities to cardiac cells, such as the expression of cardiac-typical L-type calcium channels (<xref ref-type="bibr" rid="B35">M&#xe9;nard et al., 1999</xref>; <xref ref-type="bibr" rid="B23">Hescheler et al., 1991</xref>) and cardiac-like responses to stimuli that cause hypertrophy (<xref ref-type="bibr" rid="B53">Watkins et al., 2011</xref>).</p>
<p>Finally, the use of hydrogels, that were expected to provide the cells with a more natural extracellular matrix, did not improve cell differentiation. One reason might be that the proliferation and differentiation dynamics are stronger than the adhesion forces and consequently lead to cell clustering and detachment. Nevertheless, we demonstrated that not only single C2C12 myoblasts (<xref ref-type="bibr" rid="B6">Brock et al., 2022</xref>) but also single H9c2 myoblasts prefer a fibronectin density of 2.6&#xa0;&#x3bc;g/cm<sup>2</sup>. For confluent, proliferating cells, however, plane and even surface roughened hydrogels are not sufficient to maintain differentiating cell cultures. Thus, more sophisticated cell platforms are necessary. Promising approaches are 3D printed and generated surfaces that provide stronger adhesion properties, as exemplified before (<xref ref-type="bibr" rid="B18">Erben et al., 2020</xref>; <xref ref-type="bibr" rid="B34">Mei et al., 2019</xref>; <xref ref-type="bibr" rid="B49">Shabankhah et al., 2024</xref>).</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s5">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec sec-type="author-contributions" id="s6">
<title>Author contributions</title>
<p>JB: Data curation, Investigation, Methodology, Writing&#x2013;original draft, Writing&#x2013;review and editing. MH: Conceptualization, Data curation, Formal Analysis, Methodology, Project administration, Software, Supervision, Visualization, Writing&#x2013;original draft, Writing&#x2013;review and editing.</p>
</sec>
<sec sec-type="funding-information" id="s7">
<title>Funding</title>
<p>The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article.</p>
</sec>
<ack>
<p>We would like to thank Julia Erhardt, Theresa K&#xfc;hn, and Nadine Oder for the insightful discussions. Our thanks also go to Joachim Spatz and Cornelia Miksch for providing access to the Atomic Force Microscope (AFM) at the Max Planck Institute for Intelligent Systems, Stuttgart, Germany. We are also grateful to Stephan Eisler and Melanie Noack for their support and assistance with microscopic imaging at the Stuttgart Research Center of Systems Biology (SRCSB), University of Stuttgart.</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="ai-statement" id="s10">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</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="s11">
<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/journals/cell-and-developmental-biology/articles/10.3389/fcell.2024.1501540/full#supplementary-material">https://www.frontiersin.org/journals/cell-and-developmental-biology/articles/10.3389/fcell.2024.1501540/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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