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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Cell. Infect. Microbiol.</journal-id>
<journal-title>Frontiers in Cellular and Infection Microbiology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Cell. Infect. Microbiol.</abbrev-journal-title>
<issn pub-type="epub">2235-2988</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fcimb.2025.1515779</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Cellular and Infection Microbiology</subject>
<subj-group>
<subject>Brief Research Report</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Biological boundary conditions regulate the internalization of <italic>Aspergillus fumigatus</italic> conidia by alveolar cells</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Schiefermeier-Mach</surname>
<given-names>Natalia</given-names>
</name>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2871476"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/funding-acquisition/"/>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
<role content-type="https://credit.niso.org/contributor-roles/visualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
<role content-type="https://credit.niso.org/contributor-roles/project-administration/"/>
<role content-type="https://credit.niso.org/contributor-roles/resources/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Polleux</surname>
<given-names>Julien</given-names>
</name>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/project-administration/"/>
<role content-type="https://credit.niso.org/contributor-roles/resources/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Heinrich</surname>
<given-names>Lea</given-names>
</name>
<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/validation/"/>
<role content-type="https://credit.niso.org/contributor-roles/visualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Lechner</surname>
<given-names>Lukas</given-names>
</name>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
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<role content-type="https://credit.niso.org/contributor-roles/funding-acquisition/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Vorona</surname>
<given-names>Olexandra</given-names>
</name>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/visualization/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Perkhofer</surname>
<given-names>Susanne</given-names>
</name>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/resources/"/>
</contrib>
</contrib-group>
<aff id="aff1">
<institution>Research and Innovation Unit, Health University of Applied Sciences Tyrol, FH
Gesundheit Tirol</institution>, <addr-line>Innsbruck</addr-line>, <country>Austria</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Muhammad Hafeez, Agricultural Research Service (USDA), United States</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Tejeshwar Rao, University of Houston, United States</p>
<p>Iman Haghani, Mazandaran University of Medical Sciences, Iran</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Natalia Schiefermeier-Mach, <email xlink:href="mailto:Natalia.schiefermeier-mach@fhg-tirol.ac.at">Natalia.schiefermeier-mach@fhg-tirol.ac.at</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>24</day>
<month>02</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>15</volume>
<elocation-id>1515779</elocation-id>
<history>
<date date-type="received">
<day>23</day>
<month>10</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>05</day>
<month>02</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Schiefermeier-Mach, Polleux, Heinrich, Lechner, Vorona and Perkhofer</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Schiefermeier-Mach, Polleux, Heinrich, Lechner, Vorona and Perkhofer</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>
<sec>
<title>Introduction</title>
<p>The lung environment is defined by unique biological boundary conditions, including complex alveolar geometry, extracellular matrix composition and mechanical forces generated during respiration. These factors were shown to regulate alveolar permeability, surfactant secretion, cell contractility and apoptosis, but their role in fungal infections remains unknown. <italic>Aspergillus fumigatus</italic> is a critical fungal pathogen that causes severe pulmonary infections in immunocompromised individuals. Our study addresses a knowledge gap by investigating how boundary conditions affect <italic>A. fumigatus</italic> conidia interactions with alveolar epithelial cells.</p>
</sec>
<sec>
<title>Methods</title>
<p>We applied micropatterned substrates to confine cells into defined shapes and densities, allowing precise control over geometric conditions and extracellular matrix composition. Using cell line stably expressing the phagolysosomal protein Lamp1-NeonGreen and multiplane fluorescent microscopy, we evaluated <italic>A. fumigatus</italic> conidia binding and internalization efficiency.</p>
</sec>
<sec>
<title>Results</title>
<p>We observed significantly faster and more efficient <italic>A. fumigatus</italic> conidia internalization in cells confined on micropatterns compared to previously reported studies using cell monolayers. Altering cell geometry, density and extracellular matrix composition strongly affected conidia binding and localization to Lamp1<sup>+</sup> phagolysosomes. Cells on X-shaped or multicellular micropatterns showed higher internalization rates, particularly at the periphery, suggesting spatial heterogeneity in pathogen uptake. Additionally, changes in extracellular matrix composition influenced the intracellular trafficking of <italic>A. fumigatus</italic> conidia.</p>
</sec>
<sec>
<title>Discussion</title>
<p>Our findings emphasize the essential role that local mechanical and biochemical cues play in shaping the interactions between fungal pathogens and alveolar cells. Understanding how lung boundary conditions change in disease states will provide important insights into fungal infection outcomes.</p>
</sec>
</abstract>
<kwd-group>
<kwd>boundary conditions</kwd>
<kwd>micropatterning</kwd>
<kwd>geometric constraints</kwd>
<kwd>alveolar cells</kwd>
<kwd>
<italic>Aspergillus fumigatus</italic>
</kwd>
<kwd>host-pathogen interactions</kwd>
</kwd-group>
<contract-sponsor id="cn001">Tiroler Wissenschaftsf&#xf6;rderung<named-content content-type="fundref-id">10.13039/501100009968</named-content>
</contract-sponsor>
<counts>
<fig-count count="4"/>
<table-count count="0"/>
<equation-count count="0"/>
<ref-count count="44"/>
<page-count count="11"/>
<word-count count="4500"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Fungal Pathogenesis</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Biological boundary conditions are the physical and biochemical constraints that define the cellular environment and regulate cellular responses. These conditions include cell number, shape, size, extracellular matrix (ECM) composition, substrate stiffness and intercellular forces (<xref ref-type="bibr" rid="B34">Vahey and Fletcher, 2014</xref>). Investigating boundary conditions is important for understanding how cells interact with their environment and how these interactions influence their function. They have been shown to regulate essential cellular processes, such as adhesion, migration, proliferation, endocytosis, and bacteria-cell binding (<xref ref-type="bibr" rid="B42">Wickstr&#xf6;m et&#xa0;al., 2010</xref>; <xref ref-type="bibr" rid="B13">Hamidi et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B2">Bastounis et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B37">Wang et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B12">Feng et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B16">Isomursu et&#xa0;al., 2024</xref>).</p>
<p>Micropatterned substrates have provided important insights into how geometric constraints affect cellular functions (<xref ref-type="bibr" rid="B1">Azioune et&#xa0;al., 2010</xref>; <xref ref-type="bibr" rid="B22">Muoth et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B43">Wickstr&#xf6;m and Niessen, 2018</xref>; <xref ref-type="bibr" rid="B36">van der Putten et&#xa0;al., 2022</xref>). Confining cells to specific shapes alters their biomechanical properties, including cytoskeletal organization and focal adhesion dynamics, consequently influencing intracellular signaling pathways (<xref ref-type="bibr" rid="B27">Schauer and Goud, 2014</xref>; <xref ref-type="bibr" rid="B15">He et&#xa0;al., 2015</xref>). For example, cells on circular micropatterns exhibit distinct polarization patterns regulated by mechanical forces, like shear stress and tension (<xref ref-type="bibr" rid="B15">He et&#xa0;al., 2015</xref>). Schauer and Goud (<xref ref-type="bibr" rid="B27">Schauer and Goud, 2014</xref>) showed that geometric constraints alter endocytic activities, leading to asymmetric uptake of transferrin and epidermal growth factor ligands. Biological boundary conditions have been also suggested to determine the fate of internalized molecules and microorganisms (<xref ref-type="bibr" rid="B22">Muoth et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B2">Bastounis et&#xa0;al., 2022</xref>).</p>
<p>The role of boundary conditions is particularly relevant in host-pathogen interactions, where they can regulate pathogen survival within tissues. Previous research has shown that bacterial pathogens such as <italic>Listeria monocytogenes</italic> and <italic>Shigella flexneri</italic> exploit host-cell mechanics to spread by manipulating mechanical forces at cell-cell junctions and altering intracellular tension (<xref ref-type="bibr" rid="B2">Bastounis et&#xa0;al., 2022</xref>). Furthermore, Feng et&#xa0;al. recently showed that the initial adhesion of <italic>Staphylococcus aureus</italic> and <italic>Escherichia coli</italic> to host cells can be modulated by altering ECM rigidity and geometric constraints (<xref ref-type="bibr" rid="B12">Feng et&#xa0;al., 2023</xref>). Although this study evaluated bacteria attachment on host cells under biological constraints, the role of boundary conditions in fungal pathogen-host interactions, including internalization process, remains unexplored representing a critical gap in understanding infection mechanisms. Fungal infections cause over 3.8 million deaths annually, with <italic>Aspergillus</italic> species responsible for the highest mortality rates among fungal diseases (<xref ref-type="bibr" rid="B9">Denning, 2024</xref>). <italic>Aspergillus fumigatus</italic> is recognized as one of the top four critical fungal pathogens by the WHO (<xref ref-type="bibr" rid="B41">WHO Antimicrobial Resistance Division, 2022</xref>). These saprotrophic fungi produce dense clouds of conidia containing up to 10<sup>8</sup> spores per cubic meter. In healthy individuals, conidia are cleared in the airway by innate immune mechanisms including mucociliary clearance and macrophage phagocytosis (<xref ref-type="bibr" rid="B19">Latg&#xe9;, 2001</xref>). However, in immunocompromised individuals, compromised immune defenses allow <italic>A. fumigatus</italic> to survive in the lungs, causing various forms of pulmonary aspergillosis, ranging from mild hypersensitivity to severe invasive infections (<xref ref-type="bibr" rid="B8">Dagenais and Keller, 2009</xref>; <xref ref-type="bibr" rid="B35">Vanderbeke et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B20">Latg&#xe9; and Chamilos, 2019</xref>).</p>
<p>Interaction between lung cells and <italic>A. fumigatus</italic> conidia is a complex process that involves both professional phagocytic cells and non-professional phagocytes like alveolar epithelial cells (<xref ref-type="bibr" rid="B39">Wasylnka and Moore, 2002</xref>, <xref ref-type="bibr" rid="B40">2003</xref>). Although phagocytic cells are more efficient, alveolar cells can also internalize conidia, potentially leading to their destruction (<xref ref-type="bibr" rid="B38">Wasylnka et&#xa0;al., 2005</xref>; <xref ref-type="bibr" rid="B18">Jia et&#xa0;al., 2023</xref>). Some conidia may still survive, ultimately re-entering the extracellular space and contributing to persistent infection (<xref ref-type="bibr" rid="B40">Wasylnka and Moore, 2003</xref>; <xref ref-type="bibr" rid="B6">Croft et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B7">Culibrk et&#xa0;al., 2019</xref>). Understanding how lung-specific boundary conditions influence conidia internalization will provide new insights into fungal infection mechanisms.</p>
<p>In this study, we developed an <italic>in vitro</italic> model to investigate the interactions between <italic>A. fumigatus</italic> conidia and alveolar epithelial cells using micropatterning techniques. This approach allowed us to evaluate how key features of alveolar boundary conditions affect conidia binding, internalization and intracellular trafficking. By addressing this knowledge gap, our work provides a novel perspective on the influence of lung-specific microenvironments on fungal infections. We demonstrate that the internalization and intracellular processing of fungal conidia are significantly influenced by cell density, geometry and ECM composition. Expanding this approach to other pathogens could uncover novel mechanisms of infection and identify new targets for therapeutic intervention.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<label>2</label>
<title>Materials and methods</title>
<sec id="s2_1">
<label>2.1</label>
<title>Fungal strains and growth conditions</title>
<p>
<italic>A. fumigatus</italic> DAL (wild-type, CBS 144.89) strain was cultured in filter-cap cell culture bottles on sabouraud 4% glucose agar (15 g/L agar, 40 g/L D (+)-glucose, 10 g/L peptone, Sigma-Aldrich, 1.06404, Austria) at 37&#xb0;C for 10 days until full maturation of conidia was observed. Conidia were collected by plate flooding using sterile spore buffer (0.01% Tween, Fisher Scientific, 10113103, Germany, 0.9% NaCl, Carl Roth, 8986.1, Germany), centrifugated at 4000 rpm for 5 minutes and resuspended in sterile spore buffer.</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Cell culture</title>
<p>Human A549 cell line stably expressing Lamp1-NeonGreen (<xref ref-type="bibr" rid="B30">Schiefermeier-Mach et&#xa0;al., 2021</xref>) were cultured in a growth medium consisting of RPMI-1640 (Capricorn, RPMI-XA, Germany), 10% fetal bovine serum (FBS, Capricorn Scientific, FBS-11A, Germany), 2 &#xb5;l/ml puromycin, (Carl Roth, 0240.2, Germany) 1% penicillin/streptomycin (Capricorn Scientific, PS-B, Germany) and 1% L-glutamine (Capricorn Scientific, GLN-B, Germany).</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Culturing cells on coverslips with micropatterns</title>
<p>Micropatterns were generated with deep-ultraviolet (UV) lithography on polyethylene glycol (PEG)-coated glass coverslips. Glass coverslips were incubated in a 1 mM solution of a linear PEG-silane (Rapp Polymere &#x2013; reference 122000-71, Germany) in dry toluene for 20 h at 80&#xb0;C under inert atmosphere, in order to covalently immobilize a monolayer of PEG (<xref ref-type="bibr" rid="B1">Azioune et&#xa0;al., 2010</xref>; <xref ref-type="bibr" rid="B4">Clausen et&#xa0;al., 2023</xref>). The substrates were removed, rinsed intensively with isopropanol, methanol and water, and dried with nitrogen. A PEG-coated glass coverslip and a chromium-coated quartz photomask (Compugraphics, Jena) were assembled with a vacuum on a holder, which was immediately exposed to deep ultraviolet (UV) light using a low-pressure mercury lamp (NIQ 60/35 XL longlife lamp, quartz tube, 60 W from Heraeus Noblelight, Germany) at 5 cm distance for 5 min. Deep UV light with a wavelength of 185 nm oxidizes PEG, significantly impairs PEG antifouling properties and allows ECM protein adsorption. The patterned substrates were subsequently incubated with 150 &#x3bc;l of fibronectin (10 &#x3bc;g/ml, Sigma Aldrich, 341631, Austria) in PBS or vitronectin (3.3 &#xb5;l/ml, ProSci, 91-362, USA) at 4&#xb0;C overnight and washed once with PBS. 1 ml of growth medium containing 10<sup>5</sup> cells/ml (for smaller micropatterns) or 10<sup>6</sup> cells/ml (for bigger micropatterns) was added and incubated in growth medium with reduced FCS (1%) for 2 hours at 37&#xb0;C to allow adhesion. Cells were further carefully washed with warm PBS to remove unattached cells and further incubated in growth medium with reduced FCS (1%) overnight.</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Infection with <italic>A. fumigatus</italic> conidia</title>
<p>For infection experiments, cells were grown in 35 mm culture dishes on fibronectin- or vitronectin-coated micropatterns in serum-reduced medium and incubated for 24 hours. After the incubation time, the serum-reduced medium was carefully replaced with fresh RPMI-1640 containing 10% FBS without antibiotics. Cells were infected with 10<sup>6</sup> cfu/ml <italic>A. fumigatus</italic> conidia. Infected cells were incubated for 1 and 3 hours at 37&#xb0;C prior to fixation.</p>
</sec>
<sec id="s2_5">
<label>2.5</label>
<title>Fluorescence microscopy</title>
<p>Cells infected with <italic>A. fumigatus</italic> conidia were fixed as described before with slight modifications (<xref ref-type="bibr" rid="B29">Scheffler et&#xa0;al., 2014</xref>). In short, 8% paraformaldehyde (PFA, Sigma Aldrich, 104005, Austria) in PBS was slowly added directly to the cells in cell medium in proportion 1:1 and incubated for 15 minutes at 37&#xb0;C. Then, medium-PFA mix was carefully replaced with 4% PFA, incubated further 15 minutes and washed with PBS. Cells were further incubated with a mixture of EasyProbe &#x2122; ActinRed 555 to visualize actin (THP Medical Products, FP032, Austria), Dapi (Sigma-Aldrich, D9542-5MG, Austria, 1:4000) for nuclei staining and 0.05% saponin in PBS for 1 hour at room temperature following washing in PBS and mounting on glass objective slides with Mowiol (Sigma-Aldrich, C9368, Austria).</p>
<p>All images were taken using an inverted wide-field IX83 Olympus Microscope (Olympus Austria) equipped with UPlanXApo 60x, 1.42 N.A, PH3 objective and 2x digital zoom. Images were recorded in fluorescence (Dapi, TRITC, FITC) and phase contrast (PH3) channels as multiplane Z-stacks with a step size set for all images at 0,5 &#xb5;m. A resolution of 2048 x 2048 and a 16-bit-grayscale were used. Images were further de-convoluted using cellSens software (Olympus, deconvolution parameters: nearest neighbor 50%). For TRITC/FITC fluorescence channels exposure times of 120-150 ms, for Dapi 8 ms and phase contrast (PH3) 60ms were applied. 50 micropatterns from 3 biological repetitions were analyzed for each data set. Manual analysis of images was performed independently by two trained scientists using the &#x201c;Point tool&#x201d; and &#x201c;Analyze-Measure&#x201d; functions in Fiji software (RRID: SCR_002285). Quantifications of the center of mass of fungal conidia, as well as Lamp1<sup>+</sup> and a subpopulation of Lamp1<sup>+</sup>Actin<sup>+</sup> were saved as X, Y-coordinates. Z-stacks were examined in parallel: Dapi staining was used to count the cell number, a multi-channel merged fluorescence image of FITC/TRITC channels was used to identify Lamp1<sup>+</sup> and Lamp1<sup>+</sup>Actin<sup>+</sup> vesicles, phase contrast images were used to quantify the total number of conidia and for the identification of co-localization with Lamp1-NeonGreen and actin.</p>
</sec>
<sec id="s2_6">
<label>2.6</label>
<title>Image quantification and statistical analysis</title>
<p>Analysis was performed in GraphPad Prism 10.1.2 (RRID: SCR_002798, USA) and figures were prepared in Fiji and Adobe Photoshop (RRID: SCR_014199). Tests used: descriptive statistics, ordinary one-way ANOVA (multiple comparisons), correlation analysis (correlation matrix, with Pearson coefficients, two-tailed, 95% confidence interval). The statistical significance of the data was determined by p-values.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>Micropattern size and cell density regulate <italic>A. fumigatus</italic> conidia binding and internalization</title>
<p>To investigate the influence of cell confinement on the internalization of <italic>A. fumigatus</italic> conidia, human A549 cells stably expressing Lamp1-NeonGreen were cultured on fibronectin-coated circular micropatterns of 28 &#xb5;m and 60 &#xb5;m in diameter. We used circular patterns of different sizes to minimize cell contractility in contrast to non-micropatterned substrates and X-shaped patterns. By increasing pattern diameter, cell density was increased and cell area decreased, leading further to changes in cell contractility. To obtain a reproducible cell density, suspended single cells were seeded on patterns for only 2 hours to avoid the formation of cellular aggregates and multilayers on individual patterns. Upon washing unbound cells, adhered cells were further cultured overnight to give them time to form a homogeneous monolayer, similar to an epithelial monolayer.</p>
<p>Cells were seeded at various densities to achieve 1 and 2 cells on smaller micropatterns and 10-12 cells on bigger patterns (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1A</bold>
</xref>). The defined cell geometry or grouping of cells on each micropattern facilitated the quantification and mapping of host-pathogen interaction events by overlaying conidia coordinates from 50 identical micropatterns. Lamp1-NeonGreen was used as a marker of conidia internalization into phagolysosomes (<xref ref-type="bibr" rid="B30">Schiefermeier-Mach et&#xa0;al., 2021</xref>). Infection of cells with dormant <italic>A. fumigatus</italic> conidia for 1 and 3 hours resulted in specific conidia adhesion to confined cells without binding to the PEG-coated surrounding area. The average total number of detected conidia was significantly higher on big micropatterns with multicellular islands in comparison to smaller ones and strongly increased over time. However, there were no differences for 28 &#xb5;m-micropattern with 1 or 2 cells (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1B</bold>
</xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Distribution and internalization of <italic>A fumigatus</italic> conidia in A549 cells
constrained on fibronection-coated circular micropatterns. <bold>(A)</bold> Representative images of
cells constrained on micropatterns with diameters of 28 &#xb5;m and 60 &#xb5;m, and different cell densities. <bold>(B)</bold> Quantification of the average number of total conidia per micropattern at 1 and 3 hours post-infection. <bold>(C)</bold> Conidia internalization into phagolysosomes after 1 hour post-infection (Lamp1<sup>+</sup> vesicles). Phase contrast image includes two focal planes superposed. The overview of Lamp1 distribution is shown as the maximal Z-projection of FITC/Dapi channels of 9 focal planes (MAX projection). Magnified images show conidia in Lamp1<sup>+</sup> vesicles (white arrows) and conidia without Lamp1 signal (red arrows). <bold>(D)</bold> Percentage of conidia internalized in Lamp1<sup>+</sup> vesicles relative to the total conidia number at 1 and 3 hours post-infection. <bold>(E)</bold> Conidia spatial distribution map of 50 overlaid micropatterns displaying Lamp1<sup>+</sup> vesicles with internalized conidia (green spheres) and conidia without Lamp1 signal (grey&#xa0;spheres). <bold>(F)</bold> The radial distribution of conidia defined as the distance between the micropattern center and the center of a single conidia. These distances were grouped into three segments (center, middle and edge of pattern). Depicted are conidia without Lamp1 (grey spheres) and conidia in Lamp1<sup>+</sup> vesicles (green spheres). *P&#x2264; 0.05; **P &#x2264; 0.01; ***P &#x2264; 0.001; ****P &#x2264; 0.0001; ns P &gt; 0.05. FP, focal plane; FN, fibronectin. Scale bars = 10 &#xb5;m. See also <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Video 1</bold>
</xref>.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcimb-15-1515779-g001.tif"/>
</fig>
<p>Multiplane imaging of cells by phase contrast and fluorescence microscopy revealed that some conidia were internalized into phagolysosomes (Lamp1<sup>+</sup> vesicles) already after 1 hour, (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1C</bold>
</xref>; <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Video S1</bold>
</xref>). Since cells on micropatterns of different sizes can bind different numbers of conidia per pattern, we further normalized all values to the &#x201c;total number of conidia&#x201d; for each individual micropattern condition for better comparisons. Quantification of conidia in Lamp1<sup>+</sup> vesicles as a part of all observed conidia showed a higher percentage on multicellular islands of 60 &#xb5;m in diameter as compared to cells on 28 &#xb5;m-patterns. Moreover, this percentage increased over time. Interestingly, not only the micropattern size but the number of cells per micropattern correlated with the number of phagolysosomes. There were significantly more conidia in Lamp1<sup>+</sup> vesicles when 2 cells were confined to 28 &#xb5;m-patterns in comparison to 1 cell (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1D</bold>
</xref>).</p>
<p>Further analysis of conidia distribution revealed that binding and phagolysosomal internalization of conidia were heterogeneously distributed across the micropattern (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1E</bold>
</xref>). Conidia mapping and their radial distribution showed that their binding and internalization at the outer edge of the 60 &#xb5;m-patterns is favored. A similar trend for 28 &#xb5;m-patterns with 2 cells was also observed. The lowest number of conidia was detected in the center of all micropatterns independent of size and cell number (<xref ref-type="fig" rid="f1">
<bold>Figures&#xa0;1E, F</bold>
</xref>).</p>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Cell density influences conidia trafficking in a subpopulation of Lamp1<sup>+</sup>Actin<sup>+</sup> vesicles</title>
<p>To further investigate the intracellular trafficking and processing of <italic>A. fumigatus</italic> conidia, we additionally stained infected cells with an actin probe to detect intracellular actin distribution. We have observed that a small subset of Lamp1<sup>+</sup> vesicles containing fungal conidia also displayed actin, forming a Lamp1<sup>+</sup>Actin<sup>+</sup> subpopulation (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2A</bold>
</xref>). The proportion of conidia within these double-positive vesicles was relatively small compared to the overall Lamp1<sup>+</sup> vesicles. However, the percentage of Lamp1<sup>+</sup>Actin<sup>+</sup> vesicles relative to the total conidia number, showed a significant increase of these vesicles in 28 &#xb5;m-patterns harboring 2 cells as compared to 1 cell or 10-12 cells on larger micropatterns (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2B</bold>
</xref>). Interestingly, in contrast to the population of Lamp1<sup>+</sup> vesicles, which increased over time, the percentage of conidia in double-positive vesicles remained stable between 1 and 3 hours (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2B</bold>
</xref>). Conidia mapping further showed the number and localization of double vesicles with a tendency toward micropattern edges on bigger micropatterns (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2C</bold>
</xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Internalization of <italic>A fumigatus</italic> conidia in a subpopulation of Lamp<sup>+</sup>Actin<sup>+</sup> vesicles in cells on circular micropatterns and effect of ECM composition on conidia internalization. <bold>(A)</bold> Representative example of two cells on fibronectin-coated circular micropattern (28 &#xb5;m). Overview of Lamp1 and Actin is shown as maximal Z-projection of FITC/TRITC channels of 9 focal planes. Magnified images show conidia in Lamp1<sup>+</sup> (green) and Lamp1<sup>+</sup>Actin<sup>+</sup> vesicles (red and green) 3 hours post-infection. Scale bars = 10 &#xb5;m. <bold>(B)</bold> Percentage of conidia internalized in Lamp1<sup>+</sup>Actin<sup>+</sup> vesicles relative to the total conidia number in cells constrained on fibronectin-coated circular micropatterns with different sizes and cell density at 1 and 3 hours post-infection. <bold>(C)</bold> Conidia spatial distribution map of 50 overlaid micropatterns displaying Lamp1<sup>+</sup>Actin<sup>+</sup> vesicles with internalized conidia (green spheres in red circles). <bold>(D)</bold> Comparison of vitronectin- and fibronectin micropatterns. Quantification of the average number of total conidia and the percentage of conidia internalized in Lamp1<sup>+</sup> and Lamp1<sup>+</sup>Actin<sup>+</sup> vesicles at 1 and 3 hours post-infection relative to the total conidia number. **P &#x2264; 0.01; ***P &#x2264; 0.001; ****P &#x2264; 0.0001; ns P &gt; 0.05. VN, vitronectin; FN, fibronectin. See also <xref ref-type="supplementary-material" rid="SF1">
<bold>Supplementary Figure&#xa0;1</bold>
</xref>.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcimb-15-1515779-g002.tif"/>
</fig>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>ECM composition impacts conidia binding, internalization and trafficking in micropatterned cells</title>
<p>Next, we assessed the impact of ECM substrates in our cell model. We analyzed multicellular island constrained on 60 &#xb5;m - micropattern coated with vitronectin (VN) instead of fibronectin (FN). VN is known from the literature to preferentially recruit &#xdf;3 integrins whereas FN recruits more &#xdf;1 integrins to coordinate cell adhesion (<xref ref-type="bibr" rid="B28">Schaufler et&#xa0;al., 2016</xref>). Analysis of conidia distribution on cells constricted on 60 &#xb5;m-patterns coated with VN, revealed that binding and phagolysosomal internalization of conidia were similarly to the ones on FN (<xref ref-type="supplementary-material" rid="SF1">
<bold>Supplementary Figure S1A</bold>
</xref>). With both coating conditions, more binding and internalization of conidia was observed at the outer edge of the micropattern (<xref ref-type="supplementary-material" rid="SF1">
<bold>Supplementary Figures S1A, B</bold>
</xref>). When we quantified the average total number of conidia, we observed a decrease when using VN versus FN (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2D</bold>
</xref>). However, the percentage of conidia internalized in the Lamp1<sup>+</sup> vesicles did not differ from the one observed in cells micropatterned on FN (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2D</bold>
</xref>). Interestingly, there was a strong difference between the substrates in terms of the percentage of conidia internalized into the subpopulation of Lamp1<sup>+</sup>Actin<sup>+</sup> vesicles: this percentage was increased when cells were constrained on VN (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2D</bold>
</xref>).</p>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>Cell shape and cell number impact conidia distribution and internalization in cells constricted on X-shaped micropatterns</title>
<p>To further investigate the impact of cell geometry on the cell-conidia interactions, we seeded A549-Lamp1-NeonGreen cells on X-shaped patterns with an edge of 28 &#xb5;m. By presenting edges and adhesion-free areas, X-shaped patterns allowed us to further modify cell contractility and investigate its effect on conidia internalization. By varying the number of cells, we established 3 distinct cell densities: 1, 2 and 4 cells per micropattern, each resulting in characteristic changes in cell morphology due to the shape constraints imposed by the X-pattern (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3A</bold>
</xref>). Upon infection with <italic>A. fumigatus</italic> conidia for 1 and 3 hours, we observed notable differences in conidia internalization across these conditions. Similarly to circular patterns, conidia were heterogeneously distributed across the micropattern with increased binding and internalization at the outer edge (<xref ref-type="fig" rid="f3">
<bold>Figures&#xa0;3B, C</bold>
</xref>). After 1 hour of infection, while the average total number of conidia did not differ, there was an increased percentage of conidia in Lamp1<sup>+</sup> vesicles in the 4-cell configuration in comparison to 1 cell and 2 cells (<xref ref-type="fig" rid="f3">
<bold>Figures&#xa0;3D, E</bold>
</xref>). After 3 hours of infection, the average total number of conidia correlated with cell number and was the highest in the 4-cell micropattern. Internalization of conidia in Lamp1<sup>+</sup> vesicles increased after 3 hours compared to 1 hour and was higher in micropatterns with 2 and 4 cells compared to those with only 1 cell. The percentage of conidia in double Lamp1<sup>+</sup>Actin<sup>+</sup> vesicles did not differ significantly between the X-micropatterns with different cell numbers and did not change over time.</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Distribution and internalization of <italic>A fumigatus</italic> conidia in A549 cells constrained on fibronectin-coated X-shaped micropatterns. <bold>(A)</bold> Representative phase contrast images of cells constrained on X-micropatterns with different cell densities. FN- fibronectin. Scale bars = 10 &#xb5;m. <bold>(B)</bold> The radial distribution of conidia defined as the distance between the micropattern center and the center of a single conidia. These distances were grouped into three segments (center, middle and edge of pattern). Depicted are conidia without Lamp1 (grey spheres) and conidia in Lamp1<sup>+</sup> vesicles (green spheres). <bold>(C)</bold> Map of conidia spatial distribution in 50 overlaid micropatterns showing Lamp1<sup>+</sup> vesicles with internalized conidia (green spheres), conidia without Lamp1 signal (grey spheres) and conidia in Lamp1<sup>+</sup>Actin<sup>+</sup> vesicles (green spheres in red circles). <bold>(D)</bold> Quantification of the average number of total conidia. <bold>(E)</bold> Percentage of conidia internalized in Lamp1<sup>+</sup> and in Lamp1<sup>+</sup>Actin<sup>+</sup> vesicles at 1 and 3 hours post-infection relative to the total conidia number. <bold>(F)</bold> Comparison of the percentage of conidia internalized in Lamp1<sup>+</sup> and Lamp1<sup>+</sup>Actin<sup>+</sup> vesicles in cells confined on X-shaped and circular micropatterns. *P&#x2264; 0.05; **P &#x2264; 0.01; ***P &#x2264; 0.001; ****P &#x2264; 0.0001; ns P &gt; 0.05.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcimb-15-1515779-g003.tif"/>
</fig>
<p>Interestingly, there were notable differences when comparing X-shaped to circular micropatterns (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3F</bold>
</xref>). Conidia were internalized more efficiently by cells constrained on X-micropatterns. Moreover, the percentage of double Lamp1<sup>+</sup>Actin<sup>+</sup> vesicles was also higher in these cells (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3F</bold>
</xref>). To further elucidate the relationship between different parameters and conidia internalization, we performed a correlation analysis using a correlation matrix and Pearson correlation coefficients. This analysis revealed that the percentage of conidia in Lamp1<sup>+</sup> and Lamp1<sup>+</sup>Actin<sup>+</sup> vesicles was negatively correlated with cell area at both 1 hour and 3 hours. This negative correlation was moderate after 1 hour (r=-0.447) and strong after 3 hours (r=-0.716). The correlation of cell area with Lamp1<sup>+</sup>Actin<sup>+</sup> vesicles was negative and moderate both after 1 hour (r=-0.310) and 3 hours (r=-0.299). No other significant correlations with other parameters were found.</p>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>Our study emphasizes the role of biological boundary conditions in the regulation of host-pathogen interactions in the lung. The complex geometry of the alveoli and the mechanical forces during respiration establish a unique environment that influences cellular behavior (<xref ref-type="bibr" rid="B26">Roan and Waters, 2011</xref>). Previous studies showed that cell geometry, ECM composition, and mechanical forces affect essential lung functions, including alveolar permeability (<xref ref-type="bibr" rid="B3">Cavanaugh et&#xa0;al., 2005</xref>), surfactant secretion (<xref ref-type="bibr" rid="B11">Edwards, 2001</xref>), and apoptosis (<xref ref-type="bibr" rid="B14">Hammerschmidt et&#xa0;al., 2007</xref>). Here, we extend this understanding by demonstrating that boundary conditions also regulate the binding, internalization and intracellular fate of <italic>A. fumigatus</italic> conidia in alveolar epithelial cells. Our data provided new insights into how the lung&#x2019;s microenvironment can influence infection outcomes, particularly under conditions of altered mechanical and biochemical cues.</p>
<p>The choice of micropatterns was particularly advantageous for our study as it allowed precise control over cell geometry, density, and ECM composition, simulating specific aspects of the alveolar environment. We observed that constraining cells on micropatterns strongly increased the efficiency of conidia binding and phagolysosomal internalization compared to previous studies with no cell confinement (<xref ref-type="bibr" rid="B39">Wasylnka and Moore, 2002</xref>; <xref ref-type="bibr" rid="B18">Jia et&#xa0;al., 2023</xref>), reaching up to 30% already after one hour of infection. Our results further showed that cell shape and density had profound effects on conidia uptake. Cells on X-shaped micropatterns demonstrated higher internalization efficiency compared to circular ones, suggesting that specific geometric configurations create environments more conducive to pathogen internalization. Previous studies in single cells showed that the size and shape of the micropattern influence contractility and actin organization (<xref ref-type="bibr" rid="B25">Pitaval et&#xa0;al., 2010</xref>; <xref ref-type="bibr" rid="B31">Th&#xe9;ry, 2010</xref>). Cells on X-shaped micropatterns had regions of localized higher tension, since this shape forced them to stretch along the diagonals, increasing mechanical stress at intersections and edges (<xref ref-type="bibr" rid="B17">James et&#xa0;al., 2008</xref>). In circular patterns, cellular tension was more evenly distributed, but still higher at the periphery than the center (<xref ref-type="bibr" rid="B33">Th&#xe9;ry et&#xa0;al., 2006</xref>; <xref ref-type="bibr" rid="B32">Th&#xe9;ry and Bornens, 2006</xref>). Such control over cell mechanics and geometry is a significant benefit of using micropatterning techniques, enabling detailed investigation into how specific physical constraints can enhance or limit pathogen internalization.</p>
<p>In multicellular islands, micropatterns dictate not only individual cell behavior but also the collective dynamics of cell groups (<xref ref-type="bibr" rid="B31">Th&#xe9;ry, 2010</xref>). Peripheral cells were observed to be more contractile compared to those in the center, with higher traction forces at the edges. This variation arose due to spatial confinement, leading to differences in cell proliferation and differentiation across the micropattern (<xref ref-type="bibr" rid="B23">Nelson et&#xa0;al., 2005</xref>; <xref ref-type="bibr" rid="B15">He et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B21">Lin et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B24">Nelson et&#xa0;al., 2024</xref>). Although larger single cells might theoretically offer more surface area for conidia binding, our results showed that smaller cells within multicellular islands internalized more conidia than larger, single cells. This was significant on both circular and X-shaped micropatterns. The geometric constraint also affected the recruitment of actin to the phagolysosomal membranes. Cells on X-shaped micropatterns exhibited a higher frequency of Lamp1<sup>+</sup>Actin<sup>+</sup> vesicles compared to circular ones. Interestingly, while the percentage of conidia in Lamp1<sup>+</sup> vesicles increased over the infection period, the percentage of Lamp1<sup>+</sup>Actin<sup>+</sup> vesicles plateaued after one hour, suggesting that actin recruitment to phagolysosomes may be limited to specific stages of vesicle maturation.</p>
<p>Moreover, the binding and internalization events were more frequent at the periphery of the multicellular micropattern. This finding was consistent with the work of Feng et&#xa0;al (<xref ref-type="bibr" rid="B12">Feng et&#xa0;al., 2023</xref>), who showed that spatial tension heterogeneity leads to uneven collagen expression and increases bacterial adhesion at the periphery of micropatterned multicellular islands. Our results extended these observations to interactions with fungal pathogens. This phenomenon may be particularly relevant in the lung, where mechanical heterogeneity arises from alveolar geometry and the forces generated during respiration (<xref ref-type="bibr" rid="B26">Roan and Waters, 2011</xref>). In pathological conditions such as fibrosis or emphysema, where ECM stiffness is altered, these effects may be enhanced, potentially creating regions more susceptible to infection (<xref ref-type="bibr" rid="B5">Colebatch et&#xa0;al., 1973</xref>; <xref ref-type="bibr" rid="B44">Wilson, 1983</xref>).</p>
<p>Our findings also highlighted the influence of ECM composition on conidia internalization and trafficking. By varying coating substrates, distinct effects on conidia processing were observed. When cells were plated on vitronectin (VN), the integrin activation profile shifted from &#x3b1;5&#x3b2;1 (a main integrin for fibronectin (FN)) to &#x3b1;v&#x3b2;3 integrin (<xref ref-type="bibr" rid="B28">Schaufler et&#xa0;al., 2016</xref>). This shift decreased overall conidia binding compared to FN-coating but increased the proportion of conidia internalized into Lamp1<sup>+</sup>Actin<sup>+</sup> vesicles. These results suggested that integrin-mediated signaling pathways play a role in determining the fate of internalized conidia. It aligns with previous studies showing that different integrin receptors, specifically &#x3b1;5&#x3b2;1 and &#x3b1;v&#x3b2;3, influence cytoskeletal dynamics, vesicular trafficking and phagocytosis (<xref ref-type="bibr" rid="B10">Dupuy and Caron, 2008</xref>; <xref ref-type="bibr" rid="B2">Bastounis et&#xa0;al., 2022</xref>). The increased presence of Lamp1<sup>+</sup>Actin<sup>+</sup> vesicles in cells on VN substrate indicated that &#x3b2;3 integrin engagement may favor a trafficking pathway involving dynamic actin rearrangement, potentially facilitating more efficient phagosome maturation. The impact of biological boundary conditions on the <italic>A. fumigatus</italic> conidia- cells interactions is summarized in <xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>.</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>The impact of biological boundary conditions investigated in this study on the interactions of <italic>A. fumigatus</italic> conidia with alveolar cells.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcimb-15-1515779-g004.tif"/>
</fig>
<p>In summary, our study emphasizes the significance of biological boundary conditions in shaping host-pathogen interactions. The heterogeneous internalization observed across different micropattern configurations suggests that some lung regions may be more prone to infection than others, especially during chronic disease states. This highlights the importance of spatially localized mechanical cues in determining the efficiency of conidia uptake and processing, with potential implications for understanding fungal infection establishment in the lung. Future research should aim to dissect the molecular mechanisms linking mechanical forces to pathogen internalization, particularly under varying disease conditions that alter ECM composition and stiffness or respiratory mechanics.</p>
</sec>
</body>
<back>
<sec id="s5" sec-type="data-availability">
<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 id="s6" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>Ethical approval was not required for the studies on humans in accordance with the local legislation and institutional requirements because only commercially available established cell lines were used.</p>
</sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>NS-M: Conceptualization, Funding acquisition, Supervision, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing, Project administration, Resources. JP: Conceptualization, Methodology, Validation, Writing &#x2013; original draft, Project administration, Resources, Writing &#x2013; review &amp; editing. LH: Formal analysis, Methodology, Validation, Visualization, Writing &#x2013; original draft. LL: Formal analysis, Methodology, Visualization, Writing &#x2013; original draft, Funding acquisition. OV: Formal analysis, Writing &#x2013; original draft, Visualization. SP: Writing &#x2013; original draft, Resources.</p>
</sec>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This research was funded by Tirol Wissenschaftsfoerderung TWF to Natalia Schiefermeier-Mach (F.33484) and to Lukas Lechner (F.47867).</p>
</sec>
<sec id="s9" sec-type="COI-statement">
<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 id="s10" sec-type="ai-statement">
<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 id="s11" sec-type="disclaimer">
<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="s12" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fcimb.2025.1515779/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fcimb.2025.1515779/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Image1.tif" id="SF1" mimetype="image/tiff">
<label>Supplementary Figure&#xa0;1</label>
<caption>
<p>Distribution and internalization of <italic>A. fumigatus</italic> conidia in A549 cells constrained on vitronectin-coated micropatterns. <bold>(A)</bold> Conidia spatial distribution map of 50 overlaid micropatterns displaying conidia without Lamp1 (grey spheres), conidia in Lamp1<sup>+</sup> vesicles (green spheres) and conidia in the subpopulation of Lamp1<sup>+</sup>Actin<sup>+</sup> vesicles (green spheres in red circles). <bold>(B)</bold> The radial distribution of conidia defined as the distance between the micropattern center and the center of a single conidia. These distances were grouped into three segments (center, middle and edge of pattern). Depicted are conidia without Lamp1 (grey spheres) and conidia in Lamp1<sup>+</sup> vesicles (green spheres).</p>
</caption>
</supplementary-material>
<supplementary-material xlink:href="Video1.avi" id="SM1" mimetype="video/x-msvideo">
<label>Supplementary Video 1</label>
<caption>
<p>Example of a Z-stack for <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1C</bold>
</xref>. Z-stack with 19 focal planes of phase contrast channel (left) and merged FITC/Dapi fluorescent channels (right), magnification x60, scale bar =10 &#xb5;m, the distance between focal planes =0.3 &#xb5;m.</p>
</caption>
</supplementary-material>
</sec>
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