Abstract The vestibular sensory epithelium of humans and mice may degenerate into a layer of flat cells, known as flat epithelium (FE), after a severe lesion. However, the pathogenesis of vestibular FE remains unclear. To determine whether the epithelial–mesenchymal transition (EMT) participates in the formation of vestibular FE, we used a well-established mouse model in which FE was induced in the utricle by an injection of streptomycin into the inner ear. The mesenchymal and epithelial cell markers and cell proliferation were examined using immunofluorescence staining and quantitative reverse transcription polymerase chain reaction (qRT-PCR). The function of the EMT was assessed through transcriptome microarray analysis. The results demonstrated that mesenchymal cell markers (α-SMA, S100A4, vimentin, and Fn1) were upregulated in vestibular FE compared with the normal utricle. Robust cell proliferation, which was absent in the normal status, was observed in the formation of FE. Microarray analysis identified 1,227 upregulated and 962 downregulated genes in vestibular FE. Gene Ontology (GO) analysis revealed that differentially expressed genes (DEGs) were highly associated with several EMT-related GO terms, such as cell adhesion, cell migration, and extracellular matrix. Pathway enrichment analysis revealed that DEGs were enriched in the EMT-related signaling pathways, including extracellular matrix (ECM)-receptor interaction, focal adhesion, PI3K/Akt signaling pathway and cell adhesion molecule. Protein–protein interaction networks screened 20 hub genes, which were Akt, Casp3, Col1a1, Col1a2, Fn1, Hgf, Igf1,Il1b, Irs1, Itga2, Itga5, Jun, Mapk1, Myc, Nras, Pdgfrb, Tgfb1, Thbs1, Trp53, and Col2a1. Most of these genes are reportedly involved in the EMT process in various tissues. The mRNA expression level of hub genes was validated using qRT-PCR. In conclusion, the present study indicates that EMT plays a significant role in the formation of vestibular FE and provides an overview of transcriptome characteristics in vestibular FE. Keywords: epithelial–mesenchymal transition, vestibular, microarray, cell proliferation, hair cell, supporting cell Introduction Vestibular end organs, including the utricle, saccule, and cristae ampullae, are responsible for the perception of linear acceleration and head rotation. Sensory epithelia of vestibular end-organs consist of two kinds of highly differentiated cells: hair cells (HCs) and supporting cells (SCs). HCs and SCs are alternatively arranged in a special mosaic structure required for normal vestibular function. Various insults to the vestibular sensory epithelium could lead to vestibular dysfunction ([33]McCall et al., 2009; [34]Wang et al., 2015; [35]Brosel et al., 2016; [36]Isgrig et al., 2017; [37]You et al., 2018; [38]Zhang et al., 2020; [39]Fu et al., 2021). Severe lesions damage both vestibular HCs and SCs and induce the sensory epithelium to be replaced by a layer of flat cells, referred to as flat epithelium (FE) ([40]Wang et al., 2017). FE has been found in the inner ear of patients with severe deafness and/or vestibular dysfunction ([41]Nadol and Eddington, 2006; [42]Teufert et al., 2006; [43]McCall et al., 2009), suggesting that FE is an important pathological change in patients with inner ear diseases. However, the pathogenesis of vestibular FE remains unknown, and there is no biological intervention for patients with FE in the inner ear. Elucidation of the molecular mechanism underlying FE formation is significant for designing therapeutic strategies for vestibular dysfunction. The epithelial–mesenchymal transition (EMT) is a biological process (BP) that allows epithelial cells to acquire a mesenchymal cell phenotype, including migratory capacity, invasiveness, resistance to apoptosis, and increased production of extracellular matrix (ECM) components ([44]Kalluri and Weinberg, 2009). The EMT is integral in development and wound healing, and contributes pathologically to fibrosis and cancer progression ([45]Lamouille et al., 2014). In addition, the EMT participates in inner ear development and damage repair ([46]Simonneau et al., 2003; [47]Kobayashi et al., 2008; [48]Johnen et al., 2012; [49]Wu and Kelley, 2012). The EMT is involved in the formation of cochlear FE, which is characterized by a robust proliferative response, upregulation of mesenchymal cell markers, and cell migration ([50]Kim and Raphael, 2007; [51]Ladrech et al., 2017). Because the two components of the inner ear, cochlea and vestibular end-organs, share common embryonic origins and biological features, we hypothesize that the EMT also participates in the process of vestibular FE formation. The EMT is characterized by a change in cell phenotype from epithelial to mesenchymal cells with upregulation of mesenchymal cell markers (vimentin, α-SMA, S100A4, fibronectin, N-cadherin, etc.) and downregulation of epithelial cell markers (E-cadherin, cytokeratin, and ZO-1, etc.). Thus, these factors are usually used as biomarkers to define the involvement of EMT ([52]Kalluri and Weinberg, 2009). Recently, high-throughput screening, such as microarray and RNA-seq technologies, has enabled researchers to identify gene expression profiles in various diseases, rendering exploration of the underlying molecular mechanisms less difficult. The role of the EMT in diseases and the specific genes or signaling pathways involved have been explored using these techniques in the past decades ([53]Puram et al., 2018). However, whether EMT participates in the inner flattening process of vestibular sensory epithelium has not been identified. To determine the role of the EMT in the formation of vestibular FE, a high dose of streptomycin was inoculated into the mouse inner ear to induce FE in the utricle ([54]Wang et al., 2017). Mesenchymal and epithelial cell markers and cell proliferation were assessed in normal utricle and vestibular FE using immunofluorescence staining. Then, the mRNA expression profile was examined using microarray analysis. Bioinformatics analysis was used to further analyze the biological functions of differentially expressed genes (DEGs). Finally, the representative DEGs were validated using quantitative reverse transcription polymerase chain reaction (qRT-PCR). In the present study, the role of EMT in vestibular FE formation was investigated, and the potential mechanisms underlying this process were explored. Results Expression of Mesenchymal and Epithelial Cell Markers in Utricular Flat Epithelium To determine the potential mechanisms underlying FE formation after the loss of nearly all original epithelial cells, the expression of mesenchymal and epithelial cell markers was examined using immunofluorescence staining and qRT-PCR in the normal utricle and utricular FE samples. As shown in [55]Figures 1A–D″, mesenchymal cell markers α-SMA and S100A4 were poorly expressed in normal utricle but highly expressed in FE. In contrast, epithelial cell marker ZO-1 was significantly expressed in the normal samples but weakly expressed in FE ([56]Figures 1E–F″). Furthermore, the mRNA expression levels of mesenchymal cell markers, S100A4, α-SMA, vimentin, and fibronectin 1 (Fn1) were significantly higher in FE than in the normal utricle ([57]Figure 1G). The expression of epithelial cell markers (E-cadherin, ZO-1, keratin 5, and keratin 8) was not significantly different between the normal utricle and FE ([58]Figure 1H). FIGURE 1. [59]FIGURE 1 [60]Open in a new tab Expression of epithelial and mesenchymal cell markers in the normal utricle and flat epithelium (FE). Immunofluorescence staining of α-SMA (A–B″), S100A4 (C–D″), and ZO-1 (E–F″) showing the expression of α-SMA and S100A4 is upregulated and ZO-1 expression is downregulated in FE. High magnification images of square areas in (B,D,F) are shown in (B′–B″,D′–D″,F′–F″), respectively. Scale bars: (A) (applies to B–D,F), 50 μm; (B′) (applies to B″,D′,D″,E,F′, F″), 20 μm. (G) qRT-PCR results revealing that the mRNA expression levels of mesenchymal cell markers (α-SMA, S100A4, vimentin, and Fn1) are significantly increased in FE compared with the normal utricle. (H) mRNA expression levels of epithelial cell markers (E-cadherin, ZO-1, keratin 5, and keratin 8) are not significantly different between FE and normal utricle. *P < 0.05 and ^**P < 0.01 according to Student’s t-test. Robust Mitosis in Adult Mouse Utricle After Severe Damage To evaluate if the utricular sensory epithelium possesses proliferation capacity during FE formation, the normal utricle and FE were stained with EdU to observe mitosis in the cells and with the epithelial cell marker E-cadherin to label the actin cytoskeleton. At 3 days after streptomycin injection, a few EdU-positive cells were observed ([61]Figures 2A–A′). At 7 days after the lesion, the number of EdU-positive cells was increased ([62]Figures 2B–B′). At 11 days after the lesion, most of the original sensory epithelium areas expressed E-cadherin, and EdU-positive cells were extensively distributed throughout the FE, indicating robust cell proliferation in the utricular FE during the early period of FE formation ([63]Figures 2C–C′,E–E″′). At 22 days after the lesion, the epithelial cytoskeleton was completely formed, and the number of EdU-positive cells was dramatically decreased in the epithelial layer ([64]Figures 2D–D′). FIGURE 2. [65]FIGURE 2 [66]Open in a new tab Cell division at different timepoints after severe damage to the utricular sensory epithelium. (A–A′) At 3 days after the lesion, the actin cytoskeleton disappeared in most areas of the epithelial layer, with a few cells labeled by EdU. (B–B′) The number of EdU-positive cells increased at 7 days. (C–C′) Robust proliferation of EdU-positive cells was detected in flat epithelium (FE) at 11 days. (D–D′) EdU-positive cells were not observed in the epithelial layer at 22 days. (E–E″′) High-magnification view of the square area in (C) showing EdU labeling of the nuclei of FE cells. Scale bars: (A) (applies to A′–D′), 50 μm; (E) (applies to E′–E″′), 20 μm. (F) qRT-PCR results revealing that the mRNA expression levels of the cell proliferation marker Ki-67 were significantly increased in FE compared with the normal utricle, and the p27^kip1 expression level was decreased at 14 days after damage. *P < 0.05 and ^***P < 0.001 according to Student’s t-test. The expression levels of proliferation markers Ki-67 and MCM2 ([67]Chow et al., 2016; [68]Yousef et al., 2017), as well as the cell cycle inhibitor p27^kip1 ([69]Kim and Raphael, 2007), were evaluated and compared between the normal utricle and the utricular FE at 14 days after streptomycin injection. As shown in [70]Figure 2F, the mRNA level of Ki-67 was significantly increased and that of p27^kip1 decreased in FE compared with the control groups ([71]Figure 2F). Microarray Analysis To further determine the characteristics of FE transcriptomes and how the EMT is involved in the repair process of utricular sensory epithelium after severe damage, microarray analysis was performed using the Affymetrix mouse Clariom S array to analyze the transcriptomic differences between the normal utricle and FE. A total of 22,206 genes were extracted from each sample. When comparing transcripts between the normal utricle and FE, 2,189 transcripts differentially expressed (fold change > 2, P < 0.05) in FE were identified. [72]Figures 3A,B show a volcano plot and hierarchical cluster analysis of the DEGs between the two groups; 1,227 upregulated and 962 downregulated genes were detected in FE samples, and heatmap analysis showed distinct differences in the mRNA expression profiles of the normal utricle and FE. FIGURE 3. [73]FIGURE 3 [74]Open in a new tab Microarray analysis of the normal utricle and flat epithelium (FE). (A) Volcano plot representing the whole transcriptome changes in FE compared with the normal utricle. (B) Hierarchical clustering showing the differentially expressed genes (DEGs). Each group has five replicates. Yellow represents the upregulated genes and blue represents the downregulated genes. (C) Top 100 upregulated genes in FE compared with the normal utricle. (D) Top 100 downregulated genes in FE compared with the normal utricle. The horizontal axis represents the expression value. The # symbol indicates genes associated with epithelial–mesenchymal transition (EMT). To characterize the genes most significantly differentially expressed between FE and normal utricle, the top 100 upregulated and downregulated genes were selected and are listed in [75]Figures 3C,D. Among the DEGs, those previously reported to be associated with EMT were labeled with the # symbol; Ibsp, Fn1, Gdf10, Lcn2, Loxl2, Htra1, C3, Lox, Postn, Aspn, Ncf4, Bmp5, Slpi, Anxa3, Mir675, Nkd2, Cd36, Timp1, Sulf2, Acp5, Csf1r, and Tgfb1 were upregulated in FE, whereas Bdnf and Wdr66 were downregulated in FE. Gene Ontology Analysis Gene Ontology (GO) enrichment analysis was performed based on the DEGs. Among the upregulated genes, 616 significant BP, 121 cellular component (CC), and 153 molecular function (MF) GO categories were detected (P < 0.01; [76]Supplementary Table 1). According to the BP category results, the DEGs were significantly associated with cell adhesion and migration. In the CC category, DEGs were mainly associated with extracellular components. Among the downregulated genes, 129 significant BP, 59 CC, and 36 MF categories were detected (P < 0.01; [77]Supplementary Table 2). In the BP category, DEGs were mostly associated with inner ear development and function. In the CC category, DEGs were associated with membrane, cilium, and synapse. The top 20 upregulated and the top 20 downregulated GO terms are shown in [78]Figure 4. Among these GO terms, 34 were associated with EMT. FIGURE 4. [79]FIGURE 4 [80]Open in a new tab Gene Ontology (GO) enrichment analysis of differentially expressed genes (DEGs) between the normal utricle and flat epithelium (FE). (A) Top 20 upregulated GO terms associated with the biological process (BP; red), cellular component (CC; yellow), and molecular function (MF; blue). (B) Top 20 downregulated GO terms. The # symbol indicates GO terms associated with the epithelial–mesenchymal transition (EMT). Pathway Enrichment Analysis and Pathway Interaction Network Analysis Pathway enrichment analysis was performed based on the KEGG (Kyoto Encyclopedia of Genes and Genomes) database. Based on the upregulated and downregulated genes, 98 and 34 signaling pathways were detected, respectively (P < 0.05; [81]Supplementary Tables 3, [82]4). Among the top 40 significantly enriched signaling pathways ([83]Figures 5A,B), 4 were associated with the EMT, including ECM–receptor interaction (mmu04512) ([84]Gonzalez and Medici, 2014), focal adhesion (mmu04510) ([85]Ji et al., 2019), PI3K/Akt signaling pathway (mmu04151) ([86]Xu et al., 2015), and cell adhesion molecules (mmu04514) ([87]Keller et al., 2019). FIGURE 5. [88]FIGURE 5 [89]Open in a new tab Pathway enrichment analysis and pathway interaction network analysis. (A,B) Pathway enrichment analysis showing the top 20 upregulated and top 20 downregulated signaling pathways. The # symbol indicates pathways associated with the epithelial–mesenchymal transition (EMT). (C) Pathway interaction network analysis. Nodes represent pathways, and the arrows represent an interaction target between pathways. Next, pathway interaction network analysis was performed to generate an interaction network encompassing 44 significantly altered pathways; each pathway in the network was measured by counting the upstream and downstream pathways ([90]Supplementary Table 5). A group of EMT-related signaling pathways was found to be closely associated with other pathways, including the MAPK signaling pathway (degree = 54), PI3K/Akt signaling pathway (degree = 41), TGF-β signaling pathway (degree = 17), NF-κB signaling pathway (degree = 16), regulation of actin cytoskeleton (degree = 16), and focal adhesion (degree = 16) ([91]Figure 5C). Construction of the Protein–Protein Interaction Network and Screening of Hub Genes The Search Tool for the Retrieval of Interacting Genes (STRING) database was used to construct a protein–protein interaction (PPI) network of selected genes. Genes involved in EMT-related signaling pathways ([92]Figure 5) were selected to build a network using Cytoscape (v3.7.2). All the nodes and edges were mapped in the PPI network, as shown in [93]Figure 6A. To screen hub genes from the entire PPI network, the Cytoscape plugin cytoHubba was used. A total of 20 hub genes were screened using the maximum neighborhood component (MNC) algorithm: Akt, Casp3, Col1a1, Col1a2, Fn1, Hgf, Igf1, Il1b, Irs1, Itga2, Itga5, Jun, Mapk1, Myc, Nras, Pdgfrb, Tgfb1, Thbs1, Trp53, and Col2a1 ([94]Figure 6B). Among those genes, 19 have been shown to participate in the EMT process in other tissues; however, an association of Col2a1 with EMT has not been reported ([95]Table 1). FIGURE 6. [96]FIGURE 6 [97]Open in a new tab Visualization of the protein–protein interaction (PPI) network and the candidate genes. (A) Entire PPI network. The edges indicate the PPIs in the Search Tool for the Retrieval of Interacting Genes (STRING) database. (B) Identification of the candidate genes from the entire PPI network using the maximum neighborhood component (MNC) algorithm. Edges represent the protein–protein associations. The orange nodes represent the genes that have been reported to be associated with the epithelial–mesenchymal transition (EMT), and gray nodes represent genes that have not been reported previously. TABLE 1. mRNAs involved in epithelial–mesenchymal transition (EMT) and their associated diseases or potential mechanisms. Gene symbol Description (disease/mechanisms) References