Abstract
During alveolar repair, alveolar type 2 (AT2) epithelial cell progenitors rapidly proliferate and differentiate into flat AT1 epithelial cells. Failure of normal alveolar repair mechanisms can lead to loss of alveolar structure (emphysema) or development of fibrosis, depending on the type and severity of injury. To test if β1-containing integrins are required during repair following acute injury, we administered E. coli lipopolysaccharide (LPS) by intratracheal injection to mice with a postdevelopmental deletion of β1 integrin in AT2 cells. While control mice recovered from LPS injury without structural abnormalities, β1-deficient mice had more severe inflammation and developed emphysema. In addition, recovering alveoli were repopulated with an abundance of rounded epithelial cells coexpressing AT2 epithelial, AT1 epithelial, and mixed intermediate cell state markers, with few mature type 1 cells. AT2 cells deficient in β1 showed persistently increased proliferation after injury, which was blocked by inhibiting NF-κB activation in these cells. Lineage tracing experiments revealed that β1-deficient AT2 cells failed to differentiate into mature AT1 epithelial cells. Together, these findings demonstrate that functional alveolar repair after injury with terminal alveolar epithelial differentiation requires β1-containing integrins.
Keywords: Cell Biology, Pulmonology
Keywords: Integrins, Respiration
Introduction
During lung development, primordial epithelial cells proliferate, migrate, and change phenotypic identity with precise timing, anchored by signals from the basement membrane (BM), a specialized extracellular matrix (ECM) structure, which is precisely remodeled at specific developmental checkpoints (1). Once lung development is complete, targeted replacement of epithelial cells and slow turnover of the alveolar BM protect the alveolar structure during homeostasis in the mature lung. However, epithelial cells lose capacity for efficient proliferation and differentiation as the BM ages (2), increasing susceptibility to chronic lung diseases over time. In contrast to temporally precise development and the relatively quiescent adult lung, repair of acute lung injury must occur rapidly to restore a gas-exchanging epithelium to maintain survival. The immediacy of repair results in epithelial proliferation and differentiation that occurs in bulk. For a wild-type mouse, the mild lung injury induced by a single dose of intratracheal lipopolysaccharide (LPS) is easily recoverable in days, overcoming inflammation-derived proteolytic damage to the BM that occurs within hours (3, 4). LPS, as a model of acute inflammatory lung injury, tests the regenerative potential of the alveolus, exposing impairments in epithelium-ECM interactions that could exacerbate lung injury or predispose to accelerated aging.
Integrins are heterodimeric transmembrane protein receptors composed of an α and β subunit that bind ECM ligands. Integrins provide physical connections between cells and the ECM, and they propagate signaling to and from the surrounding matrix (5–7). Of the 24 integrin heterodimers, 12 contain the β1 subunit, and many of the 12 β1-containing integrins are present in epithelial tissues. Integrin function is dependent upon developmental and microenvironmental context, a concept consistent with our previous work. We previously reported that epithelial β1 integrins are required for normal lung development, and in their absence airway branching and alveolarization are impaired and associated with incomplete epithelial differentiation in the later stages of lung development (8). However, in the homeostatic postdevelopmental adult alveolus, β1 integrins are completely dispensable for alveolar epithelial differentiation (9). Function of the alveolar stem cell niche during repair depends on the rapid proliferation of distal epithelial progenitors, followed by en masse differentiation. The degree of differentiation in this context is profound, and any inefficiencies in this process will create structural vulnerability and abnormal repair. Whether or not β1-containing integrins are required for the epithelial repair cycle in the acutely injured adult alveolus is unknown.
The adult alveolar BM is primarily composed of collagen IV and laminin and facilitates gas exchange between the airspace and the capillary network. The vast majority of the BM is covered with very thin and outspread type 1 alveolar epithelial cells (AT1 cells), interspersed with single cuboidal type 2 alveolar epithelial cells (AT2 cells). Each cell type has essential functions: AT2 cells secrete surfactant to reduce alveolar surface tension and function in an immunoregulatory role, while the thin AT1 cells allow gas exchange, maintain water homeostasis, and produce BM components (10). Following alveolar injury in both human lung disease and murine models, multiple types of epithelial progenitors restore epithelial coverage of the BM (11, 12). The most proximate and immediate epithelial progenitors for alveolar repair are AT2 cells themselves, a subset of which proliferate upon alveolar injury (13–15). Overproliferation of AT2 cells is restrained by various proteins, including the tight junction protein claudin-18 (16). After proliferation, the AT2 progenitors attain an AT2-to-AT1 transitional cell state with characteristic expression of genes such as Krt8, Hbegf, or Areg (11, 17, 18), on their way to becoming replacement AT1 cells. Less is understood about the molecular mechanisms that govern the final point of transition in alveolar repair, the acquisition of the AT1 transcriptional phenotype, and the full extension of the AT1 outspread cell shape.
Here, we compared distal lung epithelium restoration after acute lung injury induced by intratracheal LPS administration in normal adult mice with those carrying a β1 integrin inactivation targeted to surfactant protein C–expressing (SP-C–expressing) AT2 cells. From this modest acute lung injury, β1-deficient mice exhibited increased inflammation and had exacerbated lung injury, followed by emphysema. Impaired alveolar repair mechanisms in injured β1-deficient mice resulted in excessive AT2 proliferation, progressive accumulation of AT2/AT1 intermediate cells, and large-scale failure of AT1 differentiation. In these studies, the degree of cell shape block in β1-deficient mice demonstrated that AT2-to-AT1 differentiation is tightly integrated with cell shape change. Further, we showed that epithelial differentiation during repair bears a particular requirement for β1 integrin–mediated cell-ECM interactions, more than AT2-to-AT1 differentiation in other contexts. Unlike the assumption that AT2-to-AT1 epithelial differentiation processes employ similar basic mechanistic pathways no matter the context, our data suggest a different paradigm for adult injury repair wherein the rapidity with which differentiation occurs and/or the condition of the ECM leads to distinct differentiation mechanisms.
Results
Deletion of β1 integrin in AT2 cells increases susceptibility to injury and abnormal repair.
To determine the role of epithelial β1 integrin in alveolar repair after injury, we generated mice with a β1 integrin deletion in AT2 cells in the adult lung utilizing the SP-C rtTA TetO-Cre doxycycline-inducible system (9, 19) and floxed β1 integrin (β1fl/fl), hereafter referred to as β1AT2-KO mice. We previously reported the efficient deletion of β1 integrin in AT2 cells (then termed β1rtTA mice). These mice exhibited grossly normal airspace size at 3 months of age but also increased epithelial inflammation and tight junction defects paired with modest intraseptal edema (9). We confirmed sustained β1 integrin expression in β1fl/fl littermate control mice and normal histology in SP-C rtTA TetO-Cre β1fl/fl mice not receiving doxycycline at 3 months of age (9, 19). While doxycycline toxicity has been reported with embryonic administration (20), we observed no overt histologic or biological toxicity from the rtTA system or from doxycycline itself in this postdevelopmental model (9). After 1 month off doxycycline to minimize side effects from possible doxycycline tissue storage, we challenged β1AT2-KO and littermate β1fl/fl controls with a single intratracheal (IT) dose of LPS at 3 months of age (Figure 1A). β1AT2-KO mice exhibited decreased survival compared with β1fl/fl control mice (44% survival at 21 days for β1AT2-KO versus 93% for β1fl/fl, n = 15 β1AT2-KO and 14 β1fl/fl mice, P = 0.0051, Supplemental Figure 1A; supplemental material available online with this article; https://doi.org/10.1172/jci.insight.167211DS1), with 100% survival for both PBS-treated β1AT2-KO and β1fl/fl mice (data not shown). Three days postinjury, histological examination revealed an expected increase in inflammatory cells in both LPS-treated β1AT2-KO and control β1fl/fl lungs and markedly increased edema in β1AT2-KO lungs. Whereas LPS-treated β1fl/fl lungs returned to a normal histological appearance by day 7, edema and inflammation remained prominent in β1AT2-KO lungs, consistent with an exacerbation of acute lung injury. Failed alveolar repair was evident at 21 days in β1AT2-KO mice, whose lungs exhibited a marked increase in airspace size and septal destruction. Emphysema was quantified by increased mean linear intercept (28.5 ± 0.9 μm in β1fl/fl lungs vs. 40.2 ± 2.8 μm in β1AT2-KO lungs) (Figure 1B). To evaluate alveolar barrier function, we measured bronchoalveolar lavage (BAL) fluid protein levels at all time points (Figure 1C). β1AT2-KO BAL fluid contained increased protein in the unchallenged state, as well as at 3 and 7 days post-LPS compared with control β1fl/fl BAL fluid. By 21 days postinjury, protein levels were similar in both mouse strains, indicating restoration of alveolar barrier function in β1AT2-KO lungs.
We collected BAL fluid to characterize the inflammatory response to LPS and found no significant differences in immune/inflammatory cells between β1AT2-KO and β1fl/fl lungs at 3 days, during the expected peak of inflammation following LPS (21) (Figure 1D). However, in β1AT2-KO mice, there was a delayed inflammatory peak at 7 days postinjury characterized by persistently increased neutrophils in BAL fluid from β1AT2-KO lungs (Supplemental Figure 1B). Although the BAL cell count decreased toward baseline at 21 days in β1AT2-KO lungs, increased numbers of macrophages remained. These findings were verified by quantification of immunostaining for the macrophage marker CD68 (Supplemental Figure 1, C and D). Since chronic inflammation predisposes to emphysema, we tested if the exaggerated acute inflammatory response contributed to airspace expansion in LPS-treated β1AT2-KO lungs. We delayed doxycycline administration for 5 days after IT LPS dosing, thereby inducing β1 integrin deletion after acute inflammation. Lungs were harvested 21 days after LPS treatment (and 16 days after the initiation of doxycycline). On histological examination, β1AT2-KO lungs retained emphysematous structural deficits, quantified by an increased mean linear intercept (Supplemental Figure 1, E and F).
We next investigated whether LPS-treated β1AT2-KO mice exhibited fibrosis, an additional manifestation of abnormal alveolar repair apart from emphysema. By Masson’s trichrome staining, β1AT2-KO and β1fl/fl lungs did not exhibit gross differences in fibrillar collagen deposition (Supplemental Figure 2A). The alveolar BM also appeared similarly composed between genotypes, with comparable pan-laminin localization in the alveolar septum 21 days after LPS treatment (Supplemental Figure 2B). As loss of 1 integrin may result in the upregulation of alternative integrin subunits, we examined LPS-treated β1AT2-KO and β1fl/fl lungs for differences in Arg-Gly-Asp–binding (RGD-binding) integrins. In this subgroup of integrins, heterodimers composed of varied β subunits bind ECM proteins containing the highly conserved RGD motif (22). We first verified continued absence of β1 at 21 days after LPS in β1AT2-KO AT2 cells. Integrin α5, which partners only with β1 to form a fibronectin receptor, was also decreased throughout injured β1AT2-KO lungs compared with β1fl/fl lungs (Supplemental Figure 3A). In contrast to α5β1, the αv RGD-binding integrins were increased (Supplemental Figure 3, B–E), particularly the β5 and β8 subunits, suggesting compensation by αvβ5 and αvβ8 without overt fibrosis in the injured β1AT2-KO lung. Taken together, these findings indicate that loss of β1-containing epithelial integrins drives increased LPS-induced inflammation and lung injury, followed by emphysema and abnormal alveolar repair.
AT2 cells deficient in β1 increase in number post-LPS injury.
To determine how β1 deficiency in AT2 cells alters alveolar repair, we performed an in-depth histological and transcriptomic examination of alveolar epithelial cells in β1AT2-KO and β1fl/fl lungs. Lung sections immunostained for the AT2 marker pro–SP-C and AT1 marker T1α demonstrated accumulation of pro–SP-C+ AT2 cells in β1AT2-KO lungs by day 7 following LPS injury (Supplemental Figure 4). By day 21, β1AT2-KO lungs contained increased numbers of pro–SP-C+ AT2 cells throughout the lung parenchyma (Figure 2, A–C). Moreover, severely injured areas exhibited alveolar septa lined by abundant pro–SP-C+ AT2 cells. The increase in AT2 cell number was accompanied by decreased expression of the AT1 markers T1α and HOP homeobox (Hopx) in β1AT2-KO lungs (Figure 2D), suggesting loss of AT1 cells and large expansion of the AT2 population. We captured the increased imbalance between AT2 and AT1 cells in β1AT2-KO lungs throughout repair by calculating the number of pro–SP-C+ cells as a percentage of total cells (Figure 3A). Whereas the percentage of AT2 cells remained stable from day 3 into late repair in the β1fl/fl lungs, the percentage of pro–SP-C+ AT2 cells progressively increased throughout later repair in β1AT2-KO lungs. The increased AT2 number in β1AT2-KO lungs prompted an examination of proliferation and apoptosis. We assessed AT2 proliferation by co-immunostaining lung sections for the proliferation marker Ki-67 and pro–SP-C. β1AT2-KO lungs exhibited increased proliferation in pro–SP-C+ AT2 cells at all sampled time points from uninjured lungs to day 21 postinjury (Figure 3B), with peak proliferation at day 7 (representative images shown in Figure 3C). We previously reported that β1-deficient AT2 cells exhibited increased NF-κB inflammatory signaling in the absence of injury (9). As NF-κB activation promotes cell survival and mitosis (23), we next tested whether the observed excess AT2 proliferation was due in part to upregulated NF-κB activation in β1-deficient AT2 cells. We measured AT2 proliferation in LPS-treated precision-cut lung slices (PCLS) generated from β1AT2-KO and β1fl/fl lungs in the presence/absence of the NF-κB inhibitor BAY 11-7082. Proliferation was detected after 48 hours of treatment using incorporated BrdU, colocalized with pro–SP-C in immunostained PCLS. We verified induction of NF-κB activation with LPS ex vivo in PCLS by immunostaining for nuclear phosphorylated p65, signaling mediator in NF-κB activation (Supplemental Figure 5A). Consistent with in vivo LPS dosing, β1AT2-KO PCLS exhibited increased AT2 proliferation with LPS treatment (Figure 4, A and B, individual values presented in Supplemental Figure 5B), which was mitigated by concurrent NF-κB inhibition. For β1fl/fl PCLS, AT2 proliferation rates remained similar in all 4 conditions. These data suggest that increased AT2 proliferation in β1AT2-KO lungs postinjury is in part due to excess NF-κB activation intrinsic to β1-null AT2 cells.
Analyzing cell survival by TUNEL assay co-immunostained with pro–SP-C, we identified a small but significant increase in the total number of apoptotic AT2 cells per field in β1AT2-KO lungs on day 21 after LPS (Supplemental Figure 6, A–C). Although we were not able to capture large-scale AT2 apoptosis by TUNEL assay at these time points, early AT2 apoptosis remains a possibility. Further, the near absence of AT1 cells 7 days after injury strongly argues that AT1 cell death occurred early during acute LPS-induced injury.
Overabundant AT2 cells are transcriptionally distinct during repair in β1AT2-KO mice.
To investigate the transcriptional phenotype of β1-deficient epithelial cells that could explain the development of emphysema and other features of abnormal repair in β1AT2-KO mice, we performed single-cell RNA sequencing (scRNA-Seq) on unchallenged and LPS-treated β1fl/fl and β1AT2-KO lungs, 7 days after LPS exposure. From single-cell suspensions from digested whole lung (n = 3–4 mice/group pooled into a single sample for each condition), we collected CD45–Ter119– viable cells by fluorescence-activated cell sorting (FACS), thereby excluding immune and red blood cells. We performed scRNA-Seq using the 10x Genomics platform, and doublet removal, normalization, and scaling led to 2,926 cells being analyzed. Initially, we integrated our data set with a recently published scRNA-Seq data from LPS injury (12), and we found similar alveolar epithelial cell types in both data sets (Supplemental Figure 7). To further define our epithelial populations throughout alveolar repair, we analyzed our transcripts utilizing the epithelial markers reported by Strunz et al. with a label transfer technique (11). In both LPS-treated and uninjured mice, we identified all major alveolar epithelial populations in both β1AT2-KO and β1fl/fl lungs (Figure 5A). Despite differential AT1 cell number difference in injured β1AT2-KO lungs by histology, AT1 cells were isolated in low abundance in all 4 groups, uninjured and LPS-treated β1AT2-KO and β1fl/fl lungs, likely due to cell loss by FACS because of their relatively fragile structure (24). UMAP embedding identified a distinct epithelial population in β1AT2-KO lungs 7 days after injury (Figure 5B). Visualizing the UMAPs of the 4 individual groups, most of the epithelial cells were classified as AT2 cells or activated AT2 cells, a cell state marked by inflammation-induced genes. In LPS-treated β1AT2-KO lungs, the mixed AT2 and activated AT2 cells were transcriptionally distinct from the other 3 groups. Because this defined β1AT2-KO cluster comprised both AT2 and activated AT2 cells, we combined these populations for further analysis in all 4 groups. We examined the top differentially expressed genes in the combined AT2 groups between uninjured and LPS-treated β1AT2-KO or β1fl/fl mice (Figure 5, C and D, and Supplemental Figure 8, A and B). In uninjured mice, the most enriched pathways were an upregulation of the oxidative stress response pathway in the β1AT2-KO AT2 group, followed by senescence, JAK/STAT signaling, and IL-6 signaling pathways. All 4 of these top pathways are relevant to emphysema and lung senescence (25, 26), suggesting baseline conditions that favor accelerated aging in these 3-month-old mice. In LPS-injured lungs from both genotypes, the top 8 differentially upregulated pathways included regulatory signaling networks related to adherens junctions, actin cytoskeleton, and Rho GTPases. As remodeling of adherens junctions is necessary for elongation of cell shape and Rho GTPases are intermediary signaling effectors between integrins and the actin cytoskeleton, these data suggest that β1 integrin regulates the transition in cell shape during AT1 cell differentiation.
During alveolar repair, β1 integrin regulates actin expression and RhoA GTPase activation.
To investigate how β1 integrin regulates the actin cytoskeleton during alveolar repair, we examined AT2 cell shape by confocal microscopy. Surface rendering of pro–SP-C+ AT2 cells demonstrated a field of globular AT2 cells in β1AT2-KO lungs, whereas β1fl/fl pro–SP-C+ AT2 cells exhibited a flattened, elongated cell shape (Figure 6A). We next imaged 50 μm cryosections detecting F-actin with phalloidin probe concurrent with pro–SP-C immunodetection. The injured β1fl/fl pro–SP-C+ AT2 cells formed actin-based protrusions at the areas of their lateral extensions (arrows in Figure 6B), a feature shared with differentiating AT2 (to AT1) epithelial progenitors during development (27). By contrast, AT2 cells in injured β1AT2-KO lungs were larger and rounded with cortical F-actin. We quantified AT2 cell shape at 7 days postinjury by calculating cell area and a cell roundness score. Given the persistent macrophage inflammation during repair in LPS-treated β1AT2-KO lungs, we specifically excluded the occasional macrophage that has efferocytosed an injured pro–SP-C+ cell from this analysis by calculating the day 7 cell shape metrics on pro–SP-C+CD68– cells only (Supplemental Figure 9A). AT2 cells were significantly larger in injured β1AT2-KO lungs (66.8 ± 3.0 μm2) compared with β1fl/fl lungs (48.4 ± 1.8 μm2) (Figure 6C). Since lateral extension is necessary for cells to transition from AT2 to AT1 and we demonstrated that cell shape is β1 dependent in AT2 cells, we calculated a roundness score, which quantifies the degree of smooth cellular contours in an unbiased manner (28). The roundness score in β1AT2-KO AT2 cells on day 7 after injury, as they failed to elongate and change shape into flattened AT1 cells, was significantly increased compared with β1fl/fl AT2 cells (Figure 6D). AT2 cells from LPS-treated β1AT2-KO lungs maintained an elevated roundness score throughout repair, based on pro–SP-C+ cells (Supplemental Figure 9B). This finding is consistent with an inability to form lateral extensions and impaired actin remodeling. By contrast, β1fl/fl AT2 cell roundness decreased at times of rapid differentiation during repair, indicative of differentiation into a flattened AT1 cell shape. Since our scRNA-Seq data suggested upregulation of actin/cytoskeleton signaling pathways, we next applied a G-actin probe, JLA20, along with F-actin phalloidin and pro–SP-C to study actin remodeling (Figure 6E). We found increased G-actin and F-actin in injured β1AT2-KO lungs, with F-actin primarily cortically localized in the β1AT2-KO lungs. We verified these increases by calculating the relative fluorescence of the JLA20 and phalloidin probes in pro–SP-C+ cells using corrected total cell fluorescence to normalize fluorescence to total cell area (Figure 6, F and G). Because actin remodeling and localization are mediated in part by the cytoskeletal protein ezrin, we immunodetected ezrin in β1AT2-KO and β1fl/fl lungs on day 7 postinjury combined with Sftpc RNA in situ hybridization to mark AT2 cells. Ezrin was as expected localized to points of lateral cellular protrusion in elongating AT2 cells in control mice (Figure 6H) while being much more widespread along the cell membrane in AT2 cells in β1AT2-KO lungs, suggesting an impaired ability to direct actin localization in concert with loss of lateral elongation. We validated the linkage to small GTPases (29) suggested by scRNA-Seq analysis above using protein assays for specific GTPases. AT2 cells from LPS-injured β1AT2-KO lungs exhibited increased RhoA and Cdc42 GTPase activation, as would be anticipated for a cell undergoing efficient actin remodeling (Figure 7, A and B). By contrast, GTPase activation was decreased for Rac1 (Figure 7C), a related GTPase involved in forming smaller actin-based structures such as microvilli. Taken together, these data indicate RhoA and Cdc42 GTPase activation in AT2 cells is enhanced in β1 integrin–deficient AT2 cells, as would be expected for a cell with active actin remodeling. However, evidence of actin remodeling at the site of lateral extension is absent, suggesting a block downstream of GTPase signaling events propagated by the β1 intracellular tail in β1AT2-KO lungs. Thus, β1 integrin is a critical component for proper actin production and localization in differentiating AT2 cells during repair.
Postinjury β1-deficient AT2 cells exhibit an AT2-AT1 mixed transcriptomic phenotype.
Our observation of increased AT2 cells and decreased AT1 cells suggested impairment in AT2-to-AT1 differentiation during alveolar repair. To define this defect at the transcriptional level, we quantified lung epithelial cell subtypes as previously defined by Strunz et al. (11). Consistent with our histology of the LPS-injured mice, there was a significant increase in the representation of AT2 and activated AT2 cells in day 7 post–LPS injury β1AT2-KO lungs but not control β1fl/fl (Figure 8A). We next compared the AT2, AT1, and cytokeratin 8+ “intermediate cell” transcriptomic profiles in our uninjured and LPS-treated β1AT2-KO and β1fl/fl lungs. Strunz et al. (11) defined an intermediate cell state with features of both AT2 and AT1 cells as a “Krt8-positive alveolar differentiation intermediate (ADI).” Both uninjured and LPS-treated β1AT2-KO and β1fl/fl AT2/activated-AT2 cells expressed AT2 hallmark genes (e.g., Sftpc, Sftpa1, and Abca3), as expected (Figure 8B). The Krt8+ ADI hallmark genes Krt8, Hbegf, and Areg were moderately increased in uninjured β1AT2-KO AT2 cells, and this increase was accentuated after LPS. By contrast, there was minimal expression of these markers in uninjured or LPS-treated β1fl/fl AT2 cells. Finally, uninjured β1AT2-KO AT2/activated AT2 cells exhibited enhanced AT1 cell marker expression compared with uninjured β1fl/fl AT2 cells, which was also accentuated post-LPS. We validated increased AT1 marker expression in injured β1-deficient pro–SP-C+ AT2 cells by co-immunostaining for advanced glycosylation end product-specific receptor (AGER), the AT1 marker with the highest expression by our transcriptional analysis. In injured β1fl/fl lungs, AGER localized to the typical AT1 distribution throughout the lung parenchyma, largely distinct from pro–SP-C+ AT2 cells (Figure 8C, insets 1–3). By contrast, injured β1AT2-KO lungs exhibited notably less AGER throughout the lung parenchyma compared with β1fl/fl lungs. Importantly, the small amount of AGER present in β1AT2-KO lungs colocalized with large, rounded pro–SP-C+ AT2 cells (Figure 8C, insets 4–6, single-channel images in Supplemental Figure 10). The robust acquisition of AT1 markers in injured, rounded, large β1AT2-KO AT2 cells suggests that requisite β1 integrin–dependent mechanisms, such as cell shape change, occur subsequent to initial AT1 marker acquisition. In summary, the absence of β1 increases the proportional representation of intermediate cell state markers, even in cells that remain classified as AT2 cells, indicating a significant block in the progression of differentiation.
Mixed-phenotype AT2 cells persist, proliferate, and maintain an enlarged, rounded cell shape in late alveolar repair.
Since our histological and scRNA-Seq analysis showed impaired AT2 differentiation at day 7 post-LPS, we characterized the blockage in differentiation in late repair. As described above, we performed scRNA-Seq on uninjured and LPS-treated β1fl/fl and β1AT2-KO lungs, 21 days post-LPS. Knowing that alveolar epithelial cells of mixed transcriptomic phenotype exist at day 7 post-LPS in β1AT2-KO lungs, we investigated persistence of these cells at day 21 post-LPS by RNA-Seq of CD45–Ter119– single-cell suspensions enriched for CD326+ epithelial cells. UMAP embedding with label transfer from Strunz et al. (11) revealed similarities between β1fl/fl and β1AT2-KO alveolar cells (Figure 9, A and B). By pro–SP-C/Ki-67 co-immunostaining, we demonstrated increased AT2 proliferation even during late repair. Our scRNA-Seq data verified that the AT2 population from day 21 LPS-treated β1AT2-KO lungs exhibited a significantly increased G2M proliferation score compared with AT2 cells from day 21 LPS-treated β1fl/fl lungs (Supplemental Figure 11A). We next analyzed the expression of AT2, Krt8+ ADI, and AT1 hallmark genes in day 21 LPS-treated β1AT2-KO and β1fl/fl alveolar epithelial cells. We identified enhanced AT2 markers, Sftpc, Sftpa1, and Abca3, in AT2 and activated AT2 cell populations from β1AT2-KO mice compared with β1fl/fl mice (Figure 9C). In addition, β1AT2-KO Krt8+ ADI cells retained AT2 hallmark gene expression compared with β1fl/fl Krt8+ ADI cells, exhibited markedly enhanced expression of the 3 intermediate state markers (Krt8, Hbegf, and Areg), and showed increased expression of AT1 hallmark genes, Aqp5 and Ager. These β1AT2-KO Krt8+ ADI cells simultaneously expressed transcriptional markers from all 3 stages of transition, providing a transcriptional rationale for failed repair in β1-deficient mice. We validated the persistent mixed transcriptional phenotype in β1AT2-KO lungs by immunodetection. In day 21 LPS-treated β1AT2-KO lungs, remodeled areas exhibited numerous large, rounded pro–SP-C+cytokeratin 8+ cells with less AGER in the AT1 distribution compared with injured β1fl/fl lungs (Figure 9D). High-power images demonstrated pro–SP-C+cytokeratin 8+ cells with occasional cells also positive for the AT1 marker AGER (arrows in Figure 9E). By contrast, triple-positive cells (pro–SP-C+cytokeratin 8+AGER+) were rare in injured β1fl/fl lungs. The number of triple-positive cells was quantified as a percentage of total pro–SP-C+ cells (Figure 9F). Given the disparate cellular morphology of β1-deficient AT2 cells at earlier time points, we quantified differences in cell area in pro–SP-C+ AT2 cells. At 21 days after LPS, injured AT2 cells from β1AT2-KO lungs remained enlarged with a significantly increased cell area (Supplemental Figure 11B). These findings demonstrate that β1-mediated ECM interactions are essential during alveolar repair for the maintenance of alveolar structure, epithelial cell shape change, and progression of their transcriptomic phenotype.
AT2 cells deficient in β1 fail to repopulate the alveolus with AT1 morphology.
To prove that AT2 cells from β1AT2-KO mice cannot repopulate the alveolus after injury, we crossed β1AT2-KO mice with the mTmG Cre-recombinase reporter, labeling Cre-recombinase active AT2 cells beginning at P28. Mice were then maintained on doxycycline for a month and treated with LPS at 3 months of age. We verified the presence of GFP-labeled AT2 cells prior to injury in β1AT2-KO mTmG and Cre+ mTmG mice (Supplemental Figure 12A). As anticipated, histological examination of lungs harvested 21 days after LPS demonstrated GFP+ cells in both AT2 and AT1 distributions in all the control Cre+ mTmG mice (Figure 10A), indicating patches of AT2-to-AT1 alveolar repopulation postinjury. By contrast, GFP-labeled cells in β1AT2-KO mTmG lungs retained almost exclusively a rounded AT2 morphology, with only rare acquisition of an elongated AT1 cell shape. We quantified the degree to which GFP-labeled AT2 cells repopulated injured β1AT2-KO mTmG and Cre+ mTmG lungs by fluorescence intensity per low-power field section (Figure 10B and Supplemental Figure 12B). Immunostained sections for pro–SP-C and AGER verified the rounded GFP+ cells in β1AT2-KO mTmG lungs were pro–SP-C+, and although rounded GFP+ cells were also frequently AGER+ (Figure 10C), very few thin GFP+AGER+pro–SP-C+ cells were observed in β1AT2-KO mTmG. In Cre+ mTmG lungs, GFP labeling colocalized with AGER+ thin AT1 cells, verifying successful AT2-to-AT1 differentiation in control mice. These data demonstrate failed AT2-to-AT1 differentiation associated with impaired cell shape change and incomplete phenotypic epithelial marker differentiation in the absence of epithelial β1 integrin.
Discussion
β1 Integrin is exquisitely required for differentiation during repair, in contrast to development or alveolar homeostasis.
Since progenitor AT2 proliferation precedes differentiation in the injury repair cycle, the overabundance of incompletely differentiated AT2 cells in β1AT2-KO mice reveals a substantial block in differentiation postinjury. We previously reported increased AT2 proliferation with deletion of epithelial β1 in both the developing and adult lung in the absence of injury (8, 9). The degree of AT2 accumulation in β1-deficient repair reported here far exceeds the developmental and homeostatic contexts. This relative difference in AT2 surplus, coupled with successful AT2-to-AT1 differentiation in uninjured, aged β1AT2-KO mice (9), shows that β1-ECM interactions are even more critical for differentiation during repair of adult injury than during development or homeostasis. This comparison suggests that β1-dependent differentiation mechanisms are specifically adjusted to fit the requirements of the peripheral stem cell niche. One possible explanation is that the time interval over which cells change shape and differentiate differs between the 3 contexts of development, homeostasis, and repair. Developmental AT2-to-AT1 differentiation occurs over weeks, and sporadic AT2 replacement of AT1 cells in the adult lung occurs without the urgency of replacing a widely denuded BM. By contrast, AT2 differentiation post-LPS happens en masse with the BM exposed within hours and repopulated within days. This shorter interval makes robust upregulation of facultative differentiation pathways less likely, exposing a dependence on β1-mediated mechanisms for regulating differentiation. Another possible reason for the failed repair in β1AT2-KO mice after LPS is the presence of preexisting homeostatic defects. Uninjured β1AT2-KO mice exhibit impaired epithelial tight junctions and chronic inflammation (9). These conditions exacerbate injury, contribute to epithelial loss, and heighten demand on repair mechanisms, further exposing the dependence on β1-mediated differentiation mechanisms. A third possible reason for the β1 requirement during repair may be related to the condition of the BM. It is well known that changes in the relative amounts of ECM components will push the alveolar epithelium toward proliferation or differentiation (30), though less is known about how structural changes to the BM itself drive epithelial behavior in the alveolar stem cell niche. The mature uninjured lung has a relatively stable BM with slow turnover of BM proteins (31). However, during LPS-induced injury, inflammatory cell–associated proteases partially degrade the alveolar BM within hours (3, 4, 32). Numerous proteases degrade ECM components preferentially, thereby significantly modifying the carefully balanced alveolar BM composition (4). As different injuries induce varying types of protease release, damage to the BM components will change depending on type and severity of insult, further shifting β1-ECM interactions in the stem cell niche away from homeostatic conditions. In addition, individual β1-containing integrin pairs preferentially bind their preferred ECM ligands, thereby setting up a situation where injury-induced changes to β1-ECM interactions can either restrict or augment epithelial differentiation.
The progressive increase in AT2 cell number that escalates late in repair in β1AT2-KO lungs indicates that β1-ECM interactions may serve as a brake on AT2 progenitor cell proliferation and could be a requisite step for progression from proliferation to differentiation during the alveolar injury repair cycle and that this stalled differentiation stimulates a feed-forward loop that creates a continued abnormal call for progenitor proliferation. The lung is unique among branched organs in that there exists a distal (in fact, intra-alveolar) epithelial progenitor representing an indigenous contributor to tissue regeneration (13–15, 33), whereas no such epithelial progenitor has been reported for the kidney, mammary gland, or pancreas. Activation of the NF-κB pathway is pro-survival and pro-proliferative in many contexts, initially reported in hyperproliferative keratinocytes with constitutive NF-κB activation (23). Although multiple signaling pathways have been proposed as positive and negative regulators of AT2 progenitor proliferation in the adult lung (13–16, 34–37), their interaction with the NF-κB pathway in the injured lung remains largely undefined, though a recent study by Sieber et al. reports NF-κB–driven airway proliferation in human idiopathic pulmonary fibrosis airway epithelial/fibroblast cocultures (38). In other organs, β1-containing integrins have been reported to negatively regulate epithelial proliferation, with an EGFR activation–dependent mechanism identified in the intestinal epithelium (39), but these studies do not consider progenitor proliferation in the context of repair. Consideration of our data in light of this published work suggests that β1 integrin restricts proliferative potential in progenitor AT2 cells in the injured distal lung.
Failed differentiation in injured β1-deficient mice reveals that cell shape change is intimately tied to progression of differentiation.
We demonstrate that β1-ECM interactions are a requisite component for epithelial cell shape change through actin remodeling in the injured alveolus. The connection between integrins and cellular extension comes from studies in Drosophila epithelium and murine podocytes, both in the uninjured state (40–44). Our scRNA-Seq analysis supports the concept that cell shape change is linked to progression of differentiation, as actin remodeling pathways were enhanced in LPS-treated β1-deficient AT2 cells, but differentiation remained blocked with an overabundance of large, rounded AT2 cells. It is possible that loss of integrin clustering at the cell membrane disrupts the spatial specificity of Rho GTPase signaling (45). Certainly, diffuse ezrin expression associated with persistence of a rounded cell shape and loss of lateral cellular extensions observed in LPS-treated β1AT2-KO AT2 cells are consistent with impaired actin nucleation.
Historically, cellular identity has been defined by histological shape and directly observable characteristics of function (e.g., lamellar body synthesis by electron microscopy). The advent of single-cell transcriptomics increases the granularity with which we can group similar cells together. While this advance augments our understanding of cellular transitional states, the question of how to define groups of similar cells and the boundary between different cell identities is perhaps murkier. Previously published injury models report similar temporary and resolvable transitional cell states after bleomycin injury and other inflammatory stimuli (17, 18), which are marked by high Krt8 expression. Our transcriptomic data demonstrated persistently blocked AT2-to-AT1 differentiation in injured β1AT2-KO lungs, suggesting that they are stuck in a transitional state even in late repair. Although we believe our model is unique in the degree and persistence of failed differentiation, our transcriptomic data have some similarities and differences with recently published single-cell sequencing data from LPS injury (12). The observed differences in the transitional cell state populations identified are possibly linked to technical differences in how epithelial cells were sorted; Riemondy et al. used AT2 cells selected by expression of a fluorescent reporter for Sftpc expression prior to scRNA-Seq, removing transitional cells with lower Sftpc expression.
Loss of β1-mediated epithelium-ECM interactions increases susceptibility for emphysematous abnormal repair and accelerates aging.
Loss of β1 integrin in AT2 cells generates a senescent transcriptional signature in an otherwise uninjured youthful lung that translates into emphysematous abnormal repair with injury. Emphysema is a principal component of chronic obstructive pulmonary disease (COPD), one of the most common human pulmonary diseases that increases in incidence with age (46, 47). Although airspace expansion has been reported with either two-hit injury models or chronic repetitive low-dose LPS exposure (48–52), our β1-deficient mice are the first targeted epithelial deletion to our knowledge that results in subacute alveolar destruction following a single LPS exposure, underscoring the importance of epithelial β1 integrin in senescence and its associated pulmonary pathologies. Our scRNA-Seq pathway analysis demonstrates uninjured β1-deficient AT2 cells possess an inherent susceptibility to injury, as uninjured β1AT2-KO mice exhibit upregulation of oxidative stress, senescence, and inflammatory pathways, all contributing factors to emphysema pathogenesis. LPS-challenged β1AT2-KO mice also exhibit increased inflammation during repair, an associated finding in COPD (53), with a sustained increase in neutrophils at day 7 after LPS, potentially making prolonged exposure to elastase a contributing factor for emphysema development. At 21 days postinjury, β1AT2-KO lungs retain elevated numbers of macrophages, a significant source of matrix metalloproteinase-9, which remodels alveolar matrix in COPD (50). It is unlikely that increased AT2 apoptosis in β1AT2-KO lungs is the primary mechanism for the development of emphysema, as it was only present late in repair at day 21, when emphysematous structural changes had already occurred. The etiology for emphysematous alveolar remodeling in young β1-deficient mice is likely multifactorial but rooted in the preexisting upregulation of senescence, oxidative stress, and inflammatory pathways. Additional studies addressing how β1 integrin regulates these pathways would elucidate if and how β1-dependent mechanisms could increase susceptibility of human COPD.
In conclusion, this study shows that β1 integrin–mediated mechanisms are a requisite component of rapid and complete alveolar repair following even mild LPS-induced lung injury and involve regulation of AT2 proliferation, differentiation, and cell shape change. In the latter, we propose that cytoarchitectural changes, such as the formation of actin-rich lateral cellular extensions, are specifically tied to progression of AT2-to-AT1 differentiation during repair. Loss of β1 integrin results in upregulation of senescence, oxidative stress, and inflammatory pathways already preinjury, thereby increasing susceptibility to emphysema, a common age-related lung structural deficit.
Methods
Mice and LPS injury.
We induced β1 integrin in AT2 cells in the adult murine lung by crossing transgenic mice with inducible Cre-recombinase expression by the doxycycline-inducible reverse tetracycline transactivator under control of the SP-C promoter (SP-C rtTA Tet-O-Cre) with integrin β1fl/fl mice (54, 55). Littermate rtTA– Tet-O-Cre– negative (β1fl/fl) mice were used as control mice. Doxycycline drinking water (2 g/L) was administered for 4 weeks beginning at P28 to triple-transgenic SP-C rtTA Tet-O-Cre β1fl/fl mice (called β1AT2-KO mice) and littermate β1fl/fl controls, as previously described (9). Following proposed guidelines to limit Cre leak with the doxycycline-inducible system (20), we used the more faithful line 2 strain, employed a breeding strategy to keep the rtTA allele hemizygous, and utilized an injury model that targets the peripheral lung rather than the airway epithelium. After a 1-month period off doxycycline to minimize any potential toxicity from tissue-stored doxycycline, we challenged 3-month-old β1AT2-KO and β1fl/fl mice with a single IT dose of LPS or PBS (3 μg/g mouse weight, equivalent volume for PBS) and harvested tissue at the indicated dates. For β1AT2-KO and β1fl/fl mice administered delayed doxycycline, IT LPS was given at 3 months of age as above, and then doxycycline drinking water was provided from 5 days after LPS until harvest at 21 days after LPS. SP-C rtTA Tet-O-Cre (no floxed alleles) and β1AT2-KO mice were crossed to the mTmG Cre-recombinase reporter mice. Doxycycline drinking water and LPS were administered as above. SP-C rtTA, Tet-O-Cre, and mTmG mice were purchased from The Jackson Laboratory. Integrin β1fl/fl mice were gifted by Elaine Fuchs (Howard Hughes Medical Institute, The Rockefeller University, New York, New York, USA). All mice were maintained on the C57BL/6 background.
Histology and morphological analysis.
For histological analysis on paraffin sections, mice were sacrificed, the right ventricle was flushed with PBS, and lungs were inflation fixed at 25 cm with 10% formalin. After paraffin processing, embedding, and sectioning, lungs were hematoxylin and eosin–stained for morphological analysis by mean linear intercept, which was calculated from images (≥10 nonoverlapping images per mouse) obtained using a ×40 objective on a Keyence BZ-X710 inverted fluorescence phase contrast microscope. Immunofluorescence staining was performed on paraffin or frozen sections. Frozen blocks were prepared from lung sections inflation-fixed with a 2:1 PBS/O.C.T. (Tissue-Tek) mixture, embedded, and sectioned at either 8 μm or 50 μm thickness. Frozen section slides were then fixed with 4% paraformaldehyde, permeabilized with 0.1% Triton X-100, and blocked with 5% donkey serum for 2 hours at 37°C. Slides were incubated in primary antibody overnight at 4°C, followed by secondary antibody incubation for 2 hours at room temperature. For sequential primary antibody staining, a second intervening blocking step was utilized. Nuclei were stained with DAPI, ProLong Gold mountant (Thermo Fisher Scientific P36930) was applied, and sections were imaged. High-power images were obtained using a Nikon Spinning Disk TiE inverted fluorescence confocal microscope attached to an Andor DU-897 EMCCD camera (×100 objective, 8 μm sections). All other images were obtained using the Keyence BZ-X710 microscope as above. The following primary antibodies and probes were used: anti–pro–SP-C (Abcam ab90716), anti-ABCA3 (Abcam ab24751), anti-T1α (podoplanin, Developmental Studies Hybridoma Bank 8.1.1), anti-ezrin (Cell Signaling Technology 3145S), anti–cytokeratin 8 (Origene BP5074), anti–Ki67-FITC (eBioscience 11-5698-90), anti-CD68 (Abcam ab53444 and ab125212), anti-Ager (R&D Systems AF1145), anti–Hopx-647 (Santa Cruz Biotechnology sc-398703), anti-BrdU (MilliporeSigma B2531), anti-GFP (Abcam ab13970), anti–pan-laminin (MilliporeSigma AB2034), anti–integrin β1 (MilliporeSigma MAB1997), anti–integrin α5 (Abcam ab150361), anti–integrin αv (Abcam ab179475), anti–integrin β5 (Invitrogen PA5-118499), anti–integrin β6 (Invitrogen PA5-47309), anti–integrin β8 (Invitrogen PA5-100843), anti–phospho-p65 (Abcam ab194726), JLA20 (Developmental Studies Hybridoma Bank JLA20-s), and phalloidin (Invitrogen A12380). We applied the following secondary antibodies: anti-rabbit Alexa Fluor 405 (Invitrogen A48258), anti-rabbit Alexa Fluor 488 (Invitrogen A21206), anti-rabbit Alexa Fluor 594 (Invitrogen A21207), anti-rabbit Alexa Fluor 647 (Invitrogen A32795), anti-rat Alexa Fluor 405 (Invitrogen A48268), anti-hamster Alexa Fluor 488 (Invitrogen A21110), anti-goat Alexa Fluor 488 (Invitrogen A11055), anti-goat Alexa Fluor 647 (Invitrogen A21447), anti-chicken Alexa Fluor 488 (Invitrogen A11039), and anti–guinea pig Alexa Fluor 647 (Invitrogen A21450). TUNEL staining was performed on paraffin sections co-immunostained with pro–SP-C, per manufacturer’s kit instructions (Roche 11684795910). RNA in situ hybridization for mouse Sftpc was used in conjunction with immunofluorescence staining for the anti-ezrin antibody. RNA in situ hybridization was performed per manufacturer’s instructions (RNAScope, ACDBio), including positive and negative control probes. Quantification of immunostained sections was performed on at least 10 nonoverlapping images obtained with a 40× objective. JLA20 and phalloidin probe detection was quantified on lung sections (10 sections/mouse) imaged with equivalent settings using the corrected total cell fluorescence feature from ImageJ (NIH), which corrects fluorescence-integrated density for the area of the region of interest (pro–SP-C+ cells).
Cell morphometry.
Day 7 and day 21 AT2 cell area and roundness were calculated using the shape descriptor feature of ImageJ with pro–SP-C+CD68– cells used to define the region of interest.
PCLS.
PCLS of 300 μm were generated from the lungs of 3-month-old β1AT2-KO and β1fl/fl mice, as previously described (56–58). Briefly, slices were cultured in DMEM:F12 for 12 hours, then incubated with BrdU (1 mM, MilliporeSigma B5002) for 4 hours prior to 48 hours of treatment with LPS (MilliporeSigma L2880, 62.5 ng/mL) and/or BAY 11-7082 (100 μM, Tocris, Bio-Techne; Bay11-7821). Slices were then fixed, paraffin-embedded, and sectioned.
BAL.
After sacrifice, lungs were lavaged with 1 mL sterile PBS. The cells present in lavage fluid were collected by centrifugation (300g at 4°C for 10 minutes), resuspended, and counted. Protein content in lavage fluid was measured by BCA protein assay (Pierce catalog 23225) per manufacturer’s instructions.
Alveolar epithelial cell isolation and G-LISA.
Primary AT2 cells were collected at indicated time points as previously described (8, 9), which yields more than 90% AT2s (59, 60). Briefly, single-cell lung suspension was generated after dispase digestion and serial filtration. Cells were then applied to plates coated with CD32 and CD45 for negative selection. Epithelial cells were then collected from medium after a 2-hour incubation. Cell lysates were then used for G-LISA small GTPase activation assay (Cytoskeleton catalog BK135), where levels of activated RhoA, Cdc42, and Rac1 were detected colorimetrically per manufacturer’s instructions.
Single-cell data collection.
Sample collection and single-cell sequencing were performed as previously described (61). Briefly, lung lobes were harvested, minced, and incubated for 30 minutes at 37°C in dissociation media (RPMI-1640 from Gibco with 0.7 mg/mL collagenase XI and 30 mg/mL type IV bovine pancreatic DNase, both from MilliporeSigma). After incubation, tissue was disassociated into a single-cell suspension by passage through a wide-bore pipet tip and filtration through a 40 μm filter (Corning 352340). The single-cell lung suspension was then counted, aliquoted, and blocked with CD32 Fc block (BD catalog 553142) for 20 minutes on ice. After a 2% FBS staining buffer wash, cells were incubated with the conjugated primary antibodies anti-CD45 (BD catalog 559864) and anti-Ter119 (BioLegend catalog 116211). Samples from day 21 after LPS were also incubated with anti-CD326 antibody (BD catalog 563477) for epithelial enrichment.
scRNA-Seq library preparation and next-generation sequencing.
scRNA-Seq libraries were generated using the Chromium Single Cell 5′ library preparation kits (10x Genomics) following the manufacturer’s recommendations and targeting 10,000–20,000 cells per sample. Sequencing was performed on an Illumina NovaSeq 6000. CellRanger Count v3.1 (10x Genomics) was used to align reads onto the mm10 reference genome.
Analysis of single-cell sequencing data.
Ambient background RNA was cleaned from the scRNA-Seq data with SoupX (62) as described previously (61) using the following genes to estimate the nonexpressing cells, calculate the contamination fraction, and adjust the gene expression counts: Dcn, Bgn, Aspn, Ecm2, Fos, Hbbbs, Hbbbt, Hbaa1, Hbaa2, Lyz1, Lyz2, Mgp, Postn, and Scgb1a1. For all data sets, quality filtering was then used to remove cells with >15% or <0.1% mitochondrial mRNA and to remove cells with <700 detected genes.
Dimensionality reduction, clustering, and visualization were performed using Seurat v4.0.5 and SCTransform v0.3.2.9008 with glmGamPoi v 1.6.0 (63–65). SCTransform was run with each sequencing run as a batch variable and with the percentage of mitochondrial RNA as a regression variable. Further data cleaning was done to remove gene counts for Gm42418, which is likely an rRNA (66). Epithelial cells (i.e., Epcam+ cell clusters) were sorted in silico for downstream analysis. Epithelial cells were annotated with manual inspection of the following marker genes: Epcam, Sftpa1, Sftpc, Hopx, Aqp5, Col4a3, Ager, Foxj1, Dynlrb2, Mki67, Scgb1a1, Scgb3a2, Cdkn1a, Cldn4, Ascl1, and Scg5. All charts and heatmaps as part of the scRNA-Seq analysis were generated with ggplot2, and all parts of the analysis were run in R 4.1.1.
Data integration was performed using a previously published data set (12). Reads were downloaded from the National Center for Biotechnology Information’s Gene Expression Omnibus (GSE113049) and processed using CellRanger Count v3.1 with the mm10 genome, followed by dimensionality reduction, clustering, and visualization as described above. Data were integrated with non-SoupX-processed data using the “IntegrateData” function in Seurat, following the workflow for data normalized with SCTransform. Samples from all experiments were combined, and clusters were annotated using marker genes described in the initial publication (12), as well as other canonical marker genes.
Cell label transfer was also utilized with a second published data set (11). The annotated data matrix (h5ad file) was accessed as directed in the analysis code published as part of the methods (11). The raw counts from this annotated data set were then processed using the Seurat workflow described above, while maintaining the published cell annotations. The Seurat “TransferData” function was then used to transfer the cell annotations onto the data set generated here.
Statistics.
Comparison between 2 groups was performed by 2-tailed t test, and 4-way comparison was done by 1- or 2-way ANOVA, as indicated. Individual P values, t values, F values, df, and sample size for each group are included in the figure legends and provided in Supplemental Table 1. For graphical data, data represent mean ± SEM. ScRNA-Seq analysis was completed as above.
Study approval.
All animal experiments were approved by the Institutional Animal Care and Use Committee at Vanderbilt University Medical Center.
Data availability.
A complete collection of all package versions and code for all steps of the analysis is available at https://github.com/SucreLab/Itgb1LPS (commit ID c52fba2). All sequencing data have been deposited to the NCBI’s Gene Expression Omnibus database with accession number GSE205882. Values for all data points found in graphs are in the Supporting Data Values file. Other data are available upon request.
Author contributions
EJP conceived the study; performed in vivo experiments, histological analysis, and image analysis; interpreted the data; and wrote the manuscript. JMSS interpreted the scRNA-Seq data and wrote the manuscript. FB, JJG, JTB, and KTF performed histological analysis. PMG performed in vivo experiments, histological analysis, and protein assays. XD and SK performed protein assays. WH and CSJ performed in vivo experiments. JAK, NMN, and YL analyzed the scRNA-Seq data. SHG assisted in manuscript preparation. RZ and TSB conceived of the study, interpreted the data, and wrote the manuscript.
Supplementary Material
Acknowledgments
The authors would like to thank Matt Tyska and Christopher V.E. Wright for content expertise and Brittany Matlock, Angela Jones, Kari Seedle, Caitlin McCormick, Cristina Harmelink, Annica Alwine, and David Nichols for technical assistance. This work was supported by NIH grants K08 HL127102 (EJP), R03 HL 154287 (EJP), R01 HL163195 (EJP), K08 HL143051 (JMSS), K08 DK134879 (FB), P01 HL092870 (TSB), R01 HL151016 (TSB), R01 DK069921 (RZ), R01 DK127589 (RZ), R01 DK088327 (RZ), R01 HL157373 (JTB), R01 HL150617 (SHG), R01 HL153246 (JAK), R38 HL143619 (trainee: KTF), Merit Review Grant 2 I01 BX002378 (TSB), and I01 BX002196 (RZ); the Parker B. Francis Family Foundation (JMSS and JJG); the American Society of Nephrology Ben J. Lipps Research Fellowship (FB); and the Vanderbilt Faculty Research Scholars award (JJG and FB). Experiments were performed utilizing the Vanderbilt Cell Imaging Shared Resource (supported by NIH grants CA68485, DK20593, DK58404, DK59637, and EY08126). ScRNA-Seq experiments were performed using the Vanderbilt Technologies for Advanced Genomics Core facility. Flow cytometry experiments were performed in the Vanderbilt University Medical Center Flow Cytometry Shared Resource (supported by the Vanderbilt Ingram Cancer Center P30 CA68485 and the Vanderbilt Digestive Disease Research Center DK058404).
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Footnotes
Conflict of interest: The authors have declared that no conflict of interest exists.
Copyright: © 2023, Sucre et al. This is an open access article published under the terms of the Creative Commons Attribution 4.0 International License.
Reference information: JCI Insight. 2023;8(14):e167211.https://doi.org/10.1172/jci.insight.167211.
Contributor Information
Jennifer M.S. Sucre, Email: jennifer.sucre@vanderbilt.edu.
Fabian Bock, Email: fabian.bock@vumc.org.
Nicholas M. Negretti, Email: nick.negretti@vumc.org.
John T. Benjamin, Email: john.benjamin@vumc.org.
Peter M. Gulleman, Email: peter.gulleman@vumc.org.
Xinyu Dong, Email: Xinyu.dong@vanderbilt.edu.
Kimberly T. Ferguson, Email: kimberly.ferguson@vumc.org.
Christopher S. Jetter, Email: christopher.s.jetter@vumc.org.
Wei Han, Email: wei.han@vumc.org.
Yang Liu, Email: 310yang.liu@vumc.org.
Seunghyi Kook, Email: seunghyi.kook@vumc.org.
Jason J. Gokey, Email: jason.j.gokey@vumc.org.
Susan H. Guttentag, Email: susan.h.guttentag@vumc.org.
Jonathan A. Kropski, Email: jon.kropski@vumc.org.
Timothy S. Blackwell, Email: timothy.blackwell@vanderbilt.edu.
Roy Zent, Email: roy.zent@vumc.org.
Erin J. Plosa, Email: erin.plosa@vumc.org.
References
- 1.Mizikova I, Morty RE. The extracellular matrix in bronchopulmonary dysplasia: target and source. Front Med (Lausanne) 2015;2:91. doi: 10.3389/fmed.2015.00091. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Sokocevic D, et al. The effect of age and emphysematous and fibrotic injury on the re-cellularization of de-cellularized lungs. Biomaterials. 2013;34(13):3256–3269. doi: 10.1016/j.biomaterials.2013.01.028. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Liang Q, et al. Effect of SIS3 on extracellular matrix remodeling and repair in a lipopolysaccharide-induced ARDS rat model. J Immunol Res. 2020;2020:6644687. doi: 10.1155/2020/6644687. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Roychaudhuri R, et al. ADAM9 is a novel product of polymorphonuclear neutrophils: regulation of expression and contributions to extracellular matrix protein degradation during acute lung injury. J Immunol. 2014;193(5):2469–2482. doi: 10.4049/jimmunol.1303370. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Humphrey JD, et al. Mechanotransduction and extracellular matrix homeostasis. Nat Rev Mol Cell Biol. 2014;15(12):802–812. doi: 10.1038/nrm3896. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Hynes RO. Integrins: bidirectional, allosteric signaling machines. Cell. 2002;110(6):673–687. doi: 10.1016/S0092-8674(02)00971-6. [DOI] [PubMed] [Google Scholar]
- 7.Sun Z, et al. Integrin-mediated mechanotransduction. J Cell Biol. 2016;215(4):445–456. doi: 10.1083/jcb.201609037. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Plosa EJ, et al. Epithelial β1 integrin is required for lung branching morphogenesis and alveolarization. Development. 2014;141(24):4751–4762. doi: 10.1242/dev.117200. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Plosa EJ, et al. β1 Integrin regulates adult lung alveolar epithelial cell inflammation. JCI Insight. 2020;5(2):e129259. doi: 10.1172/jci.insight.129259. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Negretti NM, et al. A single-cell atlas of mouse lung development. Development. 2021;148(24):dev199512. doi: 10.1242/dev.199512. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Strunz M, et al. Alveolar regeneration through a Krt8+ transitional stem cell state that persists in human lung fibrosis. Nat Commun. 2020;11(1):3559. doi: 10.1038/s41467-020-17358-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Riemondy KA, et al. Single cell RNA sequencing identifies TGF-β as a key regenerative cue following LPS-induced lung injury. JCI Insight. 2019;5(8):e123637. doi: 10.1172/jci.insight.123637. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Zacharias WJ, et al. Regeneration of the lung alveolus by an evolutionarily conserved epithelial progenitor. Nature. 2018;555(7695):251–255. doi: 10.1038/nature25786. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Desai TJ, et al. Alveolar progenitor and stem cells in lung development, renewal and cancer. Nature. 2014;507(7491):190–194. doi: 10.1038/nature12930. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Nabhan AN, et al. Single-cell Wnt signaling niches maintain stemness of alveolar type 2 cells. Science. 2018;359(6380):1118–1123. doi: 10.1126/science.aam6603. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Zhou B, et al. Claudin-18–mediated YAP activity regulates lung stem and progenitor cell homeostasis and tumorigenesis. J Clin Invest. 2018;128(3):970–984. doi: 10.1172/JCI90429. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Choi J, et al. Inflammatory signals induce AT2 cell-derived damage-associated transient progenitors that mediate alveolar regeneration. Cell Stem Cell. 2020;27(3):366–382. doi: 10.1016/j.stem.2020.06.020. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Kobayashi Y, et al. Persistence of a regeneration-associated, transitional alveolar epithelial cell state in pulmonary fibrosis. Nat Cell Biol. 2020;22(8):934–946. doi: 10.1038/s41556-020-0542-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Haake SM, et al. Ligand-independent integrin β1 signaling supports lung adenocarcinoma development. JCI Insight. 2022;7(15):e154098. doi: 10.1172/jci.insight.154098. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Perl AK, et al. Conditional expression of genes in the respiratory epithelium in transgenic mice: cautionary notes and toward building a better mouse trap. Am J Respir Cell Mol Biol. 2009;40(1):1–3. doi: 10.1165/rcmb.2008-0011ED. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Saxon JA, et al. p52 overexpression increases epithelial apoptosis, enhances lung injury, and reduces survival after lipopolysaccharide treatment. J Immunol. 2016;196(4):1891–1899. doi: 10.4049/jimmunol.1501555. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Hynes RO, Naba A. Overview of the matrisome--an inventory of extracellular matrix constituents and functions. Cold Spring Harb Perspect Biol. 2012;4(1):a004903. doi: 10.1101/cshperspect.a004903. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Beg AA, et al. Constitutive NF-kappa B activation, enhanced granulopoiesis, and neonatal lethality in I kappa B alpha-deficient mice. Genes Dev. 1995;9(22):2736–2746. doi: 10.1101/gad.9.22.2736. [DOI] [PubMed] [Google Scholar]
- 24.Lake BB, et al. A comparative strategy for single-nucleus and single-cell transcriptomes confirms accuracy in predicted cell-type expression from nuclear RNA. Sci Rep. 2017;7(1):6031. doi: 10.1038/s41598-017-04426-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Fischer BM, et al. Pathogenic triad in COPD: oxidative stress, protease-antiprotease imbalance, and inflammation. Int J Chron Obstruct Pulmon Dis. 2011;6:413–421. doi: 10.2147/COPD.S10770. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Kaur G, Batra S. Regulation of DNA methylation signatures on NF-κB and STAT3 pathway genes and TET activity in cigarette smoke extract-challenged cells/COPD exacerbation model in vitro. Cell Biol Toxicol. 2020;36(5):459–480. doi: 10.1007/s10565-020-09522-8. [DOI] [PubMed] [Google Scholar]
- 27.Li J, et al. The strength of mechanical forces determines the differentiation of alveolar epithelial cells. Dev Cell. 2018;44(3):297–312. doi: 10.1016/j.devcel.2018.01.008. [DOI] [PubMed] [Google Scholar]
- 28.Takashimizu Y, Iiyoshi M. New parameter of roundness R: circularity corrected by aspect ratio. Prog Earth Planet Sci. 2016;3(1):2. doi: 10.1186/s40645-015-0078-x. [DOI] [Google Scholar]
- 29.Nobes CD, Hall A. Rho, rac, and cdc42 GTPases regulate the assembly of multimolecular focal complexes associated with actin stress fibers, lamellipodia, and filopodia. Cell. 1995;81(1):53–62. doi: 10.1016/0092-8674(95)90370-4. [DOI] [PubMed] [Google Scholar]
- 30.Rannels DE, Rannels SR. Influence of the extracellular matrix on type 2 cell differentiation. Chest. 1989;96(1):165–173. doi: 10.1378/chest.96.1.165. [DOI] [PubMed] [Google Scholar]
- 31.Jandl K, et al. The basement membrane in the cross-roads between the lung and kidney. Matrix Biol. 2022;105:31–52. doi: 10.1016/j.matbio.2021.11.003. [DOI] [PubMed] [Google Scholar]
- 32.Zhang F, et al. Prohibitin and the extracellular matrix are upregulated in murine alveolar epithelial cells with LPS‑induced acute injury. Mol Med Rep. 2018;17(6):7769–7773. doi: 10.3892/mmr.2018.8808. [DOI] [PubMed] [Google Scholar]
- 33.Rawlins EL. Lung epithelial progenitor cells: lessons from development. Proc Am Thorac Soc. 2008;5(6):675–681. doi: 10.1513/pats.200801-006AW. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Basil MC, et al. The cellular and physiological basis for lung repair and regeneration: past, present, and future. Cell Stem Cell. 2020;26(4):482–502. doi: 10.1016/j.stem.2020.03.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Juul NH, et al. Niche cells and signals that regulate lung alveolar stem cells in vivo. Cold Spring Harb Perspect Biol. 2020;12(12):a035717. doi: 10.1101/cshperspect.a035717. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Liberti DC, et al. Alveolar epithelial cell fate is maintained in a spatially restricted manner to promote lung regeneration after acute injury. Cell Rep. 2021;35(6):109092. doi: 10.1016/j.celrep.2021.109092. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Yuan T, et al. Temporospatial expression of Fgfr1 and 2 during lung development, homeostasis, and regeneration. Front Pharmacol. 2020;11:120. doi: 10.3389/fphar.2020.00120. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Sieber P, et al. NF-κB drives epithelial-mesenchymal mechanisms of lung fibrosis in a translational lung cell model. JCI Insight. 2023;8(3):e154719. doi: 10.1172/jci.insight.154719. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Xu C, et al. Regulation of sonic hedgehog expression by integrin β1 and epidermal growth factor receptor in intestinal epithelium. IUBMB Life. 2014;66(10):694–703. doi: 10.1002/iub.1319. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Santa-Cruz Mateos C, et al. Integrins regulate epithelial cell shape by controlling the architecture and mechanical properties of basal actomyosin networks. PLoS Genet. 2020;16(6):e1008717. doi: 10.1371/journal.pgen.1008717. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Dominguez-Gimenez P, et al. Integrin-ECM interactions regulate the changes in cell shape driving the morphogenesis of the Drosophila wing epithelium. J Cell Sci. 2007;120(pt 6):1061–1071. doi: 10.1242/jcs.03404. [DOI] [PubMed] [Google Scholar]
- 42.Randles MJ, et al. Basement membrane ligands initiate distinct signalling networks to direct cell shape. Matrix Biol. 2020;90:61–78. doi: 10.1016/j.matbio.2020.02.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Ron A, et al. Cell shape information is transduced through tension-independent mechanisms. Nat Commun. 2017;8(1):2145. doi: 10.1038/s41467-017-02218-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Hunter MP, Zegers MM. Pak1 regulates branching morphogenesis in 3D MDCK cell culture by a PIX and beta1-integrin-dependent mechanism. Am J Physiol Cell Physiol. 2010;299(1):C21–C32. doi: 10.1152/ajpcell.00543.2009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Muller PM, et al. Systems analysis of RhoGEF and RhoGAP regulatory proteins reveals spatially organized RAC1 signalling from integrin adhesions. Nat Cell Biol. 2020;22(4):498–511. doi: 10.1038/s41556-020-0488-x. [DOI] [PubMed] [Google Scholar]
- 46.Rivas M, et al. Senescence: pathogenic driver in chronic obstructive pulmonary disease. Medicina (Kaunas) 2022;58(6):817. doi: 10.3390/medicina58060817. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.MacNee W. Is chronic obstructive pulmonary disease an accelerated aging disease? Ann Am Thorac Soc. 2016;13(suppl 5):S429–S437. doi: 10.1513/AnnalsATS.201602-124AW. [DOI] [PubMed] [Google Scholar]
- 48.Brass DM, et al. Chronic LPS inhalation causes emphysema-like changes in mouse lung that are associated with apoptosis. Am J Respir Cell Mol Biol. 2008;39(5):584–590. doi: 10.1165/rcmb.2007-0448OC. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Ghorani V, et al. Experimental animal models for COPD: a methodological review. Tob Induc Dis. 2017;15:25. doi: 10.1186/s12971-017-0130-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Ishii T, et al. IFN regulatory factor 3 potentiates emphysematous aggravation by lipopolysaccharide. J Immunol. 2017;198(9):3637–3649. doi: 10.4049/jimmunol.1601069. [DOI] [PubMed] [Google Scholar]
- 51.Shu J, et al. Establishment and evaluation of chronic obstructive pulmonary disease model by chronic exposure to motor vehicle exhaust combined with lipopolysaccharide instillation. Exp Physiol. 2018;103(11):1532–1542. doi: 10.1113/EP087077. [DOI] [PubMed] [Google Scholar]
- 52.Singla E, et al. Gallic acid ameliorates COPD-associated exacerbation in mice. Mol Cell Biochem. 2021;476(1):293–302. doi: 10.1007/s11010-020-03905-5. [DOI] [PubMed] [Google Scholar]
- 53.Wright JL, Churg A. Animal models of COPD: barriers, successes, and challenges. Pulm Pharmacol Ther. 2008;21(5):696–698. doi: 10.1016/j.pupt.2008.01.007. [DOI] [PubMed] [Google Scholar]
- 54.Perl AK, et al. Conditional gene expression in the respiratory epithelium of the mouse. Transgenic Res. 2002;11(1):21–29. doi: 10.1023/A:1013986627504. [DOI] [PubMed] [Google Scholar]
- 55.Raghavan S, et al. Conditional ablation of beta1 integrin in skin. Severe defects in epidermal proliferation, basement membrane formation, and hair follicle invagination. J Cell Biol. 2000;150(5):1149–1160. doi: 10.1083/jcb.150.5.1149. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Alsafadi HN, et al. An ex vivo model to induce early fibrosis-like changes in human precision-cut lung slices. Am J Physiol Lung Cell Mol Physiol. 2017;312(6):L896–L902. doi: 10.1152/ajplung.00084.2017. [DOI] [PubMed] [Google Scholar]
- 57.Sucre JMS, et al. Hyperoxia injury in the developing lung is mediated by mesenchymal expression of Wnt5A. Am J Respir Crit Care Med. 2020;201(10):1249–1262. doi: 10.1164/rccm.201908-1513OC. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Uhl FE, et al. Preclinical validation and imaging of Wnt-induced repair in human 3D lung tissue cultures. Eur Respir J. 2015;46(4):1150–1166. doi: 10.1183/09031936.00183214. [DOI] [PubMed] [Google Scholar]
- 59.Rice WR, et al. Maintenance of the mouse type II cell phenotype in vitro. Am J Physiol Lung Cell Mol Physiol. 2002;283(2):L256–L264. doi: 10.1152/ajplung.00302.2001. [DOI] [PubMed] [Google Scholar]
- 60.Young LR, et al. The alveolar epithelium determines susceptibility to lung fibrosis in Hermansky-Pudlak syndrome. Am J Respir Crit Care Med. 2012;186(10):1014–1024. doi: 10.1164/rccm.201207-1206OC. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Schuler BA, et al. Age-determined expression of priming protease TMPRSS2 and localization of SARS-CoV-2 in lung epithelium. J Clin Invest. 2021;131(1):140766. doi: 10.1172/JCI140766. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Young MD, Behjati S. SoupX removes ambient RNA contamination from droplet-based single-cell RNA sequencing data. Gigascience. 2020;9(12):giaa151. doi: 10.1093/gigascience/giaa151. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Hao Y, et al. Integrated analysis of multimodal single-cell data. Cell. 2021;184(13):3573–3587. doi: 10.1016/j.cell.2021.04.048. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Hafemeister C, Satija R. Normalization and variance stabilization of single-cell RNA-seq data using regularized negative binomial regression. Genome Biol. 2019;20(1):296. doi: 10.1186/s13059-019-1874-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Ahlmann-Eltze C, Huber W. glmGamPoi: fitting Gamma-Poisson generalized linear models on single cell count data. Bioinformatics. 2021;36(24):5701–5702. doi: 10.1093/bioinformatics/btaa1009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66.Kimmel JC, et al. Aging induces aberrant state transition kinetics in murine muscle stem cells. Development. 2020;147(9):dev183855. doi: 10.1242/dev.183855. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
A complete collection of all package versions and code for all steps of the analysis is available at https://github.com/SucreLab/Itgb1LPS (commit ID c52fba2). All sequencing data have been deposited to the NCBI’s Gene Expression Omnibus database with accession number GSE205882. Values for all data points found in graphs are in the Supporting Data Values file. Other data are available upon request.