SUMMARY
The formation of functional epithelial tubules is a central feature of many organ systems. Although the process of tubule formation by epithelial cells is well-studied, the way in which tubules connect with each other (i.e. anastomose) to form functional networks both in vivo and in vitro is not well understood. A key, unanswered question in the kidney is how the renal vesicles of the embryonic kidney connect with the nascent collecting ducts to form a continuous urinary system. We performed a ligand-receptor pair analysis on single cell RNA-seq data from embryonic mouse kidney tubules undergoing anastomosis to select candidates that might mediate this process in vivo. This analysis identified hepatocyte growth factor (HGF), which has known roles in cell proliferation, migration, and tubulogenesis, as one of several possible candidates. To test this possibility, we designed a novel assay to quantitatively examine epithelial tubule anastomosis in vitro using epithelial spheroids with fluorescently-tagged apical surfaces to enable direct visualization of anastomosis. This revealed that HGF is a potent inducer of tubule anastomosis. Tubule anastomosis occurs through a proliferation-independent mechanism that acts through the MAPK signaling cascade and matrix metalloproteinases (MMPs), the latter suggestive of a role in extracellular matrix turnover. Accordingly, treatment of explanted embryonic mouse kidneys with HGF and collagenase was sufficient to induce kidney tubule anastomosis. These results lay the groundwork for investigating how to promote functional interconnections between tubular epithelia, which have important clinical implications for utilizing in vitro grown kidney tissue in transplant medicine.
Keywords: epithelial tubules, interconnection, kidney, hepatocyte growth factor, spheroids, development, anastomosis
INTRODUCTION
Tubular structures underlie the functions of many tissues—from the blood vasculature, to the digestive tract, to the nephrons of the kidney. The adult human kidney is comprised of approximately 0.5 to 1 million nephrons (1, 2), each of which consists of a filtration unit at its proximal end which then feeds into a long, segmented epithelial tubule. Throughout this tubule, the nephron filtrate undergoes significant modifications to reclaim nutrients, expel waste, and modify urine concentration. Disruptions to nephron filtration or tubular functions can lead to kidney disease (3, 4). In severe cases, individuals with impaired kidney function may require renal replacement therapy, typically via dialysis or kidney transplant. Despite their life-extending benefits, both treatments have limitations, underscoring the urgent need for alternative strategies to augment kidney function.
One potential alternative strategy is implantation of stem cell-derived kidney tissue into individuals with severely impaired kidney function. Thus far, most efforts to generate kidney tissue from pluripotent stem cells have focused on how to maximize tubule differentiation, segmentation, and cellular function (5–9), and how to support tubule vascularization (10–13). Current methods are based on promoting differentiation of stem cells by exposing them to a series of factor supplementations (5, 14–18). This method, while promising, faces barriers for use in future transplant medicine. Central to this endeavor is the creation of functional interfaces between implanted and recipient tissues to ensure concerted function. To that end, facilitating anastomosis of engineered tubules with the tubules of a recipient host remains a major hurdle.
Nature has already solved the challenge of engineering epithelial tubule interconnections. In the developing mammalian kidney, mesenchymal nephron progenitors undergo a mesenchymal-to-epithelial transition to form epithelial spheroids called renal vesicles. Adjacent to these renal vesicles are the tips of ureteric tubules, or ureteric buds, which give rise to mature collecting ducts. During nephrogenesis, the renal vesicles elongate and then anastomose with tips of the ureteric buds to form continuous tubules that then undergo lumen fusion to yield a single central lumen (19, 20).
Work from our lab has previously demonstrated that the lumenization of these anastomosed tubules occurs by de novo lumen formation as well as lumen fusion (21). Yet, what drives the process of tubule anastomosis between a developing renal vesicle and the ureteric bud remains unknown. This is in part due to the complexity of the system, as there are numerous developmental and morphogenetic processes occurring, such as differentiation and progenitor renewal (22–25), cell migration (26), matrix secretion and turnover (27–29), and concurrent mesenchymal-to-epithelial transition. In addition, the tubules themselves are surrounded by progenitor interstitial cells that play a role in cell differentiation and morphogenesis (30), although their role in tubule anastomosis is unknown. Other model systems that undergo spontaneous epithelial tubular anastomosis including the drosophila trachea (31), avian lung (32), and zebrafish kidney (33), are all similarly complex.
To assess the molecular underpinnings of epithelial tubule anastomosis and to identify candidate effectors, we performed a ligand-receptor pair analysis on single cell RNA-seq data from embryonic mouse kidney tubules undergoing anastomosis (34–37). In conjunction with these studies, we developed a novel fluorescence-based, quantitative 3D tissue culture model designed to identify cellular and molecular mechanisms leading to tubule anastomosis and lumen fusion. This assay builds upon a well-characterized three-dimensional (3-D) cell culture system that generates epithelial spheroids/tubuloids from Madin-Darby Canine Kidney (MDCK) cells (38–41) and can be used to test factors that promote tubule anastomoses in a directed fashion. One of the top candidates identified in the ligand-receptor analysis, hepatocyte growth factor (HGF), was found to be sufficient to induce tubule anastomoses in the tubuloid assay, where it does so in a proliferation-independent, MAPK-dependent manner. HGF was also found to induce anastomosis of tubules from mouse kidney explants, thus validating the in vitro approach.
Given the numerous clinical applications for promoting functional tubular interconnections, particularly at the intersection of organoid biology and transplantation, these findings are certain to have a direct and significant impact. Furthermore, this novel assay, combined with knowledge of candidate pathways, offers a powerful tool for rapid hypothesis testing in a variety of different settings.
RESULTS
A bioinformatics-based approach to uncover mechanisms underlying interconnection in vivo
During normal nephrogenesis, the tips of the ureteric bud and the renal vesicle anastomose to form a single continuous conduit, schematically represented as Fig 1A. Although little is known about the underlying mechanisms, we reasoned that the interconnection between these tubules might involve concerted interactions at the level of surface proteins. To identify ligand-receptor pairs that might be involved, we utilized previously published single cell RNA-seq datasets from mouse kidney during late embryogenesis (34, 35) and performed ligand-receptor analysis with the cell clusters representing the tips of the ureteric bud (UB) and the distal portion of the renal vesicle (RV). Additionally, because the UB and RV tubules are adjacent to interstitial cells that may secrete morphogens or provide other cues, we also performed ligand-receptor analysis between the UB/RV and the surrounding three nephrogenic stromal/interstitial cell populations, referred to as stromal progenitors SP1, SP2, and SP3. The clusters representing these individual cell types are shown as a UMAP plot (Fig 1B) and select results of the ligand-receptor analysis are represented as a ladder plot (Fig 1C, see Table S1 for top 100 interactions). Amongst these results, hepatocyte growth factor (HGF) emerged as a highly ranked ligand (top 25) four times in conjunction with MET and ST14 in the SP2-UB and SP3-UB analyses. MET is a tyrosine kinase receptor that activates HGF signaling (42), while ST14 is a transmembrane serine protease that activates pro-HGF (43).
MDCK spheroids anastomose over time in 3D culture
When single cell-dissociated MDCK cells are grown in Matrigel, each will proliferate and form a polarized 3D spheroid, as previously described (44, 45). We observed over time that some of the spheroids were dumbbell-shaped, suggesting spheroid anastomosis (Fig 2A). To examine this phenomenon more closely, we generated MDCK spheroids stably producing fluorescently-tagged podocalyxin. Although fluorescently-tagged podocalyxin (Podxl) localizes to the apical plasma membrane, through partial apical ectodomain shedding (46), these N-terminally-tagged fluorophores also highlight the lumenal space. Visualization of GFP-Podxl-tagged spheroids revealed that some spheroids “invaded” adjacent spheroids (Fig 2Ba). Other spheroids appeared connected but had two distinct lumens (Fig 2Bb), while dumbbell-shaped spheroids with two main spheroidal subdomains contained a single lumen (Fig 2Bc).
A novel assay for spheroid interconnection
To determine if dumbbell-shaped spheroids were two anastomosed spheroids rather than a single spheroid with unusual shape, we generated two cell lines stably producing GFP-Podxl or RFP-Podxl. Dissociated cells from both cell lines were plated at a 1:1 ratio and grown into spheroids (Fig 2Ca). By examining both fluorophores, heterologous connection of GFP+ and RFP+ spheroids could be detected. Some fused structures had separate GFP+ and RFP+ lumens (Fig 2Cb) while others had a single lumen that was double-positive (GFP+-RFP+) (Fig 2Cc). Both types of structures were suggestive of anastomosis, with the former in an intermediate state that had not undergone lumen fusion. However, we also observed varying degrees of intercalation between GFP+ and RFP+ apical fluorescence in some spheroids (Fig 2Cd,e). Thus, it was not clear if these GFP+-RFP+ structures arose from connection of appropriately polarized and lumenized spheroids or from epithelial cells that had aggregated prior to spheroid formation and lumenization.
To distinguish between these possibilities and detect only anastomosed spheroids, we created a new assay in which GFP-Podxl+ and RFP-Podxl+ spheroids were grown separately, detached from their extracellular matrix (ECM) substrate, and then re-plated together (Fig 2D). Briefly, spheroids were harvested and re-plated after 3 days in Matrigel culture, when spheroids had apical-basal polarity and discrete lumens (47). We optimized the assay by increasing the re-plated density of spheroids 10-fold after centrifugation and resuspension to increase the basal rate of interconnection. In this assay, a single structure containing GFP+ and RFP+ could only be the result of interconnection between separate spheroids. Figure 2E depicts co-plated spheroids (Fig 2Ea) and highlights an example of a structure resulting from two anastomosed spheroids (Fig 2Eb–e).
Quantification of spheroid anastomosis by fluorescence- and morphology-based metrics
Using this assay, we examined the process of normal anastomosis at cellular resolution. During interconnection, two spheroids progress from invasion and tubular anastomosis to lumen fusion (Fig 2F). The patterns of fluorescence provide direct readouts of the extent of interconnection. The first stage shows dual GFP+-RFP+ structures (Fig 2Ga). The latter shows spectral overlap between GFP+ and RFP+ at coalesced lumens (Fig 2Gb), giving them a yellow appearance on epifluorescence imaging. In addition to the robust, fluorescence-based, binary readouts (dual versus single color; yellow lumen present versus absent), changes in spheroid size and number can be used as indirect measures of spheroid, and subsequently lumen, interconnection (Fig 2H–J). For example, the cross-sectional area of interconnected structures is larger than that of single spheroids that have only proliferated over the same time. Similarly, a decrease in the number of structures over time in each area suggests interconnection has occurred. Collectively, these four metrics provide strong quantitative readouts of spheroid interconnection.
Hepatocyte growth factor promotes spheroid anastomosis
Among known tubulogens (factors promoting tubule formation in 3D cultures), HGF has a well-known role in inducing cellular protrusions and influencing tubule morphogenesis, depending on the extracellular context (48–52). Based on this, we hypothesized that HGF might also promote tubule anastomosis and selected it for further study. We added HGF to replated spheroids and observed dramatic and robust effects on tubule interconnection (Fig 3A). As previously described, spheroid interconnection was assessed based on four metrics: the percentage of 1) dual GFP+-RFP+ structures, 2) GFP+-RFP+ (‘yellow’) lumens, 3) spheroid size, and 4) spheroid number (Fig 3B,C,D,E,F). HGF promoted spheroid anastomosis in a dose-dependent manner (Fig S1).
Proliferation is not necessary for tubular interconnection
Since a major function of HGF is to promote cellular proliferation, we tested the role of cell proliferation in tubule anastomosis using the inhibitor mitomycin C. Preliminary experiments were performed on MDCK spheroids to titrate the dose of mitomycin C that impeded cell proliferation without inducing cell death (Fig S2). We found that a proliferation-inhibiting dose of mitomycin C did not inhibit anastomosis by any of the four quantitative measures (Fig 4A–D) but decreased the size of spheroids (Fig 4D) and their elongation (Fig 4A), resulting in mostly spherical structures. This suggests that anastomosis and proliferation can be molecularly uncoupled, where proliferation, resulting in larger, irregularly shaped spheroids, may occur normally after HGF treatment, but it is not required a priori for epithelial fusion downstream of HGF.
HGF activates the MEK/ERK signaling pathway to stimulate tubular interconnection.
HGF triggers pleiotropic cellular responses by binding MET receptor tyrosine kinase, activating multiple downstream signaling pathways, including STAT3 and MAPK (i.e. MEK/ERK) signaling (53, 54). HGF triggers phosphorylation of the Tyr705 residue of STAT3 (55), and promotes scattering and morphogenesis of epithelial cells by activating ERK1/2 (53, 56). To determine how HGF stimulates tubular interconnection, we examined the phosphorylation status of STAT3 and ERK1/2 in replated MDCK spheroids in the presence or absence of HGF (Fig 5A). While phosphorylation of the Ser727 residue of STAT3 remained constant, phosphorylation of the Tyr705 residue increased between 0.5 h and 2 h after culture, regardless of the HGF treatment. This indicates that HGF does not affect the phosphorylation status of STAT3 in the replated spheroids. In contrast, the same samples had a robust increase ERK1/2 phosphorylation in the presence of HGF compared with those lacking HGF at all time points assayed (Fig 5A). The results show that HGF activates ERK1/2 MAP kinase in MDCK spheroids and does so within 30 minutes of treatment.
To determine if the HGF-induced tubule interconnection was dependent on MEK/ERK activation, we treated the spheroids with an inhibitor of MEK (U0126) or an inhibitor of ERK1/2 (SCH772984). Both inhibitors fully blocked the HGF-induced increase in ERK1/2 phosphorylation (Fig 5B,C). To assess the necessity of these pathways in anastomosis, we cultured replated MDCK spheroid cells expressing GFP-Podxl+ and RFP-Podxl+. The proportion of lumen fusion increased significantly (p < 0.0001) from 3.4% to 30.3% when HGF was added in the culture medium, indicating tubular interconnection between spheroids (Fig 5D,F). Spheroids with dual fluorescence and lumen fusion were not observed in the presence of inhibitors of MEK (U0126) or ERK1/2 (SCH772984) (Fig 5E–H). Together, these results suggest that stimulation of tubular anastomosis by HGF is mediated by the ERK1/2 signaling pathway.
Matrix metalloproteases are required for tubular and lumenal fusion
HGF has previously been shown to activate matrix metalloproteases (MMPs) and promote tubule development (54). To test the role of MMPs in mediating HGF-induced tubule anastomosis, we examined the activities of MMP9 and MMP2 using gelatin zymography analysis in our cultured MDCK cells. The amount of active form of extracellular MMP9 increased significantly in response to the HGF treatment over time while MMP2 activity was unchanged (Fig 6A–D). These data suggest a potential role of MMP9 in anastomosis. (Fig 6C,D). To test this directly, we utilized ilomastat which is known to broadly inhibit MMP function (57, 58). Without ilomastat in the culture medium, HGF promoted tubule and lumen fusion as shown by dual florescence of MDCK structures and lumens (Fig 6E–G). Treatment with ilomastat reduced anastomosis at the level of structural interconnection and lumen fusion (Fig 6E–G). Collectively, these data confirm roles for MEK-ERK and MMPs downstream of HGF in regulating tubular interconnection.
HGF promotes tubule interconnection in kidney explants
To investigate whether the mechanisms of HGF-induced anastomosis from an in vitro epithelial monoculture system can be extrapolated to a complex multicellular tissue, we examined ex vivo culture explants of embryonic day 12.5 (E12.5) kidneys from Ksp-cre Tg/+;Rosa-tdTomatof/+ mice. Ksp-cre induces recombination in ureteric bud epithelia (59) and Rosa td-Tomato is a reporter allele encoding an RFP variant (60), thereby enabling fluorescent visualization of the cre-recombined ureteric bud. E12.5 kidneys were dissected, and each pair of kidneys was plated with their cortices abutting the other, an orientation that brought their nephrogenic zones and ureteric buds in close proximity. Pairs were cultured with or without HGF (100 μg/mL) for 72 hours, at which time the explants were fixed, cleared, and stained for a marker of tubule lumens, Par6. They were then imaged by confocal microscopy through the full thickness of the explant. Initial experiments did not demonstrate lumenal fusion between ureteric buds (UB), or between ureteric bud (UB) and renal vesicle (RV) of adjacent kidney explants.
We hypothesized that the presence of mesenchymal cells in the cortex of embryonic kidneys created a physical barrier between epithelia that prevented interactions and subsequent anastomosis. To increase the accessibility of tubules between two embryonic kidneys, we treated explants with collagenase A (2.5 mg/mL) for 1, 1.5, and 2 min at 37°C which removed some of the mesenchymal cells surrounding the kidneys. Embryonic kidneys treated for more than 1.5 minutes did not develop well (not shown) and were not used in subsequent experiments. Using this strategy (Fig 7A–E), we found that HGF promotes UB-UB anastomosis between embryonic kidneys treated with collagenase A for 1 min. Staining with lumenal marker Par6 indicated that not only were the tubules interconnected, but their lumens had fused as well (Fig 7E). Treatment of explants with HGF or collagenase alone did not induce interconnection (Fig 7B,C). Similar interconnections of UB-RV and RV-RV were not observed, which may be due to their positioning and lack of close proximity. Interestingly, where an explant was positioned correctly such that the ureter of one kidney was abutting the cortex of the other, this resulted in anastomosis between the UB and ureter (Fig S3). Together these results suggest that extrinsic manipulation of tubules ex vivo is sufficient to tubule interconnection and that HGF is a key factor to promote tubule interconnection.
DISCUSSION
Fusion of epithelial tissues is an essential event in embryonic development and represents a significant barrier in tissue engineering applications. Our current understanding of the process is mainly based on studies from developmental model systems (31, 61–63). During tubule anastomosis in the developing kidney, there is dissolution of intervening extracellular matrix (27, 64), invasion of the ureteric epithelia by the distal renal vesicle (20), reorganization of the cells, formation of new cellular junctions and re-establishment of polarity (21). Despite careful descriptive analyses of these processes, the mechanisms that lead to endogenous tubular anastomosis have remained elusive, due in part to the complexity of the developing organ, which has numerous, interdependent morphogenetic processes. Use of a simple, in vitro model offers advantages in this regard. Here we have developed a quantitative in vitro assay to visualize and quantify epithelial tubular anastomosis, and successfully used it to identify HGF as a promising candidate that promotes tubule anastomosis and lumen fusion.
To gain insight into how one might promote tubule interconnection ex vivo, we investigated the molecular interactions associated with endogenous tubule anastomosis during kidney development. Using single-cell transcriptomic data from E18.5 mouse kidneys (38, 39), we identified ligand-receptor interactions at sites of tubule anastomoses. Among these interactions, hepatocyte growth factor (HGF) emerged as a highly significant ligand produced by the nephrogenic stroma, with MET and ST14 identified as prominent receptors in the ureteric bud. We chose to focus on HGF due to its solubility and established role as a tubular morphogen. In addition, the HGF receptor MET is widely expressed in adult kidney tubules, making HGF an attractive candidate for additional translational studies. HGF has been shown to exert myriad effects on cell behavior in vitro (51, 52, 54, 65). Notably, it promotes the outgrowth of delicate basal cell protrusions from polarized epithelia and induces a partial epithelial-to-mesenchymal transition (66), both critical for anastomosis. Our studies demonstrate that exogenous HGF robustly promotes tubule anastomosis both in vitro and ex vivo in kidney tubules. Additionally, our data indicate that HGF-induced tubule anastomosis is mediated through MAPK signaling and MMP-dependent pathways.
The role of HGF and its effector signaling pathways (i.e. STAT3, MAPK, MMP activity) have been well studied in models of epithelial tubule formation. The significance of the current work is that it extends knowledge of HGF function to include tubule anastomosis, which has clear translational applications for organoid-based therapies, and it begins to elucidate the processes and signaling pathways required for anastomosis. Not surprisingly, some of these HGF-induced processes are similarly required in both tubule formation and anastomosis, including the essential roles for MAPK signaling. Intriguingly, although HGF/MAPK is known to induce cell proliferation (54), our studies revealed that there is no requirement for cell proliferation in tubule anastomosis. This implies that HGF-induced anastomosis is not secondary to the increased size of HGF-treated spheroids, which would be expected to increase direct contact. It also implies that the transient perturbations of the basement membrane that occur in dividing cells (66) do not contribute.
Previous work has shown that HGF promotes induction of various MMPs in several epithelial cell types (54, 67, 68). Indeed, in our assay, we found that HGF treatment increased MMP-9 activity. To test the necessity for MMP activity in inducing anastomosis, we used the broad-spectrum MMP inhibitor ilomastat. Our results demonstrate that MMP inhibition is sufficient to block tubule anastomosis by HGF, suggesting that collagen degradation and matrix invasion and/or another MMP function, such as re-establishment of epithelial polarization and differentiation (54), is required for tubule and luminal anastomosis.
To validate the biological significance of the in vitro results, we tested the ability of HGF to mediate tubule anastomosis in adjacent, explanted embryonic kidneys. Initial experiments were unsuccessful, perhaps due to the lack of close proximity between tubules since several layers of stromal cells intervene between the tubules of adjacent kidneys. A brief treatment with collagenase prior to explant culture served to overcome this hurdle, resulting in robust anastomosis between adjacent ureteric bud tubules. Collagenase may have contributed to anastomosis not only by removing stromal cells, but by enhancing dissolution of the tubule basement membranes, which may have been more resistant to turnover than in the in vitro culture model. In any event, future attempts to induce tubule anastomosis via other soluble mediators may benefit from the addition of collagenase.
Exogenous anastomosis of renal vesicles to renal vesicles or other tubules in the adjacent kidney was not observed. This could be attributed to the distance (and intervening cells) between these tubules; however, it may also be explained by the localization of MET to the ureteric bud, and not renal vesicles/nephron. Future experiments to examine these interactions as well as those in other tubule types, while beyond the scope of the current study, will be of great interest.
It is important to note that while HGF is known to robustly induce tubulogenesis and anastomosis in vitro and ex vivo, inactivation of HGF or its receptor, MET, does not cause observable defects in kidney development, although defects in liver, limb muscles and placental development are present (69–71). Thus, HGF is not required for these processes to occur in vivo. This suggests that either HGF can trigger an event that it normally does not affect or, alternatively, that other morphogens with redundant activities are able to compensate for HGF-mediated signaling in epithelia. Support for the later comes from studies in which HGF-blocking antibodies abrogate branching tubulogenesis and nephron formation in kidney explants (72, 73). In addition, EGFR ligands such as TGF-alpha are capable of inducing branching tubulogenesis in MET knockout cells as well as in mIMCD3 cells, where they act in part through MMP activity (74). Consistent with this, mice with deletion of Met from the ureteric bud tubules have increased EGFR (75). In further support of functional redundancy, a major downstream signaling cascade of HGF-MET is MAPK, and MAPK signaling can be activated by several ligands in the kidney in addition to HGF. For example, GDNF/RET signaling, which is essential for UB branching and nephron formation, acts in part through MAPK (76). Pharmacologic inhibition of MAPK signaling in kidney explants leads to abrogated ureteric bud branching (77), and genetic ablation of MAPK signaling in the ureteric bud via dual deletion of MEK1/2 prevents ureteric bud branching, causing severe kidney hypodysplasia (78). Collectively, these results suggest an important role for HGF/MET and MAPK signaling in tubule formation/branching, one whose role is masked by functional redundancy by other ligands and/or signaling pathways. Furthermore, although not tested here, one can imagine that soluble ligands other than HGF might similarly affect tubule anastomosis.
In conclusion, organoid biology is becoming increasingly relevant as the promise of autologous, lab-grown, transplantable tissues gives new hopeful directions to transplant medicine (6, 79–81). An essential part of that endeavor is ensuring that interconnections occur between transplanted and host tissues, something that has yet to be achieved. Our cell-based assay and bioinformatic approach can be used to generate novel hypotheses and test additional promising candidates for their effects on tubule anastomosis in a quantitative and relatively efficient manner. Together they will serve as a useful resource for additional studies on tubule interconnection.
METHODS
Cells lines and spheroid culture
MDCKII cells were cultured in MEM/EBSS with 5% FBS, 1% P/S, and 15 mM HEPES, and tested for mycoplasma contamination. To generate stable cell lines producing GFP-podocalyxin or RFP-podocalyxin, we cloned canine Podxl1 into the pQCXIZ retroviral plasmid with a GFP or RFP fused to the N-terminus (a gift from Eric Campeau, Addgene plasmid #22801). We packaged retroviruses containing each vector in HEK293GPG using Mirus Trans-ItLT1 transfection reagent. Viral supernatant was collected for 3 days and then used for cell transduction. Transduced cells were selected with Zeocin (100 μg/ml, Invitrogen, #R25001) for 14 days and then FAC-sorted to enrich fluorescence (top 30%) for further experiments.
Spheroid Anastomosis Assay
MDCKII spheroids were grown in Matrigel (Corning, #354234) as described previously (82). Briefly, single cell suspensions (4.4×104 cells/mL) of MDCKII GFP-podocalyxin or RFP-podocalyxin were prepared in media with 2% Matrigel and plated on polymerized Matrigel (5 μl/cm2). Seventy-two-hour cultures were rinsed with ice-cold PBS+ (PBS, 1mM CaCl2, 0.5 mM MgCl2), and treated with Cell Recovery solution (Corning, #354253) containing 10 U/mL DNase (Promega, #M6101) for 1 hour at 4°C with agitation. Depolymerized slurries were triturated 10 times to release spheroids, mixed 1:1 the GFP-podocalyxin and RFP-podocalyxin spheroids, and centrifuged at 900g for 90 seconds at 4°C. Supernatants containing depolymerized Matrigel were discarded. Spheroids were gently resuspended in media with 2% Matrigel and plated in 8-well chamber slides, approximately 4- to 10-fold denser per unit area than the individual seeded cultures. HGF (R&D, #2207), mitomycin-C (Sigma, #M5353), U0126 (Promega, #V112A), SCH772984 (Sellekchem, #S7101), or ilomastat (Selleckchem, #S7157) were added as indicated in experiments. All conditions were performed in triplicate.
Image acquisition
Baseline spheroid count was determined by tile-scanning replated spheroids in triplicate with Nikon Eclipse Ti widefield microscope three hours after harvest. Spheroids were re-imaged at 24 and 48 hours. ImageJ was used for image analysis. Briefly, calibrated brightfield images were subjected to 100 μm Gaussian blur, adjusted for brightness, thresholded, and converted to binary. Particles identified in binary images were closed, filled, and counted. In a blinded manner, particles were superimposed on fluorescent channels to score GFP+-RFP+ (dual-positive) structures and lumen spectral overlap (yellow-lumens). Dual-positive, yellow-lumen, and endpoint structure count over baseline were reported as percentages of total structures. Shape determinants such as cross-sectional area was measured and reported as frequency distributions for each treatment condition. Images in figures were linearly adjusted for brightness. All conditions were performed in triplicate and analysis of images was performed in a blinded fashion.
Immunoblot assay
MDCK spheroids replated onto 12-well plates were treated with 10 μM U0126 or 5 μM SCH772984 for 30 min prior to addition of HGF (10 ng/ml). After the spheroid harvest, total protein was extracted in RIPA buffer (100 mM NaCl, 20 mM NaPO4, pH 7.2, 0.1% SDS, 0.5% sodium deoxycholate, 1% NP40, 50 mM NaF, 4 mM sodium vanadate, protease inhibitor, 1 mM PMSF). The protein was quantified by BCA assay and equivalent amounts of protein were electrophoresed in SDS-PAGE and transferred to nitrocellulose membrane. The membrane was blocked in 5% BSA and probed with respective primary antibodies: p-ERK (Cell Signaling, #9101S), total ERK (Cell Signaling, #4695), p-Stat3(Ser 727, Cell Signaling, #9134), p-Stat3 (Y705, Cell Signaling, #9145s), total Stat3 (Cell Signaling, #9132) and GAPDH. IRDye680RD Donkey anti-rabbit and IRDye800CW Donkey anti-mouse (Licor) were used, and images were scanned using the ChemiDoc MP TM system (Bio-Rad, Hercules, CA, USA).
Gelatin Zymography
Three-day cultured spheroids were replated onto 12-well plates coated with Matrigel and treated with HGF (10 ng/ml) in serum-free medium. The conditioned media were collected at 2, 24, and 48 hours and gelatin zymography was performed using 7.5% acrylamide gel containing 4 mg/mL gelatin (SIGMA). Briefly, serum-free conditioned media was mixed with 5X non-reducing sample buffer, incubated at 37°C for 20 min, and then subjected to 7.5% SDS-PAGE. The gel was washed for 30 minutes 4 times using renaturing buffer (2.5% Triton X-100, 50 mM Tris, 5 mM CaCl2, 1 μM ZnCl2) and subsequently incubated in developing buffer (1% Triton X-100, 50 mM Tris, 5 mM CaCl2, 1 μM ZnCl2) at 37°C for 2 days. The gels were stained using 0.5% Coomassie Blue solution, then destained in 40% methanol,10% acetic acid. The gels were scanned by ChemiDoc MP TM system (Bio-Rad, Hercules, CA, USA).
Bioinformatic data, candidate prioritization, and ligand-receptor analyses
We used single cell RNA sequencing datasets of mouse embryonic kidney (E18.5) available on the Gene Expression Omnibus (GEO): GSE155794 (35) GSE108291 (34). Each batch was processed independently using the scran Bioconductor package (83). Unfiltered feature-barcode matrices were generated by running the CellRanger count pipeline. Cells were called from empty droplets by testing for deviation of the expression profile for each cell from the ambient RNA pool (84). Cells with large mitochondrial proportions, i.e., more than 3 mean-absolute deviations away from the median, were removed. Cells were pre-clustered; a deconvolution method was applied to compute size factors for all cells (85) and normalized log-expression values were calculated. Variance was partitioned into technical and biological components by assuming technical noise was Poisson-distributed and attributing any estimated variance more than that accounted for by a fitted Poisson trend to biological variation. The dimensionality of the data set was reduced by performing principal component analysis and discarding the later principal components for which the variance explained was less than variance attributable to technical noise.
Masking of biological effects by expression changes due to cell cycle phase were mitigated by blocking on this covariate. The cell cycle phase was inferred using the pair-based classifier implemented in the cyclone function of scran. Corrected log-normalized expression counts were obtained by calling the removeBatchEffect from the limma (25605792) Bioconductor package with a design formula including G1 and G2M cell cycle phase scores as covariates. A single set of features for batch correction was obtained by computing the average biological component of variation across batches and retaining those genes with a positive biological component. The batches were rescaled, and log-normalized expression values recomputed after the size factors were adjusted for systemic differences in sequencing depth between batches. Batch effects were corrected by matching mutual nearest neighbors in the high-dimensional expression space (86). The resulting reduced-dimensional representation of the data was used for all subsequent embeddings such as UMAP. Cells were clustered by building a shared nearest neighbor graph (87) and executing the Walktrap algorithm (https://dx.doi.org/10.7155/jgaa.00124). Cluster-specific gene expression was identified with the EIGEN algorithm (36). Putative cell type identities were assigned based on the cluster-specific expression of established marker genes.
Potential ligand-receptor relationships evaluated were those identified by the FANTOM5 project (88). The curated human gene annotations were mapped to mouse orthologues using the AnnotationHub Bioconductor package (https://doi.org/10.18129/B9.bioc.AnnotationHub). For each pair of cell types postulated to serve as source or target, respectively, for a ligand-receptor interaction, the expression of ligands in the former and receptors in the latter were ranked using EIGEN. The ligand-receptor interactions were then ranked by the mean of the ligand and receptor rankings. For a given pair of interacting cell types, ligands are ranked in descending order by expression specificity in the source population on the left-hand side and receptors ranked in descending order of expression specificity in the target population on the right-hand side. A line segment connects the ligands to receptors of interacting pairs. The higher the “rung of the ladder”, the more specific the ligand-receptor interaction.
Statistics
Measures of anastomosis (dual-positive and ‘yellow’ lumen structures, cross-sectional area, and structure number) were compared by Student’s t-test or two-way ANOVA as indicated in each experiment.
Supplementary Material
ACKNOWLEDGEMENTS
We would like to thank Drs. V. Patel (UTSW), H. Zhu (UTSW), and D. Bryant (U. Glasgow) for helpful comments and feedback. We thank M. Martinez and B. Felan for assistance with preliminary experiments. This work was supported by NIH RC2DK125960, UC2DK126021, P30DK079328, and the Carolyn R. Bacon Distinguished Professorship in Medical Science and Education (DKM).
Footnotes
DECLARATION OF INTERESTS
The authors declare no competing interests.
References
- 1.Moore RA. The total number of glomeruli in the normal human kidney. The Anatomical Record. 1931;48(1):153–68. [Google Scholar]
- 2.Nyengaard JR, Bendtsen TF. Glomerular number and size in relation to age, kidney weight, and body surface in normal man. Anat Rec. 1992;232(2):194–201. [DOI] [PubMed] [Google Scholar]
- 3.Galarreta CI, Grantham JJ, Forbes MS, Maser RL, Wallace DP, Chevalier RL. Tubular obstruction leads to progressive proximal tubular injury and atubular glomeruli in polycystic kidney disease. Am J Pathol. 2014;184(7):1957–66. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Evan AP, Tanner GA, Blomgren wttaoP, Knopp LC. Proximal tubule morphology after single nephron obstruction in the rat kidney. Kidney International. 1986;30(6):818–27. [DOI] [PubMed] [Google Scholar]
- 5.Nishinakamura R, Sharmin S, Taguchi A. Induction of nephron progenitors and glomeruli from human pluripotent stem cells. Pediatric Nephrology. 2017;32(2):195–200. [DOI] [PubMed] [Google Scholar]
- 6.Garreta E, Prado P, Tarantino C, Oria R, Fanlo L, Martí E, et al. Fine tuning the extracellular environment accelerates the derivation of kidney organoids from human pluripotent stem cells. Nature materials. 2019;18(4):397–405. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Tsujimoto H, Kasahara T, Sueta S-i, Araoka T, Sakamoto S, Okada C, et al. A Modular Differentiation System Maps Multiple Human Kidney Lineages from Pluripotent Stem Cells. Cell Reports. 2020;31(1):107476. [DOI] [PubMed] [Google Scholar]
- 8.Gupta AK, Ivancic DZ, Naved BA, Wertheim JA, Oxburgh L. An efficient method to generate kidney organoids at the air-liquid interface. J Biol Methods. 2021;8(2):e150. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Wilson MH, Veach RA, Luo W, Welch RC, Roy S, Fissell WH. Genome Engineering Renal Epithelial Cells for Enhanced Volume Transport Function. Cell Mol Bioeng. 2020;13(1):17–26. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Sharmin S, Taguchi A, Kaku Y, Yoshimura Y, Ohmori T, Sakuma T, et al. Human Induced Pluripotent Stem Cell-Derived Podocytes Mature into Vascularized Glomeruli upon Experimental Transplantation. Journal of the American Society of Nephrology. 2016;27(6):1778–91. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Homan KA, Gupta N, Kroll KT, Kolesky DB, Skylar-Scott M, Miyoshi T, et al. Flow-enhanced vascularization and maturation of kidney organoids in vitro. Nature Methods. 2019;16(3):255-+. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Palmer MA, Nerger BA, Goodwin K, Sudhakar A, Lemke SB, Ravindran PT, et al. Stress ball morphogenesis: How the lizard builds its lung. Science Advances. 2021;7(52):eabk0161. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Ryan AR, England AR, Chaney CP, Cowdin MA, Hiltabidle M, Daniel E, et al. Vascular deficiencies in renal organoids and ex vivo kidney organogenesis. Developmental Biology. 2021;477:98–116. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Morizane R, Lam AQ, Freedman BS, Kishi S, Valerius MT, Bonventre JV. Nephron organoids derived from human pluripotent stem cells model kidney development and injury. Nature Biotechnology. 2015;33(11):1193–200. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Freedman BS, Brooks CR, Lam AQ, Fu H, Morizane R, Agrawal V, et al. Modelling kidney disease with CRISPR-mutant kidney organoids derived from human pluripotent epiblast spheroids. Nat Commun. 2015;6:8715. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Howden SE, Little MH. Generating Kidney Organoids from Human Pluripotent Stem Cells Using Defined Conditions. Methods Mol Biol. 2020;2155:183–92. [DOI] [PubMed] [Google Scholar]
- 17.Takasato M, Er PX, Chiu HS, Little MH. Generation of kidney organoids from human pluripotent stem cells. Nat Protoc. 2016;11(9):1681–92. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Takasato M, Er PX, Chiu HS, Maier B, Baillie GJ, Ferguson C, et al. Kidney organoids from human iPS cells contain multiple lineages and model human nephrogenesis. Nature. 2015;526(7574):564–8. [DOI] [PubMed] [Google Scholar]
- 19.Marciano DK. A holey pursuit: lumen formation in the developing kidney. Pediatr Nephrol. 2017;32(1):7–20. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Kao RM, Vasilyev A, Miyawaki A, Drummond IA, McMahon AP. Invasion of distal nephron precursors associates with tubular interconnection during nephrogenesis. J Am Soc Nephrol. 2012;23(10):1682–90. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Yang Z, Zimmerman S, Brakeman PR, Beaudoin GM, Reichardt LF, Marciano DK. De novo lumen formation and elongation in the developing nephron: a central role for afadin in apical polarity. Development. 2013;140(8):1774. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Brunskill EW, Park JS, Chung E, Chen F, Magella B, Potter SS. Single cell dissection of early kidney development: multilineage priming. Development. 2014;141(15):3093–101. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Lawlor KT, Zappia L, Lefevre J, Park J-S, Hamilton NA, Oshlack A, et al. Nephron progenitor commitment is a stochastic process influenced by cell migration. eLife. 2019;8:e41156. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Lindström NO, Guo J, Kim AD, Tran T, Guo Q, De Sena Brandine G, et al. Conserved and Divergent Features of Mesenchymal Progenitor Cell Types within the Cortical Nephrogenic Niche of the Human and Mouse Kidney. Journal of the American Society of Nephrology. 2018;29(3):806. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Taguchi A, Kaku Y, Ohmori T, Sharmin S, Ogawa M, Sasaki H, et al. Redefining the In Vivo Origin of Metanephric Nephron Progenitors Enables Generation of Complex Kidney Structures from Pluripotent Stem Cells. Cell Stem Cell. 2014;14(1):53–67. [DOI] [PubMed] [Google Scholar]
- 26.Lindström NO, Tran T, Guo J, Rutledge E, Parvez RK, Thornton ME, et al. Conserved and Divergent Molecular and Anatomic Features of Human and Mouse Nephron Patterning. Journal of the American Society of Nephrology. 2018;29(3):825. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Kanwar YS, Ota K, Yang Q, Wada J, Kashihara N, Tian Y, et al. Role of membrane-type matrix metalloproteinase 1 (MT-1-MMP), MMP-2, and its inhibitor in nephrogenesis. Am J Physiol. 1999;277(6):F934–47. [DOI] [PubMed] [Google Scholar]
- 28.Lelongt B, Bengatta S, Ronco P. Role of matrix metalloproteinase-9 (MMP-9) in kidney development and injury. Kidney International. 2005;68(5):1963–4. [Google Scholar]
- 29.Muller U, Brandli AW. Cell adhesion molecules and extracellular-matrix constituents in kidney development and disease. Journal of Cell Science. 1999;112(22):3855–67. [DOI] [PubMed] [Google Scholar]
- 30.Das A, Tanigawa S, Karner CM, Xin M, Lum L, Chen C, et al. Stromal-epithelial crosstalk regulates kidney progenitor cell differentiation. Nat Cell Biol. 2013;15(9):1035–44. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Samakovlis C, Manning G, Steneberg P, Hacohen N, Cantera R, Krasnow MA. Genetic control of epithelial tube fusion during Drosophila tracheal development. Development. 1996;122(11):3531–6. [DOI] [PubMed] [Google Scholar]
- 32.Palmer MA, Nelson CM. Fusion of airways during avian lung development constitutes a novel mechanism for the formation of continuous lumena in multicellular epithelia. Developmental Dynamics. 2020;249(11):1318–33. [DOI] [PubMed] [Google Scholar]
- 33.Kamei CN, Gallegos TF, Liu Y, Hukriede N, Drummond IA. Wnt signaling mediates new nephron formation during zebrafish kidney regeneration. Development. 2019;146(8). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Combes AN, Phipson B, Lawlor KT, Dorison A, Patrick R, Zappia L, et al. Single cell analysis of the developing mouse kidney provides deeper insight into marker gene expression and ligand-receptor crosstalk. Development. 2019;146(12). [DOI] [PubMed] [Google Scholar]
- 35.England AR, Chaney CP, Das A, Patel M, Malewska A, Armendariz D, et al. Identification and characterization of cellular heterogeneity within the developing renal interstitium. Development. 2020;147(15). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Chaney CP, Drake KA, Carroll TJ. Integration of Multiple, Diverse Methods to Identify Biologically Significant Marker Genes. J Mol Biol. 2022;434(19):167754. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Ramilowski JA, Goldberg T, Harshbarger J, Kloppman E, Lizio M, Satagopam VP, et al. A draft network of ligand-receptor-mediated multicellular signalling in human. Nature Communications. 2015;6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Martín-Belmonte F, Yu W, Rodríguez-Fraticelli AE, Ewald AJ, Werb Z, Alonso MA, et al. Cell-polarity dynamics controls the mechanism of lumen formation in epithelial morphogenesis. Curr Biol. 2008;18(7):507–13. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Pollack AL, Runyan RB, Mostov KE. Morphogenetic mechanisms of epithelial tubulogenesis: MDCK cell polarity is transiently rearranged without loss of cell-cell contact during scatter factor hepatocyte growth factor-induced tubulogenesis. Developmental Biology. 1998;204(1):64–79. [DOI] [PubMed] [Google Scholar]
- 40.Yu W, O’Brien LE, Wang F, Bourne H, Mostov KE, Zegers MMP. Hepatocyte Growth Factor Switches Orientation of Polarity and Mode of Movement during Morphogenesis of Multicellular Epithelial Structures. Molecular Biology of the Cell. 2003;14(2):748–63. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Kwon SH, Nedvetsky PI, Mostov KE. Transcriptional Profiling Identifies TNS4 Function in Epithelial Tubulogenesis. Current Biology. 2011;21(2):161–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Weidner KM, Sachs M, Birchmeier W. The Met receptor tyrosine kinase transduces motility, proliferation, and morphogenic signals of scatter factor/hepatocyte growth factor in epithelial cells. J Cell Biol. 1993;121(1):145–54. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Lee SL, Dickson RB, Lin CY. Activation of hepatocyte growth factor and urokinase/plasminogen activator by matriptase, an epithelial membrane serine protease. J Biol Chem. 2000;275(47):36720–5. [DOI] [PubMed] [Google Scholar]
- 44.Mostov KE, Deitcher DL. Polymeric immunoglobulin receptor expressed in MDCK cells transcytoses IgA. Cell. 1986;46(4):613–21. [DOI] [PubMed] [Google Scholar]
- 45.Hiremath C, Gao L, Geshow K, Patterson Q, Barlow H, Cleaver O, et al. Rap1 regulates lumen continuity via Afadin in renal epithelia. Dev Biol. 2023;501:20–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Fernández D, Larrucea S, Nowakowski A, Pericacho M, Parrilla R, Ayuso MS. Release of podocalyxin into the extracellular space: Role of metalloproteinases. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 2011;1813(8):1504–10. [DOI] [PubMed] [Google Scholar]
- 47.Gao L, Yang Z, Hiremath C, Zimmerman SE, Long B, Brakeman PR, et al. Afadin orients cell division to position the tubule lumen in developing renal tubules. Development (Cambridge, England). 2017;144(19):3511–20. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Santos OFP, Nigam SK. Hgf-Induced Tubulogenesis and Branching of Epithelial-Cells Is Modulated by Extracellular-Matrix and Tgf-Beta. Developmental Biology. 1993;160(2):293–302. [DOI] [PubMed] [Google Scholar]
- 49.Khoury H, Naujokas MA, Zuo D, Sangwan V, Frigault MM, Petkiewicz S, et al. HGF Converts ErbB2/Neu Epithelial Morphogenesis to Cell Invasion. Molecular Biology of the Cell. 2005;16(2):550–61. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Kajiwara K, Yamano S, Aoki K, Okuzaki D, Matsumoto K, Okada M. CDCP1 promotes compensatory renal growth by integrating Src and Met signaling. Life Science Alliance. 2021;4(4):e202000832. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Montesano R, Matsumoto K, Nakamura T, Orci L. Identification of a fibroblast-derived epithelial morphogen as hepatocyte growth factor. Cell. 1991;67(5):901–8. [DOI] [PubMed] [Google Scholar]
- 52.Montesano R, Schaller G, Orci L. Induction of epithelial tubular morphogenesis in vitro by fibroblast-derived soluble factors. Cell. 1991;66(4):697–711. [DOI] [PubMed] [Google Scholar]
- 53.Boccaccio C, Ando M, Tamagnone L, Bardelli A, Michieli P, Battistini C, et al. Induction of epithelial tubules by growth factor HGF depends on the STAT pathway. Nature. 1998;391(6664):285–8. [DOI] [PubMed] [Google Scholar]
- 54.O’Brien LE, Tang K, Kats ES, Schutz-Geschwender A, Lipschutz JH, Mostov KE. ERK and MMPs Sequentially Regulate Distinct Stages of Epithelial Tubule Development. Developmental Cell. 2004;7(1):21–32. [DOI] [PubMed] [Google Scholar]
- 55.Syed ZA, Yin W, Hughes K, Gill JN, Shi R, Clifford JL. HGF/c-met/Stat3 signaling during skin tumor cell invasion: indications for a positive feedback loop. BMC Cancer. 2011;11:180. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Hino N, Matsuda K, Jikko Y, Maryu G, Sakai K, Imamura R, et al. A feedback loop between lamellipodial extension and HGF-ERK signaling specifies leader cells during collective cell migration. Dev Cell. 2022;57(19):2290–304 e7. [DOI] [PubMed] [Google Scholar]
- 57.Pohl M, Sakurai H, Bush KT, Nigam SK. Matrix metalloproteinases and their inhibitors regulate in vitro ureteric bud branching morphogenesis. Am J Physiol Renal Physiol. 2000;279(5):F891–900. [DOI] [PubMed] [Google Scholar]
- 58.Li X, Ma D, Zha X, Quan D, Pan D, Sun M, et al. Ilomastat, a synthetic inhibitor of MMPs, prevents lung injury induced by gamma-ray irradiation in mice. Oncotarget. 2017;8(37):60789–808. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Shao X, Somlo S, Igarashi P. Epithelial-specific Cre/lox recombination in the developing kidney and genitourinary tract. J Am Soc Nephrol. 2002;13(7):1837–46. [DOI] [PubMed] [Google Scholar]
- 60.Madisen L, Zwingman TA, Sunkin SM, Oh SW, Zariwala HA, Gu H, et al. A robust and high-throughput Cre reporting and characterization system for the whole mouse brain. Nat Neurosci. 2010;13(1):133–40. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Chambers BE, Wingert RA. Mechanisms of Nephrogenesis Revealed by Zebrafish Chemical Screen: Prostaglandin Signaling Modulates Nephron Progenitor Fate. Nephron. 2019;143(1):68–76. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Kamei CN, Liu Y, Drummond IA. Kidney Regeneration in Adult Zebrafish by Gentamicin Induced Injury. Jove-Journal of Visualized Experiments. 2015(102). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Gallegos TF, Kamei CN, Rohly M, Drummond IA. Fibroblast growth factor signaling mediates progenitor cell aggregation and nephron regeneration in the adult zebrafish kidney. Developmental Biology. 2019;454(1):44–51. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Lelongt B, Trugnan G, Murphy G, Ronco PM. Matrix Metalloproteinases MMP2 and MMP9 Are Produced in Early Stages of Kidney Morphogenesis but Only MMP9 Is Required for Renal Organogenesis In Vitro. Journal of Cell Biology. 1997;136(6):1363–73. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Balkovetz DF, Edward R. Gerrard J, Li S, Johnson D, Lee J, Tobias JW, et al. Gene expression alterations during HGF-induced dedifferentiation of a renal tubular epithelial cell line (MDCK) using a novel canine DNA microarray. American Journal of Physiology-Renal Physiology. 2004;286(4):F702–F10. [DOI] [PubMed] [Google Scholar]
- 66.Sorce B, Escobedo C, Toyoda Y, Stewart MP, Cattin CJ, Newton R, et al. Mitotic cells contract actomyosin cortex and generate pressure to round against or escape epithelial confinement. Nature Communications. 2015;6(1):8872. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Kadono Y, Shibahara K, Namiki M, Watanabe Y, Seiki M, Sato H. Membrane type 1-matrix metalloproteinase is involved in the formation of hepatocyte growth factor/scatter factor-induced branching tubules in madin-darby canine kidney epithelial cells. Biochem Biophys Res Commun. 1998;251(3):681–7. [DOI] [PubMed] [Google Scholar]
- 68.Gong R, Rifai A, Tolbert EM, Centracchio JN, Dworkin LD. Hepatocyte growth factor modulates matrix metalloproteinases and plasminogen activator/plasmin proteolytic pathways in progressive renal interstitial fibrosis. J Am Soc Nephrol. 2003;14(12):3047–60. [DOI] [PubMed] [Google Scholar]
- 69.Bladt F, Riethmacher D, Isenmann S, Aguzzi A, Birchmeier C. Essential role for the c-met receptor in the migration of myogenic precursor cells into the limb bud. Nature. 1995;376(6543):768–71. [DOI] [PubMed] [Google Scholar]
- 70.Uehara Y, Minowa O, Mori C, Shiota K, Kuno J, Noda T, et al. Placental defect and embryonic lethality in mice lacking hepatocyte growth factor/scatter factor. Nature. 1995;373(6516):702–5. [DOI] [PubMed] [Google Scholar]
- 71.Schmidt C, Bladt F, Goedecke S, Brinkmann V, Zschiesche W, Sharpe M, et al. Scatter factor/hepatocyte growth factor is essential for liver development. Nature. 1995;373(6516):699–702. [DOI] [PubMed] [Google Scholar]
- 72.Santos OF, Barros EJ, Yang XM, Matsumoto K, Nakamura T, Park M, et al. Involvement of hepatocyte growth factor in kidney development. Dev Biol. 1994;163(2):525–9. [DOI] [PubMed] [Google Scholar]
- 73.Woolf AS, Kolatsi-Joannou M, Hardman P, Andermarcher E, Moorby C, Fine LG, et al. Roles of hepatocyte growth factor/scatter factor and the met receptor in the early development of the metanephros. J Cell Biol. 1995;128(1–2):171–84. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74.Sakurai H, Tsukamoto T, Kjelsberg CA, Cantley LG, Nigam SK. EGF receptor ligands are a large fraction of in vitro branching morphogens secreted by embryonic kidney. Am J Physiol. 1997;273(3 Pt 2):F463–72. [DOI] [PubMed] [Google Scholar]
- 75.Ishibe S, Karihaloo A, Ma H, Zhang J, Marlier A, Mitobe M, et al. Met and the epidermal growth factor receptor act cooperatively to regulate final nephron number and maintain collecting duct morphology. Development. 2009;136(2):337–45. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 76.Costantini F. GDNF/Ret signaling and renal branching morphogenesis: From mesenchymal signals to epithelial cell behaviors. Organogenesis. 2010;6(4):252–62. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77.Fisher CE, Michael L, Barnett MW, Davies JA. Erk MAP kinase regulates branching morphogenesis in the developing mouse kidney. Development. 2001;128(21):4329–38. [DOI] [PubMed] [Google Scholar]
- 78.Ihermann-Hella A, Lume M, Miinalainen IJ, Pirttiniemi A, Gui Y, Peranen J, et al. Mitogen-activated protein kinase (MAPK) pathway regulates branching by remodeling epithelial cell adhesion. PLoS Genet. 2014;10(3):e1004193. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 79.Harari-Steinberg O, Omer D, Gnatek Y, Pleniceanu O, Goldberg S, Cohen-Zontag O, et al. Ex Vivo Expanded 3D Human Kidney Spheres Engraft Long Term and Repair Chronic Renal Injury in Mice. Cell Reports. 2020;30(3):852–69.e4. [DOI] [PubMed] [Google Scholar]
- 80.Low JH, Li P, Chew EGY, Zhou BR, Suzuki K, Zhang T, et al. Generation of Human PSC-Derived Kidney Organoids with Patterned Nephron Segments and a De Novo Vascular Network. Cell Stem Cell. 2019;25(3):373-+. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 81.van den Berg CW, Ritsma L, Avramut MC, Wiersma LE, van den Berg BM, Leuning DG, et al. Renal Subcapsular Transplantation of PSC-Derived Kidney Organoids Induces Neo-vasculogenesis and Significant Glomerular and Tubular Maturation In Vivo. Stem Cell Reports. 2018;10(3):751–65. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 82.Marciano DK, Brakeman PR, Lee CZ, Spivak N, Eastburn DJ, Bryant DM, et al. p120 catenin is required for normal renal tubulogenesis and glomerulogenesis. Development. 2011;138(10):2099–109. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 83.Lun AT, McCarthy DJ, Marioni JC. A step-by-step workflow for low-level analysis of single-cell RNA-seq data with Bioconductor. F1000Res. 2016;5:2122. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 84.Lun ATL, Pages H, Smith ML. beachmat: A Bioconductor C++ API for accessing high-throughput biological data from a variety of R matrix types. PLoS Comput Biol. 2018;14(5):e1006135. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 85.Lun AT, Bach K, Marioni JC. Pooling across cells to normalize single-cell RNA sequencing data with many zero counts. Genome Biol. 2016;17:75. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 86.Haghverdi L, Lun ATL, Morgan MD, Marioni JC. Batch effects in single-cell RNA-sequencing data are corrected by matching mutual nearest neighbors. Nat Biotechnol. 2018;36(5):421–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 87.Xu C, Su Z. Identification of cell types from single-cell transcriptomes using a novel clustering method. Bioinformatics. 2015;31(12):1974–80. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 88.Ramilowski JA, Goldberg T, Harshbarger J, Kloppmann E, Lizio M, Satagopam VP, et al. A draft network of ligand-receptor-mediated multicellular signalling in human. Nat Commun. 2015;6:7866. [DOI] [PMC free article] [PubMed] [Google Scholar]
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