Smooth muscle is an essential component of the intestine, both to maintain its structure and produce peristaltic and segmentation movements. However, very little is known about other putative roles that smooth muscle cells may have. Here, we show that smooth muscle cells may be the dominant suppliers of BMP antagonists, which are niche factors essential for intestinal stem cell maintenance. Furthermore, muscle-derived factors render epithelium reparative and fetal-like, which includes heightened YAP activity. Mechanistically, we find that the membrane-bound matrix metalloproteinase MMP17, which is exclusively expressed by smooth muscle cells, is required for intestinal epithelial repair after inflammation- or irradiation-induced injury. Furthermore, we propose that MMP17 affects intestinal epithelial reprogramming after damage indirectly by cleaving diffusible factor(s) such as the matricellular protein PERIOSTIN. Together, we identify an important signaling axis that establishes a role for smooth muscle cells as modulators of intestinal epithelial regeneration and the intestinal stem cell niche.
The intestinal epithelium consists of a single layer of cells that is important for the uptake of nutrients as well as for providing a barrier to protect from pathogens. During homeostasis, intestinal epithelial cells are all derived from LGR5+ intestinal stem cells (ISCs) that reside at the bottom of crypts1. Upon injury, however, or after depletion of LGR5+ cells, LGR5- cells can rapidly regain LGR5 expression and thus dedifferentiate to repopulate the crypt bottoms2,3. In addition, within this dedifferentiation process, an epithelial reparative state exists, which is fetal-like, and depends on reprogramming by YAP4,5, and is further characterized by markers such as SCA-1 and HOPX4,6,7
Adult intestinal epithelial (stem cell) maintenance relies on a variety of niche factors such as WNTs, R-spondins (RSPOs), Bone morphogenic proteins (BMPs), and prostaglandins, all of which are expressed by mesenchymal cell subtypes8,9,10,11,12,13. These mesenchymal cells reside in the intestinal lamina propria between the epithelium and the muscularis mucosae. Here we find several cell types characterized by specific marker expression and ultrastructural features in electron microscopy such as different types of telocytes (FOXL114,15,PDGFRA high), trophocytes (PDGFRA low8), fibroblasts, myofibroblasts (SMA+, Desmin−), and mesenchymal stromal/stem cells16,17. However, intestinal epithelial homeostasis does not solely rely on soluble niche factors. The mechanical or extracellular matrix (ECM) niche is an additional defining factor, for example, by modulating the mechanosensory HIPPO/YAP pathway4,18. In addition, growth factors can interact with, or be embedded within the ECM to modulate their activity. Smooth muscle cells reside in the muscularis mucosae, as a layer underneath the lamina propria, as well as outside of the mucosa in the muscularis propria in two thick layers, circular and longitudinal, and can be distinguished by being SMA and Desmin positive16,17,19. Smooth muscle cells are one of the most prevalent non-epithelial cell types throughout the intestine, yet, their role in providing niche factors or affecting the ECM niche is largely unknown. Nevertheless, smooth-muscle-specific deletion of tumor suppressor genes can result in defective epithelial growth20. Furthermore, it was shown that cells that originated from the smooth-muscle can migrate into the mucosa to aid after injury21. Nevertheless, it is still largely undefined what role adult smooth muscle has in ISC maintenance or during repair after injury.
Matrix metalloproteinases (MMPs) are fundamental ECM regulators, both by modifying ECM components directly and by cleaving growth factors to control their ability to bind the ECM and to the cell22,23,24. MMPs can play various roles in the injured intestine and many MMPs are upregulated in inflammatory bowel disease, likely by the increase in immune cell populations such as neutrophils with high proteolytic activity or in endothelial cells25,26. Thus, inhibition of MMP activity may be an attractive therapeutic target for treating inflammatory bowel disease26,27. Although the role of certain MMPs such as MMP2, MMP7, MMP9, and MT1-MMP are relatively well-studied, the role of other MMPs in intestinal biology is still largely unknown. Here, we show that MMP17, a membrane-bound MMP which is specifically expressed in smooth muscle, is important to maintain optimal ISC stemness during homeostasis, and preserve the regenerative capacity of intestinal epithelium.
Intestinal smooth muscle is a rich source of BMP antagonists
Based on recent indications that fetal intestinal muscle is a provider of niche factors28, we first isolated the smooth muscle tissue from the muscularis propria (circular and longitudinal muscle) and part of the muscularis mucosae of adult mouse colon and performed RNA-seq comparing it to isolated colonic crypts (Figs. 1a, b, S1a, S1b). We found little evidence that intestinal smooth muscle expressed niche factors such as WNTs and RSPOs, or growth factors such as epidermal growth factor (EGF), however, we did find that smooth muscle expresses high levels of factors associated with BMP signaling including Grem1, Grem2, and Chrdnl1 (Figs. 1b, S1b). Fluorescent in situ hybridization (FISH) confirmed high levels of these factors in a muscle-specific manner, in particular, we found enrichment of these factors in the muscularis mucosa that resides in close proximity to the bottom of epithelial crypts (Fig. 1c).
Intestinal smooth muscle provides niche factors that render organoid growth independent of NOGGIN
Intestinal organoids (including small-intestinal organoids derived from the duodenum (SI organoids) and colon-derived organoids (colonoids)) are self-organizing in vitro epithelial structures that are widely used to model in vivo processes29,30,31. To test for a functional role of smooth muscle cells in providing niche factors, we exposed SI organoids to supernatant from muscle explants (muscle-SN) that completely lacked the mucosa (Fig. S1a). We found that organoids exposed to muscle-SN grew 2–3 times larger than in standard conditions and had a predominantly spheroid morphology (Fig. 1d–g). SI organoids rely on the supplementation of 3 factors epithelium itself does not express sufficiently: EGF, NOGGIN, and RSPO1 (ENR). Thus, we next tested whether muscle-SN could replace these factors. We found that muscle-SN was unable to replace RSPO1, as SI organoids failed to grow in RSPO1-deficient medium irrespective of muscle-SN supplementation (Fig. 1d, e). In contrast, we found that muscle-SN was able to substitute for the BMP antagonist NOGGIN (Fig. 1d, e). This is in support of our RNA-seq data in which we observed low Rspo1/2/3 levels, but ample expression of BMP antagonists such as Grem1 in smooth muscle tissue (Figs. 1b, c, S1b). ENR medium supports self-renewal and differentiation of SI organoids that acquire a typical structure including proliferative budding crypts and non-proliferative villus regions (Fig. 1f, g). In contrast, muscle-SN exposed SI organoids lacked crypts and consisted of mainly proliferative cells that were equally distributed along the spheroid (Fig. 1f, g). Our findings are not unique for colonic smooth muscle explants as we obtained similar results with muscle-SN derived from the small intestine (Figs. S2a, S2b).
MMP17 is a smooth muscle-specific MMP that is enriched in the muscularis mucosa
We find that intestinal smooth muscle expresses and secretes soluble niche factors that can mediate epithelial organoid growth (Fig. 1). Next, we wished to determine whether smooth muscle may also affect the ECM. The ECM acts on ISCs by providing a ‘mechanical’ niche as well as by being a reservoir of ECM-bound niche factors23,32,33. MMPs are known as important modulators of the ECM22,34. By directly comparing epithelial crypt and smooth muscle we found several MMPs to be specifically expressed in smooth muscle tissue (Fig. 2a), including Mmp17 (also known as MT4-MMP), a previously identified regulator of muscle growth factors and its surrounding ECM24. Therefore, we analyzed Mmp17 expression in intestinal tissue by using the KO/KI mouse strain Mmp17LacZ/LacZ (referred to as KO mice from hereon)35. We used LacZ staining (Fig. S3a) or a specific anti β-gal antibody to detect Mmp17 promoter activity in the intestine from Mmp17LacZ/+ mice. As shown in Fig. 2b, MMP17+ cells are exclusively smooth muscle cells, SMA+ and DESMIN+ (Fig. 2b, Fig. S3b). Of these, we observed more smooth muscle MMP17+ cells in the muscularis mucosae compared to the muscularis propria (longitudinal and circular muscle layers) (Fig. 2c). The expression pattern is reminiscent of the expression of BMP antagonists (Fig. 1c), and indeed, using FISH, we find that Mmp17 has an overlapping expression pattern with these BMP antagonists including enrichment in the muscularis mucosa (Fig. 2d).
Muscle-specific MMP17 controls BMP signaling in crypts
Since MMP17 is enriched in the muscularis mucosa smooth muscle cells where its expression correlates with BMP antagonists, we asked about the possible impact of MMP17 loss in crypts. To unbiasedly gain mechanistic insight, we performed RNA-seq comparing WT and KO colonic smooth muscle and crypts. Mmp17 is expressed in smooth muscle cells but not in the epithelium (Fig. 2), and we were surprised to find that only 42 genes were dysregulated in the KO smooth muscle whereas 191 genes were dysregulated in KO crypts compared to their WT counterparts (Fig. 3a). In support, principal component analysis (PCA) was unable to distinguish WT from KO smooth muscle, whereas KO crypts had a different distribution compared to WT crypts (Fig. 3b). Furthermore, Mmp17 absence in intestinal smooth muscle cells did not result in any structural alteration at the smooth muscle level (Fig. S4a). Upon closer examination, using the online gene enrichment tool Enrichr36,37, we found SMAD4 as the top TF associated with upregulated genes in KO crypts (Figs. 3c, S4c). To test whether increased SMAD4 target genes in KO crypts were a direct result of SMAD4 protein levels, we performed immunostaining and western blot for SMAD4. Corroborating our unbiased transcriptome analysis, we found heightened nuclear localization of SMAD4 in the bottom of KO crypts compared to WT crypts, and increased levels of total SMAD4 in KO mucosa (Fig. 3d, e). The nuclear translocation or overall accumulation of SMAD4 is the result of cellular activation by TGFβ family members, including BMPs that specifically induce SMAD1/5/9 phosphorylation38. Indeed, we found pSMAD1/5/9 to be particularly enriched in the bottom of KO crypts compared to WT crypts (Fig. 3f), which suggests altered BMP signaling in KO intestinal epithelium.
MMP17 regulates the ECM-ISC niche necessary for epithelial de novo crypt formation
SMAD signaling is essential to maintain ISCs, which is exemplified by the requirement of the BMP antagonist NOGGIN in intestinal organoid maintenance29. To test if MMP17 affects ISCs, we quantified levels of the ISC markers Lgr5 and Olfm4 by ISH. We found that KO intestinal tissue had lower Lgr5 and Olfm4 levels compared to WT tissue in both the small and large intestines (Fig. 4a, b). In addition, decreased ISC marker gene expression was echoed by reduced colonoid and SI organoid formation efficiency comparing KO with WT crypts (Figs. 4c and S5, respectively). Importantly, colonoids splitting, or culturing with excessive niche factors (WNR medium), resulted in equal organoid efficiency between WT and KO cultures (Fig. 4d). These data indicate that the reduced capacity of KO crypts to form organoids relied on the in vivo niche rather than a consequence of an intrinsic epithelial defect. To formally test whether MMP17 controls the ‘ECM niche’, we utilized a recently developed regeneration assay39 in which small intestinal epithelium was cultured on decellularized small intestinal extracellular matrix (iECM). Unlike Matrigel-based closed format organoids, here, organoids engraft on the iECM by first generating an epithelial monolayer39. After initial attachment in a monolayer, de novo crypt formation occurs on former crypt pits, and thus is surrounded by the tissue native ECM. Since the reparative growth of the epithelium does not rely on Matrigel during the culture on iECM—this system was used to investigate the role of the extracellular niche on ISC function ex vivo39. When we cultured wild-type epithelium on WT and KO iECM, we observed a robust reduction of the de novo crypt formation on KO iECM (Fig. 4e–g). This suggests a poor regeneration supporting capacity of KO iECM.
MMP17 is required for intestinal repair after inflammation or radiation-induced injury
De novo crypt formation is important during epithelial repair which is needed upon injury, for example after the damage inflicted by inflammation or due to irradiation. To test if smooth muscle, and in particular MMP17, could play a role in intestinal injury responses, we used dextran sulfate sodium (DSS) to induce experimental colitis and compare WT to KO littermates (Fig. 5a). On day 5, we found that both WT and KO mice had indistinguishable features of disease indicating that damage was induced equally (Fig. S6a–e). Of note, during DSS, MMP17 (BGal) expression remained limited to smooth muscle cells as CD45+ infiltrating cells were BGal negative (Fig. S6f). After 5 days, DSS was replaced by regular drinking water to allow for intestinal repair, which is initiated rapidly and requires reprogramming of the intestinal epithelium4,9. Two days after DSS, KO mice had shorter colons and sustained hemorrhage, including an increased presence of blood in stool compared to WT mice (Fig. 5b, c). Furthermore, other disease features were also exacerbated in KO mice compared to WT mice. We found that KO mice had a higher injury score than WT mice, as was determined using a genotype-blind injury classification based on H&E images (Fig. 5d, e). H&E analysis further revealed a larger area of ulcerated mucosa and lower presence of epithelial crypts in KO mice compared to WT mice (Fig. 5e, f). In addition, we found a significant reduction in the proliferative epithelium in KO mice (Fig. 5g, h), suggesting that epithelial reprogramming towards a reparative state relies on MMP17. This reprogramming it is known to rely on the activation of YAP signaling, which is characterized by an induction of (nuclear) YAP4,5. Indeed, we observe YAP-high reparative epithelium in WT tissues, however, this was nearly absent in KO tissue (Fig. 5i). This suggest that KO epithelium is unable to properly make the transition from normal to a reparative state.
Next, we performed an alternative non-inflammatory injury model based on whole-body irradiation. Indeed, a single dose of ionizing radiation (10 Gy) induces equal apoptosis in WT and KO intestines (Fig. S6g). As custom in this model, WT animals regained crypt structures 3 days after irradiation, which was delayed in KO animals and was only observed by day 6 (Fig. 5j, k). A genotype-blinded evaluation of damage features in H&E images showed increased signs of damage in small intestines of KO mice compared to WT mice 3 and 6 days after irradiation (Figs. 5l and S6h). Together, these data suggest that muscle-specific MMP17 plays a role in intestinal repair processes after damage.
Mmp17 loss results in long-term reparative epithelial defects and increased tumor risk
We wondered whether the intestines of KO mice would eventually heal, and thus we evaluated weight gain for a prolonged time after DSS administration (Fig. 6a, b). WT mice rapidly returned to their original weight; however, KO mice never fully regained their starting weight (Fig. 6b for females, Fig. S7a for males). In support, while WT mice largely returned to homeostatic conditions at end point, KO mice retained shorter colons, experienced sustained blood in stool, still had areas of unhealed ulcers in the epithelial surface and had higher injury scores compared to WT mice (Fig. 6c–h). In addition, we detected the presence of crypt distortions named reactive atypia, and these morphological changes were predominantly found in KO mice (Figs. 6f, g, S7b). These morphological changes resemble those found in intestinal neoplastic lesions, so we next decided to evaluate the impact of Mmp17 loss in the initiation and progression of intestinal tumors using the ApcMin mouse model. ApcMin mice develop tumors primarily in the small intestinal epithelium40. We found that loss of Mmp17 predispose mice to the formation of a higher number of tumors both quantified macroscopically (Fig. 6i), and microscopically using H&E-stained sections (Fig. 6j). We did not observe differences in tumor diameter (Fig. S7c) suggesting that MMP17 mediates tumor initiation but not tumor progression. In support, WT and KO tumors were indistinguishable in terms of β-CATENIN and OLFM4 distribution (Fig. S7d). Of note, Mmp17 expression was restricted to muscle cells also in tumor areas (Fig. S7e). In sum, our data indicate that MMP17 is required for short and long-term intestinal epithelial repair and its loss predisposes to intestinal neoplastic alterations.
Muscle-SN induces a reparative epithelial state in organoids via activation of YAP, and is sufficient to rescue regenerative growth of WT epithelium on KO iECM
Since we observed that smooth muscle MMP17 is essential for intestinal repair we wondered whether muscle indeed could promote epithelial reprogramming towards a reparative state. We found that muscle-SN can replace NOGGIN in the culture media, and muscle-SN treated organoids grow as large spheroids (Fig. 1). Organoid spheroid growth can either be characterized as reparative that is associated with fetal-like gene programs, such as organoids derived from SCA-1+ cells7, or it can be the result of increased WNT signaling such as upon treatment with the GSK3 inhibitor CHIR41. These two different organoid spheroid states are on opposite ends when it concerns ISCs; a reparative state is characterized by a loss of LGR5 + ISCs whereas ISCs expand upon CHIR treatment4,7. To determine what type of spheroids are induced by muscle-SN, we performed RNA-seq comparing normal organoids to muscle-SN treated SI organoids (Fig. 7a). Using gene set enrichment analysis, we found a distinct enrichment of gene sets associated with fetal and reparative programs in muscle-SN treated SI organoids4,7 (Fig. 7b). Intestinal epithelial repair programs are coupled with YAP signaling and, indeed, an intestinal epithelial YAP signature gene set was also enriched in muscle-SN treated SI organoids5 (Fig. 7b). In contrast, genes associated with LGR5+ cells42, as well as genes upregulated in SI organoids treated with CHIR41, were downregulated in muscle-SN treated organoids (Fig. 7b, Supplementary Data 1 includes all gene sets). In support, we found that YAP was localized nuclear throughout muscle-SN induced spheroids, whereas it was cytoplasmic in the center of budding SI organoids (Fig. 7c). In addition, in a side-by-side comparison we find that muscle-SN induces larger spheroids than treatment with CHIR, and that treatment with the YAP inhibitor Verteporfin completely abolished muscle-SN driven growth (Fig. 7d). Together, we conclude that muscle-SN induces spheroid growth that is associated with reparative/fetal-like reprogramming that may be mediated by YAP.
Next, we examined whether muscle-SN or recombinant MMP17 (rMMP17) could rescue the impaired regenerative growth of epithelium on KO iECM (Fig. 4e, f). We tested the regenerative growth on WT and KO iECM by supplementing it with muscle-SN derived from WT and KO mice or rMMP17 (Fig. 7e). We found that WT, but not KO, muscle-SN increased the crypt formation on KO iECM (Fig. 7e). Similarly, rMMP17 incubation led to increased crypt formation on KO iECM (Fig. 7e). In contrast, the different treatments of WT iECM did not affect de novo crypt formation (Fig. 7e). Taken together, these findings highlight that the enzymatic activity of MMP17 is necessary for the reparative growth of intestinal epithelium.
PERIOSTIN is a muscle-derived factor cleaved by MMP17 and that can activate YAP and induce organoid growth
MMP17 is expressed by intestinal smooth muscle cells and is required to allow for epithelial repair in vivo (Figs. 5, 6). Furthermore, muscle-SN is able to reprogram epithelium towards a reparative state in vitro and can stimulate de novo crypt formation (Fig. 7). We, therefore, hypothesize that MMP17 cleaves a smooth muscle-derived factor that facilitates epithelial reprogramming that is needed for repair. To identify said factor, we examined smooth muscle-derived proteins by performing mass-spectrometry on muscle-SN, and we detected 550 proteins (Supplementary Data 2). We next curated this list to only display proteins known to be growth/niche factors and/or extracellular proteins (Fig. 8a). Among these was PERIOSTIN (POSTN), which is a matricellular protein that is highly expressed in smooth muscle (Fig. 8b). We previously identified a different matricellular protein, OSTEOPONTIN (OPN), as an MMP17 substrate24 (Fig. S8a). Of note, POSTN can serve as a ligand for ITGAV to activate AKT and YAP signaling43,44,45. Further, POSTN has been proposed to capture BMP members in the ECM46. These features may be relevant for biological processes we identified to be affected by MMP17. Co-incubation of human POSTN with MMP17 led to several POSTN fragments indicating MMP17 is able to cleave POSTN (Fig. 8c). In addition, we examined POSTN in MMP17-WT and KO smooth muscle and we found a decrease in POSTN fragments in KO muscle samples, suggesting that cleavage of POSTN also occurs in vivo and it is impaired in KO intestines (Fig. 8d). Next, we used mass spectrometry (MS) to identify putative cleavage sites in POSTN after incubation with MMP17. After tryptic digestion we found at least nine cleavage sites that had five or more peptide-spectrum matches and were not caused by tryptic digestion (Figs. 8e, S8b,c). Several of these could explain the presence of the ~25 kDa fragment we found in vivo as all identified cleavage sites are conserved in both mice and human. In order to define which of these cleavage sites could be targeted in vivo, we modeled in silico the interaction between MMP17 active form (membrane-bound MMP17 dimer) and POSTN. As shown in the 3D model of Fig. 8f (and Fig S8c) cleavage site 664 between I and P amino acids was the best-suited candidate, located at MMP17 active site. In addition, three other cleavage sites in the POSTN molecule, 157VN, 291MG, and 793GG, would be accessible for cleavage according to in silico docking. Of note, cleavage of 291MG would expose the Integrin alpha-5 binding motif of POSTN which is located within amino acids 300-314 in the FAS2 domain47. Finally, we found that POSTN itself modestly induces SI organoid growth that is associated with the induction of Ki67 and nuclear YAP (Fig. 8g–j).
The role of smooth muscle cells in the intestine, other than in peristalsis, has been largely undefined. However, in a recent preprint, it was found that in early human gut development ACTA2+ muscularis mucosa cells are the major source of WNT, RSPO, and GREM niche factors48. In contrast, in adult mice, there have been various mucosa-resident mesenchymal cell populations described that express Rspo and Wnt genes10,12,13. We here find that smooth muscle cells, and in particular, the ones residing in the muscularis mucosa, are the primary source of BMP antagonists such as Grem1/2 (Fig. 1). The importance of GREMLIN1 as an ICS niche factor was recently determined by an experiment in which Grem1-expressing cells were depleted using the diphtheria-toxin system, which also led to the rapid loss of LGR5+ ISCs8. Based on our results, this experiment would thus have led to the death of practically all muscularis-mucosa smooth muscle cells. Our work here highlights the importance of smooth muscle for providing niche factors important for ISC homeostasis. Thus, future studies are warranted in which niche factors are deleted in a cell-type specific manner to determine the relative importance of each cell type as a niche factor provider.
We find an important role for MMP17 in vivo. We show that KO mice have a reduction of ISC-associated genes in homeostasis (Fig. 4), which may be caused by increased levels of SMAD4 at the bottom of KO crypts (Fig. 3). Indeed, BMP signaling can impair ISC-signature genes by direct repression via SMAD1/4 recruitment of HDAC149. We further identify that MMP17 is required for intestinal epithelial repair after injury, which we potentially link to the ability of MMP17 to cleave POSTN. We hypothesize that MMP17 cleavage of POSTN is necessary upon injury to reprogram epithelial cells in a YAP-dependent manner. Thus, cleavage of POSTN by MMP17 is an activation step in our model. However, there may be other smooth-muscle cell-derived factors in play as POSTN was only able to induce organoid area by 25% compared to double or triple the size by Muscle-SN, even though we observed YAP activation in both (Figs. 7c and 8j). Recently, Ma et al. described a role for POSTN in activating YAP/TAZ through an integrin-FAK-Src pathway using colon cancer cell lines45. In addition, it was found that POSTN can act through Integrin alpha-5 in various cell types43,44. We here extend these findings and show that POSTN can also affect primary non-tumor intestinal epithelial cells (Fig. 8). In addition to this direct role affecting the epithelium, others have shown that POSTN can alter the ECM by binding to a variety of ECM-associated proteins including BMP1, FIBRONECTIN, and TENASCIN-C50. We speculate that through this link with the ECM, cleaved POSTN may broadly affect intestinal homeostasis in vivo, which would be impaired in MMP17-deficient mice such as we observe. In addition, others have also shown that POSTN is cleaved for example by CATHEPSIN K which results in a 35–40 kDa product during bone remodeling51. Finally, Postn-deficient mice have general issues with repair in various tissues52,53. Thus, although the importance of cleavage of POSTN remains not fully comprehended54, it is clear that POSTN plays an important role in reparative processes and the identification of MMP17 as an enzyme that can cleave POSTN can be used in future studies.
MMP17, unlike other MMP members, exert minimal activity against classical ECM components55. So far, only a few bona fide substrates have been described in other tissue environments, such as ADAMTS-456, alphaM integrin57, and two matricellular proteins; OPN24 and POSTN described in this work. We cannot discard the possibility that these or other unidentified MMP17 substrates play a role in ISCs niche regulation or the intestinal response to injury, particularly OPN which expression is increased in patients with inflammatory bowel disease58. Furthermore, in a tumor environment, both ADAMTS4 and OPN are overexpressed in colon cancers59,60,61. Finally, also non-catalytic activities for MMP17 have been described related to tumors62.
To summarize, we discover a previously unappreciated role for intestinal smooth muscle tissue. We find that smooth muscle cells are likely the major contributors of BMP antagonists, which are essential niche factors for the maintenance of ISCs. In addition, we describe an important role for smooth-muscle restricted expression of MMP17, which in vivo is required for epithelial repair. Finally, we provide evidence that MMP17 may act via cleavage of the matricellular protein POSTN, which in itself can induce repair-like features in the intestinal epithelium.
Mmp17−/− mice in the C57BL/6 background have been described previously35. Mice were handled under pathogen-free conditions in accordance with CoMed NTNU institutional guidelines. Experiments were performed following Norwegian legislation on animal protection and were approved by the local governmental animal care committee. Particularly, experimental designs for DSS, irradiation procedures, and ApcMin mice colony handling and tumor evaluation, were approved in advance by Norwegian authorities as stated in FOTS protocols (11842, 15888, and 17072). Mice included in these protocols were carefully monitored daily or weekly to avoid situations of moderate to high pain and comply with ethical procedures established prior to experiment development in agreement with CoMed facility at NTNU. End point protocols were applied when needed. All mice were genotyped by PCR of earclip samples using the following primers: Mt4-mmp SK1 5′-TCAGACACAGCCAGATCAGG-3′ SK2 5′- AGCAACACGGCATCCACTAC-3′ and SK3 5′-AATATGCGAAGTGGACCTGG-3′ and ApcMin: 1. 5′-TTCCACTTTGGCATAAGGC-3′ 2. 5′- GCCATCCCTTCACGTTAG-3′ 3. 5′-TTCTGAGAAAGACAGAAGTTA-3′. Experiments were conducted on mice from 8 weeks to 20 weeks of age.
Small intestine and colon crypt isolation
Small intestinal crypts were isolated and cultured following previously published protocol to generate SI organoids63. Colonoids were cultured according to a published method31. Briefly, 10 first cm of the duodenum or the entire colon, were excised, flushed with cold PBS, and opened longitudinally. The internal surface of the duodenum was scrapped carefully with a coverslip to remove most of the mucus and part of the intestinal villus. Small pieces of duodenum or colon (2–4 mm in length) were cut with scissors and further washed with ice-cold PBS until the supernatant was clear. Next, tissue fragments were incubated in cold 2 mmol/L EDTA chelation buffer, for 30 min (small intestine) to 1 h (colon) at 4 °C. After removal of the EDTA buffer, tissue fragments were vigorously resuspended in cold PBS (small intestine) or cold chelation buffer (colon) using a 10-mL pipette-BSA coated to isolate intestinal crypts. The tissue fragments were allowed to settle down under normal gravity for 1 min, and the supernatant was removed for inspection by inverted microscopy. The resuspension/sedimentation procedure was repeated typically 8 times and the supernatants containing crypts (from wash 1 to 8) were collected in 50-mL Falcon tubes coated with BSA, through a 70 µm cells strainer to remove villi in case of the SI. Isolated crypts were pelleted, washed in PBS, and centrifuged at 200 × g for 3 min at 4 °C to separate crypts from single cells. Crypts were resuspended in 10 ml basal crypt medium (BCM, advanced Dulbecco’s modified Eagle medium -F12 supplemented with penicillin/streptomycin, 10 mM HEPES, 2 mM Glutamax) to quantify its number. After centrifugation and supernatant removal, crypts were resuspended in matrigel (Corning, 734-1101) and plated in P24 well plates (150 to 250 crypts/well) or 8-well ibidi imaging µsildes (80821, Ibidi). Crypts were cultured in ENR (BCM+ factors, explained below).
Intestinal organoid culture
SI organoids were cultured in ENR medium consisting of BCM (advanced Dulbecco’s modified Eagle medium -F12 supplemented with penicillin/streptomycin, 10 mM HEPES, 2 mM Glutamax) + 1× N2 [ThermoFisher Scientific 100×, 17502048], 1× B-27 [ThermoFisher Scientific 50X, 17504044], and 1× N-acetyl-L-cysteine [Sigma, A7250]) and overlaid with ENR factors containing 50 ng/ml of murine EGF [Thermo Fisher Scientific, PMG8041], 20% R-Spondin-CM (conditioned medium, a kind gift from Calvin Kuo, Stanford University School of Medicine, Stanford, CA, USA), 10% Noggin-CM. For colonoids, same medium and reagents were use, plus 65% Wnt-CM (kind gifts from Hans Clevers, Hubrecht Institute, Utrecht, The Netherlands). We also made use of L-WRN (ATCC 3276) cell line conditioned media, which is considered as enriched media due to higher levels of Wnt, R-sponding, and Noggin than in the described ENR. Medium was renewed every other day. For passaging, organoids cultures were washed, and matrigel and organoids were disrupted mechanically by strong pipetting, centrifuged at 300 × g, 5 min at 4 °C and resuspended in matrigel to plate in P24 wells or eight-well ibidi chambers (80821, Ibidi). In different experiments SI organoids and/ or colonoids were exposed to ENR, ER, EN mediums, muscle-SN, obtained as explained below, human recombinant Periostin (50–500 ng) (3548-F2-050, R&D), CHIR99021 (3 µM, Sigma-Aldrich), or Verteporfin (3 µM, Sigma-Aldrich) for 3–5 days.
Intestinal smooth muscle isolation and muscle-SN collection
Smooth muscle samples were obtained as followed: after flushing with cold PBS, whole mice colon or 10 first cm of mice duodenum were open in longitudinal to expose the epithelial part and dissected under a bench scope. Using a coverslip, the epithelium and most of the mucosa (except the muscularis mucosae) were carefully removed under the dissection scope. The remaining tissue was further inspected under the microscope for residual crypts or fat and further cleaned. Samples were then fixed in PFA4% and stained as described below to ensure the presence of exclusively muscularis propria (circular and longitudinal layers) and some portions of muscularis mucosae and for the absence of epithelium. Smooth muscle samples were deep frozen in N2 (for RNA seq or WB analysis), rolled into swiss rolls for immunostaining, or cut in small pieces of muscle strips (around 2–4 mm long) used to obtain muscle-SN. To obtain this supernatant, the samples were then washed with sterile PBS twice, spin down, and collected in P24 well plates. One piece of muscle (2–4 mm) was included in each P24 well and cultured in 1 ml of DMEM-F12 for 24 h. Muscle-SN from different wells were then pooled and filtered (0,20 µm) and used directly + ENR factors in organoid cultures (right after splitting), sent for MS evaluation or frozen at −80 °C. Organoids were exposed to muscle-SN for 4–5 days. Muscle samples were obtained from the colon and used to obtain Muscle-SN, in RNA seq, WB or MS experiments. Small intestinal tissue was used for smooth muscle isolation for data in Fig. S2.
Quantification and imaging of organoids
P24 well plates were imaged using automatized Z-stack in EVOS2 microscope with CO2, temperature, and humidity-controlled incubation chamber (Thermo-Fisher Scientific). SI organoid area and classification were evaluated using a custom analysis program written in python based on opencv2 (Lindholm et al., 2020). Images were autoscaled, and a canny edge detection algorithm was run on each individual z-plane using the cv2.canny function. Small pixel groups were removed and a minimal projection of the edges was generated. The contour of objects was defined based on this image. A watershed algorithm was used to split somewhat overlapping objects from each other and the object center was defined as the pixel furthest from the edge of the object. Each object was extracted in a 120×120 image on a white background and classified as either “Junk”, “Budding” or “Spheroid” in a neural network implemented and trained using Tensorflow and Keras. A custom visual classification editor was then used to correct the locations of organoid centers and the classification group. The order of images was randomized, and treatment information hidden during the classification correction. The images then went through a second segmentation step where the segmentation was re-done as described above. The objects of contours with multiple centers were then split apart with a watershed algorithm that used the corrected organoid centers to split overlapping organoids. Organoids formation efficiency in SI organoids and in colonoids was calculated by manually counting the number of successful organoids 24, 48, and 72 h after crypt isolation in EVOS2 bright field pictures. SI organoids size was evaluated from day 1 to 5. For muscle-SN experiments quantification was performed at day 4 and at day 3 in POSTN treatments.
Immunofluorescence staining in organoids and imaging
For immunofluorescent labeling and imaging, SI organoids were grown in 70% Matrigel-30% ENR on eight-chamber Ibidi μslides (80821, Ibidi). SI organoids were fixed in PBS containing 4% paraformaldehyde (pH 7.4) and 2% sucrose for 30–45 min, permeabilized, and blocked in PBS-Triton X-100 0.2%, 2% normal goat serum (NGS), 1% BSA Glycine 100 µM for 1 h at RT. Next, SI organoids were incubated with primary antibodies against the following antigens diluted in PBS-TX100 0.2% + BSA 0.5% + NGS 1%: Ki67 (1:200, rabbit monoclonal antibody (mAb), Invitrogen, MA5-14520), β-catenin (1:200, mouse mAb, BD Biosciences, 610154), and YAP (1:100, rabbit mAb, Cell Signaling, 14074) overnight at 4 °C with slow agitation. Organoids were washed in PBS containing 0.1% Tween20 and incubated overnight in the same buffer at 4 °C with the appropriate Alexa Fluor secondary antibody (1:500) along with Hoechst 33342 (1:10,000). SI organoids were washed with PBS buffer with 0.1% Tween 20 and mounted using Fluoromount G (ThermoFisher Scientific, 00-4958-02). SI organoids were imaged in a Zeiss Airyscan confocal microscope, using a 10x and 20x objective lens. Images were analyzed using Zen black edition software (Zeiss) and maximal projections are shown. For immunofluorescent staining on re-epithelialized iECM—samples were fixed with 4% PFA for 20 min, and blocked with blocking buffer (5% Horse serum, 0.2% BSA, and 0.3% Triton X-100 in PBS) for 30 min at room temperature. Samples were then incubated with Anti-E-Cadherin antibody (DECMA-1 clone, Sigma, MABT26) and DAPI (1 μg/ml, Sigma) for 48 h at +4 °C on a shaker. Following the washes (3×) with the blocking buffer, samples were incubated with Alexa Fluor secondary antibody overnight at +4 °C. Samples were incubated with 80% glycerol in PBS overnight before imaging with Leica TCS SP8 STED confocal microscope.
RNA seq of organoids and tissue
Pieces of clean colon muscle, colon crypts (obtained using colon crypt isolation protocol previously described), or pooled SI organoids were used for RNA isolation. Tissues were first placed in lysis buffer (RLT, provided in RNeasy® Mini Quiagen Kit, 74104) and disrupted with sterile ceramic beads (Magna Lyser green beads tubes 03358941001) using a Tissue Lyser (FastPrep-24™, SKU 116004500), with two rounds of 6500 rpm for 30 s each, with care taken to maintain the sample cold. SI organoid wells were first disrupted by strong pipetting and pelleted before lysis. RNA isolation was performed following manufacturer instructions (RNeasy® Mini Kit, Qiagen, 74104, for tissue and Direct-zol™ RNA MiniPrep, BioSite R-2052, for organoids). RNA was quantified by spectrophotometry (ND1000 Spectrophotometer, NanoDrop, Thermo Scientific) and 25 µl at a 50 ng/µl concentration of RNA were used for RNA seq. Library preparation and sequencing for tissue RNA seq was performed by NTNU Genomic Core facility. Lexogen SENSE mRNA library preparation kit was used to generate the library and samples were sequenced at 2 × 75 bp paired end using Illumina NS500 flow cells. Library preparation and sequencing for organoid RNA seq was performed by Novogene (UK) Co. NEB Next® Ultra™ RNA Library Prep Kit was used to generate the library and samples were sequenced at 150 × 2 bp paired end using a Novaseq 6000 (Illumina). The STAR aligner was used to align reads to the Mus musculus genome build mm1064,65. featureCounts was used to count the number of reads that uniquely aligned to the exon region of each gene in GENCODE annotation M18 of the mouse genome66. Genes that had a total count of <10 were filtered out. DESeq2 with default settings was used to do a differential expression analysis67. Heatmaps were generated using the R-package pheatmap68. PCA analysis was done with the scikit-learn package using the function sklearn.decomposition.PCA69. Gene set enrichment analysis (GSEA) was performed on the full list of genes from differential expression sorted by log2 fold change and with log2 fold change as weights. GSEA was run with the R package clusterProfiler using 10,000 permutations and otherwise default settings70. A list of the top 250 genes upregulated in crypts was used for Enrichr analysis36,37.
All raw sequencing data are available online through ArrayExpress: WT and KO smooth muscle and crypt RNA seq: E-MTAB-9180;ENR vs MuscleSN treated SI organoids RNA seq: E-MTAB9181.
Mass spectrometry of muscle-SN
Muscle supernatants were collected as stated above. For each sample, 100 ml of soluble protein was taken and proteins were reduced with 4 mM DTT at room temperature for 1 h, and alkylated with 8 mM iodoacetamide at room temperature for 30 min in the dark, after which additional 4 mM DTT was added. A first digestion was carried out with 40 ng Lys-C at 37 °C for 4 h. The samples were diluted four times and further digested with 40 ng trypsin at 37 °C overnight. Digested protein were desalted using Sep-Pak C18 cartridges (Waters), dried by vacuumcentrifuge and stored at −20 °C for further use.
For MS analysis the peptides were dissolved in 2% formic acid and 5 µl of each digested sample was injected on an UHPLC 1290 system (Agilent) connected to an Orbitrap Q Exactive HF spectrometer (Thermo Scientific). Reconstituted peptides were trapped on an in-house packed, double-fritted (Dr Maisch Reprosil C18, 3 µm, 2 cm × 100 µm) precolumn for 5 min in solvent A (0.1% formic acid in water) at 5 µl/min before being separated on an analytical column (Agilent Poroshell, EC-C18, 2.7 µm, 50 cm × 75 µm). Solvent A consisted of 0.1% formic acid, solvent B of 0.1 % formic acid in 80% acetonitrile. Separation was performed at a column flow rate of ~300 nl/min (split flow from 0.2 ml/min) using a 95 min gradient of 13–44 % buffer B followed by 44–100% B in 3 min and 100% B for 1 min was applied. MS data were obtained in data-dependent acquisition mode. Full scan MS spectra from m/z 375–1600 were acquired at a resolution of 60,000 to a target value of 3 × 106 or a maximum injection time of 20 ms. The top 15 most intense precursors with a charge state of 2+ to 5+ were chosen for fragmentation. HCD fragmentation was performed at 27 normalized collision energy on selected precursors with 16 s dynamic exclusion at a 1.4 m/z isolation window after accumulation to 1 × 105 ions or a maximum injection time of 50 ms. Tandem mass spectrometry (MS/MS) spectra were acquired at a resolution of 30,000.
Proteins IDs and intensity values (abundance) are represented in Supplementary Data 1.
MS data analysis
All raw MS files were searched using MaxQuant software (version 126.96.36.199). MS/MS spectra were searched by Andromeda against a reviewed Uniprot Mus Musculus (17,068 entries, 2020) using the following parameters: trypsin digestion; maximum of three missed cleavages; cysteine carbamidomethylation as fixed modification; oxidized methionine and protein N-terminal acetylation as variable modifications. Mass tolerance was set to 20 ppm for MS1 and MS2. The protein and PSM False Discovery Rate (FDR) were set to 1%.
Recombinant MMP17-Periostin cleavage site discovery
Recombinant Human periostin (3548-F2-050 R&D systems) and MMP17 (human) recombinant (P4928 Abnova) were dissolved in 50 mM Tris-HCL, 10 mMCacl2, 80 mM NaCL pH7.4 to reach a concentration of 250 ng/μl. 18 μl MMP17 and 72 μl Periostin were mixed and incubated for 2 h at 37 °C. After incubation 22.5 μl of sample buffer with DTT (XT sample buffer 4x Bio-Rad) was added. Samples were heated for 5 min 95 °C, before loading on a 12% gel (Criterion, Bio-Rad). The gel was run for ~3 cm, then stopped and stained with Imperial safe stain (Pierce, Thermo). The gel lane was cut in 3 pieces and the excised gel pieces were reduced with DTT, alkylated with iodoacetamide, and in-gel digested with trypsin71.
Samples were analyzed with LC-MS performed on an UltiMate 3000 RSLCnano System (Thermo Scientific) coupled to a Orbitrap Exploris (Thermo Scientific). Peptides were first trapped onto an in-house packed precolumn (3 μm C18 Dr. Maisch ReproSil, 2 cm × 100 μm) and eluted for separation onto an analytical column (Agilent Poroshell, EC-C18, 2.7 µm, 50 cm × 75 µm). Solvent A consisted of 0.1% formic acid, solvent B of 0.1 % formic acid in 80% acetonitrile. Trapping was performed for 5 min at 5 μL/min flowrate in solvent A. Peptides were separated at a column flowrate of 300 nl/min by a 95 min gradient of 12–44 % buffer B, followed by 30–100% B in 3 min, 100% B for 1 min.
The mass spectrometer was operated in data-dependent acquisition (DDA) mode. Full scan MS was acquired from 375–1600 m/z with a 60,000 resolution at 400 m/z and an accumulation target value of 3e6 ions. Up to 15 most intense precursor ions were selected for HCD fragmentation performed at normalized collision energy (NCE) 27, after accumulation to target value of 1E5. MS/MS acquisition was performed at a resolution of 30,000.
Proteome data (RAW files) were analyzed by Proteome Discoverer (version 188.8.131.52, Thermo Scientific) using Percolator and standard settings. MS/MS data were searched against the Swissprot database (564277 entries, 01-2021) with Mascot. The maximum allowed precursor mass tolerance was 10 ppm and 0.05 Da for fragment ion masses. False discovery rates for peptide and protein identification were set to 5%. Trypsin was chosen as cleavage specificity allowing two missed cleavages. Carbamidomethylation (C) was set as a fixed modification, while oxidation (M) and acetyl (Protein N-term) were used as variable modifications.
Tissue immunostaining and immunohistochemistry
Intestines were open in longitudinal, flushed, and rolled into “Swiss rolls” as previously described72. Tissues were then fixed in PFA 4% 16 h and, in the case of frozen samples, included in sucrose 2% from 3 h to over night. Swiss rolls were then included in paraffin or in OCT compound for frozen sectioning. Transversal cuts of swiss rolls were used in all experiments. For immunohistochemistry and H&E staining, paraffin sections of 4 um were subjected to normal deparaffination and hydration. Antigen retrieval protocol (citrate buffer or pH9 EDTA buffer) was used for immunohistochemisty. After blocking unspecific binding on BSA 2%, NGS 5% PBS-TritonX100 0.3%, samples were incubated overnight with one of the following primary antibodies: anti-Muc2 (1:200, Santa Cruz, rabbit mAb, sc-515032) or anti-Lysozyme (1:500, rabbit polyclonal antibody (pAb), Dako, A0099) in same blocking buffer. Specific secondary antibody and DAB (Vector technology) protocol were used. For LacZ staining, frozen sections were stained following β-gal staining kit indications (K1465-01, Fisher Scientific). Tissue sections were imaged using brightfield microscope EVOS2 with 10 or 20× objective lens and tile scan for the visualization of the complete swiss roll was performed when needed. For immunofluorescence, sections of 4–7 µm were incubated in blocking buffer for 1 h (PBS-Tx100 0.3%, NGS 5%, BSA 2%, Glycine 100 µM), followed by primary antibody incubation overnight. The following antibodies were used for immunofluorescence: anti-βGalactosidase (βGal, Frozen sections, Dil 1:100, Rabbit polyclonal antibody, Abcam, ab4761), anti-Ki67 (Paraffin, 1:200, rabbit monoclonal antibody, Invitrogen, MA5-14520) anti-SMAD4 (Frozen sections, methanol 10 min −20C, Dil 1:400, Cell signaling, 46535), anti-βcatenin (Paraffin, 1:200, Mouse mAb, BD Biosciences, 610154), anti-Olfm4 (Paraffin, 1:200, Rabbit mAb, Cell signaling, 39141),, anti-cleaved caspase 3 (Paraffin, Dil 1:200, Rb pAb, Cell signaling, 9661), anti-pSMAD1/5/9 (Frozen sections, 10 µm, Dil 1:800, 13820, Cell Signaling, following TSA amplification, NEL744001KT, Perkin Elmer, following previous specifications73), anti-YAP (Paraffin, 1:100, rabbit mAb, Cell Signaling, 14074), anti-Desmin and anti-CD31 (Frozen sections, Dil 1:200 for both antibodies, Mouse mAb, Thermo Fisher Scientific,MA5-13259 and Hamster mAb, Millipore, MAB1398z, respectively) and anti-CD45 (Frozen sections, 1:200, rat mAb, Abcam, 25386), and anti E-Cadherin (Rabbit mAb, Cell signaling 3195). After washing the slides in PBS-Tween 20 0.2%, tissues were incubated with the appropriate Alexa Fluor secondary antibody, Anti-SMA-Cy3 directly labeled antibody (1:500, mouse mAb, Sigma-Aldrich C6198) and Hoechst 33342 (1:10,000). Tissue sections were imaged with a Zeiss Airyscan confocal microscope, using a 10× and 20× objective lens. Images were analyzed using Zen black edition software (Zeiss) and maximal projections are shown except for SMAD4 staining (single plane). Tile scans of swiss rolls were performed when required. The percentage of βGal positive cells in the muscle was calculated manually in Zen software by counting the total number of nuclei in muscularis mucosa or circular/longitudinal muscle vs βGal positive nuclei in these tissues.
DSS colon injury
Experimental epithelial colon injury was induced in 8–10 weeks mice by supplying 3.5% DSS (MP Biomedicals, 0216011010) in drinking water ad libitum during 5 days. Before (Day 0) and during experimental development (up to day 7 in short protocol or up to 19 days in long-term protocol), mice were monitored daily for signs of stress, pain, body weight loss, and presence of blood in stool (detected by hemoFEC, Cobas, 10243744). At day 5, DSS was replaced by regular water to allow epithelial renewal. Control mice to evaluate DSS damage level were euthanized at Day5. For the long-term protocol, weight recovery determined end point (14 days for females and 19 days for males). Colon tissue was then harvested, measured, imaged, fluxed with cold PBS, open in longitudinal, and processed for paraffin or OCT, as indicated above. Paraffin sections were stained for H&E, or Ki67 and SMA. H&E sections were imaged on EVOS2 (tile scan of complete swiss rolls) and genotype-blind analyzed for signs of injury. Crypt loss, presence of ulcered tissue in the mucosa, signs of immune infiltrate in mucosa and edema were evaluated to create an injury level profile for each sample (Injury Score). The % of de-epithelialized mucosa was calculated using Fiji (Image J) as the total length of intestinal surface devoid of epithelium vs total length of swiss roll. The % of Ki67+ cells were obtained by quantifying Ki67 positive nuclei in mucosa vs total nuclei in mucosa using Cell Profiler. Long-term DSS samples were evaluated by a pathologist to determine the presence of reactive atypia.
Eight-week-old male mice were subjected to whole body 10 Gy irradiation under anesthesia. Weight loss was evaluated at Day 0 and during the length of the experiment (3 or 6 days). Animals were carefully checked daily for signs of pain or stress. At end point, mice were euthanized and small intestine and colon were harvested, flushed with cold PBS, and processed in swiss rolls for paraffin. H&E sections were imaged and evaluated blindly for signs of impaired recovery of the mucosal tissue. Parameters as crypt loss, immune infiltrate, crypt length and villus length and width were evaluated to rate the injury score. Villus length and width were measured using Fiji (Image J). We evaluated caspase 3 levels through staining at Day 1 as a positive control for irradiation. Microcolony assay was performed on swiss rolls H&E images of Day3 and Day6 irradiated intestines and represented as #Crypts/100 μm of tissue. On average, crypts number was evaluated in 0.6–1 cm of ileum swiss roll extension in transversal cut, and more than 100 crypts counted/sample. Image quantification was performed using Fiji (Image J).
Mmp17-ApcMin tumor evaluation
The presence and number of intestinal tumors were evaluated in 18–20 weeks old ApcMin + Mmp17+/+, Mmp17−/− or Mmp17± (females and males) mice. Mice were weekly monitored for weight loss and signs of pain, to avoid situations of moderate to high pain. At end point, mice were euthanized and small intestinal tumors were visualized and counted. Brightfield pictures were taken to double check tumor number and quantify tumor size (Fiji, Image J). Tissues were fixed as swiss rolls overnight and processed in paraffin or for OCT as described above 5 μm microtome cuts were stained for H&E and/or for immunostaining. Immunostaining was performed as previously described in paraffin for βCatenin and Olfm4 staining. For the evaluation of Mmp17 expression in tumors, Mmp17± tissues were processed in OCT and stained for βGal as stated above.
Protein extraction and western blot analysis
Intestinal tissue (muscle or mucosa tissue isolated as previously described) was disrupted using a tissue lyzer and ceramic beads (Magna Lyser green beads tubes 03358941001) in cold regular RIPA buffer (+ protease and phosphatase inhibitors). Proteins (20–100 µg) were resolved by 7–12% SDS-PAGE in reducing conditions and transferred onto nitrocellulose membranes using iBlot2TM dry blotting technology (Thermo Fisher Scientific). Antibodies against SMAD4 (rabbit mAb, Cell signaling, 46535), POSTN (mouse mAb, SAB4200197, MERK, Sigma-Aldrich), β-tubulin (ab6160, Abcam,) and GAPDH (mouse mAb, Abcam, ab125247) were used at 1:1000 dilution (4 °C overnight). Immunoreactive proteins were visualized with corresponding fluorochrome-conjugated secondary antibodies (680 or 800 ODYSSEY IRDye®) and recorded by Licor Odyssey technology. Quantification of western blot bands was performed using ODYSSEY software (LI-COR Biosciences) and normalized to GAPDH or β-tubulin levels.
In vitro digestion and western blot
Human recombinant POSTN (250 ng to 1 µg; hrPOSTN, 3548-F2-050, R&D) or human recombinant OPN as control (1 and 2 µg; hrOPN, 1433-OP, R&D) were incubated in digestion buffer (50 mM Tris-HCl, 10 mM CaCl2, 80 mM NaCl, [pH7.4]) with or without human recombinant MMP17 (250 ng) (hrMMP17, P4928, Abnova) catalytic domain for 2 h at 37 °C. Samples were separated by 12% SDS-PAGE and transferred to nitrocellulose membranes. Full-length hrPOSTN and fragments were detected with an anti-POSTN monoclonal mouse antibody (SAB4200197, MERK, Sigma-Aldrich). Full length and Ct fragments of OPN were detected using 1H3F7 mouse monoclonal antibody as previously described24. An anti-mouse secondary antibody was used to visualize the different protein sizes.
In situ hybridization (ISH) of intestinal tissues
ISH using RNAscope technology (ACD, Bio-Techne) was performed using freshly cut paraffin sections of intestinal swiss rolls of Mmp17+/+ and Mmp17−/− mice. Chromogenic RNAscope of Lgr5 (Mm-Lgr5, 312171) and Olfm4 (Mm-Olfm4, 311831) in colon and small intestine was performed following manufacturer indications (RNAscope® 2.5 HD Assay-BROWN). Sections were imaged using bright field automatized microscope EVOS2 (tile scan). Quantification of positive Lgr5 cells was performed using Fiji (Image J); total area of positive Lgr5 crypts was normalized to tissue length. Immunofluorescence RNAscope (FISH) was performed following manufacturer protocol (RNAscope® Multiplex Fluorescent v2) and the following probes were used: Mmp17 (Mm-Mmp17-C4 ACD design of NM_011846.5), Grem1 (Mm-Grem1-C3, 314741), Grem2 (473981-C2), Chrdl1 (Mm-Chrdl1, 442811). Zeiss Airyscan scope images are maximal projections of the different channels taken with 10× and 20× objectives.
iECM-based crypt regeneration assay
iECM was prepared as previously described39. To obtain a decellularized small iECM from the intestine, 10 cm of MMP17 WT or KO ileum was flushed with cold PBS and incubated overnight in MQ water. Dead cells were cleared by flushing the intestinal lumen with cold MQ water. Next, the intestine was cut into 1 cm pieces, followed by 3 h incubation with 1% Sodium Deoxy Cholate (Sigma) on a shaker (10 rpm) at RT. Tissue pieces were washed with MQ water for 10 min., followed by 2 h RT incubation with 1 M Sodium Chloride and DNaseI (1 U/10 µl, on a shaker). Tissue pieces were then cut open longitudinally and placed on 35 mm glassbottom dishes (MatTek) keeping the luminal side upward. Luminal orientation of the iECM was confirmed with the bright field microscope. The iECM was then used to assess crypts formation from organoids laying on top of this decellularized tissue. 3-day old Matrigel-cultured organoid were washed with cold PBS (3×) and plated onto iECM. The number of adhered organoids on iECM was quantified under light micrososcope after 24 h, and further cultured for 7 days in standard ENR media or in supplementation with WT/KO MSN or hrMMP17. At day 7, re-epithelialized iECM were imaged and number of crypts attached to the iECM were quantified (ratio Crypts/organoids). iECM was then fixed in 4% PFA for further IF analysis.
In silico modeling of MMP17-POSTN docking and cleavage
Fasta sequences of mature human POSTN protein (Q15063 with the signal-peptide removed) was aligned to Uniclust·30 (release 08-2018) and pdb70 (release 09-2019) databases using the hhblits/hhsearch tools of the HH-suite374 to obtain a multisequence alignment (MSA) and pdb templates for comparative modeling.
For docking the full dimer a comparative modeling was made using de RosettaCM75 tool of the of Rosetta suite v3.12 (www.rosettacommons.org) with the fasta sequence, the alignment and templates obtained before.
The model with best structural alignment to the template (5yjg) and minimal energy was selected as final candidate. A final cycle of refinement for minimize clashes and energy was made with the relax tool76 of Rosetta suite v3.12 (www.rosettacommons.org). This tool recomputes the side-chain coordinates of the protein residues with account of the composition of the protein. As before, the models with the best energy and correct folding were selected as the final model.
Previous results for in vitro experiments show the putative cleavage sites in POSTN by MMP17 protein. The 271LF and 273AP sites are buried in the dimeric model.To evaluate the accessibly of the exposed residues, the model of POSTN was manually located close to the active-site of MMP17 modeled before24 using the pymol 2.4 software (www.pymol.org) for each exposed position. The positions at 36GR and 266DG have strong steric impediment that makes access impossible.
In each case, the complex was modeled using the docking protocol of the Rosetta software suite v3.12 (www.rosettacommons.org)77. Models were clustered and manually analyzed in pymol to select the best candidate in each case. No model with the 808LQ position near to the active site of MT4-MMP was obtained.
Models for position 157VN, 291MG, and 793GG are near to the active site of MMP17 and, probably, are accessible. The 664IP position is in the active-site of MMP17 and is the best candidate.
The statistical analysis performed in each case is explained in detail in the corresponding figure legend, together with the n and the times the experiment was performed. Data were analyzed by two-tailed Student’s t-test or by one- or two-way ANOVA followed by Bonferroni post-test for data with Gaussian normal distribution. Non-normal distributions were analyzed by Mann–Whitney test. The one-tailed Fisher’s exact test was used to analyze the incidence of blood in stool or the presence of reactive atypia. Statistical tests were conducted with Prism 5 software (GraphPad Software, Inc.). Data are presented as mean ± S.D. and differences were considered statistically significant at p < 0.05: *p value < 0.05, **p value < 0.01, ***p value < 0.001 and p value < 0.0001.
Further information on research design is available in the Nature Research Reporting Summary linked to this article.
All raw sequencing data are available through ArrayExpress: WT and KO smooth muscle and crypt RNA seq: The WT and KO smooth muscle and crypt RNA seq data generated in this study have been deposited in the ArrayExpress database under accession code “E-MTAB-9180”. The ENR vs MuscleSN treated organoids RNA seq data generated in this study has been deposited in the ArrayExpress database under accession code “E-MTAB-9181”. The mass spectrometry proteomics data have been deposited to the ProteomeXchange Consortium via the PRIDE78 partner repository with the dataset identifiers “PXD020561 (MSN supernatant)” and “PXD025770 (POSTN cleavage)”. Supplementary Data 2 with proteomic data generated in this study is provided in the Supplementary Information. All other relevant data supporting the key findings of this study are available within the article and its Supplementary Information files or from the corresponding author upon reasonable request. All source data are available as a Source Data file. Source data are provided with this paper.
Barker, N. et al. Identification of stem cells in small intestine and colon by marker gene Lgr5. Nature https://doi.org/10.1038/nature06196 (2007).
Tian, H. et al. A reserve stem cell population in small intestine renders Lgr5-positive cells dispensable. Nature https://doi.org/10.1038/nature10408 (2011).
Murata, K. et al. Ascl2-dependent cell dedifferentiation drives regeneration of ablated intestinal stem cells. Cell Stem Cell https://doi.org/10.1016/j.stem.2019.12.011 (2020).
Yui, S. et al. YAP/TAZ-dependent reprogramming of colonic epithelium links ECM remodeling to tissue regeneration. Cell Stem Cell 22, 35–49.e7 (2018).
Gregorieff, A., Liu, Y., Inanlou, M. R., Khomchuk, Y. & Wrana, J. L. Yap-dependent reprogramming of Lgr5+ stem cells drives intestinal regeneration and cancer. Nature https://doi.org/10.1038/nature15382 (2015).
Wang, Y. et al. Long-term culture captures injury-repair cycles of colonic stem cells. Cell https://doi.org/10.1016/j.cell.2019.10.015 (2019).
Nusse, Y. M. et al. Parasitic helminths induce fetal-like reversion in the intestinal stem cell niche. Nature 559, 109–113 (2018).
McCarthy, N. et al. Distinct mesenchymal cell populations generate the essential intestinal BMP signaling gradient. Cell Stem Cell https://doi.org/10.1016/j.stem.2020.01.008 (2020).
Miyoshi, H. et al. Prostaglandin E2 promotes intestinal repair through an adaptive cellular response of the epithelium. EMBO J. https://doi.org/10.15252/embj.201694660 (2017).
Shoshkes-Carmel, M. et al. Subepithelial telocytes are an important source of Wnts that supports intestinal crypts. Nature 557, 242–246 (2018).
Roulis, M. et al. Paracrine orchestration of intestinal tumorigenesis by a mesenchymal niche. Nature https://doi.org/10.1038/s41586-020-2166-3 (2020).
Degirmenci, B., Valenta, T., Dimitrieva, S., Hausmann, G. & Basler, K. GLI1-expressing mesenchymal cells form the essential Wnt-secreting niche for colon stem cells. Nature 558, 449–453 (2018).
Greicius, G. et al. PDGFRα+ pericryptal stromal cells are the critical source of Wnts and RSPO3 for murine intestinal stem cells in vivo. Proc. Natl Acad. Sci. USA https://doi.org/10.1073/pnas.1713510115 (2018).
Shoshkes-Carmel, M. et al. Subepithelial telocytes are an important source of Wnts that supports intestinal crypts. Nature https://doi.org/10.1038/s41586-018-0084-4 (2018).
Halpern, K. B. et al. Lgr5 + telocytes are a signaling hub at the intestinal villus tip. (2019).
Roulis, M. & Flavell, R. A. Fibroblasts and myofibroblasts of the intestinal lamina propria in physiology and disease. Differentiation https://doi.org/10.1016/j.diff.2016.05.002 (2016).
Powell, D. W., Pinchuk, I. V., Saada, J. I., Chen, X. & Mifflin, R. C. Mesenchymal cells of the intestinal lamina propria. Annu. Rev. Physiol. 73, 213–237 (2011).
Gjorevski, N. et al. Designer matrices for intestinal stem cell and organoid culture. Nature https://doi.org/10.1038/nature20168 (2016).
Pinchuk, I. V., Mifflin, R. C., Saada, J. I. & Powell, D. W. Intestinal mesenchymal cells. Curr. Gastroenterol. Rep. https://doi.org/10.1007/s11894-010-0135-y (2010).
Katajisto, P. et al. LKB1 signaling in mesenchymal cells required for suppression of gastrointestinal polyposis. Nat. Genet. https://doi.org/10.1038/ng.98 (2008).
Chivukula, R. R. et al. An essential mesenchymal function for miR-143/145 in intestinal epithelial regeneration. Cell https://doi.org/10.1016/j.cell.2014.03.055 (2014).
Page-McCaw, A., Ewald, A. J. & Werb, Z. Matrix metalloproteinases and the regulation of tissue remodelling. Nat. Rev. Mol. Cell Biol. https://doi.org/10.1038/nrm2125 (2007).
Kessenbrock, K., Wang, C. Y. & Werb, Z. Matrix metalloproteinases in stem cell regulation and cancer. Matrix Biol. https://doi.org/10.1016/j.matbio.2015.01.022 (2015).
Martín-Alonso, M. et al. Deficiency of MMP17/MT4-MMP proteolytic activity predisposes to aortic aneurysm in mice. Circ. Res. https://doi.org/10.1161/CIRCRESAHA.117.305108 (2015).
O’Sullivan, S., Gilmer, J. F. & Medina, C. Matrix metalloproteinases in inflammatory bowel disease: an update. Mediators Inflamm. 2015, 964131 (2015).
Esteban, S. et al. Endothelial MT 1‐ MMP targeting limits intussusceptive angiogenesis and colitis via TSP1/nitric oxide axis. EMBO Mol. Med. https://doi.org/10.15252/emmm.201910862 (2020).
Jakubowska, K. et al. Expressions of matrix metalloproteinases (MMP-2, MMP-7, and MMP-9) and their inhibitors (TIMP-1, TIMP-2) in inflammatory bowel diseases. Gastroenterol. Res. Pract. https://doi.org/10.1155/2016/2456179 (2016).
Holloway, E. M. et al. Mapping development of the human intestinal niche at single-cell resolution. Cell Stem Cell https://doi.org/10.1016/j.stem.2020.11.008 (2021).
Sato, T. et al. Single Lgr5 stem cells build crypt-villus structures in vitro without a mesenchymal niche. Nature https://doi.org/10.1038/nature07935 (2009).
Serra, D. et al. Self-organization and symmetry breaking in intestinal organoid development. Nature (2019) https://doi.org/10.1038/s41586-019-1146-y.
Sato, T. et al. Long-term expansion of epithelial organoids from human colon, adenoma, adenocarcinoma, and Barrett’s epithelium. Gastroenterology 141, 1762–1772 (2011).
Meran, L., Baulies, A. & Li, V. S. W. Intestinal stem cell niche: the extracellular matrix and cellular components. Stem Cells Int. 2017, 7970385 (2017).
Gattazzo, F., Urciuolo, A. & Bonaldo, P. Extracellular matrix: a dynamic microenvironment for stem cell niche. Biochim. Biophys. Acta - General Subjects https://doi.org/10.1016/j.bbagen.2014.01.010 (2014).
Rodríguez, D., Morrison, C. J. & Overall, C. M. Matrix metalloproteinases: what do they not do? New substrates and biological roles identified by murine models and proteomics. Biochim. Biophys. Acta - Mol. Cell Res. https://doi.org/10.1016/j.bbamcr.2009.09.015 (2010).
Rikimaru, A. et al. Establishment of an MT4-MMP-deficient mouse strain representing an efficient tracking system for MT4-MMP/MMP-17 expression in vivo using β-galactosidase. Genes Cells https://doi.org/10.1111/j.1365-2443.2007.01110.x (2007).
Chen, E. Y. et al. Enrichr: Interactive and collaborative HTML5 gene list enrichment analysis tool. BMC Bioinformatics https://doi.org/10.1186/1471-2105-14-128 (2013).
Kuleshov, M. V. et al. Enrichr: a comprehensive gene set enrichment analysis web server 2016 update. Nucleic Acids Res. https://doi.org/10.1093/nar/gkw377 (2016).
Massagué, J. TGFβ signalling in context. Nat. Rev. Mol. Cell Biol. https://doi.org/10.1038/nrm3434 (2012).
Iqbal, S. Fetal-like reversion in the regenerating intestine is regulated by mesenchymal Asporin. Preprint at bioRxiv https://doi.org/10.1101/2021.06.24.449590 (2021).
McCart, A. E., Vickaryous, N. K. & Silver, A. Apc mice: models, modifiers and mutants. Pathol. Res. Pract. 204, 479–490 (2008).
Yin, X. et al. Niche-independent high-purity cultures of Lgr5 + intestinal stem cells and their progeny. Nat. Methods 11, 106–112 (2014).
Muñoz, J. et al. The Lgr5 intestinal stem cell signature: robust expression of proposed quiescent ′ +4′ cell markers. EMBO J. 31, 3079–3091 (2012).
Khurana, S. et al. Outside-in integrin signalling regulates haematopoietic stem cell function via Periostin-Itgav axis. Nat. Commun. https://doi.org/10.1038/ncomms13500 (2016).
Bao, S. et al. Periostin potently promotes metastatic growth of colon cancer by augmenting cell survival via the Akt/PKB pathway. Cancer Cell https://doi.org/10.1016/S1535-6108(04)00081-9 (2004).
Ma, H. et al. Periostin promotes colorectal tumorigenesis through integrin-FAK-Src pathway-mediated YAP/TAZ activation. Cell Rep. https://doi.org/10.1016/j.celrep.2019.12.075 (2020).
Maruhashi, T., Kii, I., Saito, M. & Kudo, A. Interaction between periostin and BMP-1 promotes proteolytic activation of lysyl oxidase. J. Biol. Chem. https://doi.org/10.1074/jbc.M109.088864 (2010).
Orecchia, P. et al. Identification of a novel cell binding site of periostin involved in tumour growth. Eur. J. Cancer https://doi.org/10.1016/j.ejca.2011.04.026 (2011).
Czerwinski, M. et al. In vitro and in vivo development of the human intestinal niche at single cell resolution. Preprint at bioRxiv https://doi.org/10.1101/2020.01.31.928788 (2020).
Qi, Z. et al. BMP restricts stemness of intestinal Lgr5 + stem cells by directly suppressing their signature genes. Nat. Commun. 8, 1–14 (2017).
Kudo, A. & Kii, I. Periostin function in communication with extracellular matrices. J. Cell Commun. Signal. https://doi.org/10.1007/s12079-017-0422-6 (2018).
Bonnet, N., Brun, J., Rousseau, J. C., Duong, L. T. & Ferrari, S. L. Cathepsin K controls cortical bone formation by degrading periostin. J. Bone Miner. Res. https://doi.org/10.1002/jbmr.3136 (2017).
Shimazaki, M. et al. Periostin is essential for cardiac hśealing after acute myocardial infarction.ś J. Exp. Med. 205, 295–303 (2008).
Nishiyama, T. et al. Delayed re-epithelialization in periostin-deficient mice during cutaneous wound healing. PLoS ONE 6, e18410 (2011).
Kudo, A. Periostin in fibrillogenesis for tissue regeneration: Periostin actions inside and outside the cell. Cell. Mol. Life Sci. 68, 3201–3207 (2011).
Kolkenbrock, H., Essers, L., Ulbrich, N. & Will, H. Biochemical characterization of the catalytic domain of membrane-type 4 matrix metalloproteinase. Biol. Chem. https://doi.org/10.1515/BC.1999.137 (1999).
Clements, K. M. et al. Matrix metalloproteinase 17 is necessary for cartilage aggrecan degradation in an inflammatory environment. Ann. Rheum. Dis. https://doi.org/10.1136/ard.2010.130757 (2011).
Clemente, C. et al. MT4-MMP deficiency increases patrolling monocyte recruitment to early lesions and accelerates atherosclerosis. Nat. Commun. 9, 4–6 (2018).
Neuman, M. G. Osteopontin biomarker in inflammatory bowel disease, animal models and target for drug discovery. Digestive Dis. Sci. https://doi.org/10.1007/s10620-012-2120-9 (2012).
Zhao, M., Liang, F., Zhang, B., Yan, W. & Zhang, J. The impact of osteopontin on prognosis and clinicopathology of colorectal cancer patients: a systematic meta-analysis. Sci. Rep. https://doi.org/10.1038/srep12713 (2015).
Zhao, H. et al. The role of osteopontin in the progression of solid organ tumour. Cell Death Dis. https://doi.org/10.1038/s41419-018-0391-6 (2018).
Chen, J. et al. Promotion of tumor growth by ADAMTS4 in colorectal cancer: focused on macrophages. Cell. Physiol. Biochem. https://doi.org/10.1159/000489245 (2018).
Paye, A. et al. EGFR activation and signaling in cancer cells are enhanced by the membrane-bound metalloprotease MT4-MMP. Cancer Res. https://doi.org/10.1158/0008-5472.CAN-13-2994 (2014).
Sato, T. & Clevers, H. Primary mouse small intestinal epithelial cell cultures. Methods Mol. Biol. https://doi.org/10.1007/978-1-62703-125-7_19 (2013).
Dobin, A. et al. STAR: ultrafast universal RNA-seq aligner. Bioinformatics https://doi.org/10.1093/bioinformatics/bts635 (2013).
Frankish, A. et al. GENCODE reference annotation for the human and mouse genomes. Nucleic Acids Res. https://doi.org/10.1093/nar/gky955 (2019).
Liao, Y., Smyth, G. K. & Shi, W. FeatureCounts: an efficient general purpose program for assigning sequence reads to genomic features. Bioinformatics https://doi.org/10.1093/bioinformatics/btt656 (2014).
Love, M. I., Huber, W. & Anders, S. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biol. https://doi.org/10.1186/s13059-014-0550-8 (2014).
Kolde, R. pheatmap: Pretty Heatmaps. R package version 1.0.8 (2015).
Pedregosa, F. et al. Scikit-learn: Machine Learning. J. Mach. Learn. Res. 12, 2825–2830 (2011).
Yu, G., Wang, L. G., Han, Y. & He, Q. Y. ClusterProfiler: an R package for comparing biological themes among gene clusters. Omi. A J. Integr. Biol. https://doi.org/10.1089/omi.2011.0118 (2012).
Shevchenko, A., Tomas, H., Havliš, J., Olsen, J. V. & Mann, M. In-gel digestion for mass spectrometric characterization of proteins and proteomes. Nat. Protoc. https://doi.org/10.1038/nprot.2006.468 (2007).
Moolenbeek, C. & Ruitenberg, E. J. The ‘Swiss roll’: a simple technique for histological studies of the rodent intestine. Lab. Anim. 15, 57–59 (1981).
Huycke, T. R. et al. Genetic and mechanical regulation of intestinal smooth muscle development. Cell https://doi.org/10.1016/j.cell.2019.08.041 (2019).
Steinegger, M. et al. HH-suite3 for fast remote homology detection and deep protein annotation. BMC Bioinforma. https://doi.org/10.1186/s12859-019-3019-7 (2019).
Song, Y. et al. High-resolution comparative modeling with RosettaCM. Structure https://doi.org/10.1016/j.str.2013.08.005 (2013).
Fleishman, S. J. et al. Rosettascripts: a scripting language interface to the Rosetta Macromolecular modeling suite. PLoS One https://doi.org/10.1371/journal.pone.0020161 (2011).
Marze, N. A., Roy Burman, S. S., Sheffler, W. & Gray, J. J. Efficient flexible backbone protein-protein docking for challenging targets. Bioinformatics https://doi.org/10.1093/bioinformatics/bty355 (2018).
Perez-Riverol, Y. et al. The PRIDE database and related tools and resources in 2019: improving support for quantification data. Nucleic Acids Res. https://doi.org/10.1093/nar/gky1106 (2019).
We would like to thank Dr. Motoharu Seiki for kindly sharing the Mmp17KO/KI mouse line and Dr. Kaisa Lehti for first inspiring this study. We would like to thank to Anne Beate L. Marthinsen for performing the irradiation, and the Department of Radiology and Nuclear Medicine (St. Olav’s Hospital) for allowing the use of their instruments. We also thank Arne Wibe and Elin Rønne for their evaluation of colon crypt reactive atypia. We thank Shreya Gopalakrishnan for sharing reagents and input on organoids growth, Yashwanth Subbannayya and Time Veth for input on MS analysis, and Rosalie Zwiggelaar for assisting in mouse experiments. We thank the imaging (CMIC) and animal care (CoMed) core facilities (NTNU), as well as the histology and animal facilities at CNIC for assisting in this work. The WT KO crypt-muscle RNA-seq was done by the Genomics Core Facility at NTNU, which receives funding from the Faculty of Medicine and Health Sciences and Central Norway Regional Health Authority. This research was part of the Netherlands X-omics Initiative and partially funded by NWO (project 184.034.019). This work was further financially supported by the Norwegian Research Council (Centre of Excellence grant 223255/F50, and ‘Young Research Talent’ 274760 to M.J.O.) and the Norwegian Cancer Society (182767 to M.J.O.). MMA is the recipient of a Marie Skłodowska-Curie IF (DLV-794391).
The authors declare no competing interests.
Peer review information Nature Communications thanks Kari Basso, Michael Blennerhassett and the other anonymous reviewer(s) for their contribution to the peer review this work. Peer reviewer reports are available.
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Martín-Alonso, M., Iqbal, S., Vornewald, P.M. et al. Smooth muscle-specific MMP17 (MT4-MMP) regulates the intestinal stem cell niche and regeneration after damage. Nat Commun 12, 6741 (2021). https://doi.org/10.1038/s41467-021-26904-6