Abstract
Growth of long bones and vertebrae is maintained postnatally by a long-lasting pool of progenitor cells. Little is known about the molecular mechanisms that regulate the output and maintenance of the cells that give rise to mature cartilage. Here we demonstrate that postnatal chondrocyte-specific deletion of a transcription factor Stat3 results in severely reduced proliferation coupled with increased hypertrophy, growth plate fusion, stunting and signs of progressive dysfunction of the articular cartilage. This effect is dimorphic, with females more strongly affected than males. Chondrocyte-specific deletion of the IL-6 family cytokine receptor gp130, which activates Stat3, phenocopied Stat3-deletion; deletion of Lifr, one of many co-receptors that signals through gp130, resulted in a milder phenotype. These data define a molecular circuit that regulates chondrogenic cell maintenance and output and reveals a pivotal positive function of IL-6 family cytokines in the skeletal system with direct implications for skeletal development and regeneration.
Subject terms: Stem-cell differentiation, Cartilage development, Bone development
Liu et al. demonstrate the role of gp130/STAT3 signalling in the development and homeostasis of chondrocytes in the growth plate and articular cartilage. The authors report that tamoxifen-induced deletion of STAT3 or gp130 in chondrocytes after birth results in defective chondrocyte proliferation, growth plate fusion and stunting, and signs of progressive dysfunction of the articular cartilage, with female mice more strongly affected than males.
Introduction
The continual growth of long bones and vertebrae is fueled by chondrogenic stem and progenitor cells in the growth plate1. Beginning in embryogenesis and continuing through adolescence, these chondroprogenitors provide a steady stream of progeny that undergo endochondral ossification and contribute to bone growth2. Chondrocytes enter a phase of rapid division as they leave the resting zone of the growth plate, forming characteristic columns of mitotic cells that begin to secrete increased levels of extracellular matrix (ECM) proteins such as collagen II and aggrecan3. Once their distance from the niche within the resting zone increases to its maximum extent, they become hypertrophic, deposit lower amounts of ECM, and begin secreting collagen X and alkaline phosphatase, which is essential for calcification of the ECM4. Once surrounded by calcified matrix, these chondrocytes either undergo apoptosis or transdifferentiate into osteoprogenitors5; osteoprogenitors derived from the growth plate, or invading from the periosteum, differentiate into osteoblasts and secrete bone matrix. Endochondral ossification takes place during fracture repair, with similar coordinated cellular dynamics6.
In humans, growth plates become inactive at the end of puberty, resulting in replacement with bone; this occurs earlier in the long bones than in the spine7. Females undergo growth plate fusion an average of 2 years earlier than males, suggesting sexually dimorphic regulation of chondroprogenitors8. In mice, growth plates in the long bones and spine persist throughout the lifespan of the animal, providing an opportunity to study how specific molecular pathways impact the dynamics of chondroprogenitors. Recently, Newton et al. defined a population of chondrogenic cells localized to the growth plate that generate clonal progeny and support long bone growth9. Their data supported previous work showing that Hedgehog (Hh) signaling is required for growth plate maintenance; if this pathway is inhibited, growth plates fuse and differentiate into trabecular bone10. These results highlight the need for controlled, sustained proliferation of chondroprogenitors to maintain active growth plates.
Data from our group has shown that the transcription factor STAT3 regulates human chondrocyte proliferation at both fetal and adult stages11,12. Chondrocytes enriched for active STAT3 are more proliferative and are also enriched for SOX9 protein, the master regulator of chondrogenesis, while evidencing negligible levels of the osteogenic transcription factor RUNX212. Inhibition of either Il6ST (gp130), the obligate co-receptor for all IL-6 family cytokines, or LIFR which heterodimerizes with gp130 to facilitate LIF signaling, greatly reduced chondrocyte proliferation and STAT3 activation, respectively11. Inhibition of STAT3 activity in human fetal chondrocytes greatly reduced proliferation while increasing apoptosis, suggesting an important role for this molecule and the signaling mediated by gp130 in developmental chondrogenesis11. This is supported by data from zebrafish, in which stat3 null fish evidence fully penetrant scoliosis, reduced proliferation and increased apoptosis13. Moreover, deletion of Stat3 in mesodermal and early skeletal tissues using T-Cre and Prrx1-Cre, respectively, caused dwarfism, skeletal abnormalities and kyphosis; the authors did not assess proliferation, but did observe significantly reduced SOX9 levels in Stat3−/− chondrocytes14. They went on to show that stimulation with the IL-6 family cytokine oncostatin M (OSM), which can signal through a LIFR/gp130 complex and/or a OSMR/gp130 complex15, could increase both STAT3 activation and SOX9 levels in vitro. Few of these animals survived past P7, precluding the analysis of chondroprogenitors at later stages of growth plate function. Together, these studies identify an important role for STAT3 in regulating developing chondrocyte proliferation and apoptosis. However, the function of STAT3 in postnatal developing chondrocytes, the upstream regulators of this transcription factor and the potential role of STAT3 in the sexual dimorphism of growth plate closure remain to be elucidated.
Here we show that postnatal deletion of Stat3 in chondrocytes using Acan-CreERT2 results in decreased proliferation, increased hypertrophy and apoptosis, stunting and growth plate fusions in the long bones and the spine. Female mice are more strongly impacted than males. We also demonstrate that chondrocyte-specific deletion of Stat3 results in progressive dysfunction of articular cartilage, although this compartment appears to be less affected than the growth plate. Deletion of gp130, the obligate co-receptor for all IL-6 cytokines in postnatal chondrocytes mostly phenocopies deletion of Stat3, while deletion of Lifr results in a milder phenotype. Conversely, Stat3 overexpression in postnatal chondrocytes resulted in hyperproliferation and skeletal abnormalities and rescued the thin growth plates observed in gp130 deletion mutants. Finally, we show that estradiol increases STAT3 levels and activity in vitro and inhibition of estrogen signaling in female mice reduces Stat3 levels and activation, suggesting a potential mechanism behind the dimorphic effects seen following Stat3 deletion in mice. Collectively, these data define Stat3 as a regulator of postnatal chondrocyte cell proliferation, differentiation and survival and implicates IL-6 family cytokine signaling as a positive regulator of chondrogenic cell proliferation and maintenance.
Results
Stat3 promotes proliferation and survival in postnatal growth plate chondrocytes
During development, chondrocytes form a highly proliferative blastema to supply rapidly growing limbs16. We have recently published a survey of the human chondrocyte transcriptome throughout ontogeny, spanning early embryonic development through adult stages12. Interrogation of this longitudinal data set for IL-6 family cytokines and receptors, known regulators of STAT3 activity, demonstrated consistent expression of gp130 and stage-specific expression of LIF to fetal and adolescent stages, during which growth plates are active in humans (Supplementary Fig. 1). To understand the function of STAT3 during these stages, we knocked down STAT3 gene expression with lentiviral shRNA in human fetal chondrocytes isolated from the interzone at 15–17 weeks of development and compared their transcriptome to control cells (Fig. 1a). Gene ontology analysis17,18 of the genes significantly enriched (>1.5 fold, p < 0.05) in control vs. STAT3-depleted cells yielded categories related to matrix anabolism and secretion as well as proliferation, confirming our earlier results11 and further suggesting a relationship between STAT3 activity and chondrocyte proliferation and matrix protein production. Genes downregulated upon STAT3 knockdown included ACAN, COL2A1, MATN3 and MATN4 (Supplementary Data 1). To assess the function of STAT3 in vivo, we crossed Stat3fl/fl mice19 with the Acan-CreERT2 strain20, enabling tamoxifen-inducible deletion of Stat3 in chondrocytes with a single allele of Acan-CreERT2. Pups were administered tamoxifen at postnatal days 2 and 3 (P2 and P3) by gavage and then skeletal phenotypes were assessed at stages corresponding to sexual immaturity and maturity, skeletal maturity and early aging (1, 3, 6, and 9 months of age, respectively; Fig. 1b, c). Compared to Stat3fl/fl littermate controls, Stat3 mutants survived at equivalent rates but exhibited significant decreases in body weight and were proportionally smaller at all ages examined. Notably, females were more strongly affected then males at 3 and 9 months and evidenced a non-significant trend at 6 months as well (Fig. 1d); levels of Acan mRNA and protein were not different between females and males at the time of induction (Supplementary Fig. 2). To assess if there were sex-specific differences in the levels of Stat3 protein, we stained the growth plates of wild type female and male mice for Stat3 using immunohistochemistry (IHC); these data demonstrated that not only was there more Stat3 in female growth plates, but in both sexes Stat3 was mostly localized to the resting and proliferative zones of the growth plate (Fig. 1e). We then isolated sternal chondrocytes from the xiphoid process of both female and male wild type mice and quantified protein by Western blot. These data (Fig. 1f) demonstrated a clear enrichment for both total and active (phosphorylated; p) Stat3 in female mice, which may contribute to the observed dimorphism in reliance upon Stat3 for growth.
Based on the size differences between Acan-Cre+/ERT2;Stat3fl/fl mice and controls as early as 1 month, we measured the width of each zone in the growth plate in control and Stat3 deletion mutants at this age (Fig. 2a,b); given the potential for insertion of CreERT2 into the Acan locus to disrupt skeletal development, we also verified that mice bearing a single allele of Acan-CreERT2 were not affected as has been previously published21,22. These data revealed no differences between Acan-Cre+/ERT2;Stat3fl/fl and control animals in the resting zone where chondroprogenitors localize9; however, the length of the proliferative zone was significantly reduced in Stat3 deleted animals, concurrent with an increase in the pre-hypertrophic and hypertrophic zones (Fig. 2a, b). To validate the independence of the observed phenotype from the Cre line used to delete Stat3, we also generated both Col2a1-Cre;Stat3fl/fl as well as Gli1-Cre+/ERT2;Stat3 fl/fl mice. In the former, Cre is expressed constitutively in chondrocytes, resulting in Stat3 deletion during mid-embryogenesis. At 3 months, both Col2a1-Cre;Stat3fl/fl female and male mice were visibly smaller than Stat3fl/fl control animals, and microCT measurements of femoral length demonstrated significant shortening of femurs in Stat3 deleted animals (Supplementary Fig. 3a); there was a non-significant trend for females to be more impacted than males (Supplementary Fig. 3b). Growth plates were also impacted, with significantly reduced widths and bony bridges evident (Supplementary Fig. 3c, d). In Gli1-Cre+/ERT2;Stat3 fl/fl animals induced with tamoxifen at P2/P3 analyzed at 1 month of age, mice were visibly smaller and growth plates were significantly thinner in both females and males as compared to controls (Fig. 2d–f).
To assess the cellular basis for the observed growth retardation and disruptions in the zonal architecture of the growth plate, we measured the thickness of the proximal tibial growth plates at multiple stages following early postnatal deletion of Stat3. At one month of age, both female and male mice lacking Stat3 demonstrated reductions in total growth plate thickness; these deficits persisted with advancing age. Beginning at 3 months we observed growth plate fusions in Stat3 mutants of both sexes (Fig. 3a, b), which were significantly more frequent in females at 3 months (Supplementary Fig. 3e). These fusions were more frequent in older animals, suggesting a progressive loss of growth plate chondrocytes and potential replacement by bone. To validate this, we conducted microCT analysis of Acan-Cre+/ERT2;Stat3fl/fl and Stat3fl/fl control animals at 6 months following postnatal deletion at P2/P3; this analysis revealed significantly greater bone density in the proximal tibial epiphysis of Stat3 deleted females and males compared to controls (Supplementary Fig. 4). To better assess the cellular basis underlying thinner growth plates and the reduced size of the proliferative zone observed at 1 month, we injected EdU into 3 month old animals for 4 consecutive days before analysis (Fig. 3d); these data showed significantly fewer proliferating cells in the growth plates of Acan-Cre+/ERT2;Stat3fl/fl animals as compared to Stat3fl/fl controls. Finally, based on the acknowledged function of Stat3 as an anti-apoptotic factor11,23 we assessed the rate of cell death in growth plates of Stat3 deleted and control animals at 6 months following tamoxifen administration at P2/P3. Stat3 null chondrocytes evidenced significantly more apoptosis (Fig. 3e). Together, these data support a role for Stat3 in promoting chondrocyte proliferation and survival to maintain growth rates of the long bones, and also suggest a role for Stat3 in inhibiting epiphyseal bone formation in the distal region of the growth plate.
Stat3 is required for vertebral endplate integrity
In the spine, chondroprogenitors located in the vertebral endplates produce chondrocytes that form growth plates24,25; this mechanism is very similar to that found in long bones. Based on the shorter stature of Stat3 deleted mice (Fig. 1), we examined vertebral elements in Acan-Cre+/ERT2;Stat3fl/fl and control Stat3fl/fl mice at several ages following induction with tamoxifen at P2/P3. Acan-CreERT2 targets the endplates, annulus fibrosis, and nucleus pulposus20. Similar to the tibial growth plate, Stat3 protein activation was localized to the proliferative zone and was enriched in female vs. male mice at 1 month (Supplementary Fig. 5). Moreover, the height of the vertebral bodies was significantly shorter in Stat3 deleted mice as early as one month of age (Fig. 4a–d). Control animals had organized vertebral structures at all stages examined between 1 and 9 months. Cartilaginous endplates had clear, continuous borders and the formation of annular lamellae was observed. The nucleus pulposus had a rich proteoglycan matrix with sparse notochordal cells. In contrast in Stat3 deleted mice, starting at 3 months we observed a loss in continuity of both cranial and caudal endplates (Fig. 4c, d). Structural degradation of the annulus was evidenced by a loss of collagen-rich lamellae. Within the nucleus pulposus, degradation was characterized by the loss of proteoglycan matrix, an appearance of large void spaces and loss of apparent nucleus and notochordal cell morphology. The progressive loss of endplate integrity in Stat3 mutants, followed by alterations in the nucleus pulposus, were strikingly similar to those observed in mice with postnatal deletion of Sox9 via Acan-CreERT2 26.
We conducted microCT imaging to characterize the extent of the axial skeletal phenotype in Stat3 mutant mice. Stat3 deleted animals showed a reduction in the vertebral height in both lumbar and sacral regions, as well as changes in endplate structure (Fig. 4d). This was consistent in both genders. Both anterior and posterior vertebral heights from L1 to L6 were reduced in the Stat3 mutants compared to controls (Supplementary Data 2 and Supplementary Table 1), ranging from 19-37% reduction. Mice lacking Stat3 had a larger endplate surface area for both cranial and caudal endplates compared to control mice (Supplementary Data 2), ranging from 9–31% larger. Intervertebral disc anteroposterior and transverse length did not differ between Stat3 deleted and control animals. We then conducted geometric morphometric (GM) mapping of the sacrum and pelvis to gain additional understanding of how loss of Stat3 in chondrocytes impacted overall skeletal form. For the sacrum, 34 anatomical landmarks were defined based on current best practices27–29 and their exact 3D coordinates defined (see “Materials and methods”, Supplementary Fig. 6). Variation among landmark configurations and shape were explored via principal component analysis30 (PCA; Fig. 4e). Mice were clearly segregated along PC1 based on their genotype, confirming widespread changes in skeletal morphology following early postnatal deletion of Stat3. To visualize these differences, thin-plate spline analysis31 was used to project aberrations from normal on 3D renderings of control and Stat3 deleted male sacra (Fig. 4f). A similar analysis of pelvic structure confirmed broad and consistent skeletal malformations in mutant animals (Supplementary Fig. 7). These “heat map” images provide a quantitative visual representation of how specific skeletal structures change following the loss of Stat3, reinforcing the role of Stat3 in contributing to regulated chondrocyte proliferation and survival in growth plates throughout the body.
Stat3 is required for maintenance of articular cartilage
In postnatal mouse articular cartilage, chondrocyte proliferation rates are in the low single digit range32; cartilage expands via increases in cell volume and matrix production rather than cell division. Our in vitro data from human chondrocytes suggest STAT3 increases expression of ECM genes (Fig. 1a). Thus, we hypothesized Stat3 may function in articular cartilage maintenance by supporting matrix protein production and stability. Analysis of articular cartilage in Acan-Cre+/ERT2;Stat3fl/fl mice revealed a progressive loss of proteoglycans at the articular surface compared to control mice (Fig. 5a, b). This phenotype was exacerbated in female mice, in agreement with the results from the growth plate analysis. Loss of Safranin O was clearly evident beginning at 3 months of age in females, compared to 6 months in males. Almost all Safranin O+ matrix was lost in Stat3 deleted mice by 6 months of age in females vs. 9 months for males. Concomitant with accelerated loss of proteoglycans, Stat3 deletion resulted in increased detection of aggrecan neoepitope, an antigen present when the proteoglycan aggrecan is cleaved and degraded, at 6 months of age (Fig. 5c, d). In addition, substantial apoptosis was detected in both sexes at 9 months (Supplementary Fig. 8), We also detected increased expression of markers of hypertrophy in the absence of Stat3 including Runx2 and collagen X, indicating a mild degenerative process present in the joint33, coupled with decreased expression of Sox9 (Supplementary Fig. 8). However, no obvious signs of articular cartilage surface fibrillations, osteophytes or joint inflammation was observed at any of the investigated stages. Together, these data describe a role for Stat3 in articular chondrocytes in maintaining ECM homeostasis and preventing adoption of a hypertrophic, arthritic-prone state.
Stat3 inhibits hypertrophy and maintains a proliferative state in Sox9+ chondrocytes
Chondrogenesis is dependent on transcription factors of the Sox family. Sox9 is essential for chondrogenesis34, while Sox5 and Sox6 act downstream of Sox9 to promote proliferation and inhibit hypertrophy of chondrocytes35. In order to better assess the molecular consequences of postnatal Stat3 deletion, we sorted cells negative for blood and endothelial markers from Acan-Cre+/ERT2;Stat3fl/fl and control Stat3fl/fl knee joints and performed scRNA-seq; we first verified the dissection strategy would maximize capture of chondrocytes by examining Sox9-GFP mice36 (Fig. 6a). Knee joints from 2–3 female mice of each genotype were digested and pooled, and live, lineage-negative cells were sorted (Fig. 6b) and analyzed at the single-cell level. We focused our analysis on chondrocytes defined by expression of Sox9 and Col2a1; unbiased clustering of chondrocytes expressing both genes from Acan-Cre+/ERT2;Stat3fl/fl and control Stat3fl/fl animals via a tSNE plot suggested clustering independent of cofounding variables as well as some potential differences between the genotypes (Supplementary Fig. 9 and Fig. 6c). Recently, Li et al. analyzed growth plate zone-specific gene regulation at the single-cell level at postnatal day 737; they identified genes whose expression was enriched in the proliferative and pre-hypertrophic/hypertrophic zones. Based on our data showing increases in the hypertrophic zone and bone density in the proximal epiphysis of Acan-Cre+/ERT2;Stat3fl/fl mice compared to controls, we assessed expression levels of genes identified by Li et al., as well as known regulators of each zone, in the scRNA-seq data generated here. This analysis demonstrated highly significant enrichment of genes associated with chondrocyte maturation and hypertrophy in the absence of Stat3 (Fig. 6d, f), while genes such as Sox5/6 that promote proliferation in immature chondrocytes were significantly enriched in control Stat3fl/fl chondrocytes (Fig. 6e, f). In parallel, we conducted unbiased k-means clustering to assess potential changes in chondrocyte populations upon deletion of Stat3. This analysis defined 6 clusters, 4 of which evidenced some bias in their constitution by either genotype (Supplementary Fig. 10b, c). Based on previously published data38,39, we speculatively annotated these clusters as columnar chondrocytes (clusters 2 and 4), resting chondrocytes (cluster 3) and osteoprogenitors (cluster 6); as expected from the growth plate phenotype, Stat3 deficient cells were underreprented in clusters 2 and 4 and overrepresented in cluster 6. Cluster 2 also demonstrated a proliferative signature, further supporting the function of Stat3 in promoting chondrocyte cell division (Supplementary Fig. 9e); moreover, the moderate enrichment of Stat3−/− cells in cluster 3 could suggest a defect in proliferation in the resting zone in mutant mice. Together, these data confirm at the transcriptional level that Stat3 is required to suppress chondrocyte maturation and promote continued output of immature chondrocytes from the resting zone.
Stat3 acts downstream of gp130 to maintain output from immature chondrocytes
Many receptor tyrosine kinases, including EGFR40, PDGFR41 and GHR42 among others, can activate STAT3 through various signaling cascades. Based on our previous in vitro studies in articular chondrocytes11, we hypothesized that gp130, an obligate receptor for IL-6 family cytokines, may function upstream of Stat3 activation in immature chondrocytes. We found that RCGD 423, a small molecule modulator of gp130 that increases activation of Stat3, increased proliferation of articular chondrocytes11 without activation of ECM catabolism. Analysis of gp130 expression in the growth plate of wild type mice at 1 month demonstrated enrichment in the resting and proliferative zones, similar to the expression pattern of Stat3 (Supplementary Fig. 11a). Accordingly, we crossed Acan-Cre+/ERT2 mice to gp130fl/fl mice43 and administered tamoxifen at P2/P3 to ablate gp130 postnatally in chondrocytes. At all ages examined, there was significantly reduced growth plate thickness in both female and male gp130 deleted mice compared to gp130fl/fl controls, including frequent disruptions in growth plate integrity by 3 months (Fig. 7a–c); as was observed in Stat3 deleted animals, growth plate fusions were significantly more frequent in females at 3 months (Supplementary Fig. 11b). Quantification of growth plate zones at 1 month yielded similar results to deletion of Stat3 in chondrocytes, demonstrating a highly significant decrease in the thickness of the proliferative zone and increases in the more mature pre-hypertrophic and hypertrophic zones in gp130 mutants (Supplementary Fig. 11c, d). Additionally, vertebral bodies (Supplementary Fig. 12a, b) were shorter with concomitant severe disruption of growth plates in Acan-Cre+/ERT2;gp130flfl mice compared to gp130fl/fl controls (Fig. 7d, e). Analysis of the articular cartilage in gp130 deleted animals also demonstrated a similar phenotype as found in Acan-Cre+/ERT2;Stat3fl/fl mice, with progressive loss of proteoglycans in both female and male mice, with earlier loss in females (Supplementary Fig. 13). These data, which mostly phenocopy the results of Stat3 deletion in chondrocytes, suggest a gp130/Stat3 signaling circuit that is required for chondrocyte proliferation, prevention of hypertrophy and maintenance of matrix synthesis.
In parallel, we also generated Acan-Cre+/ERT2;Lifrflfl mice, as data from us and others has clearly indicated a role for Lifr/gp130 signaling in skeletal development in mice11,44 and humans16,45. Analysis of Lifr expression in growth plates confirmed a similar expression pattern in the resting and proliferative zones as defined for Stat3 and gp130 (Supplementary Fig. 11a). Analysis of growth plates of Acan-Cre+/ERT2;Lifrflfl mice vs. Lifrfl/fl controls at all ages demonstrated reduced thickness in female and male mice (Fig. 8a–c); at 1 month, the imbalance of the proliferative and hypertrophic zones of the growth plate observed in Stat3 and gp130 mutant animals was also present in Lifr deleted mice (Supplementary Fig. 11). However, in general the skeletal phenotype was milder than Stat3 and gp130 deleted mice, as bony bridges of the growth plate were infrequently observed even at 9 months and the articular cartilage, vertebral bodies and growth plates of Acan-Cre+/ERT2;Lifrfl/fl mice were not as severely impacted (Fig. 8d, e and Supplementary Figs. 12 and 13). These results suggest a role for Lifr to mediate IL-6 family cytokine-mediated activation of Stat3 in chondrocytes to promote maintenance of the growth plate, but demonstrate that other receptors are also required.
Stat3 overexpression promotes excessive chondrocyte proliferation and rescues growth plate deficiencies observed in gp130 deleted mice
Postnatal loss of Stat3 in chondrocytes resulted in premature closure of growth plates accompanied by reduced proliferation and survival of chondrocytes, suggesting this transcription factor is necessary to maintain appropriate mitotic rates. To assess the capacity of Stat3 to elicit a proliferative response, we crossed Acan-Cre+/ERT2 animals with mice carrying a conditional, constitutively active allele of Stat3 (Stat3C) under the control of the Rosa26 promoter46. In these animals, activation of Cre results in excision of a STOP cassette upstream of the Stat3C sequence. Analysis of Acan-Cre+/ERT2;Rosa26-Stat3Cfl/+ mice treated with tamoxifen at P2/P3 and analyzed at 1 month of age revealed dramatic hypercellularity in proximal tibial growth plates (Fig. 9a); hypercellularity was also apparent in the superficial zone and deeper layers in articular cartilage (Fig. 9b). Hyperproliferation in the growth plate was confirmed by EdU incorporation in Acan-Cre+/ERT2;Rosa26-Stat3Cfl/fl mice (Fig. 9c), with significantly more EdU+ chondrocytes present in Stat3C overexpressing mice as compared to Rosa26-Stat3Cfl/fl controls. There are also more dividing cells in articular cartilage of Stat3C overexpressing animals at 3 months, although this was not as dramatic as in the growth plate (Supplementary Fig. 14). As Stat3 is a known mediator of signaling downstream of gp130 and our data demonstrated similar phenotypes in the growth plates of Stat3 and gp130 postnatal deletion mutants, we hypothesized that constitutive activation of Stat3 could rescue the defects in proliferation found in Acan-Cre+/ERT2;gp130fl/fl mice. We generated Acan-Cre+/ERT2;gp130fl/flRosa26-Stat3Cfl/+ animals and compared their growth plates to Acan-Cre+/ERT2;gp130fl/fl mice at 1 month. In both female and male mice, overexpression of Stat3C in chondrocytes could completely rescue the diminished growth plates in gp130 deleted mice (Fig. 9d). These data indicate that gp130-mediated activation of Stat3 is required for chondrocyte proliferation, and show that Stat3 is sufficient to promote proliferation in a context-dependent fashion as increased mitosis was most prominent in chondrocytes that normally have the greatest capacity to divide.
Estrogen increases Stat3 expression and activation in chondrocytes
A relationship between sex hormones and chondrogenesis is well established. In humans, estrogen is responsible in both females and males for accelerating growth at puberty and eventually driving the closure of growth plates; females tend to begin the pubertal growth spurt earlier than males and have higher levels of estradiol at this age (reviewed in47). Based on the dimorphic difference in body size at 3 months in Acan-CreERT2;Stat3fl/fl females and males, we hypothesized that estrogen may regulate Stat3 levels and/or activity. To address this, we isolated porcine articular chondrocytes from female and male animals and treated them with different levels of estradiol (E2) in vitro. These data demonstrated that both female (Fig. 10a) and male (Fig. 10b) articular chondrocytes upregulated STAT3 proteins levels and activity in response to E2, though female chondrocytes demonstrated a maximal response at 0.1 µM while male chondrocytes responded in a dose-dependent manner. To assess the impact of estrogen levels on Stat3 in vivo, the clinically-used small molecule aromatase inhibitor Letrozole (which results in lower estradiol levels) was injected intraperitoneally daily for 7 days into sexually mature female mice. Analysis of sternal chondrocytes revealed that Letrozole reduced both Stat3 levels and activity. Taken together, these data suggest that the enhanced estrogen levels present in growing female mice lead to a differential requirement for Stat3 to enhance skeletal growth.
Discussion
Here we show that Stat3 is a critical factor controlling the proliferation, survival, maturation and matrix production of chondrocytes in growth plates and articular cartilage. Animals lacking Stat3 in chondrocytes following postnatal deletion are proportionately smaller than control animals and evidence significantly reduced EdU incorporation, coupled with thinner proliferative zones and increased apoptosis; by 9 months of age, all mice had abnormal growth plate fusions in both appendicular and axial skeletal elements, with increased frequency of fusions found in females. Articular cartilage was also affected, displaying a mild degenerative and pre-hypertrophic phenotype. Females tended to have a more severe phenotype than males, with a more reduced body size than males at 3 months, earlier and more frequent fusions in the growth plate and accelerated changes in the articular cartilage. Stat3 null chondrocytes were enriched for expression of genes previously associated with maturation in the growth plate and concurrently evidenced diminished expression of genes associated with immature, proliferative chondrocytes. We also showed that deletion of the obligate receptor for IL-6 family cytokines gp130 in chondrocytes postnatally phenocopied loss of Stat3, nominating a role for gp130-Stat3 signaling in regulating immature chondrocyte maintenance; deletion of Lifr resulted in a much milder phenotype, potentially due to compensation by other alpha-receptors. Expression of a constitutively active form of Stat3 from the Rosa26 locus led to excessive proliferation of chondroprogenitors and chondrocytes and rescued the diminutive growth plates found in gp130 deleted mice, demonstrating Stat3 is both necessary and sufficient to promote cell division in permissive chondrogenic cells. Finally, we showed that estradiol can regulate Stat3 levels and activity in vitro and in vivo, identifying a potential mechanism of growth acceleration in females during longitudinal bone growth. Together, these data unveil IL-6 family cytokine signaling via gp130-Stat3 as a major regulator of postnatal chondrocyte biology.
Regulation of postnatal bone growth via endochondral ossification has been investigated by several groups using transgenic mice. Deletion of Sox9, the master regulator of chondrogenesis, at early postnatal stages resulted in death of the animals48; however, deletion at P18 and later using Acan-CreERT2 produced mice with similar phenotypes to those we report here including growth plate shortening and fusions concomitant with reduced proliferation and increased apoptosis, compressed vertebral body heights and pre-arthritic changes in articular cartilage48. Some aspects of the phenotype they observed were more severe than in Stat3 deleted mice, including very rapid loss of matrix secretion proximate to deletion of Sox9. Interestingly, Hall et al. demonstrated that STAT3 could bind to the Sox9 promoter and activate transcription, which may explain some of the phenotypic overlaps14. Indeed, deletion of Stat3 greatly reduced expression of Sox9 in the articular cartilage (Supplementary Fig. 8). Moreover, deletion of Sox9 using Acan-CreERT2 in mice 3 months of age resulted in loss of verterbral endplate integrity coupled with growth plate fusions followed by increases in fibrosis and apoptosis in the nucleus pulposus26; these data are strikingly similar to the phenotypes reported here and reinforce the concept of a gene regulatory loop involving Stat3 and Sox9 that controls chondroprogenitor output. Although not inducible, another transgenic mouse that evidenced growth plate fusions and mild dwarfism was created by Sims et al., in which the intracellular motifs of gp130 that interact with Stat3 were deleted49. By 4 months of age, these mice had femoral lengths an average of 20% less than wild type controls, frequent growth plate fusions and significantly reduced proliferative zones in the growth plate. The authors did not note any vertebral defects, nor whether there were differences between males and females. Furthermore, given the constitutive nature of this knock-in model, it could not be determined whether the effects on cartilage were direct, and at what developmental stage of chondrogenesis the gp130/Stat3 circuit might be required. Additionally, manipulation of Hh signaling can also result in fusion of tibial and vertebral growth plates, either via antagonizing Shh10 or genetic ablation of Ihh in chondrocytes50; it remains to be determined whether there is interaction between Hh signaling and gp130/Stat3. The data presented here provide clear evidence that gp130/Stat3 signaling is required postnatally in chondrocytes to coordinate proliferation and differentiation, either independently of or potentially in concert with known regulators.
Our data from Stat3 deleted mice reveal a sexually dimorphic response. Stat3 has been implicated in sex-specific responses to ischemia in both the heart51 and brain52, with increases in Stat3 phosphorylation directly mediated by stimulation with estradiol. The data presented here suggest that estradiol may increase Stat3 levels and activity during the pubertal growth spurt; estradiol levels spike in female C57/B6 mice at 28–30 days53. In uninjured brains, Di Domenico et al. identified several differences in female vs. male neurons that depended on Stat3 using a proteomics approach; many of these proteins have been associated with cellular metabolism54, consistent with known functions of Stat3 in mitochondrial55 and glycolytic metabolism56. Stat5a and Stat5b, other members of the same transcription factor family, have demonstrated roles in regulating sexually dimorphic gene expression downstream of growth hormone in the liver57. Together, these data support the feasibility of a sex-specific role for Stat3 in enhancing skeletal growth and potentially maintenance that should be explored further.
Growth of the long bones and spine depend upon regulated output from chondroprogenitor cells located in growth plates. In humans, these structures support growth throughout childhood and adolescence, at which point increases in sex hormones are partially responsible for terminal differentiation of chondroprogenitors and closure of growth plates58. Abnormalities in the output from chondroprogenitors often manifest in visible alterations in skeletal size. Gigantism can occur when too much growth hormone is present during childhood and adolescence, resulting in excessive linear growth; this condition is treated clinically with a peptide that mimics somatotropin, a hormone that represses growth hormone secretion59. In contrast, chondrodysplasias that result in below average stature can result from myriad inherited or developed conditions. Mutations in the FGFR3 gene that produce constitutively active protein are associated with several skeletal conditions including achondroplasia and hypochondroplasia60, while inactivating mutations in LIFR or IL6ST (encodes gp130) genes cause Stuve-Wiedemann syndrome45,61. Moreover, short stature is frequently found in children with chronic inflammatory conditions such as Crohn’s disease and ulcerative colitis which are mediated by excessive levels of pro-inflammatory cytokines including IL-662. Here we showed that Lifr deletion specifically in chondrocytes evidenced a noticeably milder phenotype than Acan-CreERT2-mediated deletion of Stat3 or gp130, as well as a much weaker skeletal phenotype than seen in global, constitutive deletion of Lifr in mice44 or germline mutation in humans. We hypothesize that oncostatin M receptor (Osmr), through which Lif can also signal after heterodimerization with gp130, can compensate for Lifr deletion in chondrocytes. Our data from human ontogeny show abundant expression of OSMR at relevant stages of human ontogeny (Supplementary Fig. 1). Also, Lifr has clear functions in osteoblasts and osteoclasts44, and these functions outside the chondrogenic lineage could impact skeletal development. Finally, Stat3 is downstream of growth hormone receptor, FGFR3 and epidermal growth factor receptor (EGFR) activation as well as IL-6/gp130 signaling, reinforcing the relevance of the current work showing that the correct dosage of Stat3 activity is essential for regulating immature chondrocyte cell fate.
Classically, IL-6/gp130/STAT3 signaling has been viewed as a negative regulator of chondrocyte biology and function and is broadly discussed in the context of arthritis and other inflammatory diseases. IL-6 signaling through IL-6R/gp130 suppresses chondrocyte proliferation63, promotes mineralization in articular cartilage64, downregulates expression of matrix proteins and increases expression of matrix-degrading proteases65. Moreover, blockade of IL-6 in vivo in mouse models of osteoarthritis (OA) has been shown to be chondroprotective66,67. Importantly, higher serum levels of IL-6 have been correlated with the development of OA in humans, highlighting the potential for systemic inflammation levels to contribute to local disease; a monoclonal antibody against IL-6R is currently in Phase III clinical trials for treatment of hand OA (NCT02477059). Furthermore, inhibition of Stat3 downstream of exogenous IL-6 is chondroprotective, reducing the severity of OA-like pathology in a mouse model66. However, analysis of phenotypes associated with Stat3, gp130 and Lifr deletion in chondrocytes during homeostasis reveal essential roles for this pathway in chondroprogenitor proliferation and maintenance. This is reinforced by analysis of patients diagnosed with juvenile arthritis treated with the monoclonal anti-IL-6R antibody Tocilizumab; many of these individuals achieved normalized growth rates when their serum IL-6 levels normalized68. It remains to be determined if the Stat3 targets and overall functions in decease and development are identical, or if these effects are context specific with the final outputs determined by signaling interactions with other pathways which are clearly dissimilar in normal growth and diseases. Our results demonstrating the essential role of calibrated gp130/Stat3 signaling in developing chondrocytes suggest that modulation of this axis could have therapeutic benefit in other conditions where growth plate and/or articular cartilage maintenance is impacted.
Materials and methods
Mouse lines and breeding
All procedures involving animals were approved by the Institutional Animal Care and Use Committee of USC. This study was compliant with all relevant ethical regulations regarding animal research. Mice with tamoxifen-regulated expression of the Cre recombinase under control of the chondrocyte-specific aggrecan (Acan) promotor (Acan-CreERT2) were purchased from JAX (strain 01914820) and used exclusively as heterozygotes (Acan-Cre+/ERT2). To delete Stat3, these mice were crossed with mice bearing floxed Stat3 alleles (Stat3fl/fl), also purchased from JAX (strain 01692323). To overexpress Stat3, mice carrying a floxed stop cassette followed by a constitutively active Stat3 allele in the Rosa26 locus (Rosa26-Stat3Cflfll; a kind gift from Dr. Sergei Koralov of New York University School of Medicine46) were crossed with Acan-Cre+/ERT2 mice. To delete Il6st (gp130), mice bearing floxed gp130 alleles (gp130fl/fl) were purchased from the Knockout Mouse Project (KOMP) Repository of University of California, Davis (Il6sttm1a(KOMP)Mbp) and were crossed with mice expressing Flp recombinase under the control of the constitutive Rosa26 promoter (JAX strain 00908669) to remove the Neo cassette. Animals negative for Flp recombinase were then crossed to Acan-Cre+/ERT2 mice. In vivo experiments were performed with cohoused littermate controls. Lifrfl/fl (Lifrtm1c(EUCOMM)Hmgu) cryopreserved frozen sperm were purchased from MRC Harwell Institute, The Mary Lyon Centre, UK. The mice were re-derived at USC. Col2a1-Cre mice were purchased from JAX (strain 00355470). Gli1-Cre+/ERT2 mice were purchased from JAX (strain 00791371). All animals were on a C57BL/6 background. Genotyping was performed according to protocols provided by JAX, KOMP and MRC.
STAT3 knockdown and gene expression analysis
Human fetal chondrocytes from the interzone were isolated as previously described16 from de-identified material from anonymous donors following informed consent; as no means of associating biospecimens with donors was possible, this does not meet the definition of human subjects research and is therefore exempt from ethical review. Passage 0 chondrocytes were cultured in vitro for 2–3 days before being infected with doxycycline inducible STAT3 shRNA or scrambled lentiviral particles (Dharmacon). One day later, doxycycline treatment commenced for a total of three days; fresh doxycycline was added daily. After three days, cells were sorted for RFP and mRNA was isolated with the RNeasy kit (Qiagen). Libraries (KAPA LTP kit, Roche) were prepared after RNA quality validation (Agilent Bioanalyzer 2100) and sequenced on a HiSeq3000 (Illumina). Raw sequencing reads were processed using Partek Flow Analysis Software. Briefly, raw unaligned reads were quality checked, trimmed and reads with a Phred quality score >20 were used for alignment. Trimmed reads were aligned to human genome version hg38 with Gencode release 29 annotations using STAR aligner (2.5.3a) with default parameters. Transcript levels were quantified to the annotation model using Partek’s optimization of the expectation-maximization algorithm using default parameters. Transcript counts were normalized using reads per kilobase million (RPKM) approach and transformed to log2(RPKM + 1). Differential expression gene expression analysis was performed by the DESeq2 R package72.
RNA extraction and quantitative real-time PCR
Total RNA was extracted using the RNeasy Mini Kit (Qiagen) and cDNA was amplified using the Maxima First Strand cDNA Synthesis Kit (Thermo Fisher). Power SYBR Green (Applied Biosystems) RT-PCR amplification and detection was performed using an Applied Biosystems Step One Plus Real-Time PCR machine. The comparative Ct method for relative quantification (2−ΔΔCt) was used to quantitate gene expression, where results were normalized to Rpl7 (ribosomal protein L7). Primer sequences used were: Col2a1—GGGTCACAGAGGTTACCCAG, ACCAGGGGAACCACTCTCA; Acan—GTGGAGCCGTGTTTCCAAG, AGATGCTGTTGACTCGAACCT and Rpl7—ACCGCACTGAGATTCGGATG, GAACCTTACGAACCTTTGGGC.
Western blot analysis
Non-treated xiphoid processes were carefully dissected from 2 month old male and female WT mice, ground and then dissolved in RIPA Lysis and Extraction Buffer (Pierce) containing protease inhibitors (Pierce) followed by sonication with a 15-s pulse at a power output of 2 using the VirSonic 100 (SP Industries Company). Protein concentrations were determined by BCA protein assay (Pierce) and boiled for 5 min with Laemmli Sample Buffer (Bio-Rad, Hercules, CA). Proteins were separated on acrylamide gels and analyzed by Western blot using primary antibodies: anti-STAT3 (9139), anti-pSTAT3 (9145) and anti-Histone H3 (9515; all from Cell Signaling and used at 1:1000). Histone H3 antibody was used as a loading control. Proteins were resolved with SDS-PAGE utilizing 4–15% Mini-PROTEAN TGX Precast Gels and transferred to Trans-Blot Turbo Transfer Packs with a 0.2-µm pore-size nitrocellulose membrane. The SDS-PAGE running buffer, 4–15% Mini-PROTEAN TGX Precast Gels, Trans-Blot Turbo Transfer Packs with a 0.2-µm pore-size nitrocellulose membrane were purchased from Bio-Rad. Nitrocellulose membranes were blocked in 5% nonfat milk in 0.05% (v/v) Tween 20 (Corning). Membranes were then incubated with primary antibodies overnight. After washing in PBS containing 0.05% (v/v) Tween 20 (PBST), membranes were incubated with secondary antibodies (31460 and 31430, Thermo Scientific; 1:3000). After washing, development was performed with the Clarity Western ECL Blotting Substrate (Bio-Rad) and images were quantified by ImageJ software.
Immunohistochemistry (IHC)
Limb and spine tissues were dissected and fixed in 10% formalin for 24 h. They were then decalcified with 14% EDTA, pH7.4, for 4–5 days at 4 °C, embedded in paraffin and cut at a thickness of 5 µm. Paraffin sections were deparaffinized and rehydrated by passage through xylene and 100, 95, and 70% ethanol. Antigen Retrieval was carried out in citrate buffer (pH 6.0) for 30 min at 60 °C. Sections were blocked with 2% normal horse serum in TBS for 1 h at room temperature and incubated with primary antibody in 1% BSA at 4 °C overnight. Slides were washed three times in TBS containing 0.05% (v/v) Tween 20 (TBST) for 5 min each and incubated at room temperature for an hour in secondary antibody-HRP (Vector Laboratories). Antibodies were then visualized by peroxidase substrate kit DAB (Vector Laboratories). Slides were viewed using a Zeiss Axio Imager.A2 Microscope and images were taken using an Axiocam 105 color camera with Zen 2 program. Standard microscope camera settings were used. Auto-exposure was used to normalize background light levels across all images. Protein expression was quantified using ImageJ by measuring number of positively labeled cells in each section normalized to total number of analyzed cells and expressed as a percentage of positive cells. Primary antibodies included the following: aggrecan neoepitope (Novus Biologicals; NB100-74350, 1:500), Runx2 (Santa Cruz Biotechnology; sc-390351, 1:100), collagen X (Abcam; ab58632, 1:1000), SOX9 (Abcam; 26414, 1:200), pStat3 (Cell Signaling; 9415, 1:50), Stat3 (Cell Signaling; 9139, 1:50; Cell Signaling; 12640, 1:100), gp130 (Biosis; bs-1459R, 1:300), Lifr (Biosis; bs-1458R, 1:800) and aggrecan (Abcam; ab36861, 1:200). For pStat3 IHC, EDTA antigen retrieval buffer, pH 8.0, at 90 °C for 40 min was used. Safranin O staining was performed as described73.
Determination of apoptosis and proliferation
TdT-mediated dUTP nick-end labeling (TUNEL) or EdU assays were performed by using in situ cell death detection kit (TUNEL, Promega Corporation, G3250) or EdU Click-iT® Assay Kit obtained from Thermo Fisher (C10639), respectively, as described in the manufacturer’s protocol. EdU (Abcam) was injected intraperitoneally daily at 25 mg/kg for 4 days (Acan-Cre+/ERT2;Stat3fl/fl mice) or 4 h (Acan-Cre+/ERT2;Rosa26-Stat3Cfl/fl) prior to sacrifice. Slides were counterstained with DAPI. Apoptosis and proliferation were evaluated by ImageJ analysis.
MicroCT data collection and analysis
Eight mice (2 per sex per genotype; Stat3fl/fl and Acan-Cre+/ERT2;Stat3fl/fl) were microCT scanned with a GE phoenix nanotom m X-ray nanoCT scanner with the following x-ray parameters to assess axial skeleton changes: 70 kV energy, 160 µA current, 1440 projection along 360-degree rotation, 1 frame per second, averaging 2 frames and skipping 1. Three consecutive scans were performed to cover whole mouse at 0.02 mm voxel resolution. All three initial scans were reconstructed using embedded software in the scanner. Visualization of 3D morphological structures and acquisition of measurements for quantification were performed using VGSTUDIO MAX 3.3 (Volume Graphics GmbH). Landmark-based data were collected from the lumbosacral region and pelvic girdle. Eight measurements were collected for each lumbar vertebra (Supplementary Table 3).
GM analysis was applied to assess phenotypic changes. A total of 34 sacral and 26 pelvic landmarks were obtained for the 3D GM analysis. The sacral landmarks utilized were: 1. The most cranioventral point on S1 (sacral vertebra) centrum on midsagittal plane; 2. The most craniodorsal point on S1 centrum on midsagittal plane; 3. The right ventrolateral point on S1 centrum outline cranially, where the ascendant part of ala starts at pedicle; 4. The left ventrolateral point on S1 centrum outline cranially, where the ascendant part of ala starts at pedicle; 5. The right dorsolateral point on S1 centrum outline cranially, where the ascendant part of ala starts at pedicle; 6. The left dorsolateral point on S1 centrum outline cranially, where the ascendant part of ala starts at pedicle; 7. The most cranial middle point on the right ala; 8. The most cranial middle point on the left ala; 9. The most cranioventral point on the right ala; 10. The most cranioventral point on the left ala; 11. The most craniodorsal point on the right ala; 12. The most craniodorsal point on the left ala; 13. The most caudal (deepest) point on the concave rim between the right ala and articular process; 14. The most caudal (deepest) point on the concave rim between the left ala and articular process; 15. The most craniomedial point on the right articular process; 16. The most craniomedial point on the left articular process; 17. The most craniodorsal point on the right articular process; 18. The most craniodorsal point on the left articular process; 19. The most cranial point on the dorsomedial S1 sacral canal wall; 20. The most cranioventral point on S2 centrum on midsagittal plane; 21. The most cranioventral point on S3 centrum on midsagittal plane; 22. The most cranioventral point on S4 centrum on midsagittal plane; 23. The most caudoventral point on S4 centrum on midsagittal plane; 24. The most craniodorsal point on S1 neural spine; 25. The most craniodorsal point on S2 neural spine; 26. The most caudodorsal point on S2 neural spine; 27. The most craniodorsal point on S3 neural spine; 28. The most caudodorsal point on S3 neural spine; 29. The most craniodorsal point on S4 neural spine; 30. The most caudodorsal point on S4 neural spine; 31. The most caudodorsal point on S4 centrum on midsagittal plane; 32. The right caudolateral point on S4 centrum on midcoronal plane; 33. The left caudolateral point on S4 centrum on midcoronal plane; 34. The most caudal point on the dorsomedial S4 sacral canal wall.
Pelvic landmarks utilized were: 1. The central point of iliac spine rugosity, site attachment for m. rectus femori; 2. The caudodorsal point on the auricular surface (sacroiliac articular surface); 3. The ventral point on the lower ilium at the same transversal cross section as landmark 2, the transversal section corresponds to the longitudinal axis of pelvis; 4. The lateral point on the lower ilium at the same transversal cross section as landmark 2, the transversal section corresponds to the longitudinal axis of pelvis; 5. The medial point on the lower ilium at the same transversal cross section as landmark 2, the transversal section corresponds to the longitudinal axis of pelvis; 6. The deepest point on the ischium where its process meets acetabulum; 7. The ischial spine; 8. The caudodorsal point on ischial tuberosity; 9. The caudolateral point on the ischiopubic ramus; 10. The caudomedial point on the ramus of the ischium; 11. The most caudal point on the pubic symphysis; 12. The most cranial point on the pubic symphysis; 13. The ventral point of the ilio-pubic eminence; 14. The deepest point on the angulation between ventral point of ilio-public eminence and the longitudinal axis of ilium; 15. The most caudoventral point on the auricular surface; 16. The most ventral point on the iliac crest; 17. The most lateral point on the iliac crest; 18. The most dorsal point on the iliac crest; 19. The most cranial point on the rim of the obturator foramen; 20. The most ventral point on the rim of the obturator foramen; 21. The most dorsal point on the rim of the obturator foramen; 22. The cranial point on the rim of articular surface of acetabulum, which is defined as a parallel projection from landmark 1 along the major axis of pelvis; 23. The caudal point on the rim of articular surface of acetabulum, directly across from landmark 8 along the long axis of the ischium; 24. The caudoventral point of the lunate surface of the of acetabulum; 25. The deepest center point of the acetabulum. 26. The craniodorsal point of the articular surface of the acetabulum, which is defined as the extension of the line connecting landmark 24 and 25.
Amira 2019.4 (FEI, Visualization Sciences Group) software was used to acquire the x, y and z coordinates for each landmark with accuracy of landmark size 0.1–0.2 mm. The visualization pattern of shape variance was performed using the interactive “MORPHOTOOLS” software74–76. The 3D coordinates of each landmarks were subjected to a generalized Procrustes analysis (GPA)77,78, which included translating, rotating, reflecting, and scaling them to a best least-squares fitting (GLS)79,80. Variation among landmark configurations and shape were explored via PCA81. Thin-plate spline analysis was used to warp surfaces on the basis of reference configuration and visualize the shape difference along the principal axis.
Three mice per sex per genotype (Stat3fl/fl and Acan-Cre+/ERT2;Stat3fl/fl) were microCT scanned for epiphyseal trabecular bone analysis. Image data were acquired as above and focused on the knee joint to obtain 10 µm pixel size resolution images in order to be able to calculate trabecular properties on the proximal epiphyseal segment of tibia. The X-ray parameters used for these 10 µm pixel size resolution images included: 70 kV energy, 120 µA current, and a voxel resolution of 10 µm. Each specimen rotated 360 degrees about a vertical axis in front of the detector resulted in 1440 projections acquired at one frame per second. The 1440 projections were reconstructed into 16-bit unsigned images saved as.dicom formatted files using proprietary software of Nanotom GE phoenix (i.e., datosx 2 rec). The dicom files were used as the basis for data analyses. Visualization of 3D morphological structures and acquisition of measurements for quantification were performed using VGSTUDIO MAX 3.4 64 bit (Volume Graphics GmbH).
After acquisitions of the initial image data on the knee joint, a subset of region of interest (ROI) in the proximal tibial epiphysis was created; cortical bone was removed from epiphysis up to the most distal limit of medial and lateral epicondylar transversal line. From this ROI trabecular BV/TV was calculated.
For microCT analysis of Col2a1-Cre;Stat3fl/fl and control animals (3 per sex per genotytpe), a Skyscan1172 (Bruker MicroCT, Kontich, Belgium) machine using CTAn (v.1.13.2.1) and CTVol (v.2.3.2) software was employed. The microradiography unit was set to an energy level of 55 kVp, intensity of 181 µA, and 900 projections; specimens were scanned at an 8 µm voxel resolution. A three‐dimensional reconstruction was generated with NRecon software (Bruker MicroCT) from the set of scans. Femurs were measured directly from these reconstructions.
Tissue collection and digestion
Mouse knee joints were cut at the femur and the tibia and crushed lightly with a mortar and pestle and placed in digestion media (DMEM/F12 (Corning) with 10% Fetal Bovine Serum (FBS; Corning), 1% penicillin/streptomycin/amphotericin B solution (P/S/A; Corning), 1 mg/ml dispase (Gibco), 1 mg/ml type 2 collagenase (Worthington), 10 µg/ml gentamycin (Teknova) and 100 μg/ml primocin (Invivogen) in an Erlenmeyer flask with a spin bar in 4 °C overnight followed by 37 °C for 4–6 h. Cells were washed with DPBS (Corning) after digestion and strained through a 70 μm filter (Fisher) before FACS.
FACS
All FACS was performed on a BD FACSAria IIIu cell sorter. Mouse knee cells were washed twice in 1–2% FBS and stained with DAPI for viability. Populations of interest based on DAPI negativity expression and lack of lineage markers (APC-Cy7; CD31, Ter119, CD45 at 1 μl/106 cells; Biolegend) expression were directly sorted into DMEM/F12 containing 10% FBS with 1% P/S/A. Flow cytometry data was analyzed using FlowJo software.
Single-cell sequencing using 10X Genomics
Single-cell samples were prepared using Chromium Next GEM Single Cell 3' Reagent Kits v3.1 and chip Kit (10X Genomics) according to the manufacturer’s protocol. Briefly samples were FACS sorted using DAPI to select live cells followed by resuspension in 0.04% BSA-PBS. Nearly 1200 cells/µl were added to each well of the chip with a target cell recovery estimate of 10,000 cells. Thereafter Gel bead-in Emulsions (GEMs) were generated using GemCode Single-Cell Instrument. GEMs were reverse transcribed, droplets were broken and single stranded cDNA was isolated. cDNAs were cleaned up with DynaBeads and amplified. Finally, cDNAs were ligated with adapters, post-ligation products were amplified, cleaned-up with SPRIselect and purified libraries were sequenced on Novaseq at the UCLA Technology Center for Genomics and Bioinformatics.
10X sequencing data analysis
Raw sequencing reads were processed using Partek Flow Analysis Software (build version 10.0.21.0602). Briefly, raw reads were checked for their quality, trimmed and reads with an average base quality score per position >30 were considered for alignment. Trimmed reads were aligned to the mouse genome version mm10 using STAR-2.7.3a with default parameters. Reads with alignment percentage >75% were de-duplicated based on their unique molecular identifiers (UMIs). Reads mapping to the same chromosomal location with duplicate UMIs were removed. Transcripts were quantified using mm10 Gencode M25 and UMI count matrix was generated with rows representing genes and columns representing each detected cell. QC metrics for genes and UMIs were visualized as violin plots using ggplot2 (v3.3.3). Thereafter “Knee” plot was constructed using the cumulative fraction of reads/UMIs for all barcodes. Barcodes below the cut-off defined by the location of the knee were assigned as true cell barcodes and quantified. Further noise filtration was done by removing cells having >5% mitochondrial counts and total read counts >24,000. Ambient mRNAs were removed using the R package SoupX82, resulting in 4908 cells in the Stat3fl/fl sample and 1399 cells in the Acan-Cre+/ERT2;Stat3fl/fl sample. Genes not expressed in any cell were also removed as an additional clean-up step. Cleaned-up reads were normalized using counts per million method followed by log-transformation generating count matrices for each sample. Samples were batch-corrected on the basis of expressed genes and mitochondrial reads percent. Count matrices were used to visualize and explore the samples in further details by generating tSNE plots, a non-linear dimensional reduction technique. This algorithm learns the underlying manifold of the data and places similar cells together in a low-dimensional space; 30 prinicipal components were used for clustering. Cells positive for Sox9 and Col2a1 expression were selected for clustering and further analysis (501 in the Stat3fl/fl sample and 332 cells in the Acan-Cre+/ERT2;Stat3fl/fl sample). K-means clustering was computed for identifying groups of cells with similar expression profiles using Euclidean distance metric based on the most appropriate cluster count. A maximum of 1000 iterations were allowed and the top marker genes (fold-change >2 and p value <0.05) for each cluster was determined. Top marker genes were overlapped with a list of cell cycle marker genes obtained from Tirosh et al.83. Statistical significance of this overlap was determined by a hypergeometric test assuming 21,000 mouse genes. Two-way Venn diagrams were generated using BioVenn84. Dot plots were generated in R (v 4.0.3) using ggplot2 (v3.3.3).
Gene set enrichment analysis (GSEA)
Single-cell sequencing data was analyzed using the GSEA-P desktop application85 available at www.broadinstitute.org. The specific parameters used for the analyses are: number of permutations (1000), permutation type (gene set), enrichment statistic (weighted), metric for ranking genes (signal to noise). Enrichment score was calculated by walking down the rank-ordered gene list from top to last ranked gene, decreasing a running-sum statistic when a gene is encountered that is not part of a gene set, and increasing the score when a gene is encountered that is in the gene set. Hypertrophic gene set included genes Ptgis, Snai1, Cd200, Plin2, Foxa2, Ugp2, Adk, Lxn, Enpp2, Mef2c, Col10a1, Sp7, Alpl, Ihh and Col1a1. Proliferative gene set included genes Itga4, Cdk1, Dcx, Sox5, Fn1, Cdk2, Sox6, Ptges3, Foxn2, Sdc4, Ncam1, Rps25, Lmna, Bmpr1b and Prg4.
Statistics and reproducibility
Numbers of repeats for each experiment are indicated in the figure legends. Pooled data are represented as mean ± SEM unless otherwise indicated. Statistical analysis was performed using two-tailed Student’s t test to compare two groups unless noted, in which case ANOVA was used to compare three or more groups. p values <0.05 were considered to be significant.
Reporting summary
Further information on research design is available in the Nature Research Reporting Summary linked to this article.
Supplementary information
Acknowledgements
The authors thank the Molecular Imaging Center core in the Department of Radiology, Keck School of Medicine, University of Southern California and Mr. Tautis Skorka for performing high-resolution microCT scanning of the samples for this study. We thank Volume Graphics, GmbH (Heidelberg, Germany) for providing complimentary access to VGSTUDIO MAX 3.4 used in this work (https://www.volumegraphics.com). All schematics were created with Biorender.com and we thank the USC Stem Cell Flow Cytometry Core for their assistance and support. This work was supported by National Institutes of Health grant R01AR071734 (D.E. and K.L.), the National Institutes of Health grant R01AG058624 (D.E.), Department of Defence grant W81XWH-13-1-0465 (D.E.) and the California Institute of Regenerative Medicine grant TRAN1-09288 (D.E.).
Author contributions
N.Q.L., Y.L., L.L., J.L., D.G., J.Z., T.J., Z.B., J.M., J.T., R.S., A.S., N.L., S.L., Y.L., B.V.H., K.L., and D.E. performed experiments, analyzed data, and interpreted results. L.W., F.A.P., K.L., and D.E. provided funding support. N.Q.L., B.V.H., K.L., and D.E. designed experiments and conceived the conceptual framework for the study, as well as wrote the manuscript. All authors reviewed the manuscript.
Peer review information
Communications Biology thanks Phillip Newton, Matt Greenblatt and the other, anonymous, reviewers for their contribution to the peer review of this work. Primary Handling Editor: Eve Rogers.
Data availability
All scRNA-seq and bulk RNA-seq data are deposited in GEO and are available under accession numbers GSE184406 and GSE188353, respectively. Uncropped Western blot images are provided in Supplementary Fig. 15. Source data files are provided in Supplementary Data 3. All other data are available upon reasonable request.
Competing interests
The authors declare no competing interests.
Footnotes
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
These authors contributed equally: Nancy Q. Liu, Yucheng Lin, Liangliang Li.
Change history
2/25/2022
A Correction to this paper has been published: 10.1038/s42003-022-03167-5
Supplementary information
The online version contains supplementary material available at 10.1038/s42003-021-02944-y.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
All scRNA-seq and bulk RNA-seq data are deposited in GEO and are available under accession numbers GSE184406 and GSE188353, respectively. Uncropped Western blot images are provided in Supplementary Fig. 15. Source data files are provided in Supplementary Data 3. All other data are available upon reasonable request.