MicroRNA-mediated post-transcriptional regulation plays key roles in stem cell self-renewal and tumorigenesis. However, the in vivo functions of specific microRNAs in controlling mammary stem cell (MaSC) activity and breast cancer formation remain poorly understood. Here we show that miR-31 is highly expressed in MaSC-enriched mammary basal cell population and in mammary tumors, and is regulated by NF-κB signaling. We demonstrate that miR-31 promotes mammary epithelial proliferation and MaSC expansion at the expense of differentiation in vivo. Loss of miR-31 compromises mammary tumor growth, reduces the number of cancer stem cells, as well as decreases tumor-initiating ability and metastasis to the lung, supporting its pro-oncogenic function. MiR-31 modulates multiple signaling pathways, including Prlr/Stat5, TGFβ and Wnt/β-catenin. Particularly, it activates Wnt/β-catenin signaling by directly targeting Wnt antagonists, including Dkk1. Importantly, Dkk1 overexpression partially rescues miR31-induced mammary defects. Together, these findings identify miR-31 as the key regulator of MaSC activity and breast tumorigenesis.
Mammary gland is a unique organ in that major developmental changes, including ductal morphogenesis, side tertiary branching and alveogenesis, occur postnatally1. The mammary epithelia exhibit a relatively simple lineage composition with luminal cells capable of terminally differentiating into milk-producing cells, and basal/myoepithelial cells that possess some mesenchymal-like features2. Mammary gland development and homeostasis are fueled by multipotent mammary stem cells (MaSCs), as well as unipotent stem/progenitor cells3, 4. A mammary epithelial cell population enriched for MaSCs has been isolated from the basal compartment based on their expression of CD24 and CD29 or CD49f antigens5, 6. Wnt targets such as Axin2, Procr and Lgr5, which are specifically expressed in basal MaSCs, have been used to identify distinct Wnt-responsive MaSC subsets7,8,9. Striking a balance between MaSC self-renewal and differentiation is essential to maintain mammary tissue homeostasis. Elucidating the molecular mechanisms that govern this balance is critical for understanding the basic principles of mammary development and the ontogeny of breast cancer.
MaSCs are controlled by the dynamic interplay of multiple molecular pathways such as hormone, Notch and Wnt signaling7, 10, 11. Progesterone/PR(progesterone receptor) plays a prominent role in promoting the proliferative capacity of MaSCs and coordinating alveogenesis during early pregnancy via secreted RANKL11, 12. RANKL binds to its receptor RANK and activates NF-κB signaling in myoepithelial cells13, 14. In addition to regulating MaSC activity and alveologenesis in normal mammary epithelia, RANKL and RANK are critical for the maintenance of cancer stem cells and for breast cancer metastasis15. Interestingly, RANKL and RANK are predominantly expressed in hormone receptor-negative, but not receptor-positive, human breast tumors15,16,17, raising the possibility of their activation by hormone-independent mechanisms in malignant mammary epithelia. Wnt/β-Catenin signaling is important for promoting MaSC activity and determining a basal cell fate. Wnt ligands such Wnt4 and Rspo1 have been identified as the niche factors for MaSCs, functioning to promote MaSC self-renewal18, 19. Forced activation of Wnt signaling in MMTV-Wnt1 and MMTV-stabilized-β-Catenin transgenic mice expands mammary stem/progenitor cell populations5, 20,21,22. Moreover, hyperactive Wnt signaling is extensively presented in breast cancer, particularly in basal-like type with higher grade, stem cell-like characteristics and aggressive behavior23. Although the involvement of Wnt/β-Catenin signaling in MaSC biology and breast cancer has been extensively studied, how it is precisely controlled in mammary gland to balance stem cell self-renewal and differentiation remains to be fully understood.
MicroRNAs have been shown to play important roles in controlling adult stem cell fate and tumorigenesis24. Specifically, miR-31 has been identified as an important regulator of adult muscle and mesenchymal stem cells25,26,27. Several reports showed that miR-31 is enriched in putative mammary progenitor cells28,29,30. MiR-31’s importance has also been implicated in a variety of cancers including breast cancer31. However, the in vivo function of miR-31 in mammary gland development, MaSC activity and breast tumorigenesis remain unknown. By utilizing miR-31 gain− and loss-of-function mouse models, coupled with the MMTV-PyVT mammary tumor model, here we demonstrate that miR-31 promotes MaSC activity and breast tumorigenesis by regulating multiple signaling pathways.
MiR-31 is enriched in MaSC population and breast tumors
To identify the mammary epithelial cell populations that express miR-31 in vivo, we purified Lin−CD24−CD29−, Lin−CD24−CD29+, Lin−CD24+CD29low and Lin−CD24+CD29high subpopulations, confirming their purity by the expression of basal marker K14 and luminal marker K18 (Supplementary Fig. 1a). Mature miR-31 was highly enriched in the CD24+CD29high cell population, with lower level of expression in the other populations (Fig. 1a). This pattern parallels that of other MaSC-enriched microRNAs, miR-205 and miR-2228, 32, 33. In situ hybridization revealed the presence of miR-31-expressing cells in both basal and luminal layers, with a particular enrichment in the tertiary branches (Fig. 1b).
During mammary development, miR-31 expression gradually increased from puberty to adult stages, peaking around post-pregnancy day 14.5 (14.5 d.p.c.), and then returning to pre-pregnancy levels upon involution (Fig. 1c). This dynamic expression pattern is similar to that of NF-κB34, suggesting a potential correlation between miR-31 and NF-κB. To probe this, we examined the miR-31 promoter using the JASPAR database, and identified two potential NF-κB binding sites at positions −1,746 and −1,375 (Fig. 1d). RANKL is an activator of the NF-κB pathway14. Knockdown of RANKL with siRNA repressed miR-31 expression (Fig. 1e), concomitant with repression of the NF-κB pathway (Fig. 1f). In miR-31 promoter driven-luciferase reporter assays, both RANKL siRNA and mutation of p65-binding sites in miR-31 promoter suppressed luciferase activity (Fig. 1g). Furthermore, chromatin immunoprecipitation (ChIP) assay revealed that p65 binds to its predicted cognate sites in miR-31 promoter, and that RANKL siRNA reduced this binding (Fig. 1h). Together, these data suggest that miR-31 expression is directly activated by NF-κB pathway in the mammary gland.
Given that the NF-κB pathway is activated in mammary myoepithelium by RANKL secreted from the luminal epithelium upon progesterone signaling35, we asked if miR-31 expression is also regulated by progesterone. Treatment with estradiol and progesterone significantly, albeit moderately, increased miR-31 expression (Supplementary Fig. 1b), whereas PR inhibitor Mifeprinstone decreased miR-31 expression (Supplementary Fig. 1c-e). In miR-31 promoter driven-luciferase reporter assays, treatment of estradiol and progesterone enhanced luciferase reporter activity, while mutation of p65-binding sites blocked it (Supplementary Fig. 1f). Moreover, treatment of estradiol and progesterone also enhanced p65 recruitment to its binding site while Mifeprinstone repressed it (Supplementary Fig. 1g). Thus, miR-31 expression is also hormone-responsive, likely through an indirect mechanism that involves the RNAKL/RANK/NF-κB pathway.
Next we examined miR-31 expression in mammary tumors. MiR-31 was markedly elevated in PyVT-induced tumors (Fig. 1i), which at late stage expressed high level of RANKL despite an ER- and PR-negative appearance (Fig. 1k and Supplementary Fig. 1h)15, as well as high levels of p-p65 and p-IKKα (Fig. 1j). Akt is activated in PyVT tumors36 and NF-κB is activated through the Akt-IKKα pathway37, 38, raising the possibility that miR-31 is induced by Akt pathway activation. Indeed, treatment with Pten inhibitor bpV induced miR-31 expression in a dose-dependent manner, concomitant with upregulation of p-Akt, p-Ikkα and p-p65 (Fig. 1l, m). Strikingly, we also observed an overexpression of miR-31 in basal-like human breast cancer (Supplementary Fig. 1i), and its level positively correlated with RANKL and TNFα (Supplementary Fig. 1j), both of which are activators of the NF-κB pathway39, 40. Thus, miR-31 induction in mammary tumors is tightly associated with the NF-κB pathway, which might be activated by progesterone/PR-independent mechanisms such as the RANKL and Akt pathways.
MiR-31 induction causes hyperplasia
To investigate the function of miR-31 in regulating mammary development, we generated TRE-miR31 mice and bred with K5-rtTA mice to generate double transgenics (DTG) that inducibly overexpress miR-31 specifically in mammary basal epithelial cells (Supplementary Fig. 2a). Doxycycline (Dox)-mediated induction of miR-31 was confirmed (Supplementary Fig. 2b, c), while no significant difference was found for miR-205, an unrelated microRNA (Supplementary Fig. 2b). To determine the effects of miR-31 overexpression on mammary morphology, we induced its expression starting at 1 week of age by oral administration of Dox-containing water in the lactating females. Following weaning, pups were maintained on Dox-containing water until the end time point. Since Dox itself may affect mammary development, we compared mammary gland morphology from mice fed with either Dox or control water. We found that Dox administration mildly inhibited mammary branching and ductal elongation at 6 weeks of age, but by 10 weeks of age such effects were no longer observed. Therefore, all of the following studies were carried out on Dox-treated 12-week-old female mice.
By 12 weeks of age, mammary glands of all control mice, including WT, K5-rtTA and TRE-miR31, were fully developed with tertiary branching (Fig. 2a and Supplementary Fig. 2d–f). In contrast, mammary glands of all DTG mice showed no tertiary branch development (Fig. 2a and Supplementary Fig. 2g–j) and varying defects in ductal elongation (Supplementary Fig. 2g–i), branching (Supplementary Fig. 2h–l), and the appearance of multiple terminal end bud (TEB)-like structures (Fig. 2a and Supplementary Fig. 2k). On histology, DTG mice had thicker mammary ducts than controls, characterized by an increase in cell layers (Fig. 2b and Supplementary Fig. 2m), particularly pronounced at the end of the branches (Fig. 2c). Consistent with epithelial hyperplasia, DTG mammary glands exhibited a robust increase in cell proliferation (Fig. 2d). The effect of miR-31 on proliferation is likely epithelial cell-autonomous, as Dox-induced miR-31 overexpression in HC11 cells, a mouse mammary epithelial cell line, dramatically promoted proliferation (Supplementary Fig. 2n,o). Conversely, HC11 cell proliferation was significantly repressed in response to miR-31 inhibitor, anti-miR-31 (Supplementary Fig. 2o).
The preferential expression of miR-31 in mammary basal cells led us to examine its influence on basal and luminal lineages. In normal adult mammary glands, ducts are comprised of a single layer of flattened K14+ myoepithelial cells and a single layer of K18+ luminal cells (Fig. 2e). By contrast, DTG mammary ducts contained multiple layers of rounded K14+ cells and displayed an expansion of K18 expression into the basal cell layers, resulting in the appearance of K14/K18-double positive cells (Fig. 2e). Furthermore, in control mice, mammary basal cells were mostly K14+SMA+ (SMA, smooth muscle actin, is a marker of differentiated basal cells) (Fig. 2f), whereas the basal layers of DTG mice contained many K14+SMA− cells, suggesting a possible arrest in myoepithelial cell maturation (Fig. 2f). Taken together, these data demonstrate that miR-31 overexpression causes mammary hyperplasia likely via promoting the proliferation and inhibiting the differentiation of mammary epithelial cells.
MiR-31 prevents precocious alveolar differentiation
To probe the physiological function of miR-31, we generated a constitutive miR-31 KO mouse model (Supplementary Fig. 3a–c). The miR-31 KO mice exhibited normal overall development and were fertile. However, analysis of their mammary glands at 6 weeks of age (puberty) and 10 weeks of age (post-puberty) revealed precocious alveolar differentiation, resembling glands in early pregnancy (Fig. 2g and Supplementary Fig. 3d). A remarkable reduction in the number of proliferating cells was observed in TEBs of miR-31 KO mice at 6 weeks of age (Fig. 2h–j). By 10 weeks of age, miR-31 KO mammary glands expressed milk protein β-Casein, while no appreciable expression was seen in WT mammary glands at this stage (Fig. 2k). Moreover, the number of cells positive for Gata-3, a transcription factor required for differentiation of the luminal epithelium41, was markedly increased in miR-31 KO mammary glands (Fig. 2l, o). To determine whether the mammary phenotypes are due to loss of miR-31 in epithelial cells, we generated K14-Cre;miR-31fl/fl mice in which miR-31 is specifically deleted in the mammary epithelium (Supplementary Fig. 3e, f). A similar, although slightly milder, phenotype of precocious alveolar differentiation was observed in K14-Cre;miR-31fl/fl mice at 10 weeks of age (Supplementary Fig. 3g), suggesting that miR-31 functions within the virgin mammary epithelium to keep alveolar differentiation in check.
The precocious alveolar differentiation phenotype in miR-31 KO virgin mice closely mimics that observed in P-cadherin null mice42. Consistently, P-cadherin, which is normally expressed in mammary myoepithelial cells, was absent in miR-31 KO mammary epithelium (Fig. 2m, o). Further, the number of cells positive for p63, which plays a key role in myoepithelial development and in activating P-cadherin expression43, was markedly reduced in miR-31 KO mammary epithelium (Fig. 2n, o). These results indicate that the precocious differentiation phenotype in miR-31 KO mice is likely associated with reduction of p63- and P-cadherin-positive cells. Overall, the miR-31 KO phenotypes of precocious alveolar differentiation and reduced cell proliferation are directly opposite to these seen in the miR-31-overexpressing mice, indicating an important physiological role for miR-31 in promoting cell proliferation and repressing differentiation.
MiR-31 regulates mammary alveogenesis
Next we examined the effect of miR-31 overexpression on alveologenesis during pregnancy. DTG mice were able to give birth, similar to controls, but were incapable of nursing their pups, leading to neonatal lethality. Whole-mount and histology analysis revealed that DTG mammary glands failed to form alveoli and retained undifferentiated ductal structures at post-pregnancy 14.5 (14.5 d.p.c.) and lactation day 1 (L1) (Fig. 3a, b). Consistently, β-Casein was completely absent in DTG glands (Fig. 3c). MiR-31 overexpression in HC11 cells, which can be differentiated in vitro upon the addition of lactogenic hormones, also downregulated β-Casein expression (Supplementary Fig. 4a). Conversely, miR-31 inhibition led to a modest upregulation of β-Casein expression and resulted in lipid formation in this system (Supplementary Fig. 4a). These findings demonstrate that excessive amounts of miR-31 can repress alveolar differentiation of the mammary epithelium during pregnancy.
Prlr/Stat5 signaling is critical for alveolar formation during pregnancy44. In contrast to WT alveoli where many p-Stat5-positive cells were detected, such cells were completely absent in DTG mammary glands (Fig. 3d). Prlr-positive cells were also absent in DTG glands (Fig. 3e), and reduction of Prlr was further confirmed at both mRNA and protein levels (Fig. 3f, g). Progesterone signaling is another key regulator of alveolar formation, but the number of PR-positive cells remained unaltered in DTG glands (Supplementary Fig. 4b). Interestingly, the 3′-UTR of Prlr includes a predicted miR-31 binding site (Supplementary Fig. 4c). Luciferase reporter assay showed that elevated miR-31 upon Dox treatment strongly repressed WT Prlr 3′-UTR reporter activity, but had no influence on mutant reporters where the binding site was disrupted (Fig. 3h). Together, these data suggest a selective inhibitory effect of miR-31 on Prlr/Stat5 signaling, and underscore Prlr 3′-UTR as a direct molecular target of miR-31.
We also examined miR-31 KO mice for possible alveologenesis defects. While these mice were fertile, we noticed that by weaning age the survival rates of their pups were lower than those from WT mothers (Supplementary Fig. 4d). The pups nursed by miR-31 KO mothers had less milk in their stomachs at lactation day 2 (Supplementary Fig. 4e). The alveoli failed to fully develop in miR-31 KO mothers at both 18.5 d.p.c. and lactation day 2 (Supplementary Fig. 4f). In line with this observation, the miR-31 KO mammary glands displayed a reduction in lipid droplets and alveolar tissues (Supplementary Fig. 4g). β-Casein immunofluorescence showed that milk content was markedly decreased in miR-31 KO glands (Supplementary Fig. 4h). These findings were somewhat surprising given that we anticipated precocious alveologenesis in pregnant miR-31 KO glands based on data discussed above. To identify the underlying cause of impaired alveogenesis, we examined miR-31 KO mammary glands at mid-pregnancy (14.5 d.p.c.). At this earlier time point, enhanced alveolar content was detected in miR-31 KO glands (Fig. 3i), presenting as overt luminal feature and an increased number of intracellular lipid droplets (Fig. 3j). Expression of β-Casein was also much higher than in control glands (Fig. 3l). Similarly to that observed in the virgin mammary glands, the levels of Prlr and p-Stat5 proteins increased (Fig. 3k, o), and the number of proliferating cells decreased in miR-31 KO alveoli at 14.5 d.p.c. (Fig. 3m–o). Thus, it appears that the primary consequence of miR-31 loss is precocious differentiation of the alveolar epithelium, which is followed by subsequent defect in alveolar development.
MiR-31 is critical for the self-renewal of MaSCs
Next we examine the specific effect of miR-31 on MaSCs. Compared to K5-rtTA and TRE-miR31 control mice, DTG mice at the same estrus stage (Supplementary Fig. 5a) exhibited a Lin−CD24+CD29high population that is approximately four-fold larger (Fig. 4a, b). By contrast, the size of the CD24+CD29high population in miR-31 KO mice was significantly smaller than in controls (Fig. 4c). A similar reduction was seen in K14-Cre;miR-31fl/fl mammary epithelium-specific KO mice (Fig. 4d), indicating that miR-31 functions within the epithelium to regulate the size of the MaSC-containing basal cell compartment. A subpopulation of the CD24+CD29high cells are known to express Lgr5 and exhibit enhanced regenerative capacity in mammary gland reconstitution assays9, and the size of this Lgr5+ stem cell subpopulation was significantly reduced in miR-31 KO mammary glands (Fig. 4e and Supplementary Fig. 5b), which might account for the reduction of the CD24+CD29high population in miR-31 KO mice.
To address whether miR-31 directly influences MaSC self-renewal, we performed in vitro colony formation assays using purified CD24+CD29high cells from DTG mice. MiR-31 induction had no significant effect on the number of primary colonies that formed (Fig. 4f). However, the numbers of secondary, tertiary, and subsequent colonies were markedly increased by miR-31 induction, with overall colony formation potential showing no signs of exhaustion after six passages (Fig. 4f). Conversely, the addition of anti-miR-31 caused a remarkable reduction in colony formation upon serial passaging (Fig. 4f and Supplementary Fig. 5c). Colony sizes under control and Dox-treated conditions were relatively constant (Supplementary Fig. 5d). These results suggest that miR-31 promotes MaSC self-renewal.
When grown on feeder cell layers, basal progenitor cells form solid colonies, whereas luminal progenitor cells form acinar colonies with clear borders29. Sustained miR-31 expression preferentially increased the number of solid basal colonies at the cost of acinar colonies (Supplementary Fig. 5e), suggesting that miR-31 induction promotes the colony formation ability of basal progenitor cells while inhibiting their luminal differentiation or suppressing luminal cell colony formation.
To determine whether miR-31 positively regulates MaSC function in vivo, we performed limiting-dilution transplantation assays in immunodeficient mice using CD24+CD29high cells isolated from either control or miR-31 KO mammary glands. The CD24+CD29high cells from miR-31 KO mice displayed a significantly lower rate of successful engraftment and less extensive mammary outgrowth than the control cells (Fig. 4g). Collectively, these results provide strong evidence for the role for miR-31 in supporting MaSC self-renewal and mammary regeneration.
Loss of miR-31 results in compromised tumorigenesis
To examine the role of miR-31 in mammary tumorigenesis, we bred the miR-31 KO allele into the MMTV-PyVT mouse model, which serves as the model for human breast adenocarcenomas15. The overall survival time of PyVT/KO mice was significantly longer than PyVT control mice (Supplementary Fig. 6a). Whole-mount analysis revealed that the development of primary mammary lesions was markedly suppressed in PyVT/KO mice at 12 and 16 weeks of ages (Fig. 5a). At 20 weeks of age, tumors in PyVT/KO mice were still much smaller than those in PyVT control mice (Fig. 5b). PyVT tumors displayed some malignant features (Fig. 5c), such as pleomorphic cell morphology and a moderate variation in nuclear morphology, size and shape, as early as at 12 weeks of age. These features were absent in PyVT/KO tumors, which morphologically appeared more like benign adenomas at this stage, characterized by relatively uniform cells with round to oval nuclei (Fig. 5c). In agreement with compromised tumor growth, the number of proliferating cells was much lower in PyVT/KO tumors than in PyVT controls (Fig. 5d and Supplementary Fig. 6b). Furthermore, transplantation assays with 4T1 mouse breast cancer cells revealed that inhibiting miR-31 with anti-miR-31 suppresses tumor growth in host mice (Supplementary Fig. 6c).
Gata3, the expression of which is strongly associated with ERα in breast cancer, is considered a prognostic marker for less aggressive breast cancer and associates with favorable outcome45. While Gata3- and ERα-positive cells were absent in PyVT tumors at 12 weeks of age, they were abundantly present in PyVT/KO tumors from the same stage (Fig. 5e, f). Consistently, the expression level of miR-31 also negatively correlated to Gata3 and ERα levels in human breast cancer (Supplementary Fig. 6d). K14+K8+ double positive cells have been reported to be tumor progenitor cells46. While PyVT tumors contained K14+K8+ cells at the leading, basal edge of the tumor (Fig. 5g), both tumors and mammary ducts from PyVT/KO mice lacked K14+ cells (Fig. 5g). The protein level of luminal marker K8 is much higher in PyVT/KO tumors, whereas basal marker K14 is greatly lower (Fig. 5f). These data suggest that loss of miR-31 induces a basal-to-luminal cell fate change in mammary tumor cells. Thus, miR-31 is required for maintaining a basal cell fate in both normal and malignant mammary epithelia. This notion is consistent with the presence of ample K14+ cells in triple-negative tumors in which miR-31 is more highly expressed as compared to hormone receptor-positive tumors (Supplementary Fig. 6e).
Cancer stem cells can be isolated from PyVT tumors using cell surface markers CD90 and CD2447. We found that the expression levels of miR-31 are higher in the CD24+CD90+ cancer stem cells as compared to the CD24+CD90− cells (Fig. 5h). We detected a significant reduction in the percentage of the CD24+CD90+ cancer stem cell population in PyVT/KO mammary tumors compared to PyVT tumors (Fig. 5i). Moreover, limiting-dilution transplantation assays revealed that PyVT/KO tumor cells show an approximately 13-fold decrease in tumor-initiating ability (Fig. 5j and Supplementary Fig. 6f), and consequently tumor growth was compromised (Supplementary Fig. 6f–h). These data demonstrate that miR-31 is required for maintaining mammary tumor stem cells.
Remarkably, miR-31 deficiency in PyVT mice resulted in a higher metastasis-free survival rate (Fig. 6a). Consistently, we found a marked reduction of metastatic foci in PyVT/KO lungs, compared to PyVT controls (Fig. 6b). To probe the underlying mechanism, we examined the expression of known markers of epithelial-mesenchymal transition (EMT), which is arguably important for tumor invasion and metastasis48,49,50. The numbers of vimentin+ and Slug+ cells were greatly reduced in PyVT/KO tumors (Fig. 6c, d). The RNA levels of other EMT regulators, Twist1, Bmi1, Zeb1 and Fzd3, were also markedly decreased in PyVT/KO tumors (Fig. 6e). Moreover, the expression of P-cadherin, a metastable EMT marker of poor prognosis of invasive breast carcinomas51, was reduced in PyVT/KO tumors and mammary ducts (Fig. 6f). However, the expression levels of α2- and β1-integrin, which are metastasis repressors in breast cancer52, are remarkably elevated in PyVT/KO tumors (Fig. 6g, h). When cultured in matrigel of reconstituted basement membrane, PyVT tumor cells formed typical acinar structures with elongated protrusions, but such protrusions were blocked in PyVT/KO acini (Fig. 6i). In keeping with these in vivo/ex vivo findings, treatment of BT549 breast cancer cells with miR-31 mimics elicited a morphological conversion from epithelial-like to mesenchymal-like state (Fig. 6j). Taken together, our findings reveal a critical involvement of miR-31 in tumor growth and metastasis, likely through regulating multiple cellular processes including tumor stem cell self-renewal, basal-luminal differentiation and epithelial plasticity.
MiR-31 activates Wnt/β-Catenin and represses TGFβ signaling
To identify the signaling events that mediate this function, we examined the effect of miR-31 alterations on the status of Wnt/β-catenin signaling, previously shown to be a key pathway that promotes MaSC self-renewal and stemness5, 7, 53, 54. The Axin2-LacZ reporter mice have been widely used as an in vivo reporter for Wnt pathway activity, as Axin2 is a direct Wnt target in most cell types7. While Axin2-LacZ reporter activity was restricted to the single layer of basal cells in control mammary glands, it was expanded to multiple layers in DTG mammary glands and reduced in miR-31 KO mammary glands (Fig. 7a). Increased nuclear localization of β-Catenin was seen in the mammary basal layer of DTG mice at 12 weeks of age, and this increase was more prominent during pregnancy (Fig. 7b). In contrast, expression of nuclear β-Catenin was considerably reduced in miR-31 KO mammary tissues (Fig. 7c). These data, together with the finding of reduced number of cells that express Wnt downstream target Lgr5 in miR-31 KO mammary glands (Fig. 4e), support a model where miR-31 upregulates Wnt/β-catenin pathway activity in the mammary epithelium.
To ask whether miR-31 impacts Wnt pathway activation in a cell-autonomous manner, we analyzed the effects of miR-31 on Wnt signaling status/output in HC11 cells. MiR-31 overexpression in this system induced prominent nuclear localization of β-Catenin (Fig. 7d), enhanced the expression of Wnt target LBH (Fig. 7e), and upregulated TOPflash Wnt reporter activity (Fig. 7f). In contrast, inhibiting miR-31 with anti-miR-31 led to decreased LBH expression (Fig. 7e) and reduced TOPflash reporter activity (Fig. 7f).
In interesting contrast to Wnt signaling, TGFβ signaling was found to be significantly elevated in miR-31 KO mammary glands, as evident by increased level of active Smad2/3 (Fig. 7g), as well as upregulated expression of TGFβ pathway target genes Cdkn2b (encoding p15), Cdkn1a (encoding p21), Cdkn1c (encoding p57) and Tgfbr1 (Fig. 7h). In addition, miR-31 inhibition enhanced luciferase reporter expression driven by Smad-binding element CAGA, while miR-31 mimics suppressed the expression of this TGFβ signaling reporter (Fig. 7i). Collectively, our results reveal opposite effects of miR-31 on Wnt and TGFβ signaling in the mammary gland.
MiR-31 targets Wnt signaling antagonists in mammary gland
In order to identify direct molecular targets of miR-31 that mediate its function in the mammary epithelia, we analyzed miR-31-binding sites in 3′-UTRs of transcripts encoding regulators of the Wnt signaling pathway. Putative miR-31-binding sites were found in several Wnt antagonists including Axin1, Gsk3β and Dkk1 (Supplementary Fig. 7a). Indeed, a marked increase in mRNA and protein levels of Axin1, Gsk3β and Dkk1 was detected in miR-31 KO mammary glands, and conversely a significant reduction was observed in the levels of the same molecules in DTG mammary glands (Fig. 8a–c). In reporter luciferase assay, miR-31 mimics significantly repressed luciferase activity containing Axin1, Gsk3β and Dkk1 3′-UTR elements, while 3′-UTR elements mutations abolished miR-31 binding and this repressive effect (Fig. 8d and Supplementary Fig. 7b). Furthermore, RNA crosslinking, immunoprecipitation, and quantitative polymerase chain reaction with reverse transcription (qRT-PCR) (CLIP-PCR) assay revealed that Dkk1, Axin1 and Gsk3β are enriched in the Ago2 antibody immunoprecipitates and that miR-31 inhibitor suppresses these enrichments (Fig. 8e), suggesting that miR-31 directly binds to these potential targets. Elevated Axin1, Gsk3β and Dkk1 expression was also seen in PyVT/KO tumors as compared to PyVT tumors (Fig. 8f–h). Together, these findings underscore Axin1, Gsk3β and Dkk1 as direct molecular targets of miR-31. Similar studies also implicate TGFβ pathway genes Smad3 and Smad4 as potential targets of miR-31 (Supplementary Fig. 7 and Fig. 8).
Since the effects of miR-31 on the mammary gland are most similar to those of Wnt signaling, we next asked whether inhibiting Wnt signaling is able to rescue the miR-31 gain-of-function mammary phenotypes. Specifically, we crossed miR-31 DTG mice with TRE-Dkk1 transgenic mice to generate K5-rtTA/TRE-miR31/TRE-Dkk1 (DTG/Dkk1) triple transgenic mice. Mammary glands were harvested from these mice at 12 weeks of age and the altered expression of miR-31 and/or Dkk1 was confirmed (Supplementary Fig. 8a, b). Distinct from DTG or Dkk1 transgenic mammary glands, DTG/Dkk1 triple transgenic glands exhibited structural features similar to those of controls, including thin ducts, underdeveloped tertiary branches, but otherwise normal ductal elongation and branching (Supplementary Fig. 8c). DTG/Dkk1 mammary ducts had fewer cell layers than DTG ducts (Supplementary Fig. 8c). Furthermore, the number of CD24+CD29high cells in DTG/Dkk1 mice is much lower than that of DTG mice but higher than WT mice (Fig. 8i). Consistently, administration of recombinant Dkk1 protein suppressed colony formation in vitro (Fig. 4f). Taken together, these findings indicate that inhibiting Wnt signaling by introducing Dkk1 can partially rescue the DTG mammary morphology, histology and MaSC expansion defects in vivo. Our data support a model where miR-31 functions in the mammary gland at least in part through suppressing Wnt signaling antagonists, thereby maintaining optimal Wnt pathway activation that is crucial for MaSC/basal cell self-renewal.
In this work, we demonstrate that miR-31 plays an important role in MaSC self-renewal and tumorigenesis by regulating Wnt pathway activation. Our work adds miR-31 to a short list of microRNAs, including miR-22 and miR-205, which regulate stem/progenitor cells in the mammary lineage. Ectopic miR-22 overexpression results in increased mammary ductal side-branching accompanied by an apparent expansion of MaSCs32. Both overexpression and knockdown of miR-205 have been shown to cause perturbations of stem/progenitor-like populations28, 33, yet in vivo evidence is still lacking. To our knowledge, this study is the first to demonstrate the in vivo, physiological role of a specific microRNA in regulating MaSCs and mammary gland development using a loss-of-function mouse model (Supplementary Fig. 9).
The major cellular consequences of miR-31 loss are reduction of MaSCs, impaired cell proliferation, and precocious alveolar differentiation. Our findings suggest that reduced Wnt signaling is at least in part responsible for these effects. It has been shown that restricting Wnt activity leads to reduction in the frequency/self-renewal of MaSCs and increased luminal differentiation54,55,56. Wnt targets such as Axin2 and Lgr5 have been used to identify distinct Wnt-responsive MaSC subsets7, 9. We found that both Axin2-LacZ+ and Lgr5+ cells are reduced in miR-31 KO mammary glands, which could account for the reduced number of MaSCs in KO mammary glands. On the other hand, the mammary phenotype of DTG mice mimicked hyperplasia and MaSC-enriched cell expansion resulting from ectopic expression of Wnt1 or stabilized β-Catenin in transgenic mice5, 57. In serial passages, miR-31 induction resulted in increased numbers of colonies, which resemble the effect of Wnt3a on mammary stem cells7. Moreover, miR-31 overexpression induced prominent nuclear localization of β-Catenin, enhanced the expression of Axin2, and upregulated TOPflash Wnt reporter activity, while miR-31 inhibition exerted opposite effects. Collectively, these data support the importance of miR-31 in activating the Wnt/β-Catenin signaling pathway. We surmise that miR-31 does so primarily in the mammary basal layer to sustain MaSC/basal cell self-renewal/proliferation and to suppress their differentiation into luminal/alveolar cells.
Our results also suggest miR-31 as a pro-oncogenic microRNA in the mammary tissue. Our findings that loss of miR-31 in MMTV-PyVT mice (which develop multifocal mammary adenocarcinomas and metastatic lesions in the lung58) leads to compromised tumor growth, reduced number of cancer stem cells, decreased tumor-initiating ability and impaired metastasis to the lung, point to an in vivo pro-oncogenic role for miR-31 in breast cancer. Previous studies have reported an anti-metastatic role for miR-31 in breast cancer59,60,61,62. However, this conclusion was based on in vitro data as well as an inverse correlation between miR-31 expression and metastatic potential of breast cancer subtypes and cell lines59,60,61,62. As such, our study represents the first report of miR-31’s physiological role in mammary tumorigenesis. K14+K18+ cells are thought to be the progenitor cells in breast tumorigenesis46, and K14+ cells are capable to collectively invade in human breast cancer and mouse models of breast cancer63. Moreover, Gata3 and ERα have been identified as clinical markers for the less aggressive luminal A-type tumors45. Loss of miR-31 leads to a remarkable reduction of K14+K18+ and K14+ cells as well as a significant increase in Gata3- and ERα-positive cells in PyVT tumors. These data suggest that loss of miR-31 promotes an aberrant basal-to-luminal cell fate transition within the tumors, and offer a possible cellular mechanism for reduced tumor formation and metastasis (Supplementary Fig. 9). Our work, together with the previous finding that miR-31 also functions as an oncomir in colon cancer and lung cancer64, 65, highlights miR-31 as a potential therapeutic target for cancers of multiple tissues.
To generate TRE-miR-31 transgenic mice, the mmu-miR-31 sequence was amplified using the following primers: Forward 5′-CTCGGATCCTGTGCATAA CTGCCTTCA-3′ (BamHI site is added), and Reverse 5′-CACAAGCTTGAAGT CAGGGCGAGACAGAC-3′ (HindIII site is added), from mouse tail DNA, and was inserted into pTRE2 vector (Clontech) to generate a pTRE2-miR-31 construct. TRE-miR31 transgenic mice were produced using standard protocols. K5-rtTA mice66 were crossed with TRE-miR31 mice to create K5-rtTA/TRE-miR31 double transgenic mice (DTG). Lgr5-EGFP-CreERT mice were purchased from the Jackson Laboratory (#008875). Constitutive miR-31 KO mice were generated using CRISPR/Cas9 RNA-guided nucleases at the Nanjing Animal Center, and 402 bp DNA fragment containing miR-31 was deleted in the null allele. The conditional miR-31 KO allele was generated at the Shanghai Model Animal Center, the first exon (14,806-15,522) of miR-31 was targeted with flanking LoxP sites resulting in the 2 LoxP locus. K14-Cre transgenic mice were obtained from Jackson Laboratory (stock no.004782). The genetic background of miR-31 KO, K14-Cre, cKO and TRE-miR31 transgenic mice is C57BL/6J and that of MMTV-PyVT mice is Friend Virus B-type (FVB). All females were used for analysis in this study. The ages of mice in the experiments have been described in the Text. To quantify the tumor areas, all lesions in mammary whole-mount section were measured using Photoshop software. At least three control and three DTG, or three control and three KO littermates were used to analyze the mammary phenotypes. For xenograft assay, at least six mice each group were used to be transplanted with breast cancer cells.
All mouse experiment procedures and protocols were evaluated and authorized by the Regulations of Beijing Laboratory Animal Management and were strictly in accordance with the guideline under the Institutional Animal Care and Use Committee of China Agricultural University(approval number, SKLAB-2011-04-03).
Cell sorting and transplantation assay
Mouse mammary glands and PyVT tumors were prepared according to the manufacturer protocol (Stem Cell Technologies, Vancouver, Canada). The minced mammary gland and PyVT tumors tissues were dissected from age-matched virgin or pregnant mice in EpiCult-B with 5% fetal bovine serum (FBS), 300 U/ml collagenase and 100 U/ml hyaluronidase for 3–6 hrs at 37 °C. After lysis of the red blood cells with NH4Cl, a single cell suspension was obtained by sequential dissociation of the fragments in 0.25% trypsin for 1–2 min and 5 mg/ml dispase plus 0.1 mg/ml DNase I (DNase; Sigma) for 2 min with gentle pipetting, followed by filtration through 40-μm cell strainer (BD Falcon). The following antibodies were used: CD24-rphycoerythrin-Cy7 (560536, BD), CD29-fluorescein isothiocyanate (561796, BD), CD45-allophycocyanin (APC, 559864, BD), mouse CD31-APC (551262, BD), mouse TER-119 APC (557909, BD), CD90.2-PE (553005, BD) and Fixable Viability Dye eFluor 450 (eBioscience, 65-0863-14). Antibody incubation was performed on ice for 15 min in HBSS with 2% fetal bovine serum. Cell sorting was performed using a FACSAria SORP (BD). Sorted cells were re-suspended in 50% Matrigel, PBS with 20% fetal bovine serum, and injected in 10 μl volumes into the cleared fat pads of 3-week-old femal NOD-SCID mice. Reconstituted mammary glands were examined after 6–8 weeks post injection. Outgrowths were detected under dissection microscope (Leica) after Carmine staining. For limiting dilution analyses, the repopulating frequency after was calculated using the Extreme Limiting Dilution Analysis Program.
In vitro colony formation assays
Colony formation assays were performed according to published protocols7 with modifications. We performed fluorescence-activated cell sorting (FACS) assay to sort CD24+CD29hi cells from DTG mammary glands without Dox treatment. The sorted CD24+CD29hi cells were equally divided into three aliquots, each containing 105 cells. One aliquot was electrotransfected with 4 μg of miR-31 inhibitor, anti-miR-31 (5′-CAGCUAUGCCAGCAUCUUGCCU-3′) (Shanghai GenePharma Co., Ltd). The other aliquot was electrotransfected with 4 μg scrambled RNA (5′-CAGUACUUUUGUGUAGUACAA-3′). Next, each aliquot was plated onto 0.4 μm Culture Plate Inserts (Millipore Cor., Billerica, USA). The cells were incubated in Complete EpiCult-B Medium containing EpiCult-B proliferation supplements, 10 ng/ml recombinant human Epidermal Growth Factor (rhEGF; Stem Cell Technologies), 10 ng/ml recombinant human Basic Fibroblast Growth Factor (rh bFGF; Stem Cell Technologies), 4 μg/ml (0.0004%) Heparin (Stem Cell Technologies), 100 U/mL Penicillin and 100 μg/ml of Streptomycin (Sigma), and 10% FCS (Hyclone). After 24 h, the culture medium was changed to serum-free Complete EpiCult-B Medium containing cytokines. The culture medium was changed every 24 h thereafter. Colony numbers and size were scored after 8 days in culture (first passage). After scoring, colonies were digested in the corresponding wells by incubation in 1–2 ml 0.25% trypsin−EDTA for 3–5 min at 37 °C. Colonies released from culture plate inserts were pelleted, followed by gentle pipetting to obtain single cells. The anti-miR31-treated cells were eletrotransfected again with 4 μg anti-miR-31 RNA. The other two aliquots were eletrotransfected with scrambled RNA. The three aliquots were replated in Culture Plate Inserts. One of the two aliquots eletrotransfected with scrambled RNA was treated with 200 ng/μl Dox to induce miR-31 overexpression. The remaining aliquot was cultured without Dox. 8 days after culture, colony numbers and size were scored again (second passage). The following 3–6 passages were repeated as above.
Colony formation assays on feeder layers were performed as described by Shackleton et al.5. We sorted Lin− mammary epithelial cells from transgenic mammary glands without Dox treatment, and plated approximately 10,000 mammary epithelial cells onto irradiated NIH3T3 feeders. Solid and acinar colonies were observed and compared with or without Dox treatment for 6 days on feeders.
Cell culture and stable transfection using a Tet-on system
HC11 mouse mammary epithelial cells were cultured in RPMI-1640 medium (R8758, Sigma) supplemented with 10% FBS (Hyclone), 10 ng/ml epithelial growth factor (EGF), 5 μg/ml insulin, and grown to 80% confluence, then changed into Opti-MEM medium without serum and antibiotics so that cells would be 90–95% confluent at the time of transfection. 4 μg of pTet-On plasmid (Clontech) were transfected using LipofectamineTM 2000 according to the manufacturer’s instructions. Positive clones were selected following treatment with 800 μg/ml G418 for 2 weeks. Clones were seeded into 24-well plates with RPMI-1640 medium and genotyped by PCR. Positive clones were co-transfected with TRE-miR31 plasmid and selection vector pTK-Hyg (Clontech) at a molar ratio of 20:1, and selected by addition of 600 μg/ml Hygromycin for 2 weeks. Surviving clones were PCR genotyped. No mycoplasma contamination was detected in any of the cultures using a mycoplasma detection kit.
In vitro lactogenic differentiation assay
HC11 mouse mammary epithelial cells were cultured in RPMI-1640 growth medium supplemented with 10 ng/ml EGF, 5 μg/ml insulin and 10% FBS. For induction of lactogenic differentiation, lactogenic hormones (1 μg/ml dexamethasone, 5 μg/ml insulin and 5 μg/ml prolactin (DIP)) were added to RPMI-1640 medium for 6 days. The cells were treated with 200 ng/ml Doxycycline (Dox), miR-31 inhibitor (Anti-miR-31, GenePharma Co., Ltd), an artificial RNA sequence (5′-CAGCUAUGCCAGCAUCUUGCCU-3′), or scrambled (5′-CAGUACUUUUGUGUAGUACAA-3′). Three independent replicates were performed for each experiment.
Histology and immunostaining
Mammary glands were fixed in 4% PFA, paraffin-embedded and 5-μm sections were stained with hematoxylin and eosin (H&E). For immunohistochemistry staining, antigen-retrieval was performed by heating slides to 95 °C for 10 min in 0.01 M citrate buffer (pH 6) in a microwave oven. The sections were then immunostained by the ABC peroxidase method (Vector Laboratories) with diaminobenzidine as the enzyme substrate and hematoxylin as a counterstain. For detection of nuclear β-Catenin, antibody clone 15B8 (Sigma; 1:1,000) was used in combination with the MOM kit (Vector Laboratories). For immunofluorescence staining, paraffin sections were microwave pretreated, and incubated with primary antibodies, then incubated with secondary antibodies (invitrogen) and counterstained with DAPI in mounting media. The following antibodies were used: K14 (1:400, ab7800, Abcam), K18 (1:400, ab668, Abcam), ERα (1:500, sc-542, Santa Cruz), PR (Cell Signaling Technology), Cyclin D1 (1:100, ab134175, Abcam), c-Myc (1:200, ab32072, Abcam), Ki67 (1:800, sp6, Thermo Fisher), β-catenin (1:400, 8480, Cell Signaling Technology), p-Stat5 (1:500, 9359, Cell Signaling Technology), P-cadherin (1:200, sc-7893, Santa Cruz), p63 (1:500, ab124762, Abcam), β-casein (1:400, sc-166530, Santa Cruz), GFP (1:500, ab290, Abcam), Rankl (1:500, ab45039, Abcam), SMA (1:500, A5228, Sigma), k8 (1:500, ab59400, Abcam), Gata3 (1:800, ab199428, Abcam), Prlr (1:400, sc-20992, Santa Cruz), Slug (1:500, ab27568, Abcam), Vementin (1:400, 5741, Cell Signaling Technology), ITGA2 (1:800, ab133557, Abcam), ITGB1 (1:800, ab52971, Abcam), Dkk1 (1:500, ab61275, Abcam).
Whole mount staining
Inguinal mammary glands were spread on glass slides, fixed in Carnoy’s fixative (6:3:1, 100% ethanol: chloroform: glacial acetic acid) for 2–4 h at room temperature, washed in 70% ethanol for 15 min, rinsed through graded alcohol followed by distilled water for 5 min, then stained in carmine alum overnight, washed in 70, 95 and 100% ethanol for 15 min each, cleared in xylene and mounted with Permount. After photographic documentation, tissues were immersed in xylene to remove mounting medium, transferred to 1:1 xylene: paraffin (60 °C) and embedded in paraffin for sectioning and histological analysis.
Mammary epithelial cell lysates were prepared in lysis buffer (150 mM NaCl, 50 mM Tris-Cl, 1% Triton X-100, 0.1% SDS, 0.5% sodium deoxycholate, 0.02% sodium azide, 1 mM sodium vanadate, protease inhibitors (10 μg/ml leupeptin, 10 μg/ml aprotinin, and 1 mM phenylmethylsulfonyl fluoride)). Protein concentrations were determined using a Bio-Rad protein assay. 20 μg protein was loaded in 4–12% sodium dodecyl sulphate–polyacrylamide gel electrophoresis (Invitrogen), and transferred to nitrocellulose. Membranes were blocked in 5% BSA for 1 h, incubated with the primary antibody overnight at 4 °C, washed, and incubated with the appropriate horseradish-conjugated secondary antibody (1:5,000) for 1 h at room temperature. An enhanced chemiluminescent (ECL) kit was used to visualize the signal (Pierce). The following antibodies and dilutions were used: Dkk1 (1:500, ab61275, Abcam), Axin1 (1:400, sc-14029, Santa Cruz), LBH (1:400, sc-161791, Santa Cruz), β-catenin (1:400, 8480, Cell Signaling Technology), and β-actin (1:400, sc-1616, Santa Cruz), Gsk3β (1:5,000, ab32391, Cell Signaling Technology), p-Smad2/3 (1:1000, 8828, Cell Signaling Technology), Smad4 (1:400, sc-7966, Santa Cruz), Rankl (1:500, ab45039, Abcam), p-p65 (1:1,000, 3033, Cell Signaling Technology), p65 (1:1,000, 8242, Cell Signaling Technology), GAPDH (1:2000, 2118, Cell Signaling Technology), p-ikkα (1:1,000, ab38515, Abcam), p-AKT (1:1000, 9614, Cell Signaling Technology), Gata3 (1:2,000, ab199428, Abcam), Prlr (1:500, sc-20992, Santa Cruz), Cyclin D1 (1:1,000, ab134175, Abcam), c-Myc (1:1,000, ab32072, Abcam), p-Stat5 (1:1000, 9359, Cell Signaling Technology), β-Tubulin (1:4,000, ab6046, Abcam), β-casein (1:500, sc-166530, Santa Cruz), ERα (1:1,000, sc-542, Santa Cruz), k8 (1:2,000, ab59400, Abcam), K14 (1:2,000, ab7800, Abcam), ITGA2 (1:2,000, ab133557, Abcam), ITGB1 (1:2,000, ab52971, Abcam), p21(1:1,000, ab109520, Abcam), smad3 (1:1000, ab40854, Abcam), P-cadherin (1:500, sc-7893, Santa Cruz). Uncropped blots for western blot analysis are shown in Supplementary Fig. 10.
Quantitative RT-PCR analysis
Total RNA was isolated from mammary epithelial cells using the mirVanaTM RNA Isolation kit following manufacturer’s instructions (Ambion). Complementary DNA was prepared using the MMLV cDNA synthesis kit (Promega). qRT-PCR was performed using the SYBR-green detection system (Roche). For microRNA expression, mature miR-31 was quantified using TaqMan microRNA assays according to the manufacturer’s instructions. U6 snRNA was used as an internal control (Applied Biosystems). qRT-PCR primers as follows:
Cdkn2b -forward: 5′-GCCCAATCCAGGTCATGATG-3′;
Cdkn2b -reverse: 5′-TCACACACATCCAGCCGC-3′.
Cdkn1a -forward: 5′-ATCACCAGGATTGGACATGG-3′;
Cdkn1a -reverse: 5′-CGGTGTCAGAGTCTAGGGGA-3′.
Cdkn1c -forward: 5′-GTTCTCCTGCGCAGTTCTCT-3′;
Cdkn1c -reverse: 5′-GTTCTCCTGCGCAGTTCTCT-3′.
Tgfbr1 -forward: 5′-CAACCCAGGTCCTTCCTAAA-3′;
GAPDH -forward: 5′-GTTGTCTCCTGCGACTTCA-3′;
GAPDH -reverse: 5′-TGGTCCAGGGTTTCTTACTC-3′.
In situ hybridization
Dissected mouse mammary glands were pre-fixed for 2 h in 4% PFA (Sigma) at room temperature, placed in PBS with 30% sucrose to minimize freeze fracture at 4 °C overnight, and then sectioned at 12 μm in a cryostat and collected on Superfrost PLUS slides. Slides were fixed in 4% PFA for 10 min at room temperature, washed twice in PBS, and immersed in 0.2 M HCl for 15 min, followed by two 5 min washes in PBS. Proteinase K (10 μg/ml) was added to the slides for 5 min at 37 °C. Slides were rinsed twice in 0.2% glycine, transferred to acetylation solution (590 ml DEPC-treated water, 8 ml triethanolamine, 1050 μl 37% HCl, 1.5 ml acetic anhydride), washed twice in PBS. For miR-31 in situ hybridization, digoxigenin-labeled LNA probes (Exiqon, Vedbaek, Denmark) were used following the manufacturer’s protocol. TSA plus fluorescein system (PerkinElmer) was used to enhance signals.
Dual luciferase activity assays
The Dkk1 3′-UTR was amplified with the following primers: forward 5′-TA TGGGGAAGAGAAGAAACG-3′; and reverse 5′-TTTGGAAGGTATTGTC GGAA-3′. Axin1 3′-UTR was amplified with the following primers: forward 5′-GTTTCTTTTCAGCGGCACTC-3′; and reverse 5′-ATATTTACACGGACAC TTGG-3′). Gsk3β 3′-UTR was amplified with the following primers: forward 5′-TTAGCGGCCGCTCAGTTTCACAGGGTTAT-3′; and reverse 5′-GCGCTCGAGACAAAGGCATTCAAGTAG-3′). Smad3 3′-UTR was amplified with the following primers: forward 5′-CCGCTCGAGCACCACACCGAATGAATG-3′; and reverse 5′-ATAAGAATGCGGCCGCTGGCAATCCTTTACCATAGC-3′). Smad4 3′-UTR was amplified with the following primers: forward 5′-TTACTCCTAGCAGCACCC-3′; and reverse 5′-CAGTTGTCGTCTTCCCTC-3′). 3′-UTRs were cloned into the XhoI and NotI sites of a modified psiCHECK2 vector (Promega) immediately downstream of the Renilla luciferase stop codon. Putative miR-31 recognition elements in the Dkk1 3′-UTR were mutated by site-directed mutagenesis (Stratagene). For the dual luciferase assay, HC11 cells were transfected with 4 μg of Dkk1 3′-UTR, mutated 3′-UTR or control vector using Lipofectamine 2000 (Invitrogen). After 36 h, cells were lysed and the Dual-Glo luciferase reporter assay (Promega) was performed according to the manufacturer’s protocol.
TOP/FOP flash reporter assay
HC11 mouse mammary epithelial cells stably transfected for miR-31 inhibitor and Dox-inducible miR-31 were transfected with 10 μg/100 μl TOPflash reporter plasmid or 10 μg/100μl FOPflash reporter plasmid using Lipofectamine 2000 (Invitrogen). The transfected cells were cultured in the absence or presence of Dox for 24 h, and both firefly and the renila luciferase activities were measured using Dual Luciferase Reporter Assay System Kit (Promega). TOP/FOP activities were calculated following the formula: TOP/FOP = (TOP firefly luciferase activity/renila luciferase activity)/(FOP firefly luciferase activity/renila luciferase activity). MiR-31 inhibitor (anti-miR-31, GenePharma Co., Ltd), an artificial RNA sequence (5′-CAGCUAUGCCAGCAUCUUGCCU-3′). Scrambled RNA was used as a negative control (5′-CAGUACUUUUGUGUAGUACAA-3′). This experiment was repeated three times.
Cell viability assays
Cell viability was assessed by a tetrazolium salt (WST-8)-based colorimetric assay using the Cell Counting Kit 8 (CCK-8, Dojindo, Japan). Briefly, control and Dox-treated cells were seeded onto 96-well plates at an initial density of 5 × 103 cells per well. CCK-8 or medium was added to parallel sets of wells to control for CCK-8 interference. At specified time points, 10 μl of CCK-8 solution was added to each well of the plate, and the plate was incubated for 1 h at 37 °C. Cell viability was determined by scanning with a micro-plate reader at 450 nm. Data were expressed as the relative absorbance rate calculated as follows: relative viability = [A450(Dox)-A450(blank)]/ [A450(control)-A450(blank)]. For cell cycle analysis, cells were washed once in PBS, trypsinized, pelleted at 1,000×g, and rinsed once in 2 ml of cold PBS. After centrifugation, cells were slowly resuspended in 2 ml of cold 75% ethanol, after fixation for 2 h at 4 °C. Cells were washed in 1 ml PBS, stained with 50 μg/ml propidium iodide (PI, Sigma) and treated with 100 μg/ml RNase A (Invitrogen), 0.2% Triton X-100 (Sigma) for 30 min at 4 °C. Cells were analyzed for cell cycle stage by flow cytometry.
Chromatin immunoprecipitation (ChIP) assay
ChIP assays were performed using the SimpleCHIP enzymatic ChIP kit (Cell Signaling Technology) according to the protocol. Cells were harvested and cross-linked with 1% (v/v) formaldehyde for 10 min at RT. Then nuclei were isolated and chromatin was digested into fragments of 150–900 bp by micrococcalnuclease for 20 min at 37 °C, followed by ultrasonic disruption of the nuclear membrane using Sonics Vibra-Cell™ (80% amplitude, seven sets of 20 s pulses). The sonicated nuclear fractions were divided for input control and for overnight incubated at 4 °C with 5 mg of either anti-p65 Ab or the negative control IgG. After incubation with 30 μl of ChIP grade protein G-agarose beads for 2 h at 4 °C, the Ab-protein-DNA complexes were then eluted from the beads and digested by Proteinase K (40 mg) for 2 h at 65 °C, followed by purification of the DNA. Finally, genomic DNA recovered from the ChIP assays were qPCR amplified with primers. The primers used for detection of the p65-binding elements of the miR-31 promoter sequence were as follows respectively: p65-binding site 1-forward: 5′-GCCATGCTTCTGTGTAACCT-3′; p65 binding site 1-reverse: 5′-TCCTCACCTGTTATGCTTGTG-3′; p65 binding site 2-forward: 5′-GCAGTTCAAAGGGCAGTTCA-3′. p65 binding site 2-reverse: 5′-TGTGAGAACATCCCTGCACA-3′. The specificity of each primer set was verified by analyzing the dissociation curve of each gene-specific PCR product.
BRCA subtype analysis
For BRCA subtype analysis, mRNA expression levels from RNA-Seq on TCGA BRCA tumor samples were analyzed. Expression values were obtained by trimmed mean of M-values (TMM) normalization of read counts in genes by edgeR67. BRCA subtype was obtained by combining the classifications of PAM5068 and hierarchical clustering of BRCA Expression values. We used the PAM50 classifier and its associated TCGA69 training cohort by pamr70 and then predicted subtype. Hierarchical clustering was analyzed with Pearson’s correlation and average linkage.
CLIP-qPCR assay performed as previously described with modification. Cells were treated with scramble RNA or miR-31 mimics, and then harvested after irradiated at 400 mJ/cm2 for twice, then resuspended with PXL buffer including RNAsin (Promega) and RQ1 DNAse(Promega), 15,000 r.p.m. for 30 min, remaining supernatant. Protein A Dynabeads (Dynal, 100.02, Thermo Fisher, Fremont, CA) and goat anti-rabbit IgG (Jackson ImmunoResearch, West Grove, PA) or Ago2 antibody incubate for 4 h at 4 °C with rotation. The supernatant was added to the Beads for 2–4 h at 4 °C. Beads were washed twice and digested with Proteinase K (4 mg/ml) after 20 min at 37 4 °C, RNA was extracted from beads using Trizol Reagent (invitrogen) and then quantified with qRT-PCR.
5 × 105 (n = 7 mice each), 1 × 103 (n = 6 mice each), 1 × 102 (n = 6 mice each) PyVT and PyVT/KO primary breast cancer cells were injected into the fourth mammary fat pad of female NOD-SCID mice (6–8 weeks of age). Animals were sacrificed and analyzed 8 weeks after injection. 4T1 mouse mammary breast cancer cells were treated with miR-31 inhibitor and scramble RNA (NC), then 5 × 104 inhibitor- and NC-treated cells were injected into the fourth mammary fat pad of female BALB/C mice (6–8 weeks of age). Animals were sacrificed and analyzed 4 weeks after injection. The mice were randomly divided into different groups before xenografting.
All analyses were performed in triplicate or greater. Two-tailed unpaired student’s t-test was used for statistical analysis when a pair of conditions was compared. Asterisks denote statistical significance (*P < 0.05; **P < 0.01; ***P < 0.001). The data are reported as mean ± S.D., unless mean ± S.E.M. are specifically stated in figure legends. Survival curves were estimated by the Kaplan–Meier method and compared using the Wilcoxon test.
The TCGA data referenced during the study are available in a public repository from the TCGA research website (https://cancergenome.nih.gov/). All other data are available within the Article and its Supplementary Files, or available from the authors upon request.
Richert, M. M., Schwertfeger, K. L., Ryder, J. W. & Anderson, S. M. An atlas of mouse mammary gland development. J. Mammary Gland Biol. Neoplasia 5, 227–241 (2000).
Watson, C. J. & Khaled, W. T. Mammary development in the embryo and adult: a journey of morphogenesis and commitment. Development 135, 995–1003 (2008).
Visvader, J. E. & Stingl, J. Mammary stem cells and the differentiation hierarchy: current status and perspectives. Genes Dev. 28, 1143–1158 (2014).
Van Keymeulen, A. et al. Distinct stem cells contribute to mammary gland development and maintenance. Nature 479, 189–193 (2011).
Shackleton, M. et al. Generation of a functional mammary gland from a single stem cell. Nature 439, 84–88 (2006).
Stingl, J. et al. Purification and unique properties of mammary epithelial stem cells. Nature 439, 993–997 (2006).
Zeng, Y. A. & Nusse, R. Wnt proteins are self-renewal factors for mammary stem cells and promote their long-term expansion in culture. Cell Stem Cell 6, 568–577 (2010).
Wang, D. et al. Identification of multipotent mammary stem cells by protein C receptor expression. Nature 517, 81–84 (2015).
Plaks, V. et al. Lgr5-expressing cells are sufficient and necessary for postnatal mammary gland organogenesis. Cell Rep. 3, 70–78 (2013).
Bouras, T. et al. Notch signaling regulates mammary stem cell function and luminal cell-fate commitment. Cell Stem Cell 3, 429–441 (2008).
Joshi, P. A. et al. Progesterone induces adult mammary stem cell expansion. Nature 465, 803–807 (2010).
Asselin-Labat, M. L. et al. Control of mammary stem cell function by steroid hormone signalling. Nature 465, 798–802 (2010).
Schramek, D. et al. Osteoclast differentiation factor RANKL controls development of progestin-driven mammary cancer. Nature 468, 98–102 (2010).
Gonzalez-Suarez, E. et al. RANK ligand mediates progestin-induced mammary epithelial proliferation and carcinogenesis. Nature 468, 103–107 (2010).
Yoldi, G. et al. RANK signaling blockade reduces breast cancer recurrence by inducing tumor cell differentiation. Cancer Res. 76, 5857–5869 (2016)
Pfitzner, B. M. et al. RANK expression as a prognostic and predictive marker in breast cancer. Breast Cancer Res. Treat. 145, 307–315 (2014).
Cross, S. S. et al. Expression of receptor activator of nuclear factor kappabeta ligand (RANKL) and tumour necrosis factor related, apoptosis inducing ligand (TRAIL) in breast cancer, and their relations with osteoprotegerin, oestrogen receptor, and clinicopathological variables. J. Clin. Pathol. 59, 716–720 (2006).
Rajaram, R. D. et al. Progesterone and Wnt4 control mammary stem cells via myoepithelial crosstalk. EMBO J. 34, 641–652 (2015).
Cai, C. et al. R-spondin1 is a novel hormone mediator for mammary stem cell self-renewal. Genes Dev. 28, 2205–2218 (2014).
Li, Y. et al. Evidence that transgenes encoding components of the Wnt signaling pathway preferentially induce mammary cancers from progenitor cells. Proc. Natl Acad. Sci. USA 100, 15853–15858 (2003).
Anderson, E. & Clarke, R. B. Steroid receptors and cell cycle in normal mammary epithelium. J. Mammary Gland Biol. Neoplasia. 9, 3–13 (2004).
Teuliere, J. et al. Targeted activation of beta-catenin signaling in basal mammary epithelial cells affects mammary development and leads to hyperplasia. Development 132, 267–277 (2005).
Polakis, P. Wnt signaling in cancer. Cold Spring Harb. Perspect. Biol. 4, (2012).
Gangaraju, V. K. & Lin, H. MicroRNAs: key regulators of stem cells. Nat. Rev. Mol. Cell Biol. 10, 116–125 (2009).
Crist, C. G., Montarras, D. & Buckingham, M. Muscle satellite cells are primed for myogenesis but maintain quiescence with sequestration of Myf5 mRNA targeted by microRNA-31 in mRNP granules. Cell Stem Cell 11, 118–126 (2012).
Xie, Q. et al. Effects of miR-31 on the osteogenesis of human mesenchymal stem cells. Biochem. Biophys. Res. Commun. 446, 98–104 (2014).
Weilner, S. et al. Secreted microvesicular miR-31 inhibits osteogenic differentiation of mesenchymal stem cells. Aging Cell 15, 744–754 (2016).
Greene, S. B., Gunaratne, P. H., Hammond, S. M. & Rosen, J. M. A putative role for microRNA-205 in mammary epithelial cell progenitors. J. Cell Sci. 123, 606–618 (2010).
Ibarra, I., Erlich, Y., Muthuswamy, S. K., Sachidanandam, R. & Hannon, G. J. A role for microRNAs in maintenance of mouse mammary epithelial progenitor cells. Genes Dev. 21, 3238–3243 (2007).
Pal, B. et al. Integration of microRNA signatures of distinct mammary epithelial cell types with their gene expression and epigenetic portraits. Breast Cancer Res. 17, 85 (2015).
Laurila, E. M. & Kallioniemi, A. The diverse role of miR-31 in regulating cancer associated phenotypes. Genes Chromosomes Cancer 52, 1103–1113 (2013).
Song, S. J. et al. MicroRNA-antagonism regulates breast cancer stemness and metastasis via TET-family-dependent chromatin remodeling. Cell 154, 311–324 (2013).
Chao, C. H. et al. MicroRNA-205 signaling regulates mammary stem cell fate and tumorigenesis. J. Clin. Invest. 124, 3093–3106 (2014).
Brantley, D. M. et al. Dynamic expression and activity of NF-kappaB during post-natal mammary gland morphogenesis. Mech. Dev. 97, 149–155 (2000).
Cao, Y. et al. IKKalpha provides an essential link between RANK signaling and cyclin D1 expression during mammary gland development. Cell 107, 763–775 (2001).
Dilworth, S. M. Polyoma virus middle T antigen and its role in identifying cancer-related molecules. Nat. Rev. Cancer 2, 951–956 (2002).
Ozes, O. N. et al. NF-kappaB activation by tumour necrosis factor requires the Akt serine-threonine kinase. Nature 401, 82–85 (1999).
Bai, D., Ueno, L. & Vogt, P. K. Akt-mediated regulation of NFkappaB and the essentialness of NFkappaB for the oncogenicity of PI3K and Akt. Int. J. Cancer 125, 2863–2870 (2009).
Delhase, M., Hayakawa, M., Chen, Y. & Karin, M. Positive and negative regulation of IkappaB kinase activity through IKKbeta subunit phosphorylation. Science 284, 309–313 (1999).
Palafox, M. et al. RANK induces epithelial-mesenchymal transition and stemness in human mammary epithelial cells and promotes tumorigenesis and metastasis. Cancer Res. 72, 2879–2888 (2012).
Kouros-Mehr, H., Slorach, E. M., Sternlicht, M. D. & Werb, Z. GATA-3 maintains the differentiation of the luminal cell fate in the mammary gland. Cell 127, 1041–1055 (2006).
Radice, G. L. et al. Precocious mammary gland development in P-cadherin-deficient mice. J. Cell Biol. 139, 1025–1032 (1997).
Shimomura, Y., Wajid, M., Shapiro, L. & Christiano, A. M. P-cadherin is a p63 target gene with a crucial role in the developing human limb bud and hair follicle. Development 135, 743–753 (2008).
Miyoshi, K. et al. Signal transducer and activator of transcription (Stat) 5 controls the proliferation and differentiation of mammary alveolar epithelium. J. Cell Biol. 155, 531–542 (2001).
Asch-Kendrick, R. & Cimino-Mathews, A. The role of GATA3 in breast carcinomas: a review. Hum. Pathol. 48, 37–47 (2016).
Li, Z. et al. ETV6-NTRK3 fusion oncogene initiates breast cancer from committed mammary progenitors via activation of AP1 complex. Cancer Cell 12, 542–558 (2007).
Malanchi, I. et al. Interactions between cancer stem cells and their niche govern metastatic colonization. Nature 481, 85–89 (2012).
Polyak, K. & Weinberg, R. A. Transitions between epithelial and mesenchymal states: acquisition of malignant and stem cell traits. Nat. Rev. Cancer 9, 265–273 (2009).
Fischer, K. R. et al. Epithelial-to-mesenchymal transition is not required for lung metastasis but contributes to chemoresistance. Nature 527, 472–476 (2015).
Zheng, X. et al. Epithelial-to-mesenchymal transition is dispensable for metastasis but induces chemoresistance in pancreatic cancer. Nature 527, 525–530 (2015).
Ribeiro, A. S. & Paredes, J. P-Cadherin linking breast cancer stem cells and invasion: a promising marker to identify an “Intermediate/Metastable” EMT state. Front. Oncol. 4, 371 (2014).
Ramirez, N. E. et al. The alpha(2)beta(1) integrin is a metastasis suppressor in mouse models and human cancer. J. Clin. Invest. 121, 226–237 (2011).
Roarty, K. & Rosen, J. M. Wnt and mammary stem cells: hormones cannot fly wingless. Curr. Opin. Pharmacol. 10, 643-649 (2010)
Gu, B., Watanabe, K., Sun, P., Fallahi, M. & Dai, X. Chromatin effector Pygo2 mediates Wnt-notch crosstalk to suppress luminal/alveolar potential of mammary stem and basal cells. Cell Stem Cell 13, 48–61 (2013).
Macias, H. et al. SLIT/ROBO1 signaling suppresses mammary branching morphogenesis by limiting basal cell number. Dev. Cell 20, 827–840 (2011).
Lindley, L. E. et al. The WNT-controlled transcriptional regulator LBH is required for mammary stem cell expansion and maintenance of the basal lineage. Development 142, 893–904 (2015).
Liu, B. Y., McDermott, S. P., Khwaja, S. S. & Alexander, C. M. The transforming activity of Wnt effectors correlates with their ability to induce the accumulation of mammary progenitor cells. Proc. Natl Acad. Sci. USA 101, 4158–4163 (2004).
Guy, C. T., Cardiff, R. D. & Muller, W. J. Induction of mammary tumors by expression of polyomavirus middle T oncogene: a transgenic mouse model for metastatic disease. Mol. Cell Biol. 12, 954–961 (1992).
Mulrane, L., Gallagher, W. M. & O’Connor, D. P. A novel mechanism of regulation of the anti-metastatic miR-31 by EMSY in breast cancer. Breast Cancer Res. 16, 467 (2014).
Sossey-Alaoui, K. et al. WAVE3, an actin remodeling protein, is regulated by the metastasis suppressor microRNA, miR-31, during the invasion-metastasis cascade. Int. J. Cancer 129, 1331–1343 (2011).
Luo, L. J. et al. MiR-31 inhibits migration and invasion by targeting SATB2 in triple negative breast cancer. Gene 594, 47–58 (2016).
Rasheed, S. A. et al. MicroRNA-31 controls G protein alpha-13 (GNA13) expression and cell invasion in breast cancer cells. Mol. Cancer 14, 67 (2015).
Cheung, K. J., Gabrielson, E., Werb, Z. & Ewald, A. J. Collective invasion in breast cancer requires a conserved basal epithelial program. Cell 155, 1639–1651 (2013).
Chen, T. et al. MicroRNA-31 contributes to colorectal cancer development by targeting factor inhibiting HIF-1alpha (FIH-1). Cancer Biol. Ther. 15, 516–523 (2014).
Liu, X. et al. MicroRNA-31 functions as an oncogenic microRNA in mouse and human lung cancer cells by repressing specific tumor suppressors. J. Clin. Invest. 120, 1298–1309 (2010).
Diamond, I., Owolabi, T., Marco, M., Lam, C. & Glick, A. Conditional gene expression in the epidermis of transgenic mice using the tetracycline-regulated transactivators tTA and rTA linked to the keratin 5 promoter. J. Invest. Dermatol. 115, 788–794 (2000).
Robinson, M. D., McCarthy, D. J. & Smyth, G. K. edgeR: a bioconductor package for differential expression analysis of digital gene expression data. Bioinformatics 26, 139–140 (2010).
Parker, J. S. et al. Supervised risk predictor of breast cancer based on intrinsic subtypes. J. Clin. Oncol. 27, 1160–1167 (2009).
Cancer Genome Atlas Network. Comprehensive molecular portraits of human breast tumours. Nature 490, 61–70 (2012).
Tibshirani, R., Hastie, T., Narasimhan, B. & Chu, G. Diagnosis of multiple cancer types by shrunken centroids of gene expression. Proc. Natl Acad. Sci. USA 99, 6567–6572 (2002).
We thank Bogi Andersen (University of California, Irvine) for editing the manuscript. Z.Y. is supported by the National Natural Science Foundation of China (No. 81572614, 31271584); Beijing Nature Foundation Grant (5162018); the Major Project for Cultivation Technology (2016ZX08008001, 2014ZX08008001); National Dairy Industry and Technology System (No.CARS-36); Basic Research Program (2015QC0104, 2015TC041, 2016SY001, 2016QC086); SKLB Open Grant (2015SKLB6-16). M.V.P. is supported by the NIH NIAMS grants R01-AR067273, R01-AR069653. J.S. is supported by the National Natural Science Foundation of China (No. 31370830 and 11675134) and the 111 Project (No. B16029).
The authors declare no competing financial interests.
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Lv, C., Li, F., Li, X. et al. MiR-31 promotes mammary stem cell expansion and breast tumorigenesis by suppressing Wnt signaling antagonists. Nat Commun 8, 1036 (2017). https://doi.org/10.1038/s41467-017-01059-5
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