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Research Articles
MicroRNA 376c enhances ovarian cancer cell survival by targeting activin receptor-like kinase 7: implications for chemoresistance
Gang Ye, Guodong Fu, Shiying Cui, Sufen Zhao, Stefanie Bernaudo, Yin Bai, Yanfang Ding, Yaou Zhang, Burton B. Yang, Chun Peng
J Cell Sci 2011 124: 359-368; doi: 10.1242/jcs.072223

Summary

MicroRNAs (miRNAs) are small noncoding RNAs that have important roles in gene regulation. We have previously reported that activin receptor-like kinase 7 (ALK7) and its ligand, Nodal, induce apoptosis in human epithelial ovarian cancer cells. In this study, we examined the regulation of ALK7 by miRNAs and demonstrate that miR-376c targets ALK7. Ectopic expression of miR-376c significantly increased cell proliferation and survival, enhanced spheroid formation and blocked Nodal-induced apoptosis. Interestingly, overexpression of miR-376c blocked cisplatin-induced cell death, whereas anti-miR-376c enhanced the effect of cisplatin. These effects of miR-376c were partially compensated by the overexpression of ALK7. Moreover, in serous carcinoma samples taken from ovarian cancer patients who responded well to chemotherapy, strong ALK7 staining and low miR-376c expression was detected. By contrast, ALK7 expression was weak and miR-376c levels were high in samples from patients who responded poorly to chemotherapy. Finally, treatment with cisplatin led to an increase in expression of mRNA encoding Nodal and ALK7 but a decrease in miR-376c levels. Taken together, these results demonstrate that the Nodal–ALK7 pathway is involved in cisplatin-induced cell death in ovarian cancer cells and that miR-376c enhances proliferation, survival and chemoresistance by targeting, at least in part, ALK7.

Introduction

MicroRNAs (miRNAs) are single-stranded, small noncoding RNAs of 18–22 nucleotides in length, which have an important regulatory role in gene expression (Chendrimada et al., 2005; Hutvagner and Zamore, 2002; Lim et al., 2003; Lund et al., 2004). A major mechanism by which miRNAs regulate gene expression is via partial base pairing with the 3′-untranslated region (3′UTR) of the target mRNAs to repress their translation (Chekulaeva and Filipowicz, 2009; Seitz et al., 2003). MicroRNAs have been shown to regulate many developmental and physiological processes and their involvement in a variety of human diseases has been increasingly recognized (Ambs et al., 2008; Aqeilan et al., 2009; Johnston and Hobert, 2003; Packer et al., 2008; Sokol and Ambros, 2005; Wienholds et al., 2005; Zhao et al., 2005). Several lines of evidence have suggested that miRNAs are involved in cancer development. About 50% of annotated human miRNAs are located in areas of the genome, known as fragile sites, which are associated with cancer (Manikandan et al., 2008). In addition, many miRNAs are known to be up- or down-regulated in a variety of cancers (Jung et al., 2009; Ventura and Jacks, 2009) and can have either tumor-promoting or tumor-suppressing effects (Selcuklu et al., 2009).

Ovarian cancer is the sixth most commonly diagnosed cancer (Permuth-Wey and Sellers, 2009) and the fourth most common cause of cancer death among women in the world (Kumaran et al., 2009). There are three major types of human ovarian cancers: epithelial, stromal and germ cell. About 90% of ovarian cancers are epithelial ovarian cancer (EOC), which has a poor prognosis mainly because of late diagnosis and acquired chemoresistance (Williams et al., 2007). Recent studies have shown that miRNAs exhibit genomic alterations at a high frequency (Zhang et al., 2006a) and that their expression is deregulated in ovarian cancer (Dahiya et al., 2008; Taylor and Gercel-Taylor, 2008), strongly suggesting that abnormal miRNA expression constitutes a crucial step in ovarian cancer development. However, the role of miRNAs in ovarian cancer is not well understood.

The transforming growth factor-β (TGF-β) superfamily includes many structurally and functionally related polypeptide growth factors (Gordon and Blobe, 2008). These factors initiate their cellular effects by binding to cell surface receptors, including type I (activin receptor-like kinases ALK1–ALK7) and type II serine/threonine receptors. Binding of ligands to type II receptors results in conformational changes that induce complex formation with type I receptors. Subsequently, type I receptors are phosphorylated by type II receptors (Attisano and Wrana, 2002) and in turn induce downstream intracellular signaling cascades (Derynck and Zhang, 2003). We have previously demonstrated that Nodal acts through ALK7 (also known as activin receptor type-1C, encoded by ACVR1C) to inhibit proliferation and to induce apoptosis of epithelial ovarian cancer cells (Xu et al., 2004; Xu et al., 2006). Interestingly, Nodal and ALK7 are more effective at inducing apoptosis in chemosensitive ovarian cancer cells than in their chemoresistant counterparts, suggesting that the Nodal–ALK7 signaling pathway is involved in the development of ovarian cancer and/or chemosensitivity.

To explore the possibility that ALK7 expression is regulated by miRNAs, FindTar (Hua et al., 2006; Wang et al., 2008) was used to analyze the interaction between miRNAs and the 3′UTR of ALK7. Several miRNAs, including miR-376c (previously known as miR-368), were found to have potential complementary binding sites on the 3′UTR of ALK7 mRNA. MiR-376c belongs to an evolutionary conserved miRNA family which also includes miR-376a, miR-376a* and miR-376b, and these genes are found in a syntenic cluster on human chromosome 14 (Seitz et al., 2004). Although miR-376c was reported to be upregulated in a subset of acute myeloid leukaemia specimens (Dixon-McIver et al., 2008; Li et al., 2008), no target genes for miR-376c have been experimentally confirmed and its functions have not yet been reported.

In this study, we examined the effect of miR-376c on ALK7 expression and cell proliferation and apoptosis using ovarian cancer cell lines. We found that miR-376c increased cell proliferation and survival, as well as spheroid formation, in part by targeting ALK7. We have also provided evidence that the Nodal–ALK7 pathway is involved in cisplatin-induced ovarian cancer cell death and that miR-376c might promote chemoresistance.

Results

miR-376c targets ALK7 3′ UTR to suppress its expression

To determine whether ALK7 can be regulated by miRNAs, FindTar was first used to predict miRNAs that could potentially target the ALK7 3′UTR. Several miRNAs, including miR-22, miR-122a, miR-147, miR-368, miR-376a, miR-376b and miR-412 were identified to have the potential target sites at the ALK7 3′UTR (supplementary material Fig. S1A). A reporter construct containing ALK7 3′UTR downstream of the luciferase coding sequence was then generated and luciferase assays were performed to determine the effect of these miRNAs. Among all miRNAs tested, only miR-368 was found to have an inhibitory effect (supplementary material Fig. S1B). When miR-368 was renamed miR-376c in 2007 and an additional ‘A’ was added to its sequence at the 5′ end, we repeated all experiments using miR-376c. Western blot analyses revealed that miR-376c, but not miR-22, decreased ALK7 protein levels. Similarly, two siRNAs designed to knock down ALK7 also inhibited ALK7 expression (Fig. 1A). However, mRNA levels of ALK7 were not affected by miR-376c (Fig. 1A). By contrast, anti-miR-376c increased ALK7 protein levels (Fig. 1A). Luciferase reporter assays showed that miR-376c (Fig. 1B), but not related family members, miR-376a, miR-376a* and miR-376b (Fig. 1C), suppressed the luciferase activity. Mutation of the miR-376c target sites at the ALK7 3′UTR significantly reduced the inhibitory effect of miR-376c on luciferase activity (Fig. 1D). In addition, miR-376c did not alter the luciferase activity of the control p-Mir-Report vector, which does not contain the ALK7 3′UTR sequence (supplementary material Fig. S2).

Fig. 1.
Fig. 1.

miR-376c targets ALK7. (A) Western blot of OV2008 cells transfected with negative control (NC), miR-22(22), miR-376c (376c), and two ALK7 siRNAs (siRNA1 and siRNA2) reveals that miR-376c decreases ALK7 protein levels. *P<0.001 vs mock and NC, n=3 experiments. However, anti-miR-376c (a376c) enhances ALK7 expression when compared with its negative control (aNC). RT-PCR shows that the mRNA levels of full-length ALK7 (ALK7-1) and its splice variants, ALK7-3 and ALK7-4 were not affected by miR-376c in OV2008 cells. (B) The predicted target site of miR-376c on ALK7 3′UTR and the effect of miR-376c on the luciferase activity of a luciferase-ALK7 3′UTR reporter construct in two ovarian cancer cell lines, OV2008 and A2780s. *P<0.05 vs NC, n=5 (OV2008) or 3 (A2780s) experiments. (C) Other members of the miR-376 family, including miR-376a, miR-376b and miR-376a* do not regulate ALK7 3′UTR activity. *P<0.01 vs other groups (n=3 experiments). (D) Mutations of ALK7 3′UTR to disrupt potential binding by miR-376c suppress the activity of miR-376c. Three luciferase reporter constructs with mutations at the predicted miR-376c target site within the ALK7 3′UTR were generated (top). OV2008 cells were transfected with the wild-type ALK7 3′UTR construct or a mutant construct, together with negative control (NC) or miR-376c. Luciferase assays were performed 24 hours after transfection (bottom). *P<0.05 vs NC; #P<0.05 vs the corresponding group in mutants (n=3 experiments). All values are means ± s.e.m.

miR-376c promotes ovarian cancer cell proliferation, survival and spheroid formation

To determine the potential role of miR-376c in ovarian cancer development, we first determined its effects on cell proliferation and viability. When cells were transfected with miR-376c or an siRNA to knock down ALK7, there was an increase in cell density (Fig. 2A). Further analysis using WST-1 (Fig. 2B) and BrdU (Fig. 2C) assays revealed that overexpression of miR-376c or silencing of ALK7 expression, significantly increased cell viability and proliferation in two EOC cell lines, OV2008 and A2780s. The effect of miR-376c on cell viability could be inhibited by overexpression of ALK7 (Fig. 2D). Initial studies were performed using mock transfection, negative control siRNA and scramble negative control for miR-376c and no difference was observed between these controls (data not shown). Therefore, only the negative control siRNA was used for subsequent studies.

We then used an in vitro 3D culture model to examine the potential role of miR-376c in ovarian tumor formation. Overexpression of miR-376c in SKOV-3 cells resulted in the formation of larger spheroids with higher cell density (Fig. 3A). ALK7 siRNA also increased the size and density of spheroids (Fig. 3A). As shown in Fig. 3B, transfection of miR-376c or ALK7 siRNA significantly increased the size of spheroids, whereas ectopic expression of ALK7 significantly reversed the effect of miR-376c (Fig. 3C). Furthermore, inhibition of endogenous miR-376c by anti-miR-376c phenocopied the effect of ALK7 overexpression and decreased the size of spheroids (Fig. 3D).

Fig. 2.
Fig. 2.

Ectopic expression of miR-376c enhances cell proliferation and survival. (A) Morphology of cells in mock, negative control (NC), miR-376c, and ALK7 siRNA2 transfected OV2008 cells. (B) miR-376c and ALK7 siRNAs increase cell viability. OV2008 and A2780S cells were transfected with miR-376c, two ALK7 siRNAs, or their negative control (NC) and cell viability was measured by WST-1 assays 72 hours after transfection. *P<0.05 vs mock and NC (n=3 experiments). (C) miR-376c and ALK7 siRNAs increased cell proliferation as determined by BrdU assays. *P<0.05 vs mock and NC (n=4 experiments). (D) Ectopic expression of ALK7 partially reverses the effect of miR-376c. Cells were transfected with NC or miR-376c, together with either the empty vector (EV) control or ALK7-expressing plasmid. WST-1 assays were performed 48 hours after transfection (n=4 experiments). *P<0.05.

Fig. 3.
Fig. 3.

MicroRNA-376c enhances spheroid formation. Skov-3 cells were transfected as indicated in each graph. At 24 hours after transfection, hanging droplets (each containing 10,000 cells) were plated and spheroids were photographed at day 4. (A) Spheroid formation in SKOV-3 cells transfected with mock, negative control (NC), miR-376c and ALK7 siRNA2. miR-376c-transfected cells and to a lesser extent, ALK7 siRNA cells form larger spheroids with a higher cell density, when compared with the mock or control cells. Scale bars: 50 μm. (B) Quantification of spheroid sizes. *P<0.05 vs Mock and NC (n=5 experiments). (C) Ectopic expression of ALK7 partially reverses the effect of miR-376c. Cells were transfected with NC or miR-376c, together with either the empty vector (EV) control or ALK7-expressing plasmid. *P<0.05 (n=3 experiments). (D) Anti-miR-376c decreases the size of spheroids. *P<0.05 vs negative control (anti-NC, n=3 experiments).

miR-376c suppresses Nodal-induced apoptosis

We have previously shown that Nodal acts through ALK7 to induce apoptosis in ovarian cancer cells (Xu et al., 2004; Xu et al., 2006). Since miR-376c suppresses ALK7 expression, we tested whether it would block Nodal-induced apoptosis. An OV2008 cell line stably transfected with NODAL cDNA was generated, and expression of Nodal following doxycyclin withdrawal was confirmed by RT-PCR and western blotting (Fig. 4A). Using TUNEL assays, we found that the number of apoptotic cells increased significantly after induction of Nodal expression. However, this effect was blocked by transfection with miR-376c, NODAL siRNA and ALK7 siRNA (Fig. 4B). We also tested whether Nodal signaling through Smad2 could be blocked by miR-376c. Non-transfected cells or cells transfected with negative control, miR-376c, or ALK7 siRNA were treated with recombinant human Nodal (rhNodal) for 1 hour and protein lysates were analyzed for phosphorylated and total Smad2. Activation of Smad2 by Nodal was weaker in cells transfected with miR-376c and ALK7 siRNA than that in the mock or negative control cells (Fig. 4C). Similarly, treatment of rhNodal decreased cell viability, and this action was inhibited by transfection with miR-376c and ALK7 siRNA (Fig. 4D). Finally, miR-376c, ALK7 and NODAL siRNA also reversed the effect of Nodal overexpression on caspase 3 activity (Fig. 4E).

miR-376c blocks cisplatin-induced cell death

Because we have shown that the Nodal–ALK7 pathway might be involved in chemosensitivity (Xu et al., 2004), we next tested whether miR-376c, as well as ALK7 and NODAL siRNAs, would alter the sensitivity of cells to cisplatin. Overexpression of miR-376c significantly reduced the effect of cisplatin (Fig. 5A). Dose-dependent studies using WST-1 assays revealed that miR-376c increased, whereas anti-miR-376c decreased, the IC50 of cisplatin (Fig. 5B). Similarly to miR-376c, NODAL siRNA and ALK7 siRNA also inhibited cisplatin-induced cell death (Fig. 5C). Furthermore, miR-376c and siRNAs targeting Nodal and ALK7 also blocked the effect of another chemotherapeutic agent, carboplatin (Fig. 5D). However, overexpression of ALK7 partially rescued the cell survival effect of miR-376c (Fig. 5E). To confirm that miR-376c affects the sensitivity of ovarian cancer cells to cisplatin, we transfected OV2008 cells with different doses of anti-miR-376c and treated cells with cisplatin. As shown in Fig. 6A, anti-miR-376c further decreased total cell number in a dose-dependent manner. When anti-miR-376c was cotransfected with miR-376c, the survival-enhancing effect of miR-376c was completely abolished (Fig. 6B).

Fig. 4.
Fig. 4.

Nodal-induced apoptosis is blocked by miR-376c in OV2008 cells. (A) A Nodal stable cell line was established using the Tet-off system and expression of NODAL mRNA (RT-PCR) and Nodal protein (Myc tag detection) was observed following the withdrawal of doxycycline from the medium. (B) TUNEL assay of Nodal stable cell line. Induction of Nodal expression increases apoptotic cell number but this effect is blocked by miR-376c (376c), NODAL siRNA (siNodal) and ALK7 siRNA (siALK7). *P<0.01 vs all other groups (n=3 experiments). (C) miR-376c inhibits Nodal-induced Smad2 activation. Non-transfected OV2008 cells (mock) or cells transfected with negative control (NC), miR-376c (376c) or ALK7 siRNA (siALK7) were treated with recombinant human Nodal (rhNodal) for 1 hour. Protein lysates were then probed for phosphorylated Smad2, total Smad2 and β-actin. (D) OV2008 cells were transfected and treated with rhNodal as in C, and 48 hours later; cell viability was determined by Multiplex cytotoxicity assay. The inhibitory effect of Nodal on cell viability is reversed by miR-376c and ALK7 siRNA. *P<0.05 vs other groups (n=3 experiments). (E) Activation of caspase 3 by Nodal is blocked by miR-376c and NODAL siRNA or ALK7 siRNA. Cells were transiently transfected with control empty vector (EV) or Nodal plasmid, alone or with RNA duplexes as indicated. Western blot was performed 48 hours after transfection.

Differential expression of ALK7 and miR-376c in chemosensitive and chemoresistant ovarian tumors

To further assess the role of ALK7 and miR-376c in the chemosensitivity of ovarian cancer cells, we compared the expression of ALK7 and miR-376c levels in serous ovarian tumors taken from patients who subsequently underwent platinum-based chemotherapy and showed either complete (CR) or incomplete (IR) response to the therapy. Immunohistochemistry studies revealed that CR samples displayed numerous papillary structures that were clearly outlined by the ALK staining (Fig. 7A,C). By contrast, very week staining was detected for ALK7 in IR samples (Fig. 7B,D). The levels of miR-376c in these samples were inversely related to ALK7 staining intensity; IR samples showed a significantly higher miR-376c level than the CR samples (Fig. 7E).

Cisplatin stimulates Nodal and ALK7 expression

To further examine the involvement of Nodal–ALK7 pathway and miR-376c in cisplatin-induced apoptosis, we measured NODAL and ALK7 mRNA and miR-376c levels in cells treated with different concentrations of cisplatin. In OV2008 cells, mRNA levels of NODAL (Fig. 8A) and ALK7 (Fig. 8B) increased following cisplatin treatment. Time-course studies revealed that cisplatin treatment strongly induced Nodal mRNA expression over 3–24 hours (Fig. 8C). Interestingly, miR-376c levels were significantly decreased after cisplatin treatment (Fig. 8D).

Discussion

It has been reported that miR-368, which is now known as miR-376c, is overexpressed in a subset of acute myeloid leukemia samples (Dixon-McIver et al., 2008; Li et al., 2008). It has also been shown that the miR-376 cluster transcripts can undergo adenosin-to-inosine editing in a tissue-specific manner, leading to the silencing of a different set of genes (Kawahara et al., 2007). However, target genes and functions of miR-376c have not been reported. In this study, we provide the first evidence that miR-376c exerts pro-survival functions in ovarian cancer cells by suppressing the expression of ALK7. Interestingly, we found that miR-376c and the Nodal–ALK7 pathway can modulate the sensitivity of ovarian cancer cells to chemotherapeutic agents, such as cisplatin and carboplatin.

Using bioinformatic tools, we first identified a number of miRNAs that potentially target the ALK7 3′UTR. However, only one out of the seven miRNAs tested was able to inhibit ALK7 expression in luciferase reporter assays and in western blot analyses. The effect of miR-376c on ALK7 is highly specific, because closely related family members, such as miR-376a and miR-376b, which differ from miR-376c by two or three base pairs, were unable to suppress ALK7 expression in the reporter assays. Furthermore, mutation of a single nucleotide in the targeting region of the ALK7 3′UTR significantly reduced the activity of miR-376c, whereas mutation of several nucleotides completely rendered miR-376c inactive. These findings confirm that ALK7 is a target of miR-376c.

Fig. 5.
Fig. 5.

MicroRNA-376c inhibits cisplatin- and carboplatin-induced cell death. (A) Treatment of OV2008 cells with 2.5 μM cisplatin decreases cell number; however, this effect is inhibited by transfection with miR-376c. *P<0.05 vs mock and negative control (NC, n=3 experiments). Cell morphology in control and 2.5 μM cisplatin-treated cells with or without miR-376c transfection is also shown. (B) miR-376c increases, whereas anti-miR-376c decreases, the IC50 value of cisplatin. OV2008 cells were transfected with NC, miR-376c, anti-NC or anti-miR-376c and then treated with different concentrations of cisplatin. WST-1 assays were performed 48 hours after cisplatin treatment. Graph shows a representative WST-1 assay (n=8); IC50 values are means ± s.e.m. of three experiments. *P<0.05 vs NC and anti-NC. (C) miR-376c, NODAL siRNA and ALK7 siRNA reduce cisplatin-induced cell death. OV2008 cells were transfected with or without negative control (NC), miR-376c, ALK7 or NODAL siRNA, and then treated with cisplatin (2.5 μM). Cells were counted at 48 hours after treatment.*P<0.05 vs mock and NC (n=4 experiments). (D) A2780s cells were transfected with or without negative control (NC), miR-376c, ALK7 or NODAL siRNA, and then treated with cisplatin or carboplatin. Cell numbers were counted 48 hours after treatment. *P<0.05 vs mock and NC under the same treatment (n=3 experiments). (E) Overexpression of ALK7 partially rescues the effect of miR-376c. Cells were transfected with the control pcDNA4 vector or ALK7 expression plasmid, along with control miR (NC) or miR-376c, and then treated with cisplatin (2.5 μM) for 24 hours. *P<0.05 (n=3 experiments).

In this study, we found that ectopic expression of miR-376c promotes cell proliferation, survival and spheroid formation. Consistent with our previous findings that Nodal inhibits proliferation and induces apoptosis via ALK7 (Munir et al., 2004; Xu et al., 2004; Xu et al., 2006), knockdown of ALK7 using siRNA also resulted in an increase in cell proliferation, viability and spheroid formation. Furthermore, we observed that the effect of miR-376c could be reversed by overexpression of ALK7. These findings further support the role of ALK7 in regulating cell proliferation and apoptosis and suggest that miR-376c promotes cell proliferation and survival, in part by inhibiting ALK7 expression.

Our studies provide evidence that the Nodal–ALK7 pathway is involved in cisplatin-induced cell death. We found that silencing of Nodal and ALK7 expression using siRNAs significantly reduced the effect of cisplatin on cell death. Furthermore, treatment with cisplatin increased NODAL and ALK7 mRNA levels. These findings strongly suggest that the Nodal–ALK7 pathway has an important role in determining sensitivity of ovarian cancer cells to cisplatin. The TGFβ signaling pathway has been previously implicated in drug resistance in cancer cells. For example, breast cancer cells that are resistant to the growth inhibiting effect of TGFβ1 were also resistant to cisplatin (Stoika et al., 2008). In addition, cisplatin and other anti-cancer drugs induce the production of TGFβ1 in breast cancer cells (Stoika et al., 2003). Moreover, TGFβ1 sensitizes oral cancer cells to cisplatin treatment (Thavaraj et al., 2005). Finally, Mullerian-inhibiting substance enhances the effect of chemotherapeutic agents on ovarian cancer cells (Pieretti-Vanmarcke et al., 2006). The mechanism by which the Nodal–ALK7 pathway enhances chemosensitivity is not known. However, it is possible that this might involve a downregulation of survival pathways. Nodal and ALK7 have been reported to inhibit Akt activity (Wang et al., 2006; Zhang et al., 2006b), as well as the expression of X-linked inhibitor of the apoptotic protein (Xiap) (Xu et al., 2006). Since it has been well documented that Akt and Xiap promote chemoresistance in ovarian cancer cells (Asselin et al., 2001; Fraser et al., 2008; Sasaki et al., 2000; Yang et al., 2006), an inhibition of Xiap and Akt by the Nodal–ALK7 pathway would enhance the effect of cisplatin.

Several studies have suggested that miRNAs are novel players in the development of chemoresistance. MicroRNAs are differentially expressed in chemosensitive and chemoresistant cells (Boren et al., 2009; Xia et al., 2008). MicroRNA-98 and miR-21 have been shown to potentiate chemoresistance (Hebert et al., 2007; Moriyama et al., 2009). In this study, we found that forced overexpression of miR-376c inhibited the effects of cisplatin, whereas inhibition of endogenous miR-376c by anti-miR-376c sensitized the cells to cisplatin. Importantly, analysis of miR-376c and ALK7 levels in tumor samples revealed that ALK7 levels were higher in chemosensitive tumors than in their chemoresistant counterparts, whereas miR-376c exhibited the opposite expression pattern. Moreover, cisplatin significantly reduced miR-376c levels. These findings suggest that the miR-376c level is a determinant of the responsiveness of ovarian cancer cells to chemotherapeutic agents. Future studies using a larger set of tumor samples might reveal whether or not ALK7 and miR-376c could be used as prognostic markers to predict responsiveness to chemotherapy. The cisplatin-blocking effect of miR-376c is mimicked by siRNA targeting ALK7 and partially rescued by overexpression of ALK7, indicating that miR-376c promotes chemoresistance in part by downregulating ALK7.

Fig. 6.
Fig. 6.

Anti-miR-376c sensitizes cells to cisplatin. (A) OV2008 cells were transfected with different doses of anti-miR-376c or its negative control (anti-NC) for 24 hours and treated with cisplatin (2.5 μM). Cell number was determined 48 hours after cisplatin treatment. Anti-miR-376c further decreases cell numbers. *P<0.05 vs anti-NC (n=3 experiments). (B) Anti-miR-376c abolishes the effect of miR-376c. OV2008 cells were transfected with miR-376c (376c) or its negative control (NC), anti-miR-376c (a376c) or its negative control (aNC), or a combination of 376c and a376c. MicroRNA-376c significantly decreased the effect of cisplatin whereas anti-miR-376c had the opposite effect. *P<0.001 vs the other groups, #P<0.05 vs aNC (n=3 experiments).

Fig. 7.
Fig. 7.

Expression of ALK-7 and miR-376c in serous ovarian carcinoma samples taken from patients who demonstrated a complete (CR) or incomplete-response (IR) to primary chemotherapy. (A–D) ALK7 staining in formalin-fixed and paraffin-embedded tissues. In the CR patient sections (A,C), the brown ALK-7 staining delineates numerous epithelia (A) and is distributed in the cytoplasm (C). In IR patient sections, very weak signals were detected (B,D). Scale bars: 100 μm (A,B), 35 μm (C,D). (E) Relative miR-376c levels in CR (n=7) and IR (n=6) tumor samples. Real-time PCR was performed for miR-376c and U6 and the relative miR-376c level was calculated as the ratio of miR-376c and U6 levels. *P<0.05 vs CR.

Fig. 8.
Fig. 8.

Regulation of NODAL and ALK7 mRNA and miR-376c expression by cisplatin. (A,B) OV2008 cells were treated without or with 2.5 or 5 μM cisplatin for 24 hours and NODAL mRNA (A) and ALK7 mRNA (B) was measured by real-time PCR. *P<0.05 vs untreated control. (C) Time course effect of cisplatin on NODAL mRNA expression. OV2008 cells were treated without or with 5 μM cisplatin for 3–24 hours and NODAL mRNA was measured. *P<0.05 vs untreated controls at each time point. (D) Time-course effect of cisplatin on miR-376c levels. Similar treatment was performed as in C. *P<0.05 vs untreated control at the same time points. All data are means ± s.e.m. of three experiments.

In summary, we have demonstrated that miR-376c targets ALK7 expression to promote proliferation and survival of ovarian cancer cells. We have also provided evidence that the Nodal–ALK7 pathway and miR-376c are involved in cisplatin-induced cell death. Future in vivo studies will further clarify the role of miR-376c in ovarian cancer development and chemoresistance.

Materials and Methods

Cell lines, expression plasmids and transient transfection

Human ovarian cancer cells, OV2008 and A2780s were cultured as described previously (Xu et al., 2004; Xu et al., 2006). Generation of Nodal and ALK7 expression plasmids was also as described (Xu et al., 2004). A cDNA fragment representing nucleotides 87–756 of the human ALK7 3′UTR, which contains the predicted ALK7 targeting site was obtained by RT-PCR and cloned into pMIR-Report (Ambion, Austin, TX) downstream of the luciferase coding sequence. Three mutants, each containing a point mutation or several mutations at the predicted miR-376c binding region, were created by site-directed mutagenesis using a QuikChange Site-Directed Mutagenesis Kit (Stratagene, La Jolla, CA). Transient transfection of plasmids and siRNA or miRNA duplexes was carried out using Lipofectamine 2000 (Invitrogen, Burlington, ON) following the manufacturer's suggested procedure.

miRNAs and siRNAs

The FindTar algorithm (Hua et al., 2006) was first used to predict miRNAs that have potential binding sites at the ALK7 3′UTR. MicroRNA duplexes, non-targeting negative control duplexes, scramble miR-376c negative control, and siRNAs were purchased from GenePharma (Shanghai, China) (supplementary material Table S1). Anti-miR-376c and its negative control were purchased from Ambion (Applied Biosystems, Foster City, CA).

Luciferase reporter assays

Cells were seeded in 12-well plates at a density of 1×105 cells/well and transfected with 0.2 μg pMIR-Report-ALK7 and 0.02 μg pRL-TK internal control (Promega, Madison, WI) plasmids. Twenty-four hours after transfection, luciferase activities were measured using Dual-Luciferase Reporter Assay System (Promega) according to the manufacturer's instructions.

ALK7 antibody production and western blot analysis

Polyclonal antiserum against a peptide (SYRKKKRPNVEEPLSEC) corresponding to amino acids 142–158 of the human ALK7 sequence was synthesized by Alpha Diagnostic (San Antonio, TX) and four New Zealand white rabbits were inoculated for antibody production. The primary injection was performed using antigen mixed with complete Freund adjuvant. The same amount of antigen mixed with incomplete Freund adjuvant was injected for boosts. Following the second boost, the antiserum activities were examined by ELISA. After primary immunization and four additional injections, the antisera from all of the rabbits were screened, and the one with the highest titer was used for western blot detection of ALK7. For western blotting, protein lysates were separated in 12% SDS polyacrylamide gels, transferred to Immobilon PVDF Membranes (Millipore, Toronto, ON), and probed with anti-ALK7 (1:2000 dilution), anti-Myc (1:500, Santa Cruz Biotechnology, Santa Cruz, CA), anti-total or phosphorylated Smad2 (1:1000, Invitrogen Canada, Burlington, ON), or anti-cleaved caspase3 (1:1000, Cell Signaling, Pickering, ON) antibodies. ECL kit (GE, Baie d'Urfe, Quebec) was used for chemiluminescent detection of immobilized proteins. Protein loading was evaluated using mouse anti-β-actin (Sigma, Oakville, ON). In some cases, the intensity of protein fragments was quantified using AlphaEaseFC imaging software.

Cell proliferation and viability assays

Cell proliferation and viability were determined using BrdU and WST-1 assays according to the manufacturer's protocols (Roche, Mississauga, ON). Briefly, cells were seeded on 96-well culture plates at a density of 10,000 cells per well and cultured for 24 hours before transfection. Transfection was performed with 200 nM miR-376C or its negative control and ALK7 siRNAs. Seventy-two hours after transfection, WST-1 or BrdU reagent was added to the cells and absorbance was measured at 450 nm using an ELISA plate reader. The viability and cytotoxicity of cells treated with rhNodal (500 ng/ml, R&D Systems, Minneapolis, MN) were also evaluated with the MultiTox-Fluor Multiplex Cytotoxicity Assay kit (Promega, Madison, WI). Live-cell and dead-cell protease activities were detected at 400Ex/505Em and 485Ex/520Em, respectively. Cell viability was assessed as the ratio of live and dead signals. Manual cell counting using DAPI staining was used to determine the effect of cisplatin. Briefly, cells were fixed with methanol containing 1 μg/ml DAPI. The DAPI stained cells were viewed at 100× magnification under fluorescent microscopy (Nikon Eclipse TE 2000-U). Five randomly selected fields in each sample were pictured, scored and averaged for cell number.

Hanging-drop culture for spheroid formation

SKOV-3 cells were cultured in M199 and MCDB105 (1:1) with 5% FBS. Cells were then transfected with miR-376c, ALK7 siRNA or negative control. At 24 hours after transfection, cells were trypsinized and resuspended in the same culture medium. Hanging-drop culture was performed using a method described for ovarian cancer cells (Zietarska et al., 2007) with slight modifications. Briefly, 15 μl droplets, each containing 10,000 cells, were plated on the inner surface of a Petri dish cover. Approximately 20 droplets from control and miRNA or siRNA transfected group were plated into one cover. The covers were then inverted and placed on a dish containing 15 ml PBS. After 4 days of culture, spheroids were photographed and their sizes were measured using the ImageJ software,

Generation of inducible Nodal-expressing stable cell line

An inducible stable cell line expressing Nodal containing a Myc tag was generated using the Tet-off advanced inducible gene expression system (Clontech, Mountain View, CA). OV2008 cells were first transfected with the pTet-off-advanced plasmid, and G418-resistant clones were selected. A luciferase reporter plasmid was used to screen clones that had low background and high doxycycline-dependent induction. These clones were then transfected with pTRE-Tight-Nodal and stable clones were selected with hygromycin. Cells were cultured in doxycycline-containing medium and at various time points following doxycycline withdrawal, RT-PCR and western blot analysis were performed to confirm induction of Nodal expression. A forward primer corresponding to the vector sequence and a Nodal specific reverse primer were used to detect transgene expression. Exogenous Nodal was detected using an anti-Myc antibody.

TUNEL assays

The inducible stable cell line expressing Nodal was seeded on 96-well plates at a density of 10,000 cells per well and cultured overnight. Doxycycline was then removed from the medium to induce Nodal expression. At 24 hours following the withdrawal of doxycycline, cells were transfected with 200 nM negative control, miR-376c or ALK7 and NODAL siRNAs. At 48 hours after transfection, apoptosis was determined by TUNEL method using the TMR Red kit (Roche, Mississauga, ON) according to the manufacturer's suggested protocol. Briefly, cells were rinsed with PBS, fixed in 4% paraformaldehyde and permeabilized with 0.1% Triton X-100. They were then incubated in TUNEL reaction mixture at 37°C for 60 minutes in the dark. After three rinses with PBS, the samples were analyzed under a fluorescence microscope (NIKON ECLIPSE TE 2000-U) using an excitation wavelength of 540 nm and emission wavelength of 580 nm. Ten randomly selected fields in each sample were pictured, scored and averaged for cell numbers.

Treatment with cisplatin and carboplatin

Cells cultured in 24-well or 96-well plates were transiently transfected with negative controls, siRNA, miR-376c or anti-miR-376c as indicated in each experiment for 5 hours. Cells were then treated with different concentrations of cisplatin or carboplatin for 48 hours. At the end of the experiments, the number of live cells was determined by DAPI staining and manual cell counting or WST-1 assays. Dose-response curves were fitted and IC50 values were calculated using the Graphpad Prism program.

Tumor samples

Human ovarian tumor samples were obtained from patients undergoing primary excision surgery at the Hospital of Obstetrics and Gynecology, Dalian, China, who then received platinum-based primary chemotherapy. The use of tumor samples was approved by the ethics committee at the hospital and all patients provided informed consent. Stage III serous carcinoma samples were selected from patients who had a complete response (CR) or incomplete response (IR) to chemotherapy. A CR was defined as a complete disappearance of all measurable and assessable disease or a normalization of the serum CA-125 level (< 30 U/ml) after chemotherapy. Patients were considered to have an IR if they demonstrated only a partial response, progressive disease during primary therapy and a higher level of the serum CA-125 (> 30 U/ml) after 6 months of chemotherapy. Seven CR and six IR samples were used in the immunohistochemistry staining to detect ALK7 expression and real-time PCR to determine miR-376c levels.

Immunohistochemistry

The paraffin-embedded tumor samples were incubated in primary antibody (anti-ALK7; 1:100 dilution) at 4°C overnight. After washing three times in PBS for 1 hour, the samples were incubated with the secondary biotin-related anti-rabbit antibody for 1 hour (ZSGB-BIO, China). The tissue sections were then incubated in ABC solution (Vectastain Kit) and further developed with DAB (ZSGB-BIO) color staining. Finally, the samples were counterstained with hematoxylin, dehydrated, mounted and photographed.

RNA extraction and real-time PCR

Trizol reagent (Invitrogen) was used to extract total RNA, including miRNAs, from culture cells following published protocols (Davis et al., 2008; Martello et al., 2007) with slight modifications. Specifically, one volume of isopropyl alcohol was added to the extracted aqueous phase and precipitation of RNA was carried out at −20°C overnight to enrich the small RNA population (Lin et al., 2009). RecoverAll™ Total Nucleic Acid Isolation Kit (Ambion) was used to extract total RNA from paraffin-embedded ovarian tumor sections. Briefly, up to four 20 μm sections were deparaffinized using a series of xylene and ethanol washes. The tissue pellets were subjected to a protease digestion at 60°C for 2 hours. Nucleic acids were isolated by rapidly passing the mixture through a filter cartridge provided. Following removal of DNA by DNase digestion, RNA was eluted into nuclease-free water. One microgram of total RNA was polyadenylated and then reverse-transcribed using the QuantiMir RT Kit (System Biosciences). Forward primers specific for mature microRNAs (supplementary material Table S1) were used to detect the corresponding microRNA transcripts in real-time PCR using SYBR Green and Chromo4™ Real-time detection system (BioRad). The miR-376c expression levels were normalized to U6 snRNA transcript levels. For quantification of Nodal and ALK7 mRNA levels, cDNA was synthesized from 2.5 μg total RNA using oligo(T)23VN primer (Sigma). Quantitative RT-PCR was carried out using gene specific primers for Nodal and ALK7 (Table S1) and SYBR® Green Master Mix (Bio-Rad). The PCRs were carried out at 95°C for 4 minutes followed by 40 cycles of 20 seconds at 95°C, 30 seconds at 60°C and 45 seconds at 72°C. Expression levels of glyceraldehyde-3-phosphate dehydrogenase (GAPDH) were also determined and used as endogenous controls to normalize the expression levels of mRNA.

Statistical analysis

Unless indicated otherwise, data were converted to fold of control value, combined from several experiments and expressed as means ± s.e.m. Statistical significance was determined using one-way analysis of variance and Student–Newman–Keuls test for multiple group comparisons. Student's t-test was used for comparison between two groups. Statistical significance was defined as P<0.05.

Acknowledgements

G.Y. was supported in part by a fellowship from the Toronto Ovarian Cancer Network with funds raised by the Toronto Fashion Show and S.Z. was supported by a visiting scholarship from Hebei Province Government. C.P. is a recipient of a Mid-Career Award from OWHC/CIHR and B.B.Y. is a recipient of a Career Investigator Award (CI 5958) from the Heart and Stroke Foundation of Ontario. This work was supported by a CIHR grant (MOP-89931) to C.P.

Footnotes

  • Accepted September 23, 2010.

References

  1. ↵
    1. Ambs, S.,
    2. Prueitt, R. L.,
    3. Yi, M.,
    4. Hudson, R. S.,
    5. Howe, T. M.,
    6. Petrocca, F.,
    7. Wallace, T. A.,
    8. Liu, C. G.,
    9. Volinia, S.,
    10. Calin, G. A.,
    11. et al
    . (2008). Genomic profiling of microRNA and messenger RNA reveals deregulated microRNA expression in prostate cancer. Cancer Res. 68, 6162-6170.
    OpenUrlAbstract/FREE Full Text
  2. ↵
    1. Aqeilan, R. I.,
    2. Calin, G. A. and
    3. Croce, C. M.
    (2009). miR-15a and miR-16-1 in cancer: discovery, function and future perspectives. Cell Death Differ. 17, 215-220.
    OpenUrlCrossRefPubMed
  3. ↵
    1. Asselin, E.,
    2. Mills, G. B. and
    3. Tsang, B. K.
    (2001). XIAP regulates Akt activity and caspase-3-dependent cleavage during cisplatin-induced apoptosis in human ovarian epithelial cancer cells. Cancer Res. 61, 1862-1868.
    OpenUrlAbstract/FREE Full Text
  4. ↵
    1. Attisano, L. and
    2. Wrana, J. L.
    (2002). Signal transduction by the TGF-beta superfamily. Science 296, 1646-1647.
    OpenUrlAbstract/FREE Full Text
  5. ↵
    1. Boren, T.,
    2. Xiong, Y.,
    3. Hakam, A.,
    4. Wenham, R.,
    5. Apte, S.,
    6. Chan, G.,
    7. Kamath, S. G.,
    8. Chen, D. T.,
    9. Dressman, H. and
    10. Lancaster, J. M.
    (2009). MicroRNAs and their target messenger RNAs associated with ovarian cancer response to chemotherapy. Gynecol. Oncol. 113, 249-255.
    OpenUrlCrossRefPubMedWeb of Science
  6. ↵
    1. Chekulaeva, M. and
    2. Filipowicz, W.
    (2009). Mechanisms of miRNA-mediated post-transcriptional regulation in animal cells. Curr. Opin. Cell Biol. 21, 452-460.
    OpenUrlCrossRefPubMedWeb of Science
  7. ↵
    1. Chendrimada, T. P.,
    2. Gregory, R. I.,
    3. Kumaraswamy, E.,
    4. Norman, J.,
    5. Cooch, N.,
    6. Nishikura, K. and
    7. Shiekhattar, R.
    (2005). TRBP recruits the Dicer complex to Ago2 for microRNA processing and gene silencing. Nature 436, 740-744.
    OpenUrlCrossRefPubMedWeb of Science
  8. ↵
    1. Dahiya, N.,
    2. Sherman-Baust, C. A.,
    3. Wang, T. L.,
    4. Davidson, B.,
    5. Shih Ie, M.,
    6. Zhang, Y.,
    7. Wood, W. 3rd.,
    8. Becker, K. G. and
    9. Morin, P. J.
    (2008). MicroRNA expression and identification of putative miRNA targets in ovarian cancer. PLoS ONE 3, e2436.
    OpenUrlCrossRefPubMed
  9. ↵
    1. Davis, B. N.,
    2. Hilyard, A. C.,
    3. Lagna, G. and
    4. Hata, A.
    (2008). SMAD proteins control DROSHA-mediated microRNA maturation. Nature 454, 56-61.
    OpenUrlCrossRefPubMedWeb of Science
  10. ↵
    1. Derynck, R. and
    2. Zhang, Y. E.
    (2003). Smad-dependent and Smad-independent pathways in TGF-beta family signalling. Nature 425, 577-584.
    OpenUrlCrossRefPubMedWeb of Science
  11. ↵
    1. Dixon-McIver, A.,
    2. East, P.,
    3. Mein, C. A.,
    4. Cazier, J. B.,
    5. Molloy, G.,
    6. Chaplin, T.,
    7. Andrew Lister, T.,
    8. Young, B. D. and
    9. Debernardi, S.
    (2008). Distinctive patterns of microRNA expression associated with karyotype in acute myeloid leukaemia. PLoS ONE 3, e2141.
    OpenUrlCrossRefPubMed
  12. ↵
    1. Fraser, M.,
    2. Bai, T. and
    3. Tsang, B. K.
    (2008). Akt promotes cisplatin resistance in human ovarian cancer cells through inhibition of p53 phosphorylation and nuclear function. Int. J. Cancer 122, 534-546.
    OpenUrlCrossRefPubMedWeb of Science
  13. ↵
    1. Gordon, K. J. and
    2. Blobe, G. C.
    (2008). Role of transforming growth factor-beta superfamily signaling pathways in human disease. Biochim. Biophys. Acta 1782, 197-228.
    OpenUrlCrossRefPubMedWeb of Science
  14. ↵
    1. Hebert, C.,
    2. Norris, K.,
    3. Scheper, M. A.,
    4. Nikitakis, N. and
    5. Sauk, J. J.
    (2007). High mobility group A2 is a target for miRNA-98 in head and neck squamous cell carcinoma. Mol. Cancer 6, 5.
    OpenUrlCrossRefPubMed
  15. ↵
    1. Hua, Z.,
    2. Lv, Q.,
    3. Ye, W.,
    4. Wong, C. K.,
    5. Cai, G.,
    6. Gu, D.,
    7. Ji, Y.,
    8. Zhao, C.,
    9. Wang, J.,
    10. Yang, B. B.,
    11. et al
    . (2006). MiRNA-directed regulation of VEGF and other angiogenic factors under hypoxia. PLoS ONE 1, e116.
    OpenUrlCrossRefPubMed
  16. ↵
    1. Hutvagner, G. and
    2. Zamore, P. D.
    (2002). A microRNA in a multiple-turnover RNAi enzyme complex. Science 297, 2056-2060.
    OpenUrlAbstract/FREE Full Text
  17. ↵
    1. Johnston, R. J. and
    2. Hobert, O.
    (2003). A microRNA controlling left/right neuronal asymmetry in Caenorhabditis elegans. Nature 426, 845-849.
    OpenUrlCrossRefPubMedWeb of Science
  18. ↵
    1. Jung, M.,
    2. Mollenkopf, H. J.,
    3. Grimm, C.,
    4. Wagner, I.,
    5. Albrecht, M.,
    6. Waller, T.,
    7. Pilarsky, C.,
    8. Johannsen, M.,
    9. Stephan, C.,
    10. Lehrach, H.,
    11. et al
    . (2009). MicroRNA profiling of clear cell renal cell cancer identifies a robust signature to define renal malignancy. J. Cell. Mol. Med. 13, 3918-3928.
    OpenUrlCrossRefPubMedWeb of Science
  19. ↵
    1. Kawahara, Y.,
    2. Zinshteyn, B.,
    3. Sethupathy, P.,
    4. Iizasa, H.,
    5. Hatzigeorgiou, A. G. and
    6. Nishikura, K.
    (2007). Redirection of silencing targets by adenosine-to-inosine editing of miRNAs. Science 315, 1137-1140.
    OpenUrlAbstract/FREE Full Text
  20. ↵
    1. Kumaran, G. C.,
    2. Jayson, G. C. and
    3. Clamp, A. R.
    (2009). Antiangiogenic drugs in ovarian cancer. Br. J. Cancer 100, 1-7.
    OpenUrlCrossRefPubMedWeb of Science
  21. ↵
    1. Li, Z.,
    2. Lu, J.,
    3. Sun, M.,
    4. Mi, S.,
    5. Zhang, H.,
    6. Luo, R. T.,
    7. Chen, P.,
    8. Wang, Y.,
    9. Yan, M.,
    10. Qian, Z.,
    11. et al
    . (2008). Distinct microRNA expression profiles in acute myeloid leukemia with common translocations. Proc. Natl. Acad. Sci. USA 105, 15535-15540.
    OpenUrlAbstract/FREE Full Text
  22. ↵
    1. Lim, L. P.,
    2. Glasner, M. E.,
    3. Yekta, S.,
    4. Burge, C. B. and
    5. Bartel, D. P.
    (2003). Vertebrate microRNA genes. Science 299, 1540.
    OpenUrlFREE Full Text
  23. ↵
    1. Lin, E. A.,
    2. Kong, L.,
    3. Bai, X. H.,
    4. Luan, Y. and
    5. Liu, C. J.
    (2009). miR-199a, a bone morphogenic protein 2-responsive MicroRNA, regulates chondrogenesis via direct targeting to Smad1. J. Biol. Chem. 284, 11326-11335.
    OpenUrlAbstract/FREE Full Text
  24. ↵
    1. Lund, E.,
    2. Guttinger, S.,
    3. Calado, A.,
    4. Dahlberg, J. E. and
    5. Kutay, U.
    (2004). Nuclear export of microRNA precursors. Science 303, 95-98.
    OpenUrlAbstract/FREE Full Text
  25. ↵
    1. Manikandan, J.,
    2. Aarthi, J. J.,
    3. Kumar, S. D. and
    4. Pushparaj, P. N.
    (2008). Oncomirs: The potential role of non-coding microRNAs in understanding cancer. Bioinformation 2, 330-334.
    OpenUrlCrossRefPubMed
  26. ↵
    1. Martello, G.,
    2. Zacchigna, L.,
    3. Inui, M.,
    4. Montagner, M.,
    5. Adorno, M.,
    6. Mamidi, A.,
    7. Morsut, L.,
    8. Soligo, S.,
    9. Tran, U.,
    10. Dupont, S.,
    11. et al
    . (2007). MicroRNA control of Nodal signalling. Nature 449, 183-188.
    OpenUrlCrossRefPubMed
  27. ↵
    1. Moriyama, T.,
    2. Ohuchida, K.,
    3. Mizumoto, K.,
    4. Yu, J.,
    5. Sato, N.,
    6. Nabae, T.,
    7. Takahata, S.,
    8. Toma, H.,
    9. Nagai, E. and
    10. Tanaka, M.
    (2009). MicroRNA-21 modulates biological functions of pancreatic cancer cells including their proliferation, invasion, and chemoresistance. Mol. Cancer Ther. 8, 1067-1074.
    OpenUrlAbstract/FREE Full Text
  28. ↵
    1. Munir, S.,
    2. Xu, G.,
    3. Wu, Y.,
    4. Yang, B.,
    5. Lala, P. K. and
    6. Peng, C.
    (2004). Nodal and ALK7 inhibit proliferation and induce apoptosis in human trophoblast cells. J. Biol. Chem. 279, 31277-31286.
    OpenUrlAbstract/FREE Full Text
  29. ↵
    1. Packer, A. N.,
    2. Xing, Y.,
    3. Harper, S. Q.,
    4. Jones, L. and
    5. Davidson, B. L.
    (2008). The bifunctional microRNA miR-9/miR-9* regulates REST and CoREST and is downregulated in Huntington's disease. J. Neurosci. 28, 14341-14346.
    OpenUrlAbstract/FREE Full Text
  30. ↵
    1. Permuth-Wey, J. and
    2. Sellers, T. A.
    (2009). Epidemiology of ovarian cancer. Methods Mol. Biol. 472, 413-437.
    OpenUrlCrossRefPubMed
  31. ↵
    1. Pieretti-Vanmarcke, R.,
    2. Donahoe, P. K.,
    3. Pearsall, L. A.,
    4. Dinulescu, D. M.,
    5. Connolly, D. C.,
    6. Halpern, E. F.,
    7. Seiden, M. V. and
    8. MacLaughlin, D. T.
    (2006). Mullerian Inhibiting Substance enhances subclinical doses of chemotherapeutic agents to inhibit human and mouse ovarian cancer. Proc. Natl. Acad. Sci. USA 103, 17426-17431.
    OpenUrlAbstract/FREE Full Text
  32. ↵
    1. Sasaki, H.,
    2. Sheng, Y.,
    3. Kotsuji, F. and
    4. Tsang, B. K.
    (2000). Down-regulation of X-linked inhibitor of apoptosis protein induces apoptosis in chemoresistant human ovarian cancer cells. Cancer Res. 60, 5659-5666.
    OpenUrlAbstract/FREE Full Text
  33. ↵
    1. Seitz, H.,
    2. Youngson, N.,
    3. Lin, S. P.,
    4. Dalbert, S.,
    5. Paulsen, M.,
    6. Bachellerie, J. P.,
    7. Ferguson-Smith, A. C. and
    8. Cavaille, J.
    (2003). Imprinted microRNA genes transcribed antisense to a reciprocally imprinted retrotransposon-like gene. Nat. Genet. 34, 261-262.
    OpenUrlCrossRefPubMedWeb of Science
  34. ↵
    1. Seitz, H.,
    2. Royo, H.,
    3. Bortolin, M. L.,
    4. Lin, S. P.,
    5. Ferguson-Smith, A. C. and
    6. Cavaille, J.
    (2004). A large imprinted microRNA gene cluster at the mouse Dlk1-Gtl2 domain. Genome Res. 14, 1741-1748.
    OpenUrlAbstract/FREE Full Text
  35. ↵
    1. Selcuklu, S. D.,
    2. Yakicier, M. C. and
    3. Erson, A. E.
    (2009). An investigation of microRNAs mapping to breast cancer related genomic gain and loss regions. Cancer Genet. Cytogenet. 189, 15-23.
    OpenUrlCrossRefPubMed
  36. ↵
    1. Sokol, N. S. and
    2. Ambros, V.
    (2005). Mesodermally expressed Drosophila microRNA-1 is regulated by Twist and is required in muscles during larval growth. Genes Dev. 19, 2343-2354.
    OpenUrlAbstract/FREE Full Text
  37. ↵
    1. Stoika, R.,
    2. Yakymovych, M.,
    3. Souchelnytskyi, S. and
    4. Yakymovych, I.
    (2003). Potential role of transforming growth factor beta1 in drug resistance of tumor cells. Acta Biochim. Pol. 50, 497-508.
    OpenUrlPubMedWeb of Science
  38. ↵
    1. Stoika, R. S.,
    2. Yakymovych, I. A.,
    3. Kashchak, N. I.,
    4. Boyko, M. M.,
    5. Korynevska, A. V.,
    6. Klyuchyvska, O. Y.,
    7. Shafranska, G. I.,
    8. Yakymovych, M. Y.,
    9. Zhylchuk, V. Y.,
    10. Kudryavets, Y. Y.,
    11. et al
    . (2008). Effect of anticancer drugs on production of transforming growth factor and expression of p53 AND Bcl-2 proteins by MCF-7 and T47D cell lines of human breast carcinoma. Exp. Oncol. 30, 35-41.
    OpenUrlPubMed
  39. ↵
    1. Taylor, D. D. and
    2. Gercel-Taylor, C.
    (2008). MicroRNA signatures of tumor-derived exosomes as diagnostic biomarkers of ovarian cancer. Gynecol. Oncol. 110, 13-21.
    OpenUrlCrossRefPubMedWeb of Science
  40. ↵
    1. Thavaraj, S.,
    2. Paterson, I. C.,
    3. Hague, A. and
    4. Prime, S. S.
    (2005). Over-expression of TGF-beta1 in Smad4-deficient human oral carcinoma cells causes tumour regression in vivo by mechanisms that sensitize cells to apoptosis. J. Pathol. 205, 14-20.
    OpenUrlCrossRefPubMed
  41. ↵
    1. Ventura, A. and
    2. Jacks, T.
    (2009). MicroRNAs and cancer: short RNAs go a long way. Cell 136, 586-591.
    OpenUrlCrossRefPubMedWeb of Science
  42. ↵
    1. Wang, C. H.,
    2. Lee, D. Y.,
    3. Deng, Z.,
    4. Jeyapalan, Z.,
    5. Lee, S. C.,
    6. Kahai, S.,
    7. Lu, W. Y.,
    8. Zhang, Y. and
    9. Yang, B. B.
    (2008). MicroRNA miR-328 regulates zonation morphogenesis by targeting CD44 expression. PLoS ONE 3, e2420.
    OpenUrlCrossRefPubMed
  43. ↵
    1. Wang, H.,
    2. Jiang, J. Y.,
    3. Zhu, C.,
    4. Peng, C. and
    5. Tsang, B. K.
    (2006). Role and regulation of nodal/activin receptor-like kinase 7 signaling pathway in the control of ovarian follicular atresia. Mol. Endocrinol. 20, 2469-2482.
    OpenUrlCrossRefPubMedWeb of Science
  44. ↵
    1. Wienholds, E.,
    2. Kloosterman, W. P.,
    3. Miska, E.,
    4. Alvarez-Saavedra, E.,
    5. Berezikov, E.,
    6. de Bruijn, E.,
    7. Horvitz, H. R.,
    8. Kauppinen, S. and
    9. Plasterk, R. H.
    (2005). MicroRNA expression in zebrafish embryonic development. Science 309, 310-311.
    OpenUrlAbstract/FREE Full Text
  45. ↵
    1. Williams, T. I.,
    2. Toups, K. L.,
    3. Saggese, D. A.,
    4. Kalli, K. R.,
    5. Cliby, W. A. and
    6. Muddiman, D. C.
    (2007). Epithelial ovarian cancer: disease etiology, treatment, detection, and investigational gene, metabolite, and protein biomarkers. J. Proteome Res. 6, 2936-2962.
    OpenUrlCrossRefPubMed
  46. ↵
    1. Xia, L.,
    2. Zhang, D.,
    3. Du, R.,
    4. Pan, Y.,
    5. Zhao, L.,
    6. Sun, S.,
    7. Hong, L.,
    8. Liu, J. and
    9. Fan, D.
    (2008). miR-15b and miR-16 modulate multidrug resistance by targeting BCL2 in human gastric cancer cells. Int. J. Cancer 123, 372-379.
    OpenUrlCrossRefPubMedWeb of Science
  47. ↵
    1. Xu, G.,
    2. Zhong, Y.,
    3. Munir, S.,
    4. Yang, B. B.,
    5. Tsang, B. K. and
    6. Peng, C.
    (2004). Nodal induces apoptosis and inhibits proliferation in human epithelial ovarian cancer cells via activin receptor-like kinase 7. J. Clin. Endocrinol. Metab. 89, 5523-5534.
    OpenUrlCrossRefPubMedWeb of Science
  48. ↵
    1. Xu, G.,
    2. Zhou, H.,
    3. Wang, Q.,
    4. Auersperg, N. and
    5. Peng, C.
    (2006). Activin receptor-like kinase 7 induces apoptosis through up-regulation of Bax and down-regulation of Xiap in normal and malignant ovarian epithelial cell lines. Mol. Cancer Res. 4, 235-246.
    OpenUrlAbstract/FREE Full Text
  49. ↵
    1. Yang, X.,
    2. Fraser, M.,
    3. Moll, U. M.,
    4. Basak, A. and
    5. Tsang, B. K.
    (2006). Akt-mediated cisplatin resistance in ovarian cancer: modulation of p53 action on caspase-dependent mitochondrial death pathway. Cancer Res. 66, 3126-3136.
    OpenUrlAbstract/FREE Full Text
  50. ↵
    1. Zhang, L.,
    2. Huang, J.,
    3. Yang, N.,
    4. Greshock, J.,
    5. Megraw, M. S.,
    6. Giannakakis, A.,
    7. Liang, S.,
    8. Naylor, T. L.,
    9. Barchetti, A.,
    10. Ward, M. R.,
    11. et al
    . (2006a). microRNAs exhibit high frequency genomic alterations in human cancer. Proc. Natl. Acad. Sci. USA 103, 9136-9141.
    OpenUrlAbstract/FREE Full Text
  51. ↵
    1. Zhang, N.,
    2. Kumar, M.,
    3. Xu, G.,
    4. Ju, W.,
    5. Yoon, T.,
    6. Xu, E.,
    7. Huang, X.,
    8. Gaisano, H.,
    9. Peng, C. and
    10. Wang, Q.
    (2006b). Activin receptor-like kinase 7 induces apoptosis of pancreatic beta cells and beta cell lines. Diabetologia 49, 506-518.
    OpenUrlCrossRefPubMed
  52. ↵
    1. Zhao, Y.,
    2. Samal, E. and
    3. Srivastava, D.
    (2005). Serum response factor regulates a muscle-specific microRNA that targets Hand2 during cardiogenesis. Nature 436, 214-220.
    OpenUrlCrossRefPubMedWeb of Science
  53. ↵
    1. Zietarska, M.,
    2. Maugard, C. M.,
    3. Filali-Mouhim, A.,
    4. Alam-Fahmy, M.,
    5. Tonin, P. N.,
    6. Provencher, D. M. and
    7. Mes-Masson, A. M.
    (2007). Molecular description of a 3D in vitro model for the study of epithelial ovarian cancer (EOC). Mol. Carcinog. 46, 872-885.
    OpenUrlCrossRefPubMedWeb of Science
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MicroRNA 376c enhances ovarian cancer cell survival by targeting activin receptor-like kinase 7: implications for chemoresistance
Gang Ye, Guodong Fu, Shiying Cui, Sufen Zhao, Stefanie Bernaudo, Yin Bai, Yanfang Ding, Yaou Zhang, Burton B. Yang, Chun Peng
J Cell Sci 2011 124: 359-368; doi: 10.1242/jcs.072223
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Opinion – The triple helix of collagens

In a new Opinion article, Billy G. Hudson and colleagues argue that the triple helix is an ancient protein structure of fundamental importance in building the extracellular matrix that enabled animal multicellularity and tissue evolution.

JCS Meeting – Cell dynamics: organelle-cytoskeleton interface

The second in our series of cell dynamics meetings now turns to organelles. This May 2019 meeting in Lisbon, Portugal, aims to bring together scientists studying the interface between organelles and the cytoskeleton at different scales and perspectives using a range of model systems. Find out more and register your interest here.

Review – Dynamics of cortical domains in early Drosophila development

Cortical domains are a central feature of epithelial and polarised cells. Anja Schmidt and Jörg Grosshans present a Review of the dynamics of cortical domains in early Drosophila embryos and discuss underlying mechanisms for formation of cortical domains.

Cell scientist to watch – 2018 Hooke medal winner Andrew McAinsh

“…identify an interesting, good scientific question and try to answer it.”

Andrew McAinsh, Head of Division of Biomedical Sciences at Warwick Medical School, is interested in understanding how the chromosomal multi-protein complex, the kinetochore, ensures error-free chromosome segregation. He is the recipient of the 2018 Hooke medal, established to recognize an emerging leader in cell biology.

We also feature interviews with first authors of a selection of papers published in Journal of Cell Science, helping early-career researchers promote themselves alongside their papers. Check out our recent First Person interviews with Thibault Courtheoux and Alghassimou Diallo, Francesco Consolato and Emily Herman.

Articles of interest in our sister journals

Head formation requires Dishevelled degradation that is mediated by March2 in concert with Dapper1
Hyeyoon Lee, Seong-Moon Cheong, Wonhee Han, Youngmu Koo, Saet-Byeol Jo, Gun-Sik Cho, Jae-Seong Yang, Sanguk Kim, Jin-Kwan Han. Development 2018 145: dev143107

PUF-8 facilitates homologous chromosome pairing by promoting proteasome activity during meiotic entry in C. elegans
Ganga Anil Kumar, Kuppuswamy Subramaniam. Development 2018 145: dev163949