Abstract
BHLHE40 and BHLHE41 (BHLHE40/41) are basic helix-loop-helix type transcription factors involved in multiple cell activities including epithelial-to-mesenchymal transition (EMT). However, the expression mechanism of BHLHE40/41 in EMT remains unclear. In the present study, we showed that the expression levels of BHLHE40/41 were negatively correlated with those of the microRNA (MIR) 130 family in endometrial cancer (EC) specimens. Our in vitro assays indicated that the expression of BHLHE40/41 was suppressed directly by the MIR130 family in a 3’-untranslated region-mediated manner. In EC cells, the MIR130 family promoted EMT and tumor cell invasion by suppressing the expression of BHLHE40/41. We identified the critical promoter region of the MIR301B-MIR130B cluster for its basal transcription by the transcription factor, SP1. We also found that BHLHE40/41 suppressed the expression of MIR301B and MIR130B, and we identified a binding site in the promoter region for BHLHE40/41. This study is the first to report that BHLHE40/41 and the MIR301B-MIR130B cluster suppressed each other to regulate EMT and invasion of EC cells. We propose that BHLHE40/41 and the MIR130 family are excellent markers to predict the progression of EC cases, and that molecular therapy targeting the MIR130 family-BHLHE40/41 axis may effectively control EC extension.
Keywords: microRNA, transcription factor, epithelial-to-mesenchymal transition, cell invasion, endometrial cancer
INTRODUCTION
Basic helix-loop-helix family member e40 (BHLHE40) and BHLHE41 (BHLHE40/41) are two closely related subfamily members of the basic helix-loop-helix (bHLH) type transcription factors exhibiting more than 90% similarity in the bHLH region, and approximately 40% in total. BHLHE40/41 have been shown to suppress the transcription of their target genes by interacting with GTF2B or TBP, or by recruiting a histone deacetylase at the class B E-box element of the target genes [1–5].
There is increasing evidence showing that BHLHE40/41 play critical roles in cancer development. Tumor suppression by BHLHE40 and/or BHLHE41 has been reported to be mediated by the regulation of cyclins, senescence, epithelial-to-mesenchymal transition (EMT), hypoxia-inducible factors, MAPK1, RELA, or NOTCH1 [6–12]. Several studies, including ours, indicated an inverse correlation between BHLHE40/41 expression levels and clinical stages of EC [8, 12–14]. Furthermore, suppression of EMT by BHLHE40/41 was suggested to be involved in the mechanism [8, 12].
Circadian rhythm factors, hypoxia, numerous growth factors, hormones and cytokines are known to upregulate the expression of BHLHE40/41 [15–17]. However, with regard to the suppression of BHLHE40/41 expression, only a few mechanisms have been reported. Mutual suppression of expression between BHLHE40 and BHLH41 is known [1, 2]. In general, DNA methylation is a well-known mechanism in the suppression of tumor suppressive genes in cancer. However, there are no reports on notable correlations between DNA methylation of BHLHE40 and cancer [18–20]. A microRNA (miRNA) pathway is another mechanism to regulate gene expression. miRNAs are endogenous small non-coding RNAs of 21–25 nucleotides in length, which regulate the expression of their target genes by mRNA degradation or translational inhibition [21]. Only a few studies reported the expression of BHLHE40 and BHLHE41 was regulated by miRNAs [22–24].
The MIR130 family contains MIR130A, MIR130B, MIR301A, MIR301B, and MIR454, which share a common seed sequence and can target a common sequence. Global expression analysis of the miRNA profile in EC revealed that the MIR130 family is among the upregulated miRNAs in EC compared with normal endometrium [25–27]. In particular, the expression of a MIR130 family member, MIR301B was further upregulated in tissues at clinical stages more than IB compared with those at stage IA [26]. The MIR130 family was also identified among the pan-cancer oncogenic miRNA superfamily [25]. In addition to them, upregulation of the MIR130 family in the process of cancer development has been reported in a variety of cancer types [28–31]. However there are only a few reports on the regulation mechanisms of the MIR130 family in cancer [31–33]. The MIR130 family is known to enhance cell invasion in various types of cancer including EC [28–30, 34, 35]. As onco-miRNAs, MIR130 family members have been reported to target multiple molecules including PPARG, PTEN and TP63 [29, 30, 33–39]. Among the MIR130 family, MIR301B and MIR130B locate close to each other as a cluster, and their expression levels are suggested to be regulated simultaneously [31].
In the present study, we investigated a novel regulatory mechanism of BHLHE40/41 and MIR130 family expression in EMT of EC cells.
RESULTS
Expression pattern of BHLHE40, BHLHE41 and MIR130 family in EC
In order to study the impact of BHLHE40/41 expression in EC, we first examined their expression levels in EC specimens. Sixty-one cases of surgically removed specimens from primary cancer sites were used for mRNA assays. To determine the correlation between BHLHE40/41 expression and the invasion capacity of cancer, the cases at stage IA were compared with those at or more than stage IB. EC at stage IA indicates cases with no or less than 50% invasion into the adjacent myometrium, and EC at or more than stage IB indicates cases showing more extension into the adjacent uterus, dissemination and/or metastasis. Although there was only a modest difference in the mRNA levels of BHLHE40, the mRNA levels of BHLHE41 were significantly higher in cases at the early stage (stage IA) than in those at advanced stages (at or more than stage IB) (Figure 1A and 1B). A positive correlation was observed between BHLHE40 and BHLHE41 mRNA levels (Figure 1C).
BHLHE40/41 protein levels in the EC specimens were also analyzed by immunohistochemistry. Representative samples shown were positive for BHLHE40/41 (Figure 1D–1G), whereas others were negative (Figure 1H–1K). In contrast to the results obtained from the mRNA assay, BHLHE40/41 staining levels were both higher in cases at the early stage than in those at advanced stages (Figure 1L and 1M). A positive correlation was detected between BHLHE40 and BHLHE41 staining levels (Figure 1N).
The results above suggested that the expression of BHLHE40 and BHLHE41 was regulated by a common mechanism. Then we focused on miRNA-based regulation. Searches for candidate miRNAs targeting both BHLHE40 and BHLHE41 using online prediction algorithms, TargetScan [40], miRDB [41] and TarBase [42], identified the MIR130 family. A reporter assay in HHUA cells using the 3’-UTRs of BHLHE40 and BHLHE41 co-transfected with a mimic of MIR301B, a member of the MIR130 family, showed the suppression of reporter activity (Figure 2A and 2B). Introduction of mutations at candidate targeting sites of the MIR130 family abrogated the suppression (Supplementary Table 1; Figure 2A and 2B). Furthermore, a miRNA pulldown assay showed MIR301B directly associated with mRNA of BHLHE40 and BHLHE41 (Figure 2C–2F). These data suggested that MIR301B directly regulates the expression of BHLHE40/41.
The expression of the MIR130 family was examined in EC samples, which were also used for BHLHE40/41 expression assay. We used TaqMan miRNA assays to detect only mature miRNAs. The expression levels of MIR301A and MIR301B were higher in advanced cases than early cases (Figure 2G; Supplementary Figure 1A–1D). Correlation analysis was performed between the expression levels of MIR130 family members and mRNA and protein levels of BHLHE40/41. There were remarkable correlations observed in several combinations of MIR130 family members and BHLHE40/41, except where these involved MIR454 (Figure 2H–2K; Supplementary Figure 1E–1T). Then MIR454 was excluded from the in vitro study thereafter. In particular, there were remarkable correlations in the expression levels between MIR310B and BHLHE40/41 (Figure 2H–2K).
Forced expression of the MIR130 family in EC cells suppressed the expression of BHLHE40/41 and enhanced cell invasion
We first used an EC cell line, HHUA cells, to study the impact of the MIR130 family because HHUA cells are the only EC cell line that abundantly expressed both BHLHE40 and BHLHE41 (Supplementary Figure 2A–2C). Expression of the MIR130 family was also examined in a series of EC cell lines (Supplementary Figure 2D–2G). However there were no correlations between the expression levels of miRNA and BHLHE40/41 (Supplementary Figure 2A–2G). To enforce the expression of MIR130 family members in EC cells, mimics of the microRNA were transfected into HHUA cells. Effective expression of MIR130A, MIR130B, MIR301B and MIR310B was obtained by their mimics transfection (Supplementary Figure 2H). Protein expression of both BHLHE40 and BHLHE41 was suppressed by every mimic of the MIR130 family (Figure 3A; Supplementary Figure 2I and 2J). mRNA expression of BHLHE40 was enhanced by the mimics (Figure 3B). In contrast, the mRNA level of BHLHE41 was suppressed by the mimics (Figure 3C). The forced expression of every MIR130 family member enhanced in vitro cell invasion through Matrigel-coated membrane (Figure 3D).
Next, we focused on MIR301B, whose expression level showed the most prominent correlation with those of both BHLHE40 and BHLHE41 (Figure 2H–2K). Dose-dependent expression of MIR301B was observed by transfection of its mimic into HHUA cells (Supplementary Figure 3A). In response to the forced expression of MIR301B, protein expression of BHLHE40 and BHLHE41 was suppressed (Supplementary Figure 3B). Again, mRNA level of BHLHE41 was suppressed and that of BHLHE40 was enhanced (Supplementary Figure 3C and 3D). In vitro cell invasion was enhanced by the mimic, and protein analysis showed that an epithelial marker, CDH1, was downregulated, and mesenchymal markers, VIM, SNAI1, SNAI2 and TWIST, were upregulated by the mimic (Supplementary Figure 3B and 3E). These data suggested that the MIR130 family including MIR301B enhanced cell invasion by inducing EMT.
MIR301B enhanced EMT and cell invasion by suppressing the expression of BHLHE40/41
Our previous study indicated that BHLHE40 and BHLHE41 suppressed EMT and cell invasion by suppressing the transcription of the EMT effectors, TWIST, SNAI1, or SNAI2 [8]. The results above suggested that MIR310B enhanced EMT and cell invasion by inhibiting BHLHE40/41. To evaluate the impact of BHLHE40/41 expression in the EMT and cell invasion induced by MIR310B, we first used HHUA cells, in which both BHLHE40 and BHLHE41 were successfully knocked down (Figure 3E, 3G and 3H). Effective expression of MIR301B was induced by transfection of its mimic (Figure 3F). The enhancement of EMT and in vitro cell invasion by MIR301B expression was weakened by knockdown of BHLHE40/41 (Figure 3E and 3I). Next we used HHUA cells stably expressing both BHLHE40 and BHLHE41, which did not contain 3’-UTRs responsive to the MIR130 family (Figure 3J). The enhancement of EMT and cell invasion by MIR301B expression was canceled by forced expression of the BHLHE40/41 unresponsive to MIR301B (Figure 3J–3L).
Furthermore, HEC-1 and HEC-6 cells, which expressed only small amounts of both BHLHE40 and BHLHE41 were used to examine the impact of MIR301B expression. Both BHLHE40 and BHLHE41 were successfully expressed in HEC-1 and HEC-6 cells and their expression suppressed EMT and cell invasion (Supplementary Figure 4A, 4C, 4D and 4F). The forced expression of MIR301B produced only modest changes in both control cells and BHLHE40/41-expressing cells (Supplementary Figure 4A–4F).
BHLHE41 dominantly regulated the expression of the MIR301B-MIR130B cluster
The results above suggested the impact of the MIR301B-BHLHE40/41 signaling pathway on the EMT and invasion of EC cells. Next, we focused on MIR301B and MIR130B, which are separated by only 245 bp. In general, the distance of a promoter from its miRNA coding region is variable, ranging from a few hundred bases to 20 kb or longer [43]. A perfect canonical E-box (-CACGTG-) was found in the 5’ upstream region of the MIR301B-MIR130B in a preliminary search (Supplementary Figure 5A). This discovery led us to study the impact of BHLHE40/41 on the expression of MIR130B and MIR301B. Forced expression of BHLHE40 and/or BHLHE41 in HEC-1 and HEC-6 cells resulted in downregulation of both MIR130B and MIR301B (Figure 4A). This effect is prominent in the case of BHLHE41 expression (Figure 4A). On the other hand, knockdown of BHLHE40 and/or BHLHE41 upregulated both MIR130B and MIR301B in HHUA cells (Figure 4B). A reporter assay was performed using the upstream promoter region (-7850~ -5351 bp from MIR130B) of the MIR301B-MIR130B cluster. As expected, the reporter activity was remarkably suppressed by forced expression of BHLHE41 (Figure 4C). On the other hand, knockdown of BHLHE40 and BHLHE41 enhanced the reporter activity (Figure 4D). Introduction of a mutation in the canonical E-box abrogated the effects (Supplementary Table 1; Figure 4C and 4D). There are several E-box sequences in the promoter region of the MIR301B-MIR130B cluster. An EMSA was performed to examine the affinity of each E-box for BHLHE40/41. The canonical E-box (-CACGTG-) showed prominent affinity to BHLHE40/41 (Supplementary Figure 5B). To examine the affinity of BHLHE40 and BHLHE41 to the canonical E-box, nuclear extracts from 293T cells expressing BHLHE40, BHLHE41, and both BHLHE40 and BHLHE41 were used to form DNA-protein complexes. BHLHE41 showed more abundant complexes than BHLHE40 (Figure 4E, upper panel, compare lanes 2 and 3). We confirmed that these cells expressed a comparable level of BHLHE40 and BHLHE41 (Figure 4E, lower panel). The sequence specific binding of BHLHE40/41 was confirmed by adding of wild type and mutant competitor probes (Supplementary Table 2; Figure 4F). The presence of HA-BHLHE40 and FLAG-BHLHE41 in the complexes was demonstrated by the formation of supershifts after adding of anti-HA or anti-FLAG antibody (Figure 4F, lanes 4 and 5). A ChIP assay was also conducted to show the interaction of BHLHE40/41 and a DNA region containing the canonical E-box (Figure 4G and 4H). Forced expression of BHLHE40/41 resulted in dissociation between acetylated Histone H3 and the DNA region and association between HDAC1 and the DNA region (Figure 4I and 4J) [4, 5].
SP1 is involved in transcriptional activation of the MIR301B-MIR130B cluster
Using the preliminary search of the promoter region of the MIR310B-MIR130B cluster with rVista 2.0 (https://rvista.dcode.org/), several candidate binding sites for a transcription factor, SP1, were identified. We first knocked-down the expression of SP1 by siRNA (siSP1) transfection in HEC-1, HEC-6, and HHUA cells. Successful knockdown of SP1 in HEC-1, HEC-6, and HHUA cells resulted in downregulation of both MIR130B and MIR301B (Figure 5A). On the other hand, forced expression of SP1 in HHUA cells, which originally expressed relatively low levels of SP1 resulted in upregulation of both MIR130B and MIR301B (Figure 5B). Next, we generated a reporter containing a proximal promoter region (-1587~ +53 bp from MIR130B: pMIR130B-1587), which is relatively conserved among human and mouse. To narrow down the region responsible for SP1 binding, 4 kinds of truncated reporters along with pMIR130B-1587 reporter were used for reporter assay to examine the effect of SP1 expression. Similar to pMIR130B-1587 reporter, the shortest reporter, pMIR130B-158 still showed upregulation of the reporter activity by forced expression of SP1 (Figure 5C). A search of -158~ +53 region by rVista 2.0 identified a GC-rich region, a candidate site for SP1 binding. Introduction of mutations in the GC-rich region abrogated the upregulation of reporter activity in response to forced expression of SP1 (Supplementary Table 1; Figure 5D). As expected, knockdown of SP1 expression suppressed the reporter activity (Figure 5E). In contrast, siSP1 failed to suppress the activity of a mutant reporter (Supplementary Table 1; Figure 5E).
A search for a single nucleotide polymorphism (SNP) in the NCBI database (https://www.ncbi.nlm.nih.gov/projects/SNP/) identified an SNP, rs861843 (C/G), in the GC-rich region. A reporter with rs861843-G showed less activation by SP1 than that with rs861843-C (Figure 5D). Similar to the mutant reporter, the reporter with rs861843-G showed resistance to SP1 knockdown (Figure 5E). Affinity between the GC-rich region and SP1 was assayed using an EMSA. The GC-rich probe with rs861843-C had a higher affinity with SP1 compared with that with rs861843-G or mutations (Supplementary Table 2; Figure 5F and 5G). The presence of SP1 in the DNA-protein complex was demonstrated by supershift formation after addition of the anti-SP1 antibody (Figure 5F and 5G). SP1 binding to the GC-rich region was also confirmed using ChIP assay in 293T cells (Figure 5H). HEC-1, HEC-6, HHUA, and 293T cells all have C/C alleles at rs861843. To study the impact of rs861843 in EC prevalence and EC development, blood samples from 300 EC cases and 150 age-matched healthy controls were examined for their genotypes at rs861843. All the samples were from Japanese people. Unexpectedly, all the genomic samples had C/C at rs861843.
Inhibition of MIR130B and MIR301B resulted in upregulation of BHLHE40/41 expression
The impact of inhibition of MIR130B and MIR301B was examined in HEC-6 cells, which expressed only low levels of BHLHE40/41. Successful suppression of MIR130B and MIR301B expression in each cell line was obtained by transfection of inhibitors for MIR130B and MIR301B (Figure 6A and 6B). Inhibition of MIR130B and MIR301B upregulated the protein levels of both BHLHE40 and BHLHE41 (Figure 6C). In contrast to the observation with the MIR130B and MIR301B mimics, their inhibitors suppressed the mRNA levels of BHLHE40 but enhanced mRNA levels of BHLHE41 (Figure 6D and 6E; also see Figure 3B and 3C). Reporter activity of 3’-UTRs of BHLHE40 and BHLHE41 was enhanced by inhibitors of MIR130B and MIR301B (Figure 6F and 6G). Inhibition of MIR130B and MIR301B suppressed EMT and in vitro cell invasion (Figure 6C and 6H). Throughout the assays using inhibitors, simultaneous transfection of both MIR130B and MIR301B inhibitors led to remarkable results. Similar results were obtained using HEC-1 cells (Supplementary Figure 6).
DISCUSSION
BHLHE40/41 are known to be involved in carcinogenesis, cancer development, invasion, and metastasis. In our previous study, we showed that BHLHE40/41 inhibited EMT and cell invasion of EC cells by suppressing the transcription of SNAI1, SNAI2 and TWIST1 [8]. As suggested tumor suppressors, the expression of BHLHE40/41 was downregulated in cancer cases at advanced stages (Figure 1B, 1L and 1M). A correlation analysis showed that the expression levels of BHLHE40 and BHLHE41 were positively correlated (Figure 1C and 1N). Based on the results, we assumed that the expression of both BHLHE40 and BHLHE41 were regulated by a common unknown mechanism. We identified target sequences for the MIR130 family in 3’-UTRs of both BHLHE40 and BHLHE41 (Figure 2A and 2B). A reporter assay demonstrated that MIR301B suppressed the reporter activity in a sequence-specific manner (Figure 2A and 2B). Although there were two candidate sites for the MIR130 family in 3’-UTR of BHLHE41, the distant site (+1565~ +1571) was dominant in suppression of the reporter activity (Figure 2B).
An in vitro assay indicated that mimics of MIR130 family members suppressed the protein expression of BHLHE40/41 in EC cells (Figure 3A; Supplementary Figure 3B). As expected, MIR130 family members suppressed the mRNA expression of BHLHE41 (Figure 3C; Supplementary Figure 3D). However, the MIR130 family upregulated the mRNA level of BHLHE40 (Figure 3B; Supplementary Figure 3C). In contrast to the case of mimic transfection, inhibitors of MIR130B and MIR301B upregulated BHLHE41 and downregulated BHLHE40 on the mRNA levels (Figure 6D and 6E; Supplementary Figure 6D and 6E). These results suggested that the MIR130 family suppressed the protein expression of BHLHE41 by an mRNA degradation mechanism. In contrast, the MIR130 family was suggested to suppress the protein expression of BHLHE40 by a mechanism other than mRNA degradation, such as translational repression [21]. Because mutual suppression of expression between BHLHE40 and BHLH41 is known [1, 2], it might be assumed that the suppression of BHLHE41 protein by forced expression of the MIR130 family resulted in enhanced transcription of BHLHE40.
Expression analysis using clinical samples showed that miRNA levels of MIR130 family members had negative correlations with mRNA and protein levels of BHLHE40/41 (Figure 2H–2K; Supplementary Figure 1E–1T). In particular, the MIR301B levels had prominent correlations with all of the mRNA and protein levels of BHLHE40 and BHLHE41 (Figure 2H–2K). These results were contradictory to the data obtained from the in vitro assay because MIR130 family mimics upregulated BHLHE40 mRNA levels in HHUA cells (Figure 3B; Supplementary Figure 3C). The precise mechanism of this contradiction remains to be dissolved. The regulation of MIR301B-MIR130B and BHLHE40/41 is not one-way pathway. As shown in this study, there is a mutual regulation mechanism between MIR301B-MIR130B and BHLHE40/41. The increased mRNA levels of BHLHE40 in response to MIR301B-MIR130B may in turn suppress MIR301B-MIR130B expression by upregulation of BHLHE40 translation. To support the complexity of regulation between BHLHE40 mRNA and protein, analysis from the clinical sample showed that there was no correlation between mRNA level and protein level of BHLHE40 (Supplementary Figure 7A). In contrast, BHLHE41 had a remarkable positive correlation between mRNA and protein levels (Supplementary Figure 7B).
MIR130B and MIR301B are very close subfamily members, which form a cluster and seem to share a promoter [31]. We focused on this cluster because the MIR301B expression had a remarkable correlation with the clinical signature and expression levels of both MIR130B and MIR301B showed a negative correlation with those of BHLHE40 and BHLHE41 (Figure 2H–2K; Figure 1E–1T). Inhibition of MIR130B and MIR301B resulted in upregulation of BHLHE40/41 in HEC-1 and HEC-6 cells (Figure 6C; Supplementary Figure 6C). A reporter assay and expression analysis of BHLHE40/41, and an in vitro invasion assay showed that inhibition of MIR301B had stronger effects than that of MIR130B and inhibition of both MIR130B and MIR301B had the most significant effects (Figure 6C–6H; Supplementary Figure 6C–6H). It can be presumed that because each EC cell line expressed comparable levels of MIR130 family members, multiple inhibitions of the members had stronger effects (Supplementary Figure 2D–2G).
We also focused on the regulatory mechanism of the MIR301B-MIR130B cluster. There are only a couple of studies reporting the regulation of MIR301B-MIR130B expression [31–33]. Because a perfect canonical E-box (-CACGTG-) was found in the 5’ upstream region of the MIR301B-MIR130B cluster, we presumed that mutual inhibition between MIR301B-MIR130B and BHLHE40/41 might be involved in EC development. As expected, BHLHE40/41 suppressed the expression of MIR130B and MIR301B (Figure 4A and 4B). Compared with BHLHE40, BHLHE41 had stronger effects on the expression of MIR130B and MIR310B (Figure 4A and 4B). This is also the case with reporter activity (Figure 4C). EMSA showed that BHLHE41 had higher affinity for the E-box than BHLHE40 (Figure 4E, compare lane 2 with lane 3). By adding an anti-HA antibody to the protein-DNA complex, only a small part of the complexes were supershifted (Figure 4F, lane 4). In contrast, adding an anti-FLAG antibody supershifted all the complexes (Figure 4F, lane 5). These results also suggested that BHLHE41 had stronger affinity to the E-box. BHLHE40 and BHLHE41 are known to form a homodimer or a heterodimer to function as transcription factors [44, 45]. Previously, our immunoprecipitation assay showed that the BHLHE41-BHLHE41 homodimer was the preferred form to the BHLHE40-BHLHE40 homodimer or the BHLHE40-BHLHE41 heterodimer [8]. This evidence also supports why BHLHE41 had stronger effects compared with BHLHE40 (Figure 4A–4C). Consistent with our data, Hamaguchi et al. also showed that BHLHE41 had stronger effects compared with BHLHE40 [46].
In this study, we identified a SNP, rs861843 in the GC-rich SP1 binding site of the MIR301B-MIR130B cluster. The C/G polymorphism at rs861843 significantly affected the reporter activity and the affinity of SP1 for the SP1 binding site (Figure 5D–5G). The frequency of the minor allele, G, varies depending on race. African people have a G allele at a frequency of 0.199. In contrast, East Asian people have a G allele at a frequency of 0.001 (NCBI, dbSNP, https://www.ncbi.nlm.nih.gov/snp/rs861843). Our present assay based on Japanese samples from 300 EC cases and 150 healthy controls showed that all the samples had C/C genotypes at rs861843. Rs861843 could have some impact in African and European people, who have high frequency of a G allele, on EC prevalence or EC development.
In conclusion, we identified the MIR130 family as negative regulators of BHLHE40/41 expression in EC cells. We also identified a critical regulation of MIR301B and MIR130B expression by the transcription factor SP1 and BHLHE40/41. This study is the first to report a novel mutual regulation among BHLHE40/41 and miRNAs in cancer cells. Our results suggest that BHLHE40/41 and the MIR301B-MIR130B cluster suppressed each other to regulate EMT and cell invasion in EC. We propose that BHLHE40/41 and the MIR130 family are excellent markers to predict the progression of EC cases, and that molecular therapy targeting the MIR130 family-BHLHE40/41 axis may effectively control EC extension.
MATERIALS AND METHODS
Cell lines
HEC-1, HEC-6, HHUA, Ishikawa and 293T cells were obtained and grown as described previously [8]. KLE and AN3 CA cells were from the American Type Culture Collection (ATCC) (Manassas, VA, USA). 293T, KLE, AN3CA and Ishikawa cells were used within 6 months of receipt. The identities of HEC-1, HEC-6, and HHUA cells were confirmed by the Japanese Collection of Research Bioresources (JCRB) cell bank using DNA profiling (short tandem repeat).
Patients and tissue samples
Sixty-one EC patients who underwent surgery at the Department of Obstetrics and Gynecology of Kyushu University Hospital between 2005 and 2010 were recruited for this study. The 61 EC primary specimens (29 cases at stage IA, 15 at stage IB, 1 at stage IIA, 1 at stage IIB, 2 at stage IIIB, 11 at stage IIIC, and 2 at stage IVB based on surgical staging of FIGO 2008; 56 endometrioid carcinoma cases including 26 at grade 1, 20 at grade 2, and 10 at grade 3, and 5 serous carcinoma) were used in mRNA, miRNA assays and immunohistochemistry. All patients involved in this study provided their written informed consent. This study was approved by the Ethical Committee of Kyushu University.
Reverse transcription (RT)-qPCR and TaqMan miRNA assay
Total RNA including miRNA from tissue samples and cultured cells was extracted using a mirVana miRNA Isolation Kit (Thermo Fisher Scientific, Waltham MA, USA). RT-qPCR was performed as described previously [8, 47]. The sequence information of the primers used is shown in Supplementary Table 3. TaqMan qPCR was performed using TaqMan MicroRNA Reverse Transcription Kit and TaqMan Fast Advanced Master Mix. (Applied Biosystems, Foster City, CA, USA). The relative expression levels of target genes were calculated after normalization using those of SNORD44. TaqMan Assay Name: RNU44 for SNORD44; has-miR-130a-3p for MIR130A; has-miR-130b-3p for MIR130B; has-miR-301a-3p for MIR301A; has-miR-301a-3p for MIR301B; has-miR454-3p for MIR454 (Applied Biosystems).
Immunohistochemistry
Immunohistochemistry was performed as described previously using antibodies as follows: anti-BHLHE40 (HPA028921, Atlas Antibodies, Stockholm, Sweden) or anti-BHLHE41 (E-4, Santa Cruz Biotechnology, Santa Cruz, CA, USA) antibody [8]. The nuclear expression of BHLHE40/41 was evaluated using a staining scoring system modified from that described by Allred et al. [48]. Staining scores were calculated by multiplying the proportion score by the intensity score.
Immunoblotting
Immunoblotting was performed as described previously using primary antibodies as follows: anti-BHLHE40 (S-8), -SNAI1 (H-130), -SNAI2 (D-19), -SP1 (PEP2), -TWIST1 (H-81), -VIM (V-9), -FN1 (EP5), -CDH1 (H-108), -CDH2 (H-63), and -GAPDH (FL-335) (Santa Cruz Biotechnology). Anti-BHLHE41 (S8568), -HA (HA-7), and -FLAG (M5) antibodies were from Sigma-Aldrich (St. Louis, MO, USA) [8, 47].
Plasmid transfection, lentivirus vector transduction and luciferase assay
The pCDNA3 vectors to express HA- or FLAG-tagged human BHLHE40 and BHLHE41, and MYC-tagged human SP1, the lentivirus vectors to express HA-tagged BHLHE40 and FLAG-tagged BHLHE41, the lentivirus vectors to knockdown BHLHE40 and BHLHE41 were prepared as described previously [8].
Several DNA regions upstream of MIR130B (spanning -7850 bp to -5351 bp, and -1587, -1255, -1167, -368 and -158 bp to +53 bp from the transcription start site) were amplified by PCR and ligated into a pGL4.22-basic luciferase vector (Promega). The 3’- UTRs of BHLHE40 and BHLHE41 (spanning +12 bp to +1545 bp of 3’-UTR for BHLHE40 and +14 bp to +1996 bp of 3’-UTR for BHLHE41) were amplified by PCR and ligated into the pmirGLO Dual-Luciferase miRNA Target Expression Vector (Promega). The sequences of the forward primers to generate the mutants are shown in Supplementary Table 1. The DNA sequence of each construct was confirmed by sequencing reactions. In reporter assays, cells (1×105) were transfected with 200 ng of each luciferase reporter, 100 ng of an expressing vector or 50 nM of miRNA mimic/inhibitor, and 5 ng of pRL-TK vector (Promega) for a pGL4.22-luciferase vector using Lipofectamine 3000 reagent (Invitrogen). Twenty-four hours after transfection, cell lysates were collected and assayed using a Dual-Luciferase Reporter Assay System kit (Promega). Firefly luciferase activity values were normalized using those of Renilla luciferase activity.
siRNA and miRNA mimics/inhibitors transfection
Double-stranded small interfering RNA (siRNA) for SP1 (siSP1) (sc-29487) was purchased with control siRNA (sc-37007) from Santa Cruz Biotechnology. Mimics of MIR130A, MIR130B, MIR301A, MIR301B, and inhibitors for MIR130B and MIR301B were purchased with a control miRNA mimic and inhibitor from Dharmacon (miRIDIAN microRNA mimics and inhibitors, Dharmacon, Lafayette, CO, USA). siSP1 and miRNAs mimics/inhibitors were transfected into cells using Lipofectamine 3000 reagent (Invitrogen) at a final concentration of 40 or 100 nM for siSP1 and 25 or 50 nM for miRNAs mimics/inhibitors, respectively.
miRNA pulldown assay
HHUA cells transfected with 3’-biotinylated negative control miRNA mimic or 3’-biotinylated MIR301B mimic (Qiagen, Hilden, Germany) were used for miRNA pulldown assay as described previously [49]. Precipitated RNA samples using streptavidin-coated magnetic beads (GE Healthcare Life Sciences, Chicago, IL, USA) were reverse-transcribed and used for qPCR [8, 47]. The sequence information of the primers used is shown in Supplementary Table 3.
Electrophoretic mobility shift assay
Electrophoretic mobility shift assays (EMSAs) were performed using nuclear extracts from 293T cells expressing HA-BHLHE40 and/or HA- or FLAG-BHLHE41 as described previously [8]. The sequences of the probes used for BHLHE40/41 and SP1 binding are shown in Supplementary Table 2. For supershift formation, anti-HA, -FLAG (Sigma-Aldrich), -SP1, or -SRF (Santa Cruz Biotechnology) antibody was added to the incubation mixture.
Chromatin immunoprecipitation assay
Chromatin immunoprecipitation (ChIP) assays were performed as described previously [8, 50]. The DNA-protein complex was immunoprecipitated using anti-HA (ab9110, Abcam), -FLAG (M5, Sigma-Aldrich), -acetylated Histone H3 (Millipore), -HDAC1 (ab7028, Abcam) antibodies. Precipitated DNA samples were used to amplify the E-box and SP1 binding site (SP1BS) of the MIR301B-130B promoter with the primers shown in Supplementary Table 3.
Transwell chamber assay
Cell invasion were evaluated using a transwell chamber assay as described previously [8, 47]. A total of 5.0×104 cells were plated in the upper wells without serum, separated by Matrigel-coated membrane. Complete growth medium with 10% fetal bovine serum was placed in the lower wells. After 24 hours for HEC-1 and after 48 hours for HHUA cells and HEC-6 cells, the membranes were collected for analysis.
Blood samples and SNP genotyping analysis
Blood samples from 300 EC cases and 150 age-matched healthy controls were examined for their genotypes at rs861843. This study is a part of the cohort study approved by the Ethical Committee of Aichi Cancer Center. SNP genotyping analysis at rs861843 was performed using TaqMan SNP Genotyping Assay (Assay ID: C___8740703_20, Applied Biosystems). The data was processed using TaqMan Genotyper Software (Applied Biosystems).
Statistics
Data are represented as the mean ± standard deviation (SD). Case-control data were analyzed using the Mann–Whitney U test. The correlation analysis was performed using Pearson’s product-moment correlation coefficient. The significance of these relationships was determined using the F-test. Reporter assay and qPCR assay data were analyzed with two-sided Student’s t-test. Welch’s test was applied when heteroscedasticity was suspected. F-test was used to test if a give set of data had the similar variance. A value of P < 0.05 was considered significant.
SUPPLEMENTARY MATERIALS FIGURES AND TABLES
Acknowledgments
We thank Dr. Kotaro Matsuo at Aichi Cancer Center for the SNP analysis. We also express our appreciation for the technical support provided from Ms. Sawako Adachi, and the Research Support Center, Graduate School of Medical Science, Kyushu University.
Author contributions
K. A. and K. Kato design the study and wrote the manuscript. E. H., S. Y., H. Y., I. O., K. Kodama., M. Y., T. O., E. K., K. O. and H. Y. contribute to experimental design, data collection and manuscript editing. All authors have agreed with the final version of the manuscript.
CONFLICTS OF INTEREST
The authors declare no conflicts of interest.
FUNDING
This work was supported by JSPS KAKENHI Grant Number JP17K11280 (funds to K.A.).
REFERENCES
- 1. Li Y, Xie M, Song X, Gragen S, Sachdeva K, Wan Y, Yan B. DEC1 negatively regulates the expression of DEC2 through binding to the E-box in the proximal promoter. J Biol Chem. 2003; 278:16899–907. 10.1074/jbc.M300596200. [DOI] [PubMed] [Google Scholar]
- 2. Azmi S, Sun H, Ozog A, Taneja R. mSharp-1/DEC2, a basic helix-loop-helix protein functions as a transcriptional repressor of E box activity and Stra13 expression. J Biol Chem. 2003; 278:20098–109. 10.1074/jbc.M210427200. [DOI] [PubMed] [Google Scholar]
- 3. Sun H, Taneja R. Stra13 expression is associated with growth arrest and represses transcription through histone deacetylase (HDAC)-dependent and HDAC-independent mechanisms. Proc Natl Acad Sci USA. 2000; 97:4058–63. 10.1073/pnas.070526297. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4. Ivanov SV, Salnikow K, Ivanova AV, Bai L, Lerman MI. Hypoxic repression of STAT1 and its downstream genes by a pVHL/HIF-1 target DEC1/STRA13. Oncogene. 2007; 26:802–12. 10.1038/sj.onc.1209842. [DOI] [PubMed] [Google Scholar]
- 5. Gulbagci NT, Li L, Ling B, Gopinadhan S, Walsh M, Rossner M, Nave KA, Taneja R. SHARP1/DEC2 inhibits adipogenic differentiation by regulating the activity of C/EBP. EMBO Rep. 2009; 10:79–86. 10.1038/embor.2008.207. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6. Bhawal UK, Sato F, Arakawa Y, Fujimoto K, Kawamoto T, Tanimoto K, Ito Y, Sasahira T, Sakurai T, Kobayashi M, Kashima I, Kijima H, Kuniyasu H, et al. Basic helix-loop-helix transcription factor DEC1 negatively regulates cyclin D1. J Pathol. 2011; 224:420–29. 10.1002/path.2878. [DOI] [PubMed] [Google Scholar]
- 7. Xu Q, Ma P, Hu C, Chen L, Xue L, Wang Z, Liu M, Zhu H, Xu N, Lu N. Overexpression of the DEC1 protein induces senescence in vitro and is related to better survival in esophageal squamous cell carcinoma. PLoS One. 2012; 7:e41862. 10.1371/journal.pone.0041862. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8. Asanoma K, Liu G, Yamane T, Miyanari Y, Takao T, Yagi H, Ohgami T, Ichinoe A, Sonoda K, Wake N, Kato K. Regulation of the Mechanism of TWIST1 Transcription by BHLHE40 and BHLHE41 in Cancer Cells. Mol Cell Biol. 2015; 35:4096–109. 10.1128/MCB.00678-15. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9. Bi H, Li S, Qu X, Wang M, Bai X, Xu Z, Ao X, Jia Z, Jiang X, Yang Y, Wu H. DEC1 regulates breast cancer cell proliferation by stabilizing cyclin E protein and delays the progression of cell cycle S phase. Cell Death Dis. 2015; 6:e1891. 10.1038/cddis.2015.247. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10. Montagner M, Enzo E, Forcato M, Zanconato F, Parenti A, Rampazzo E, Basso G, Leo G, Rosato A, Bicciato S, Cordenonsi M, Piccolo S. SHARP1 suppresses breast cancer metastasis by promoting degradation of hypoxia-inducible factors. Nature. 2012; 487:380–84. 10.1038/nature11207. [DOI] [PubMed] [Google Scholar]
- 11. Li P, Jia YF, Ma XL, Zheng Y, Kong Y, Zhang Y, Zong S, Chen ZT, Wang YS. DEC2 suppresses tumor proliferation and metastasis by regulating ERK/NF-κB pathway in gastric cancer. Am J Cancer Res. 2016; 6:1741–57. [PMC free article] [PubMed] [Google Scholar]
- 12. Liao Y, He X, Qiu H, Che Q, Wang F, Lu W, Chen Z, Qiu M, Wang J, Wang H, Wan X. Suppression of the epithelial-mesenchymal transition by SHARP1 is linked to the NOTCH1 signaling pathway in metastasis of endometrial cancer. BMC Cancer. 2014; 14:487. 10.1186/1471-2407-14-487. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. Yunokawa M, Tanimoto K, Nakamura H, Nagai N, Kudo Y, Kawamoto T, Kato Y, Hiyama E, Hiyama K, Nishiyama M. Differential regulation of DEC2 among hypoxia-inducible genes in endometrial carcinomas. Oncol Rep. 2007; 17:871–78. 10.3892/or.17.4.871. [DOI] [PubMed] [Google Scholar]
- 14. Liao Y, Lu W, Che Q, Yang T, Qiu H, Zhang H, He X, Wang J, Qiu M, Zou Y, Gu W, Wan X. SHARP1 suppresses angiogenesis of endometrial cancer by decreasing hypoxia-inducible factor-1α level. PLoS One. 2014; 9:e99907. 10.1371/journal.pone.0099907. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15. Kato Y, Kawamoto T, Fujimoto K, Noshiro M. DEC1/STRA13/SHARP2 and DEC2/SHARP1 coordinate physiological processes, including circadian rhythms in response to environmental stimuli. Curr Top Dev Biol. 2014; 110:339–72. 10.1016/B978-0-12-405943-6.00010-5. [DOI] [PubMed] [Google Scholar]
- 16. Sato F, Bhawal UK, Yoshimura T, Muragaki Y. DEC1 and DEC2 Crosstalk between Circadian Rhythm and Tumor Progression. J Cancer. 2016; 7:153–59. 10.7150/jca.13748. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17. Yamada K, Miyamoto K. Basic helix-loop-helix transcription factors, BHLHB2 and BHLHB3; their gene expressions are regulated by multiple extracellular stimuli. Front Biosci. 2005; 10:3151–71. 10.2741/1772. [DOI] [PubMed] [Google Scholar]
- 18. Senchenko VN, Kisseljova NP, Ivanova TA, Dmitriev AA, Krasnov GS, Kudryavtseva AV, Panasenko GV, Tsitrin EB, Lerman MI, Kisseljov FL, Kashuba VI, Zabarovsky ER. Novel tumor suppressor candidates on chromosome 3 revealed by NotI-microarrays in cervical cancer. Epigenetics. 2013; 8:409–20. 10.4161/epi.24233. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19. Dmitriev AA, Kashuba VI, Haraldson K, Senchenko VN, Pavlova TV, Kudryavtseva AV, Anedchenko EA, Krasnov GS, Pronina IV, Loginov VI, Kondratieva TT, Kazubskaya TP, Braga EA, et al. Genetic and epigenetic analysis of non-small cell lung cancer with NotI-microarrays. Epigenetics. 2012; 7:502–13. 10.4161/epi.19801. [DOI] [PubMed] [Google Scholar]
- 20. Dmitriev AA, Rosenberg EE, Krasnov GS, Gerashchenko GV, Gordiyuk VV, Pavlova TV, Kudryavtseva AV, Beniaminov AD, Belova AA, Bondarenko YN, Danilets RO, Glukhov AI, Kondratov AG, et al. Identification of Novel Epigenetic Markers of Prostate Cancer by NotI-Microarray Analysis. Dis Markers. 2015; 2015:241301. 10.1155/2015/241301. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21. van Rooij E, Olson EN. MicroRNA therapeutics for cardiovascular disease: opportunities and obstacles. Nat Rev Drug Discov. 2012; 11:860–72. 10.1038/nrd3864. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22. Jiang B, Mu W, Wang J, Lu J, Jiang S, Li L, Xu H, Tian H. MicroRNA-138 functions as a tumor suppressor in osteosarcoma by targeting differentiated embryonic chondrocyte gene 2. J Exp Clin Cancer Res. 2016; 35:69. 10.1186/s13046-016-0348-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23. Liang Y, Zhang P, Li S, Li H, Song S, Lu B. MicroRNA-873 acts as a tumor suppressor in esophageal cancer by inhibiting differentiated embryonic chondrocyte expressed gene 2. Biomed Pharmacother. 2018; 105:582–89. 10.1016/j.biopha.2018.05.152. [DOI] [PubMed] [Google Scholar]
- 24. Xu J, Huang Z, Lin L, Fu M, Song Y, Shen Y, Ren D, Gao Y, Su Y, Zou Y, Chen Y, Zhang D, Hu W, et al. miRNA-130b is required for the ERK/FOXM1 pathway activation-mediated protective effects of isosorbide dinitrate against mesenchymal stem cell senescence induced by high glucose. Int J Mol Med. 2015; 35:59–71. 10.3892/ijmm.2014.1985. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25. Hamilton MP, Rajapakshe K, Hartig SM, Reva B, McLellan MD, Kandoth C, Ding L, Zack TI, Gunaratne PH, Wheeler DA, Coarfa C, McGuire SE. Identification of a pan-cancer oncogenic microRNA superfamily anchored by a central core seed motif. Nat Commun. 2013; 4:2730. 10.1038/ncomms3730. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26. Torres A, Torres K, Pesci A, Ceccaroni M, Paszkowski T, Cassandrini P, Zamboni G, Maciejewski R. Diagnostic and prognostic significance of miRNA signatures in tissues and plasma of endometrioid endometrial carcinoma patients. Int J Cancer. 2013; 132:1633–45. 10.1002/ijc.27840. [DOI] [PubMed] [Google Scholar]
- 27. Chung TK, Cheung TH, Huen NY, Wong KW, Lo KW, Yim SF, Siu NS, Wong YM, Tsang PT, Pang MW, Yu MY, To KF, Mok SC, et al. Dysregulated microRNAs and their predicted targets associated with endometrioid endometrial adenocarcinoma in Hong Kong women. Int J Cancer. 2009; 124:1358–65. 10.1002/ijc.24071. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28. Chen J, Yan D, Wu W, Zhu J, Ye W, Shu Q. MicroRNA-130a promotes the metastasis and epithelial-mesenchymal transition of osteosarcoma by targeting PTEN. Oncol Rep. 2016; 35:3285–92. 10.3892/or.2016.4719. [DOI] [PubMed] [Google Scholar]
- 29. Colangelo T, Fucci A, Votino C, Sabatino L, Pancione M, Laudanna C, Binaschi M, Bigioni M, Maggi CA, Parente D, Forte N, Colantuoni V. MicroRNA-130b promotes tumor development and is associated with poor prognosis in colorectal cancer. Neoplasia. 2013; 15:1086–99. 10.1593/neo.13998. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30. Tu K, Zheng X, Dou C, Li C, Yang W, Yao Y, Liu Q. MicroRNA-130b promotes cell aggressiveness by inhibiting peroxisome proliferator-activated receptor gamma in human hepatocellular carcinoma. Int J Mol Sci. 2014; 15:20486–99. 10.3390/ijms151120486. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31. Fort RS, Mathó C, Oliveira-Rizzo C, Garat B, Sotelo-Silveira JR, Duhagon MA. An integrated view of the role of miR-130b/301b miRNA cluster in prostate cancer. Exp Hematol Oncol. 2018; 7:10. 10.1186/s40164-018-0102-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32. Yang C, Cai J, Wang Q, Tang H, Cao J, Wu L, Wang Z. Epigenetic silencing of miR-130b in ovarian cancer promotes the development of multidrug resistance by targeting colony-stimulating factor 1. Gynecol Oncol. 2012; 124:325–34. 10.1016/j.ygyno.2011.10.013. [DOI] [PubMed] [Google Scholar]
- 33. Cui X, Kong C, Zhu Y, Zeng Y, Zhang Z, Liu X, Zhan B, Piao C, Jiang Z. miR-130b, an onco-miRNA in bladder cancer, is directly regulated by NF-κB and sustains NF-κB activation by decreasing Cylindromatosis expression. Oncotarget. 2016; 7:48547–61. 10.18632/oncotarget.10423. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34. Li BL, Lu C, Lu W, Yang TT, Qu J, Hong X, Wan XP. miR-130b is an EMT-related microRNA that targets DICER1 for aggression in endometrial cancer. Med Oncol. 2013; 30:484. 10.1007/s12032-013-0484-0. [DOI] [PubMed] [Google Scholar]
- 35. Nam RK, Benatar T, Wallis CJ, Amemiya Y, Yang W, Garbens A, Naeim M, Sherman C, Sugar L, Seth A. MiR-301a regulates E-cadherin expression and is predictive of prostate cancer recurrence. Prostate. 2016; 76:869–84. 10.1002/pros.23177. [DOI] [PubMed] [Google Scholar]
- 36. Egawa H, Jingushi K, Hirono T, Ueda Y, Kitae K, Nakata W, Fujita K, Uemura M, Nonomura N, Tsujikawa K. The miR-130 family promotes cell migration and invasion in bladder cancer through FAK and Akt phosphorylation by regulating PTEN. Sci Rep. 2016; 6:20574. 10.1038/srep20574. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37. Ma S, Tang KH, Chan YP, Lee TK, Kwan PS, Castilho A, Ng I, Man K, Wong N, To KF, Zheng BJ, Lai PB, Lo CM, et al. miR-130b Promotes CD133(+) liver tumor-initiating cell growth and self-renewal via tumor protein 53-induced nuclear protein 1. Cell Stem Cell. 2010; 7:694–707. 10.1016/j.stem.2010.11.010. [DOI] [PubMed] [Google Scholar]
- 38. Chang YY, Kuo WH, Hung JH, Lee CY, Lee YH, Chang YC, Lin WC, Shen CY, Huang CS, Hsieh FJ, Lai LC, Tsai MH, Chang KJ, Chuang EY. Deregulated microRNAs in triple-negative breast cancer revealed by deep sequencing. Mol Cancer. 2015; 14:36. 10.1186/s12943-015-0301-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39. Shi W, Gerster K, Alajez NM, Tsang J, Waldron L, Pintilie M, Hui AB, Sykes J, P’ng C, Miller N, McCready D, Fyles A, Liu FF. MicroRNA-301 mediates proliferation and invasion in human breast cancer. Cancer Res. 2011; 71:2926–37. 10.1158/0008-5472.CAN-10-3369. [DOI] [PubMed] [Google Scholar]
- 40. Agarwal V, Bell GW, Nam JW, Bartel DP. Predicting effective microRNA target sites in mammalian mRNAs. eLife. 2015; 4:e05005. 10.7554/eLife.05005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41. Wong N, Wang X. miRDB: an online resource for microRNA target prediction and functional annotations. Nucleic Acids Res. 2015; 43:D146–52. 10.1093/nar/gku1104. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42. Karagkouni D, Paraskevopoulou MD, Chatzopoulos S, Vlachos IS, Tastsoglou S, Kanellos I, Papadimitriou D, Kavakiotis I, Maniou S, Skoufos G, Vergoulis T, Dalamagas T, Hatzigeorgiou AG. DIANA-TarBase v8: a decade-long collection of experimentally supported miRNA-gene interactions. Nucleic Acids Res. 2018; 46:D239–45. 10.1093/nar/gkx1141. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43. Ozsolak F, Poling LL, Wang Z, Liu H, Liu XS, Roeder RG, Zhang X, Song JS, Fisher DE. Chromatin structure analyses identify miRNA promoters. Genes Dev. 2008; 22:3172–83. 10.1101/gad.1706508. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44. Sato F, Kawamoto T, Fujimoto K, Noshiro M, Honda KK, Honma S, Honma K, Kato Y. Functional analysis of the basic helix-loop-helix transcription factor DEC1 in circadian regulation. Interaction with BMAL1. Eur J Biochem. 2004; 271:4409–19. 10.1111/j.1432-1033.2004.04379.x. [DOI] [PubMed] [Google Scholar]
- 45. St-Pierre B, Flock G, Zacksenhaus E, Egan SE. Stra13 homodimers repress transcription through class B E-box elements. J Biol Chem. 2002; 277:46544–51. 10.1074/jbc.M111652200. [DOI] [PubMed] [Google Scholar]
- 46. Hamaguchi H, Fujimoto K, Kawamoto T, Noshiro M, Maemura K, Takeda N, Nagai R, Furukawa M, Honma S, Honma K, Kurihara H, Kato Y. Expression of the gene for Dec2, a basic helix-loop-helix transcription factor, is regulated by a molecular clock system. Biochem J. 2004; 382:43–50. 10.1042/BJ20031760. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47. Li D, Takao T, Tsunematsu R, Morokuma S, Fukushima K, Kobayashi H, Saito T, Furue M, Wake N, Asanoma K. Inhibition of AHR transcription by NF1C is affected by a single-nucleotide polymorphism, and is involved in suppression of human uterine endometrial cancer. Oncogene. 2013; 32:4950–59. 10.1038/onc.2012.509. [DOI] [PubMed] [Google Scholar]
- 48. Allred DC, Harvey JM, Berardo M, Clark GM. Prognostic and predictive factors in breast cancer by immunohistochemical analysis. Mod Pathol. 1998; 11:155–68. [PubMed] [Google Scholar]
- 49. Subramanian M, Li XL, Hara T, Lal A. A biochemical approach to identify direct microRNA targets. Methods Mol Biol. 2015; 1206:29–37. 10.1007/978-1-4939-1369-5_3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50. Asanoma K, Kubota K, Chakraborty D, Renaud SJ, Wake N, Fukushima K, Soares MJ, Rumi MA. SATB homeobox proteins regulate trophoblast stem cell renewal and differentiation. J Biol Chem. 2012; 287:2257–68. 10.1074/jbc.M111.287128. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.