Aberrant expression of imprinted genes, such as those coding for the insulin-like growth factor 2 (IGF2) and neuronatin (NNAT), is a characteristic of a variety of embryonic neoplasms, including Wilms tumor (WT). In case of IGF2, it is generally accepted that loss of imprinting in a differentially methylated region of the IGF2/H19 locus results in biallelic expression and, thus, upregulation of the gene. In this study we examined methylation pattern at potential regulatory elements of the paternally expressed NNAT gene in a cohort of WT patients in order to further characterize the molecular mechanism causing overexpression of this regulatory gene. We demonstrate that transcriptional upregulation of NNAT in WT is grossly independent of the bladder cancer-associated protein (BLCAP) gene, an imprinted gene within the imprinted domain of the NNAT locus. However, expression of the BLCAP transcript isoform v2a formerly known to be selectively expressed from the paternal allele in brain was associated with high expression of NNAT. This contrasts the situation we found at the IGF2/H19 locus, which shows high overexpression of IGF2 and inversely correlated expression of the H19 gene in WT. An analysis of DNA methylation in two potential regulatory regions of the NNAT locus by pyrosequencing revealed significant hypomethylation of the tumors compared to normal kidney tissue. Interestingly, the difference in DNA methylation was highest at CpGs that were observed within three putative binding sites of the CCCTC-binding factor CTCF. Most importantly, hypomethylation of both NNAT regulatory regions is significantly associated with the upregulation of NNAT expression and the BLCAP_v2a transcript. Our data indicate that the methylation status of a not-yet-described regulatory element within the NNAT locus that contains four potential CTCF binding sites determines the expression level of NNAT and the nearby located BLCAP_v2a transcript, thereby suggesting a functional role in the aberrant upregulation of NNAT in WT.
Citation: Hubertus J, Zitzmann F, Trippel F, Müller-Höcker J, Stehr M, et al. (2013) Selective Methylation of CpGs at Regulatory Binding Sites Controls NNAT Expression in Wilms Tumors. PLoS ONE 8(6): e67605. doi:10.1371/journal.pone.0067605
Editor: Robert Feil, CNRS, France
Received: January 14, 2013; Accepted: May 20, 2013; Published: June 25, 2013
Copyright: © 2013 Hubertus et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Funding: This work was supported by grants of the Friedrich-Baur foundation, Munich and the Münchener Medizinische Wochenschrift, Munich (to J.H.). But the funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
Genomic imprinting is the parent-of-origin silencing that results in monoallelic expression, with the associated allelic methylation at imprinting control (ICR) or differential methylated regions (DMR) being maintained irrespective of the transcriptional output . These regions are characterized by cytosine-phosphate-guanine (CpG)-rich islands and contain binding sites for regulatory factors. High levels of methylation at these regions are suspected to prevent binding to regulatory elements such as promoters and insulators. The mechanism of genomic imprinting is known to silence developmental genes after the embryonic period . Recent studies have shown that these imprinting patterns are aberrant in different neoplasms, especially in embryonal tumors –.
Wilms tumor (WT), or nephroblastoma, accounts for 6% of all solid tumors in patients less than 15 years of age with an incidence of eight per one million children . These malignant embryonal tumors are thought to develop from precursor cells at an early stage of metanephric differentiation . Overexpression of the insulin-like growth factor 2 (IGF2) has been reported as a common characteristic in both WT and other embryonal tumors –. The IGF2 gene is part of a cluster together with H19, a non-coding RNA gene, and the expression of both genes is regulated by a central DMR (H19DMR).To date, the IGF2/H19 cluster and its regulation is the best-investigated imprinted region, and its role has been studied in many embryonal and adult cancers , , . In somatic cells, H19DMR is methylated only on the paternal allele that expresses IGF2 . As a consequence, some regulatory elements, such as the CCCTC-binding factor (CTCF), are able to bind only on the maternal allele. CTCF is an 11-zinc-finger protein that acts as a cis-regulatory transcription factor with insulator activity . It is generally accepted that loss of imprinting (LOI) at the IGF2/H19 locus results in biallelic expression of the fetal growth factor IGF2 and contributes to the development of embryonal tumors. However, overexpression of IGF2 independent from LOI at the H19DMR has also been described for WT .
We have shown in a previous study that the aberrant methylation of H19DMR is associated with the overexpression of other imprinted genes, including neuronatin (NNAT) . Those findings suggest a general overexpression of imprinted genes in WT by an as-yet-unknown superordinated mechanism. NNAT is a developmental gene involved in differentiation of neuronal tissues that may play a role in tumorigenesis . Gene expression is regulated by a DMR spanning the first two exons . NNAT is located in an imprinted domain within the intron of the bladder cancer-associated protein (BLCAP) gene . Recent studies described a tissue and parent-of-origin specific expression of BLCAP and see the NNAT gene as a part of a NNAT/BLCAP imprinting cluster .
The aim of this study was to analyze the methylation pattern at regulatory elements of the NNAT gene in a cohort of WT patients and compare its influence on gene expression of NNAT and its neighbor BLCAP.
Materials and Methods
Forty-five WT specimens were investigated from patients undergoing surgical tumor resection in our department. The median age at time of surgery was 34.5 months (range 2 months to 17 years), with a sex ratio of 1:1.5 (f:m). Thirty-seven patients (82%) underwent neoadjuvant chemotherapy according to the International Society of Pediatric Oncology (SIOP) protocol . Eleven patients (24%) were found to have bilateral WT. The control group (n = 11) consisted of renal tissue from the healthy part of the resected specimen after tumor nephrectomy. The median age of the control group was 39 months (range 3 months to 5 years) with a sex ratio of 1:2.7 (f:m). Histological classification of the samples was performed by a pathologist. The study was approved by the ethics committee of the Ludwig-Maximilians-University of Munich. Written consent was obtained from all parents.
Real-time Reverse Transcription-PCR (RT-PCR)
Tri Reagent® was used for the isolation of total RNA from native samples. Total RNA and DNA were separated and subsequently purified using DNase and an RNeasy Mini Kit, respectively (Qiagen, Hilden, Germany). Reverse transcription of total RNA was performed using random hexamers (Roche Diagnostics, Penzberg, Germany) and SuperScript II reverse transcriptase (Invitrogen, Carlsbad, CA, USA). Intron-spanning primers were designed for the human genes IGF2, H19, BLCAP, and NNAT using Primer Express® v2.0 (Applied Biosystems, Foster City, CA, USA) based on the sequence information contained in the Ensembl Database. Primers were as follows (5′−>3′ orientation): NNAT: CGGCTGGTACATCTTCCGC, TGTCCCTGGAGGATTTCGAAA; IGF2: CCCGCTGGGCCAATCT, GAGTCTGGTTTTGATGCCACC; H19: CTCACCCACCGCAATTCATT, CGTGCCGGAGCTGCC; BLCAP: AACGGAAGCCTTGCACAATT, ATCGGAGCAGTGGTACAGGAA; BLCAP_v1a: GTGGCGAGCTGAGGTGGA, ATCGGAGCAGTGGTACAGGAA; BLCAP_v2a: TTTTCTGCTGGACAGGTCGTT, TGCTCTCTGGCTGTCAGCC.
Polymerase chain reaction (PCR) amplifications were carried out with 40 ng of cDNA, 500 nM forward and reverse primer and iTaq SYBR Green Supermix (Bio-Rad Laboratories, Hercules, CA, USA) in a final volume of 20 µl. The PCR reactions were run for 40 cycles consisting of 15 sec denaturation at 95°C, primer annealing for 15 sec at 55°C, and extension for 30 sec at 72°C on a Mastercycler Realplex2 cycler (Eppendorf, Hamburg, Germany). All PCR reactions were prepared in doublets and standardized to the reference gene TATA-Box-binding-Protein (TBP). The level of expression was calculated according to the mathematical model of Pfaffl et al. .
Methylation Analysis using Pyrosequencing®
Double stranded DNA (dsDNA) was extracted from the native samples using standard procedures. Two micrograms of dsDNA were converted using the Epitec Bisulfite Kit® (Qiagen) according to the user manual. Pyrosequencing primers were designed with PyroMark Assay Design Software 2.0 and were as follows (5′−>3′ orientation):
NNAT-promoter: GGGGTAGGTATGGAAAGAGTAGA, AAACCCCCTCAAACTTACCTACAAC, GGTGGAGGGAGGGTATTTAA (sequencing primer); NNAT-CTCF: TGTTTGGGTTTTGTTTAGTAGAGAT, AATACTAAATACAAAACCCTATCCTTAC, GGTTTTGTTTAGTAGAGATTAT (sequencing primer); BLCAP-promoter: AGTTTTTGAGTTTTGGTTGTATGATGAA, AATCCCCTCATACATATACAACAA, GGGGTGGATTTTGAGTTA (sequencing primer); H19-DMR: GTATAGAGTTAGGGGGTTTTTGTATAGTA, CTCCCATAAATATCCTATTCCCAAATA, GGTTTTATAGTTTGGATGGT (sequencing primer). The DNA was amplified by PCR using 50 ng of dsDNA, 500 nM forward and reverse primer, and Maxima HotStart-Taq (Fermentas, Glen Burnie, USA) in a final volume of 15 µl. The PCR reactions were run for 45 cycles consisting of 20 sec denaturation at 95°C, primer annealing for 20 sec at 58.3°C, and extension for 35 sec at 72°C on a Mastercycler Realplex2 cycler (Eppendorf, Hamburg, Germany). PCR products were sequenced on a PyroMark™ Q24 instrument (Qiagen) using sequencing primer and ProMark™ Gold reagent as recommended by the manufacturer. Quantitative analysis of methylation was accomplished using the Pyro Q-CpG Software (Qiagen).
A statistical analysis was carried out with SPSS® v19.0. An explorative analysis was made without correcting p-values for multiple testing. The Mann-Whitney U-Test was used for comparison of gene expression data and methylation status. The relationship between two expression levels was measured by Spearman’s rank correlation.
Gene Expression at the IGF2/H19 and NNAT/BLCAP Imprinted Loci in Wilms Tumor
First, we investigated the transcriptional activity of the genes IGF2 and H19 as well as NNAT and BLCAP in a cohort of 45 WT and normal kidney tissue. IGF2 (p<0.0001) and NNAT (p = 0.0002) were significantly overexpressed, whereas expression of BLCAP (p = 0.0063) was significantly suppressed in tumors compared to healthy kidney tissue (Fig. 1a, d, e). The median H19 expression level did not differ significantly from kidney (p = 0.2701) (Fig. 1b). As different BLCAP transcripts have been described , we further analyzed the expression level of the main v1a and v2a transcripts. Whereas the expression of BLCAP_v1a in tumors did not differ from kidney (p = 0.3076) (Fig. 1g), we found an overexpression of the BLCAP_v2a transcript in a subset of tumors (Fig. 1h). Of note, the BLCAP_v2a transcript was expressed at much lower levels than the BLCAP_v1a transcript.
Figure 1. Relative expression of the genes A) IGF2, B) H19, D) NNAT E) BLCAP, G) BLCAP_v1a, and H) BLCAP_v2a in 45 Wilms tumors and 11 normal kidney tissues, as determined by real-time PCR.
The dots represent relative candidate gene expression in relation to the house-keeping gene TBP. Median expression values are given as red horizontal lines. Association of C) IGF2 and H19, F) NNAT and BLCAP, as well as I) NNAT and BLCAP_v2a gene expression in log2 scale using Spearman’s rank correlation. Data from the tumor and normal kidney cases are depicted as black and orange diamonds, respectively.doi:10.1371/journal.pone.0067605.g001
Next, we correlated the expression level of the genes contained within the imprinted loci to each other using the Spearman`s rank correlation coefficient. We found that expression of IGF2 is negatively associated with that of H19 (p = 0.0003, r = −0.4747) (Fig. 1c), corroborating earlier findings that IGF2 is negatively regulated by H19 , . In contrast, there was no correlation between NNAT and BLCAP (p = 0.7701, r = 0.0424) (Fig. 1f) as well as its v1a transcript (p = 0.1949, r = 0.1619) (not shown). Interestingly, there was a significant correlation between NNAT and BLCAP_v2a expression (p = 0.0045, r = 0.3774) (Fig. 1i) as well as NNAT and IGF2 expression (p<0.001, r = 0.459) (not shown).
DNA Methylation at the IGF2/H19 and NNAT/BLCAP Imprinted Loci in Wilms Tumor
To determine the methylation pattern at the IGF2/H19 locus we established a pyrosequencing assay that analyzes six CpGs inside the H19DMR spanning one CTCF binding site (Fig. 2a). When calculating the mean methylation level across all six CpGs and defining hypo- and hypermethylation as a value of more than 2 standard deviations below and above the mean of the controls, we found all normal kidney samples and 32/45 tumors to display normal methylation values (Fig. 3a), thereby suggesting a monoallelic methylation pattern of the H19DMR in these cases. However, 9 of 45 tumors showed hypermethylation (mean methylation >71.8%), which implies biallelic methylation and, thus, loss of imprinting. Interestingly, we also detected four cases displaying hypomethylation (mean methylation <34.8%). By focusing at each individual CpG, we found that the mean methylation across all tumors was comparable to that of the kidney tissues (Fig. 4a), which is plausible because of tumor cases with normal, hyper- and hypo-methylation. Thus, we repeated the analysis by including only tumors with IGF2 overexpression (n = 20 with >10-fold mean IGF2 expression of kidney), assuming that these tumors should show the strongest methylation differences. Indeed, we detected significantly higher mean methylation levels in tumors compared to normal kidney samples for the six informative CpGs (Fig. 4d).
Figure 2. Schematic illustration of the A) IGF2/H19 and B) NNAT/BLCAP locus.
Transcription starts are indicated by arrows and transcript variants are numbered. The CTCF binding sites (yellow bars) within the A) H19DMR and B) CpG-rich intergenic NNAT region as well as the NNAT and BLCAP promoter used for generating the DNA methylation assays are highlighted as magnifications indicating each CpG dinucleotide under investigation. C) Consensus sequence motif of CTCF-binding sites according to Kim et al. . The height of each letter represents the relative frequency of occurrence of the nucleotide at each position. CTCF motifs 1–4 within the NNAT regulatory region with scores for similarity to the consensus, as determined by the JASPAR software (jaspar.genereg.net). CpGs under investigation are highlighted in black squares.doi:10.1371/journal.pone.0067605.g002
Figure 3. Mean DNA methylation levels at the A) H19DMR, B) the distal NNAT-CTCF binding site, and C) the NNAT promoter in normal kidney and tumor tissues.
Red horizontal lines either depict two standard deviations above or below the mean of the normal controls (A) or the median DNA methylation values (B+C).doi:10.1371/journal.pone.0067605.g003
Figure 4. Mean DNA methylation levels delineated for each CpG at A) and D) the H19DMR, B) and E) the distal NNAT-CTCF binding site, C) and F) the NNAT promoter, and G) the BLCAP promoter in normal kidney (red squares) and tumor tissues (blue diamonds).
A) to C) depict the DNA methylation levels for all tumor and normal kidney cases, whereas D) to F) depict only tumors with >10-fold mean expression of normal kidney for D) IGF2 (n = 22) and E) to F) NNAT (n = 33). Error bars represent the standard deviation of all tumor or kidney sample measurements.doi:10.1371/journal.pone.0067605.g004
To analyze the methylation status of the NNAT/BLCAP locus, we first screened the genomic sequence around the NNAT and BLCAP coding sequence for potential imprinting control regions. We defined two regions of interest that are located inside of CpG islands and presumably lay within the NNAT and BLCAP promoter (Fig. 2b). A third region covers four potential CTCF binding sites 1.5 kb upstream of exon 1 (Fig. 2b+c) of the NNAT gene (Fig. 2b). By analyzing 10 CpGs of the NNAT CTCF binding site by pyrosequencing, we found a dramatic decrease in the overall methylation across all CpGs in the tumor samples (median 40%) versus normal kidney (median 60%) (Fig. 3b). By looking at the individual CpGs, we found considerable variation of methylation levels, ranging from 5%–100% (Fig. 4b). Generally, mean methylation levels were higher in normal kidneys than in tumor tissues, with the most significant differences in CpGs 6–8, which span the core region of the CTCF binding sites. This difference was even more pronounced when we included only tumors with NNAT overexpression (n = 33 with >10-fold mean NNAT expression of kidney) (Fig. 4e), thereby suggesting that hypermethylation of the potential CTCF binding site inside the NNAT CpG islands might play an important role in the physiological regulation of NNAT.
At the NNAT promoter region (Fig. 2b), we also found a strong reduction of the mean methylation level in tumor (median 45%) versus kidney tissues (median 63%) (Fig. 3c). In addition, the mean methylation rates at the individual CpGs differed considerably between normal kidney and tumor tissue, with significantly higher methylation levels in kidney (Fig. 4c). This difference remained nearly unchanged when including only the 33 tumors with NNAT overexpression (Fig. 4f). Interestingly, we detected a high correlation between the methylation of the NNAT CTCF binding site and the NNAT promoter (p<0.0001; r = 0.7234).
In contrast to the CTCF binding site and promoter region of the NNAT gene, the mean methylation at the BLCAP promoter was very low, ranging from 1 to 9%, and showed no differences between tumors and normal kidneys (Fig. 4g).
Correlation of Gene Expression and DNA Methylation at the IGF2/H19 and NNAT/BLCAP Imprinted loci in Wilms Tumor
To investigate the influence of the DNA methylation pattern at the IGF2/H19 and NNAT/BLCAP imprinted loci on the transcriptional activity of the genes, we correlated methylation with expression using the Spearman-rank correlation.
At the IGF2/H19 locus, we revealed a correlation between high methylation levels of the H19DMR and the overexpression of IGF2 (p = 0.0123, r = 0.3447) (Fig. 5a). In sharp contrast, the second gene of interest at this locus, H19, was significantly suppressed by a high methylation level of the H19DMR (p<0.0002, r = −0.4986), as expected at this locus (Fig. 5b).
Figure 5. Association of gene expression and mean methylation of A) IGF2 and H19DMR, B) H19 and H19DMR, C) NNAT and NNAT-CTCF, D) NNAT and NNAT promoter, and E) BLCAP_v2a and NNAT-CTCF using Spearman’s rank correlation.
The data from the tumor and normal kidney cases are depicted as black and orange diamonds, respectively. F) Model of the NNAT/BLCAP locus based on our data depicting suppression of BLCAP_v2a and NNAT in normal kidney due to methylated CpGs in the NNAT-CTCF site and NNAT promoter. Consequently, BLCAP_v2a and NNAT upregulation in Wilms tumors is caused by the demethylation of both regulatory regions. The BLCAP gene is expressed in both tumors and normal kidney due to unmethylted CpGs in its promoter.doi:10.1371/journal.pone.0067605.g005
At the NNAT/BLCAP locus, high methylation levels at both the NNAT CTCF binding site (p<0.0001; r = −0.6385) and the NNAT promoter (p<0.0001; r = −0.6902) were associated with low NNAT expression levels (Fig. 5c+d). Although NNAT is located within the intron of BLCAP, mRNA expression of BLCAP including the BLCAP_v1a transcript was neither influenced by the methylation status of the NNAT-CTCF binding site nor of the NNAT promoter (data not shown). However, expression of the BLCAP_2a transcript was inversely correlated with methylation level at the NNAT CTCF binding site (p<0.0428; r = −0.2728) (Fig. 5e), but not the NNAT promoter (p<0.0580; r = −0.2621) (data not shown).
Overexpression of imprinted genes is a common phenomenon in several embryonal tumors, including WT. We previously speculated that this might be mediated by a yet unknown superordinated mechanism . Here, we report on the comparative analysis of two imprinted genomic regions, the IGF2/H19 and NNAT/BLCAP loci, in regard to gene expression and DNA methylation in a large collection of WT. Both loci were chosen due to the known overexpression of IGF2 and NNAT in embryonal tumors ,  and their key role in embryonic development , . While IGF2 is part of a gene cluster with the H19DMR being responsible for the expression of both IGF2 and H19 , the regulation of NNAT located within the intron of the gene BLCAP is less far understood . Recent studies have postulated a tissue and transcript specific regulation of NNAT and BLCAP in a cluster, at least in the brain .
To date, the functional relevance of CTCF binding in regulating the expression of imprinted genes has been extensively studied at the IGF2/H19 locus , , , but not at the NNAT/BLCAP locus. It is generally accepted that the methylation patterns of binding sites for regulatory proteins are responsible for the transcriptional regulation of many imprinted genes. CTCF is one of the factors that are involved in gene regulation, especially at the H19DMR and is well-studied at this locus , , . By researching the Ensembl database, we detected a regulatory region of the NNAT locus that harbors four putative CTCF binding sites 1.5 kb upstream of the first exon of NNAT (Fig. 2b) and outside of its described promoter . Thus, the aim of our study was to investigate the role of this CTCF binding region in the misregulation of the NNAT gene in WT and compare it to the respective site at the IGF2/H19 locus.
In a first set of experiments we confirmed the well-known overexpression of IGF2 in WT compared to kidney tissues (Fig. 1a and 1d) , , with the expected coordinate downregulation of H19 (Fig. 1b) , , . Moreover, we have shown hypermethylation of the CTCF binding site in 9 WT (Fig. 3a), which is in line with data described in earlier studies , , , . As expected, there was a high correlation between hypermethylation and overexpression of IGF2 (Fig. 5a) and a coordinate downregulation of H19 (Fig. 5b). Using pyrosequencing, we were also able to analyze not only general methylation, but also the methylation of each single CpG in the region of interest, thereby revealing considerable differences with regard to methylation between each single CpG (Fig. 4a+d). However, these differences were only relevant for those tumors with a >10-fold mean expression of normal kidney (Fig. 4d). This could be explained by the inclusion of cases with hyper- and hypomethylation at H19DMR in our calculations (Fig. 1a). Nevertheless, the most significant differences in the degree of methylation were observed at CpGs 1–3 (Fig. 4d). Altogether, these data qualified our cohort of WT patients to be representative.
Next, we analyzed the transcriptional activity of NNAT and BLCAP in our samples. We thereby replicated the previously described overexpression of NNAT , , . Aberrant transcriptional activity of NNAT has been reported in other tumors such as glioblastomas , neoplasms of eccrine, apocrine and sebaceous glands , malignant peripheral nerve sheath tumors , and others. Xu et al. described a correlation of NNAT overexpression and increased cell proliferation in glioblastomas associated with poorer outcome . In contrast, BLCAP was generally suppressed in WT (Fig. 1e), when we simultaneously measured all transcript isoforms. However, by analyzing the expression of the two main BLCAP transcripts v1a and v2a that have their transcription starts either 5′ or 3′ of the NNAT gene we detected a more differentiated transcriptional activity. We found comparable expression levels of BLCAP_v1a in WT and normal kidneys, whereas the BLCAP_v2a transcript was overexpressed in a subset of tumors, even at very low levels (Fig. 1e, h). Analogous, we have seen a correlation of the NNAT and BLCAP_v2a expression (Fig. 1i). This may be explained by the postulated paternal expression of both, NNAT and BLCAP_v2a, while BLCAP_v1a seems to be maternally expressed . Moreover, this finding suggests that NNAT and BLCAP_v2a might be regulated together by a shared regulatory element.
Indeed, we qualified a small region containing potential CTCF sites to be highly correlated with the expression of NNAT and BLCAP_v2a. The mean level of methylation of the potential CTCF binding sites and the promoter was lower in tumors compared to kidney tissues (Fig. 3b+c). Thus, our data suggest that the majority of WT exhibit hypomethylation of these two sites. This is contrary to findings in pituitary adenoma, which are characterized by a hypermethylation of adjacent CpG islands and a downregulation of NNAT . This might be explained by the finding that the pituitary gland is the only adult tissue with high transcriptional activity of NNAT . From the mechanistically point of view, our data are in accordance with Revill et al. showing a strong association of hypermethylation and gene silencing for the promoter and, even more interestingly, with the newly described potential CTCF binding site. While all of the promoter CpGs had a lower mean level of methylation in tumors (Fig. 4c+f), methylation especially of CpGs 6–8 containing three of the four potential CTCF binding sites, considerably differed from kidney tissue (Fig. 4b+e). As seen at H19DMR (Fig. 4a+d), these differences are intensified when we look at tumors with relevant increased expression levels (Fig. 4e). However, since the methylation status of both the potential CTCF binding site and the promoter are correlated with the level of expression (Fig. 5c–d), we cannot discriminate the influence of each individual regulatory element on gene regulation. In addition, we found no methylation of the BLCAP promoter, which is in line with data from fetal brain and other tissues , thereby explaining the general expression of BLCAP in both the tumors and the normal kidney tissues.
Finally, because CTCF functions as an insulator , ,  and the NNAT CTCF binding site is placed inside a BLCAP intron, a potential influence on BLCAP expression can be assumed. However, there was no correlation of the total BLCAP and BLCAP_v1a expression with methylation at the potential NNAT CTCF binding site. However, the BLCAP_v2a transcript was expressed in tumors only and was correlated with the NNAT expression as well as the methylation of the NNAT CTCF binding site. These findings corroborate the results of Schulz et al. , which described a transcript and tissue specific imprinting of the NNAT/BLCAP locus. Nevertheless, the reactivation of NNAT and other imprinted genes may be attributed to genome-wide altered methylation of regulatory binding sites. The question of whether the potential NNAT CTCF binding site in WT has never been methylated and mirrors the embryonic state rather than being actively demethylated during tumorigenesis cannot be answered to date.
In conclusion, our data suggest that, in contrast to the IGF2/H19 locus, hypomethylation of regulatory elements are associated with NNAT overexpression. We have shown that differences in methylation are most prominent at a few CpGs covering potential CTCF binding sites, whereas differential methylation of the NNAT promoter region is evident over a large proportion. This might lead to the concomitant overexpression of NNAT and BLCAP_v2a transcripts in WT, while leaving the general expression of BLCAP unaffected. Thus, the process of aberrant methylation in WT seems to be a targeted and site-specific process that impacts selected regulatory sites rather than a general ongoing mechanism acting throughout the genome. This suggests that methylating enzymes may be reliant on motifs in the DNA.
We are grateful to Nicole Stadler and Fatemeh Promoli for their great technical assistance.
Conceived and designed the experiments: JH FZ RK. Performed the experiments: FT JH FZ. Analyzed the data: JH FZ RK. Contributed reagents/materials/analysis tools: JH FZ JM. Wrote the paper: JH RK. Performed the operations and sampled the antive specimens: MS DvS.
- 1. Lewis A, Reik W (2006) How imprinting centres work. Cytogenet Genome Res 113: 81–89 doi:10.1159/000090818.
- 2. Hubertus J, Lacher M, Rottenkolber M, Müller-Höcker J, Berger M, et al. (2011) Altered expression of imprinted genes in Wilms tumors. Oncol Rep 25: 817–823 doi:10.3892/or.2010.1113.
- 3. Ulaner GA, Vu TH, Li T, Hu J-F, Yao X-M, et al. (2003) Loss of imprinting of IGF2 and H19 in osteosarcoma is accompanied by reciprocal methylation changes of a CTCF-binding site. Hum Mol Genet 12: 535–549. doi: 10.1093/hmg/ddg034
- 4. Cui H, Niemitz EL, Ravenel JD, Onyango P, Brandenburg SA, et al. (2001) Loss of imprinting of insulin-like growth factor-II in Wilms’ tumor commonly involves altered methylation but not mutations of CTCF or its binding site. Cancer Research 61: 4947–4950.
- 5. Astuti D, Latif F, Wagner K, Gentle D, Cooper WN, et al. (2005) Epigenetic alteration at the DLK1-GTL2 imprinted domain in human neoplasia: analysis of neuroblastoma, phaeochromocytoma and Wilms’ tumour. Br J Cancer 92: 1574–1580 doi:10.1038/sj.bjc.6602478.
- 6. Davidoff AM (2012) Wilms Tumor. Advances in Pediatrics 59: 247–267 doi:10.1016/j.yapd.2012.04.001.
- 7. Li C-M, Guo M, Borczuk A, Powell CA, Wei M, et al. (2002) Gene expression in Wilms’ tumor mimics the earliest committed stage in the metanephric mesenchymal-epithelial transition. Am J Pathol 160: 2181–2190 doi:10.1016/S0002-9440(10)61166-2.
- 8. Wittmann S, Wunder C, Zirn B, Furtwängler R, Wegert J, et al. (2008) New prognostic markers revealed by evaluation of genes correlated with clinical parameters in Wilms tumors. Genes Chromosomes Cancer 47: 386–395 doi:10.1002/gcc.20544.
- 9. Nakagawa H, Chadwick RB, Peltomaki P, Plass C, Nakamura Y, et al. (2001) Loss of imprinting of the insulin-like growth factor II gene occurs by biallelic methylation in a core region of H19-associated CTCF-binding sites in colorectal cancer. Proc Natl Acad Sci USA 98: 591–596 doi:10.1073/pnas.011528698.
- 10. Ohlsson R, Cui H, He L, Pfeifer S, Malmikumpu H, et al. (1999) Mosaic allelic insulin-like growth factor 2 expression patterns reveal a link between Wilms’ tumorigenesis and epigenetic heterogeneity. Cancer Research 59: 3889–3892.
- 11. Fukuzawa R, Breslow NE, Morison IM, Dwyer P, Kusafuka T, et al. (2004) Epigenetic differences between Wilms’ tumours in white and east-Asian children. Lancet 363: 446–451 doi:10.1016/S0140-6736(04)15491-3.
- 12. Wang WH, Duan JX, Vu TH, Hoffman AR (1996) Increased expression of the insulin-like growth factor-II gene in Wilms’ tumor is not dependent on loss of genomic imprinting or loss of heterozygosity. J Biol Chem 271: 27863–27870. doi: 10.1074/jbc.271.44.27863
- 13. Evans HK, Wylie AA, Murphy SK, Jirtle RL (2001) The neuronatin gene resides in a “micro-imprinted” domain on human chromosome 20q11.2. Genomics 77: 99–104 doi:10.1006/geno.2001.6612.
- 14. Schulz R, McCole RB, Woodfine K, Wood AJ, Chahal M, et al. (2009) Transcript- and tissue-specific imprinting of a tumour suppressor gene. Hum Mol Genet 18: 118–127 doi:10.1093/hmg/ddn322.
- 15. de Kraker J, Graf N, van Tinteren H, Pein F, Sandstedt B, et al. (2004) Reduction of postoperative chemotherapy in children with stage I intermediate-risk and anaplastic Wilms’ tumour (SIOP 93–01 trial): a randomised controlled trial. Lancet 364: 1229–1235 doi:10.1016/S0140-6736(04)17139-0.
- 16. Pfaffl MW (2001) A new mathematical model for relative quantification in real-time RT-PCR. Nucleic Acids Research 29: 2002–2007. doi: 10.1093/nar/29.9.e45
- 17. Edwards CA, Ferguson-Smith AC (2007) Mechanisms regulating imprinted genes in clusters. Curr Opin Cell Biol 19: 281–289 doi:10.1016/j.ceb.2007.04.013.
- 18. Dekel B, Metsuyanim S, Schmidt-Ott KM, Fridman E, Jacob-Hirsch J, et al. (2006) Multiple imprinted and stemness genes provide a link between normal and tumor progenitor cells of the developing human kidney. Cancer Research 66: 6040–6049 doi:10.1158/0008-5472.CAN-05-4528.
- 19. Wijnholds J, Chowdhury K, Wehr R, Gruss P (1995) Segment-specific expression of the neuronatin gene during early hindbrain development. Dev Biol 171: 73–84 doi:10.1006/dbio.1995.1261.
- 20. Szabó PE (2012) More than insulator: multiple roles of CTCF at the H19-Igf2 imprinted domain: 1–9. doi:10.3389/fgene.2012.00214/abstract.
- 21. Ideraabdullah FY, Abramowitz LK, Thorvaldsen JL, Krapp C, Wen SC, et al. (2011) Novel cis-regulatory function in ICR-mediated imprinted repression of H19. Dev Biol 355: 349–357 doi:10.1016/j.ydbio.2011.04.036.
- 22. Ishihara K, Oshimura M, Nakao M (2006) CTCF-Dependent Chromatin Insulator Is Linked to Epigenetic Remodeling. Molecular Cell 23: 733–742 doi:10.1016/j.molcel.2006.08.008.
- 23. Dugu L, Hayashida S, Nakahara T, Xie L, Iwashita Y, et al. (2010) Aberrant expression of tenascin-c and neuronatin in malignant peripheral nerve sheath tumors. Eur J Dermatol 20: 580–584 doi:10.1684/ejd.2010.0996.
- 24. Xu DS, Yang C, Proescholdt M, Bründl E, Brawanski A, et al. (2012) Neuronatin in a subset of glioblastoma multiforme tumor progenitor cells is associated with increased cell proliferation and shorter patient survival. PLoS ONE 7: e37811 doi:10.1371/journal.pone.0037811.
- 25. Dugu L, Takahara M, Tsuji G, Iwashita Y, Liu X, et al. (2010) Abundant expression of neuronatin in normal eccrine, apocrine and sebaceous glands and their neoplasms. J Dermatol 37: 846–848 doi:10.1111/j.1346-8138.2010.00873.x.
- 26. Revill K, Dudley KJ, Clayton RN, McNicol AM, Farrell WE (2009) Loss of neuronatin expression is associated with promoter hypermethylation in pituitary adenoma. Endocr Relat Cancer 16: 537–548 doi:10.1677/ERC-09-0008.
- 27. Singh P, Lee D-H, Szabó PE (2012) More than insulator: multiple roles of CTCF at the H19-Igf2 imprinted domain. Front Gene 3. doi:10.3389/fgene.2012.00214.
- 28. Kim TH, Abdullaev ZK, Smith AD, Ching KA, Loukinov DI, et al. (2007) Analysis of the Vertebrate Insulator Protein CTCF-Binding Sites in the Human Genome. Cell 128: 1231–1245 doi:10.1016/j.cell.2006.12.048.