Allele-specific enhancer interaction at the Peg3 imprinted domain
Authors:
Joomyeong Kim aff001; Wesley D. Frey aff001; Kaustubh Sharma aff001; Subash Ghimire aff001; Ryoichi Teruyama aff001; Lisa Stubbs aff002
Authors place of work:
Department of Biological Sciences, Louisiana State University, Baton Rouge, Louisiana, United States of America
aff001; Cell and Developmental Biology, Institute for Genomic Biology, University of Illinois, Urbana, Illinois, United States of America
aff002
Published in the journal:
PLoS ONE 14(10)
Category:
Research Article
doi:
https://doi.org/10.1371/journal.pone.0224287
Summary
The parental allele specificity of mammalian imprinted genes has been evolutionarily well conserved, although its functional constraints and associated mechanisms are not fully understood. In the current study, we generated a mouse mutant with switched active alleles driving the switch from paternal-to-maternal expression for Peg3 and the maternal-to-paternal expression for Zim1. The expression levels of Peg3 and Zim1, but not the spatial expression patterns, within the brain showed clear differences between wild type and mutant animals. We identified putative enhancers localized upstream of Peg3 that displayed allele-biased DNA methylation, and that also participate in allele-biased chromosomal conformations with regional promoters. Most importantly, these data suggest for the first time that long-distance enhancers may contribute to allelic expression within imprinted domains through allele-biased interactions with regional promoters.
Keywords:
DNA methylation – Mammalian genomics – Polymerase chain reaction – Hypothalamus – DNA isolation – Immunostaining – Genomic imprinting – BAC cloning
Introduction
In eutherians, a subset of genes is expressed mainly from one parental allele due to an epigenetic mechanism termed genomic imprinting; there are about 100–200 imprinted genes in mammalian genomes [1,2]. The mono-allelic expression and parental-allele specificity have been well preserved for most imprinted genes during eutherian evolution, although the biological impetus for this dosage and allele specificity is not fully understood. The majority of imprinted genes are expressed in embryos, placentas and brain, and genetic studies have further demonstrated roles in controlling fetal growth rates and maternal-caring behaviors [1,2]. The majority of imprinted genes are found only in the eutherian mammals, and it has been conjectured that genomic imprinting may have emerged in the eutherian lineage to cope with viviparity and placentation [3–6]. Imprinted genes tend to be clustered in specific regions of chromosomes, forming imprinted domains, which are regulated through small genomic regions termed ICRs (Imprinting Control Regions). Genetic studies have also demonstrated that mutations within these ICRs usually disrupt the imprinting and transcription of the individual genes [1,2]. It is, however, currently unknown what other types of DNA elements may be involved in the allelic expression of imprinted genes besides the known ICRs.
The Peg3 imprinted domain is localized in a 500-kb genomic interval in human chromosome 19q13.4/proximal mouse chromosome 7 that is evolutionarily well conserved among mammals [7–10]. This domain contains paternally expressed Peg3, Usp29, Zfp264, APeg3 and maternally expressed Zim1, Zim2, Zim3 (Fig 1) [10]. As seen in other domains, the imprinting of this domain is controlled through an ICR, the Peg3-DMR (Differentially Methylated Region), which encompasses a 4-kb genomic interval containing the bidirectional promoter for Peg3 and Usp29 [11]. According to the results from a mutant allele termed KO2, deletion of this ICR results in complete abrogation of the transcription of paternally expressed Peg3 and Usp29, and the concurrent biallelic expression of Zim1 through reactivation of its paternal allele [12]. The maternal-specific DNA methylation of this ICR is established during oogenesis through unknown transcription-mediated mechanisms involving an oocyte-specific alternative promoter called U1, which is localized 20-kb upstream of the Peg3-DMR [13]. Maternal deletion of this upstream promoter causes complete removal of oocyte-specific DNA methylation on the ICR, resulting in biallelic expression of Peg3/Usp29 [14]. Overall, this series of studies demonstrated that the imprinting of the Peg3 domain is mediated through the Peg3-DMR and the U1 alternative promoter.
Besides the two regulatory regions, the Peg3 domain also contains a large number of evolutionarily conserved regions (ECRs) that are localized in the middle 200-kb transcribed region of Usp29 [15,16]. These ECRs are usually marked with two histone modifications, H3K4me1 (mono-methylation on lysine 4 of histone 3) and H3K27ac (acetylation on lysine 27 of histone 3), suggesting potential enhancer roles for the transcription of Peg3 domain. One ECR, ECR18, has been shown to physically interact with the promoter of Peg3/Usp29, and also recently demonstrated to be a shared enhancer between the paternally expressed Peg3/Usp29 and the maternally expressed Zim1 [17]. However, the functional contribution of the majority of these ECRs to the imprinting of the Peg3 domain has not been examined. Recently, we have been able to derive a mouse mutant line with the switching of active alleles, which is driving the maternal expression of Peg3/Usp29 and the paternal expression of Zim1 [18]. Interestingly, initial investigation of this mutant revealed differences in the expression levels and patterns of genes in the Peg3 domain. In the current study, we further characterized these expression differences with various experimental approaches. The results suggest that the putative enhancers localized upstream of Peg3 may be responsible for the observed differences. Further, these enhancers are allele-biased, suggesting that they contribute to allele-specific expression within the Peg3 domain.
Results
Generation of the Peg3/Zim1 mutant with switched active alleles
To generate the mutant with switched active alleles, we used the following mouse breeding scheme involving two mutant alleles, U1 and KO2, targeting the U1 alternative promoter and the Peg3-DMR, respectively (Fig 1). Maternal and paternal transmission of U1 and KO2 mutant alleles is predicted to derive the following 4 genotypes. The first group, referred herein as ‘WT’, inherits the WT allele from both parents, thus maintaining the normal paternal and maternal expression of Peg3/Usp29 and Zim1, respectively (Fig 1B). The second group inherits maternal WT and paternal KO2, subsequently no expression of Peg3/Usp29 but biallelic expression of Zim1. The third group inherits maternal U1 and paternal WT, thus biallelic expression of Peg3/Usp29 but no expression of Zim1. Finally, the fourth group, referred as ‘U1/KO2’, inherits maternal U1 and paternal KO2, deriving the maternal and paternal expression of Peg3/Usp29 and Zim1, respectively, which are opposite to the parental-specific expression of the imprinted genes in the WT group (Fig 1B). With this breeding scheme, 10 female heterozygotes for U1 were crossed with 5 male heterozygotes for KO2, producing a total of 158 pups for 18 litters with the average litter size being 8.72. According to the initial results, these four genotypes were all equally represented among the surviving pups, suggesting no major embryonic lethality associated with any of these four genotypes [18]. Among these four groups, the pups belonging to the two groups, WT and U1/KO2, were further analyzed in the current study: 32 pups (15 females and 17 males) for WT and 36 pups (21 females and 15 males) for U1/KO2 (Fig 1B). More detailed results regarding the breeding experiments are available from the previous study [18].
Expression level comparison between WT and U1/KO2
The two groups of pups were analyzed in the following manner. We performed a series of qRT-PCR analyses to compare the expression levels of Peg3 and Zim1 between WT and U1/KO2 mice (Fig 2). This series of analyses did not include the remaining 5 imprinted genes, Usp29, APeg3, Zim2, Zim3 and Zfp264, mainly due to their very low expression levels in the adult tissues that had been selected for the current study. A set of 15 tissues was harvested from each of the 8 adult 2-month-old mice, representing two WT and two U1/KO2 with both sexes (WT-F and WT-M, UK-F and UK-M with UK used as an abbreviation for the U1/KO2 genotype in Fig 2). We isolated total RNA and prepared cDNA from the following tissues: hypothalamus, olfactory bulb, cortex, cerebellum, kidney, and gonadal fat (Fig 2 and S1–S3 Files). The results derived from this series of expression analyses are summarized as follows.
First, the expression levels of Peg3 were 12% higher in the hypothalamus of U1/KO2 than WT (Mann-Whitney U test, p-value < 0.00001; Fig 2A). This was also the case for Zim1, exhibiting 27% higher expression levels in U1/KO2 than in WT (Mann-Whitney U test, p-value < 0.00001). Second, the expression levels of Peg3 and Zim1 were lower in two other regions of the brain, including the olfactory bulbs and cerebellum. In the case of olfactory bulbs, the expression levels of Peg3 and Zim1 were 12% and 15% lower in U1/KO2 than in WT (Mann-Whitney U test, p-value = 0.03 for Peg3 and p-value = 0.0012 for Zim1; Fig 2B). This was also the case for cerebellum with Peg3 and Zim1 showing 22% and 18% lower levels in U1/KO2 than in WT (Mann-Whitney U test, p-value < 0.00001 for Peg3 and p-value = 0.0455 for Zim1; S1 File). On the other hand, the expression levels of Peg3 and Zim1 in cortex were indistinguishable mainly due to large variation among individuals with the same genotype and sex (S1 File).
Third, compared to the different brain regions, expression level differences of Peg3 and Zim1 between WT and U1/KO2 were neither obvious nor uniform in the other adult tissues, including kidney and gonadal fat (S2 File). In the case of these two tissues, the male set seemed to show some difference between WT and U1/KO2, whereas the female set did not yield any major difference. In the male kidney, the expression levels of Peg3 and Zim1 were significantly higher in U1/KO2 than in WT (26% for Peg3 and 61% for Zim1). In the male gonadal fat, on the other hand, the expression levels of Peg3 and Zim1 were significantly lower in U1/KO2 than in WT (37% for Peg3 and 43% for Zim1; S2 File). Although the observed differences in these two tissues were more dramatic than those observed from the brain regions, the expression levels of Peg3 and Zim1 were 10 to 100-fold lower in these non-neuronal tissues than in the brain regions based on the relative Ct (threshold cycle) values detected through qRT-PCR analyses. Thus, the differences observed in the brain regions might be still more functionally significant than those from the non-neuronal tissues. Fourth, we also analyzed the expression levels of several genes that are expressed and closely linked to the functions of Peg3, including Avp, Oxt, Oxtr and Ghrh in the hypothalamus set (S3 File). The expression levels of these genes were all higher in U1/KO2 than in WT, although this pattern was detected mainly in the female set. This sex-biased pattern agrees with those observed from the previous study, showing more obvious up-regulation of these genes in the female set [18]. Overall, the expression levels of Peg3 and Zim1 displayed clear differences between WT and U1/KO2 in several adult tissues, particularly in the three regions of adult brain, including the hypothalamus, olfactory bulbs and cerebellum.
Spatial expression pattern of Zim1 between WT and U1/KO2
The known functions of Peg3 are closely associated with the physiological roles played by the hypothalamus, including milk provision, neonatal growth, and nurturing behaviors [19–22]. The expression levels of both Peg3 and Zim1 in the hypothalamus are also the highest among the different regions of the adult brains. Thus, we previously performed an initial series of immunostaining experiments to monitor the spatial expression patterns of Peg3 with the sectioned samples prepared from the four genotypes. The data revealed the overall ubiquitous expression of Peg3 within the adult brains, with no major difference in the spatial expression patterns among the 4 genotypes [18]. To expand on these previous results, we performed a similar series of immunostaining experiments to monitor the spatial expression patterns of Zim1, which are known to be more restricted than those of Peg3 in terms of developmental stage and tissue specificity [23]. This series of immunostaining experiments used a set of 8 adult 2-month-old mice representing each of the four genotypes with both sexes. The harvested brains were sectioned and subsequently immunostained with an anti-ZIM1 polyclonal antibody (Fig 3 and S4 File). The results from this series of analyses are as follows. First, the main expression sites of Zim1 within the hypothalamus include the paraventricular nucleus (PVN), supraoptic nucleus (SON), and the ependymal cells of the 3rd ventricles. The detection in the ependymal cells appeared to be unique to Zim1, since similar expression patterns have not been observed from the immunostaining with anti-PEG3 antibody [18,24]. In contrast, the expression patterns within the PVN and SON were very similar to those observed from Peg3. This similar pattern between Peg3 and Zim1 also supports the prediction that these two genes may share long-distance enhancers. According to the surveys of the ENCODE dataset and also our own results [16], the middle 200-kb region has the majority of potential enhancers within this imprinted domain. Thus, we believe that the shared enhancers are likely localized within the middle 200-kb region. (Fig 4) [15,16]. Second, the spatial expression patterns of Zim1 were also similar with no major difference between WT and U1/KO2: both groups displayed the highest expression within PVN, SON and the ependymal cells (Fig 3). Thus, the spatial expression patterns of Zim1 within the hypothalamus were not affected by switching of the active allele, from maternal to paternal. This further suggests that allele switching does not disturb the transcriptional programs that direct the spatial expression pattern of Zim1, at least within the adult hypothalamus.
DNA methylation levels of ECRs
To further characterize the expression difference of Peg3 and Zim1 between the two genotypes, we tested potential involvement of the 19 ECRs that are localized in the 200-kb upstream region of Peg3 (Fig 4). As an initial step, we measured the allele-specific DNA methylation levels of the ECRs with the following strategy. In brief, F1 hybrid mice derived from the crossing of male PWD/PhJ and female C57BL/6J were used to differentiate the maternal and paternal allele using single nucleotide polymorphisms (SNPs) detected between the two strains. Genomic DNA isolated from neonatal brains was first treated with bisulfite conversion protocol [25,26], and subsequently amplified with the 6 individual sets of primers targeting the following ECRs: ECR2, ECR3, ECR9, ECR11, ECR17, and ECR19. The remaining ECRs were not included in the current survey, since they do not have more than 3 CpG sites or SNPs between C57BL/6J and PWD/PhJ. The amplified PCR products were individually cloned and sequenced. The results are summarized as follows. First, ECR2, ECR3, ECR9 and ECR19 displayed relatively low levels of DNA methylation in neonatal brain, ranging from 8 to 37%. In contrast, ECR11 and ECR17 showed high levels of DNA methylation, ranging from 64 to 98%. Second, ECR2 and ECR17 exhibited different levels of DNA methylation between two alleles. Both showed higher levels of DNA methylation in the maternal than paternal alleles: 37% vs 27% for ECR2 (Mann-Whitney U test, p-value = 0.07078) and 83% vs 64% for ECR17 (Mann-Whitney U test, p-value = 0.0476). These methylation level differences for ECR2 and ECR17 appeared to be significant, although the functional relevance is currently unknown. Overall, some of the ECRs maintain different levels of DNA methylation between the two alleles, supporting the possibility that this subset of ECRs may contribute to the allele-specific expression of the imprinted genes in the Peg3 domain.
Chromosomal conformation comparison between WT and U1/KO2
We further tested potential involvement of ECRs in the allele-specific expression of the Peg3 domain with the Chromosomal Conformation Capture protocol (3C), in which potential interactions between promoters and enhancers can be determined for a given genomic interval [27,28]. For this series of experiments, we used the following strategy. We designed a set of oligonucleotides that are derived from the regions 100 bp-downstream of NcoI sites, which were then named after the adjacent ECRs (vertical blue lines in Fig 5). We also included the two primers that are derived from the promoter regions of Peg3 and Zim1, which were subsequently used as anchor or base primers for PCR amplification (Zim1p and Peg3p primers). The amplification efficiency of these ECR primers with each of two base primers were tested using the template DNA that had been prepared through digestion and re-ligation of the genomic DNA isolated from the two BAC clones covering this 200-kb interval with minimal overlap (upper gel panel in Fig 5) [15]. For the actual 3C experiments, we used three sets of individual tissues—neonatal brains, adult hypothalamus and placenta—harvested from WT and U1/KO2 mice. The 3C libraries from each tissue were first analyzed with a fixed number of PCR cycles (middle and bottom gel panels in Fig 5), which were then analyzed with qPCR. To monitor the quality of each library, we also used an independent set of primers as an internal control, which is designed to detect potential interactions between the promoter and 130-kb upstream enhancer of the Snrpn locus (S7 and S8 Files).
The results derived from this series of 3C experiments are summarized as follows. In WT-neonatal brain samples, the overall enrichment levels of PCR products detecting potential ECR’s interactions with the promoter of Peg3 were generally greater than those with the promoter of Zim1 (middle panels in Fig 5; blue versus red bars in Fig 6A). This may reflect the fact that the promoter activity of Peg3 is stronger than that of Zim1 in vivo. The observed ECR’s interaction with Peg3 and Zim1 are also likely allele-specific: Peg3 on the paternal and Zim1 on the maternal allele. This is based on the results from a set of independent 3C with the neonatal brains of KO2 pups lacking the active paternal allele of Peg3 (Fig 1), which showed no detectable enrichment with the promoter of Peg3, but much greater levels of enrichment with the promoter of Zim1 (S9 File). Also, the enrichment levels with the promoter of Peg3 were quite variable among individual ECRs: three ECRs, ECR17, ECR18, and ECR19, showed much greater levels of enrichment than the remaining ECRs (Fig 6A). By contrast, the enrichment levels with the promoter of Zim1 were overall similar between individual ECRs. Finally, the overall enrichment patterns detected from the WT samples were quite different from those observed from the U1/KO2 samples (Fig 6B). It is notable that the enrichment levels at ECR17, ECR18, and ECR19 become somewhat similar between the promoters of Peg3 and Zim1. On the other hand, the enrichment levels at ECR10 and ECR16 showed much greater levels of interaction with both Peg3 and Zim1 promoters in the U1/KO2 than in WT samples.
For each ECR, the enrichment levels of a given promoter were further compared between two alleles (Fig 7). This series of comparisons was feasible, since the two 3C libraries from the WT and U1/KO2 samples displayed a similar range of Ct values, 32.7 and 32.1, respectively, at the internal control Snrpn locus. According to the results, the following four types of enrichment or interaction patterns were observed among individual ECRs. The first type showed greater levels of the enrichment on the paternal allele with the promoters of both genes (A). This type includes ECR7, ECR11 and ECR17. The second type also displayed greater levels of enrichment on the paternal allele but only with the promoter of Peg3 (B). The third type showed similar levels of the enrichment between the two alleles, thus biallelic interaction (C). Finally, the fourth type tended to show higher enrichment levels on the switched alleles with both promoters: the maternal allele for Peg3 and the paternal allele for Zim1. This type includes ECR3, ECR10, and ECR16 (D). In this case, some properties associated with these ECRs might have been affected or changed by the switching of active alleles of two promoters. Thus, these ECRs tend to show greater levels of enrichment with the newly activated promoters: Peg3 on the maternal allele and Zim1 on the paternal allele. On the other hand, the first two types (A, B) tend to maintain greater levels of enrichment on the paternal allele, and thus paternal-biased. These four types of the enrichment patterns were also observed from the samples prepared from the hypothalamus of 2-month-old adult mice, but not from the samples from the placentas (S5–S7 Files). In the case of 14.5-dpc (days post coitum) placenta, the interaction seemed to be mostly biallelic except the paternal-biased enrichment at three ECRs, ECR11, ECR17 and ECR18 (S6 and S7 Files). Thus, the observed four types of enrichment patterns may be tissue-specific, mostly detected in the neuronal tissues. This series of 3C analyses were repeated with two additional sets of neonatal brains, including one female set, which were shown to be reproducible. Overall, the ECRs indeed interact with the promoters of Peg3 and Zim1, and also a subset of ECRs, including ECR7, ECR11, ECR17 and ECR19, tend to interact better or more frequent on the paternal than maternal alleles.
Discussion
In the current study, we compared the expression levels and patterns of Peg3 and Zim1 in WT mice and U1/KO2 animals with switched active alleles. We found that the expression levels of Peg3 and Zim1 were altered in the U1/KO2 mice, suggesting functional non-equivalence between the two alleles. Follow-up studies further identified ECRs localized upstream of Peg3 that are allele-biased, in terms of both DNA methylation levels and interactions with the promoters of Peg3 and Zim1 (Fig 8). Thus, this suggests that some long-distance enhancers also contribute to the allelic expression of genes within the Peg3 domain, in addition to known DMRs and the promoters.
The results from expression profiling demonstrated that two imprinted genes, Peg3 and Zim1, showed clear differences between two alleles (Fig 2). The differences were more obvious within the three regions of adult brain, including the hypothalamus, olfactory bulbs and cerebellum. Interestingly, the expression level changes were not unidirectional among these brain regions: the expression levels of Peg3 and Zim1 were slightly greater in the hypothalamus, but lower in the olfactory bulbs and cerebellum of the U1/KO2 animals (Fig 2 and S1 File). On the other hand, two independent series of immunostaining experiments demonstrated that the spatial expression patterns of Peg3 and Zim1 within the hypothalamus were overall similar between WT and U1/KO2 (Fig 3), suggesting that the switching of active alleles does not interfere with transcriptional programs directing the spatial expression patterns of Peg3 and Zim1. This finding further suggests that the expression level differences occur within the same set of cells, but not from ectopic expression of Peg3 and Zim1 in U1/KO2 mice. Nonetheless, we cannot rule out the possibility that there may be some subtle differences in the spatial expression patterns of Peg3 and Zim1 in U1/KO2 mice, but in a very cell-type-specific manner within the hypothalamus. This is further supported by the fact that the expression levels of the hormonal genes, Oxt, Avp, and Ghrh, of the hypothalamus exhibited differences between WT and U1/KO2 (S3 File). The latter gene in particular is consistent with the previous observation that the switching resulted in the increased and decreased body weights among the females and males, respectively, at weaning age [18], indicating effects of the switching on growth hormone pathways. Although unlikely, however, we cannot rule out another possibility that some of the observed differences might be caused by some unknown effects of the two mutant alleles, U1 and KO2, that have been used for the switching. Overall, the switching of active alleles appeared to cause clear changes in the expression levels of Peg3 and Zim1, and suggested that some regions other than the promoters of Peg3 and Zim1 might differ in activity and function between two alleles.
In particular, our results show that several ECRs localized upstream of Peg3 do indeed differ in terms of DNA methylation and promoter interaction between the two alleles, and that their altered activity may be responsible for the observed differences between WT and U1/KO2 (Figs 4–7). DNA methylation analyses indicated that two ECRs, ECR2 and ECR17, exhibited slightly lower levels of DNA methylation on the paternal than maternal allele (Fig 4). Furthermore, 3C experiments demonstrated that the interaction of four ECRs—ECR7, ECR11, ECR17 and ECR19—with the promoters of Peg3 and Zim1 tend to be stronger or more frequent on the paternal than maternal allele (Fig 7). This suggests that some unknown properties associated with these ECRs may be biased toward the paternal allele (Fig 8). The molecular nature of these paternal-biased properties is currently unknown; however, the bias is likely to be due to epigenetic modifications, since the two alleles of these ECRs are identical in terms of DNA sequence. Consistent with this prediction, these ECRs are indeed associated with two histone marks, H3K4me1 and H3K27ac [15,16]. According to recent studies involving ATAC-seq, the open chromatin structure of some of these ECRs turns out to be also allele-biased in the neural precursor cells: maternal-biased open structure for ECR2 and ECR17 and paternal-biased open structure for ECR19 [29]. Interestingly, the pioneer factor MyoD, a well-known E-box-binding protein, has been shown to bind to a subset of ECRs, yet the list of the target sites identified within the Peg3 domain overlaps quite well with the three ECRs, including ECR7, ECR11, ECR17 [16]. This overlap may not be a simple coincidence, but rather a strong hint suggesting some shared features among these ECRs. In this case, the paternal biased properties described in this study may be one of these shared features. Overall, the identification of the paternal-biased ECRs from the Peg3 domain is a novel and significant finding, opening door to new insights regarding potential mechanisms for the monoallelic or allele-biased expression patterns that are frequently associated with mammalian genomes [30,31].
Materials and methods
Ethics statement
All the experiments related to mice were performed in accordance with National Institutes of Health guidelines for care and use of animals, and also approved by the Louisiana State University Institutional Animal Care and Use Committee (IACUC), protocol #16–060.
Mouse breeding
In the current study, we used two mutant strains that have been previously characterized, Peg3KO2/+ and Peg3U1/+ strains [12,14]. Female heterozygotes for Peg3U1/+ were crossed with male heterozygotes for Peg3KO2/+. The subsequent pups were analyzed in terms of sex and genotype. For genotyping, genomic DNA was isolated from either clipped ears or tail snips by incubating the tissues overnight at 55°C in the lysis buffer (0.1 M Tris-Cl, pH 8.8, 5 mM EDTA, pH 8.0, 0.2% SDS, 0.2 M NaCl, 20 μg/ml Proteinase K). The isolated DNA was subsequently genotyped using the following set of primers: for the KO2 allele, Primer A (5’-TGACAAGTGGGCTTGCTGCAG-3’), B (5’-GGATGTAAGATGGAGGCACTGT-3’), and D (5’-AGGGGAGAACAGACTACAGA-3’); for the U1 allele, P1 (5’-TAGCAAGGGAGAGGGCCTAG-3’), P2 (5’-GGAAGCCTCCATCCGTTTGT-3’), and P3 (5’-AGCACAGCTAGAAATACACAGA-3’). The sex of the pups was determined through PCR using the following primer set: mSry-F (5’-GTCCCGTGGTGAGAGGCACAAG-3’) and mSry-R (5’-GCAGCTCTACTCCAGTCTTGCC-3’).
RNA isolation, cDNA synthesis, and qRT-PCR analyses
Total RNA was isolated from the various tissues of adult mice using a commercial kit (Trizol, Invitrogen) according to manufacturer’s instructions. The total RNA was reverse-transcribed using the M-MuLV kit (Invitrogen), and the subsequent cDNA was used as a template for quantitative real-time PCR. This analysis was performed with the iQ SYBR green supermix (Bio-Rad) using the ViiA™ 7 Real-Time PCR System (Life Technologies). All qRT-PCR reactions were carried out for 40 cycles under standard PCR conditions. The analyses of the results from qRT-PCR were described previously [32]. Statistical significance of potential difference in expression levels of a given gene between two samples was tested with Mann-Whitney U test (https://www.socscistatistics.com/tests/mannwhitney/default2.aspx). The information regarding individual primer sequences is available as S7 File.
Immunohistochemistry
Each mouse was anesthetized with an intraperitoneal injection of a ketamine/xylazine cocktail (87.5 mg/kg ketamine; 12.5 mg/kg xylazine) at a dosage of 0.1 ml per 20-gram body weight. The animals were then transcardially perfused with 0.1 M sodium phosphate-buffered saline (PBS: pH 7.2–7.4) and fixed with 4% paraformaldehyde in 0.1 M phosphate buffer (PB: pH 7.2–7.4). Mice were decapitated, and heads were post-fixed overnight in the same fixative. Coronal sections were transected from the hypothalamus at 40 μm thickness using a vibratome (Leica VT1200 S, Leica, Mannheim, Germany), and placed in PBS containing 0.5% Triton X‐100 (PBST). The free‐floating brain sections were incubated with an in-house primary antibody against ZIM1 and the primary PS38 antibody against oxytocin-neurophysin (provided by H. Gainer, NIH) at dilutions of 1:1000 and 1:500, respectively. This incubation was carried out in PBST for 48–72 hours at 4°C with continuous gentle agitation. Sections were washed three times with fresh PBST, followed by incubation with goat anti-rabbit antibody conjugated with DyLight 488 (Jackson ImmunoResearch, West Grove, PA) and goat antibody conjugated with DyLight 649 (Jackson ImmunoResearch, West Grove, PA). Both incubations were performed at 1:400 dilution in PBST overnight. The sections were washed three times with PBST, mounted on slides, and cover-slipped with an anti-fading agent that consists of 4.8g PVA, 12g glycerol, 12 mL dH2O, 24 mL 0.2M Tris-HCl, and 1.25g DABCO (1,4-diazabicyclo[2.2.2]octane). Fluorescence images were acquired digitally (Eclipse 80i equipped with a digital camera, DS‐QiMc, Nikon, Tokyo, Japan). ImageJ software was used to process the images in dynamic range with minimal alterations.
DNA methylation analysis
DNA was first isolated from the brains of one-day-old neonates of the F1 hybrid that had been derived from the crossing of female C57BL/6J and male PWD/PhJ. The isolated DNA was treated with the bisulfite conversion protocol [25,26]. The converted DNA was subsequently used as a template for PCR reactions targeting each ECR. The amplified products were individually cloned into a commercial vector, and on average 16 clones for each PCR product were sequenced for its final DNA methylation level. The information regarding the sequences of oligonucleotides for each ECR is available as S7 File.
3C (Chromatin Conformation Capture)
The 3C method was performed as detailed in the Current Protocols in Molecular Biology Handbook unit 21.11 in Supplement 74 [27,28]. In short, the two mouse BAC (bacterial artificial chromosome) clones, RP23-178C5 (Invitrogen) and RP23-117K9 (CHORI), were used for generating the control template libraries. These BACs cover the majority of the Peg3 domain (nucleotide positions 6,610,343–6,929,458 in mouse chromosome 7) with an approximately 9,000 bp overlap (6,793,948–6,802,969). The purified DNA from these two BACs (total 10 μg with an equal ratio) was digested with NcoI, religated, and finally prepared for the control template libraries. For the actual 3C experiments, we harvested the following three tissues of WT and U1/KO2 mice: the one-day-old neonatal brains, the hypothalamus of 2-month-old adult mice, and the 14.5-d.p.c. placentas. Each tissue was homogenized in PBS, crosslinked with 1% formaldehyde for 10 minutes, and finally divided into several fractions at the concentration of 10 mg per aliquot. Each aliquot was used for NcoI digestion, religation, and DNA purification.
For PCR analysis, each primer was designed from a region 100-bp downstream of a given NcoI site. The efficiency and compatibility of a given primer set were tested using serial dilutions of the control template libraries that had been prepared from the two BAC clones. For an initial survey, a fixed number of PCR cycles was performed using each base primer along with a panel of ECR primers. For qPCR analysis, 1 μl of either the control or the 3C libraries from mouse tissues was used as a template with SYBR Green Premix reagents (BioRad). The parameters for PCR are as follows: 95°C for 4 mins, 40 repetitions of the following cycle of 95°C for 15 sec, 65°C for 30 sec, 72°C for 30 sec. A camera capture setting was included after the 65°C step to monitor the formation of PCR product. A melt curve step ranging from 55–95°C with a hold of 10 sec and a temperature increment of 0.5°C was included at the end of the PCR to monitor the quality of PCR products.
Supporting information
S1 File [tif]
This file contains the summary of the expression level comparison of and in the cortex (A) and cerebellum (B) between WT and U1/KO2.
S2 File [tif]
This file contains the summary of the expression level comparison of and in the kidney (A) and gonadal fat (B) between WT and U1/KO2.
S3 File [tif]
This file contains the summary of the expression level comparison of (A), (B), (C), and (D) in the hypothalamus between WT and U1/KO2.
S4 File [tif]
This file contains the magnified view of the PVN areas of the hypothalamus that have been immunostained with anti-ZIM1 antibody.
S5 File [tif]
This file contains the summary of the 3C results that have been derived from the hypothalamus of 2-month-old adult mice of WT (A) and U1/KO2 (B).
S6 File [tif]
This file contains the summary of the 3C results that have been derived from the 14.5-dpc placentas of WT (A) and U1/KO2 (B).
S7 File [xlsx]
This file contains the compiled raw data sets that have been derived from qRT-PCR-based expression surveys and also from qPCR-based 3C analyses.
S8 File [tif]
This file contains the 3C results demonstrating the interaction of the promoters of and with several ECRs that are localized upstream of .
S9 File [tif]
This file contains the summary of the 3C results that have been derived from the mutant animals with the paternal deletion of KO2, demonstrating the allele-specific interaction of the promoter of with ECRs.
Zdroje
1. Bartolomei MS, Ferguson-Smith AC. Mammalian genomic imprinting. Cold Spring Harb Perspect Biol. 2011;3(7).
2. Barlow DP, Bartolomei MS. Genomic imprinting in mammals. Cold Spring Harb Perspect Biol. 2014;6(2).
3. Renfree MB, Suzuki S, Kaneko-Ishino T. The origin and evolution of genomic imprinting and viviparity in mammals. Philos Trans R Soc Lond B Biol Sci. 2013;368:20120151. doi: 10.1098/rstb.2012.0151 23166401
4. Keverne EB. Importance of the matriline for genomic imprinting, brain development and behaviour. Philos Trans R Soc Lond B Biol Sci. 2013;368:20110327. doi: 10.1098/rstb.2011.0327 23166391
5. Ivanova E, Kelsey G. Imprinted genes and hypothalamic function. J Mol Endocrinol. 2011;47:R67–74. doi: 10.1530/JME-11-0065 21798993
6. Feil R, Berger F. Convergent evolution of genomic imprinting in plants and mammals. Trends Genet. 2007;23:192–199. doi: 10.1016/j.tig.2007.02.004 17316885
7. Kuroiwa Y, Kaneko-Ishino T, Kagitani F, Kohda T, Li LL, Tada M et al. Peg3 imprinted gene on proximal chromosome 7 encodes for a zinc finger protein. Nat Genet. 1996;12:186–190. doi: 10.1038/ng0296-186 8563758
8. Relaix F, Weng X, Marazzi G, Yang E, Copeland N, Jenkins N et al. Pw1, A novel zinc finger gene implicated in the myogenic and neuronal lineages. Dev Biol. 1996;77:383–396.
9. Kim J, Ashworth L, Branscomb E, Stubbs L. The human homolog of a mouse-imprinted gene, Peg3, maps to a zinc finger gene-rich region of human chromosome 19q13.4. Genome Res. 1997;7:532–540. doi: 10.1101/gr.7.5.532 9149948
10. He H, Kim J. Regulation and function of the Peg3 imprinted domain. Genomic and Informatics. 2014;12:105–113.
11. Kim J, Ekram MB, Kim H, Faisal M, Frey WD et al. Imprinting control region (ICR) of the Peg3 domain. Hum Mol Genet. 2012;21:2677–2687. doi: 10.1093/hmg/dds092 22394678
12. He H, Perera BP, Ye A, Kim J. Parental and sexual conflicts over the Peg3 imprinted domain. Sci Rep. 2016;6:38136. doi: 10.1038/srep38136 27901122
13. Perera BP, Kim J. Alternative promoters of Peg3 with maternal specificity. Sci Rep. 2016;6:24438. doi: 10.1038/srep24438 27075691
14. Bretz CL, Kim J. Transcription-driven DNA methylation setting on the mouse Peg3 locus. Epigenetics. 2017;12:945–952. doi: 10.1080/15592294.2017.1377869 28925797
15. Thiaville MM, Kim H, Frey WD, Kim J. Identification of an evolutionarily conserved cis-regulatory element controlling the Peg3 imprinted domain. PLoS One. 2013;8:e75417. doi: 10.1371/journal.pone.0075417 24040411
16. Kim J, Ye A. Phylogenetic and Epigenetic Footprinting of the Putative Enhancers of the Peg3 Domain. PLoS One. 2016;11:e0154216. doi: 10.1371/journal.pone.0154216 27104590
17. Bakshi A, Bretz CL, Cain TL, Kim J. Intergenic DNA hypomethylated regions as putative regulators of imprinted domains. Epigenomics. 2018;10:445–461. doi: 10.2217/epi-2017-0125 29569934
18. Bretz CL, Frey WD, Teruyama R, Kim J. Allele and dosage specificity of the Peg3 imprinted domain. PLoS One. 2018;13:e0197069. doi: 10.1371/journal.pone.0197069 29734399
19. Li L, Keverne EB, Aparicio SA, Ishino F, Barton SC, Tada M et al. Regulation of maternal behavior and offspring growth by paternally expressed Peg3. Science. 1999;284:330–333. doi: 10.1126/science.284.5412.330 10195900
20. Curley JP, Pinnock SB, Dickson SL, Thresher R, Miyoshi N, Surani MA et al. Increased body fat in mice with a targeted mutation of the paternally expressed imprinted gene Peg3. FASEB J. 2005;19:1302–1304 doi: 10.1096/fj.04-3216fje 15928196
21. Kim J, Frey WD, He H, Kim H, Ekram MB, Bakshi A et al. Peg3 mutational effects on reproduction and placenta-specific gene families. PLoS One. 2013;8:e83359. doi: 10.1371/journal.pone.0083359 24391757
22. Frey WD, Kim J. Tissue-Specific Contributions of Paternally Expressed Gene 3 in Lactation and Maternal Care of Mus musculus. PLoS One. 2015;10:e0144459. doi: 10.1371/journal.pone.0144459 26640945
23. Kim J, Lu X, Stubbs L, Zim1, a maternally expressed mouse Kruppel-type zinc-finger gene located in proximal chromosome 7. Hum Mol Genet. 1999;8:847–854. doi: 10.1093/hmg/8.5.847 10196374
24. Perera BP, Teruyama R. Kim J. Yy1 gene dosage effect and bi-allelic expression of Peg3. PLoS One. 2015;10:e0119493. doi: 10.1371/journal.pone.0119493 25774914
25. Clark SJ, Harrison J, Paul CL, Frommer M. High sensitivity mapping of methylated cytosines. Nucleic Acids Res. 1994;22:2990–2997. doi: 10.1093/nar/22.15.2990 8065911
26. Xiong Z, Laird PW. COBRA: a sensitive and quantitative DNA methylation assay. Nucleic Acids Res. 1997;25:2532–2534. doi: 10.1093/nar/25.12.2532 9171110
27. Dekker J. The three ‘C’s of chromosome conformation capture: controls, controls, control. Nat Methods. 2006;3:17–21. doi: 10.1038/nmeth823 16369547
28. Miele A, Gheldof N, Tabuchi TM, Dostie J, Dekker J. Mapping chromatin interactions by chromosome conformation capture. Curr Protoc Mol Biol. 2006;Chapter 21:Unit 21.11. doi: 10.1002/0471142727.mb2111s74 18265379
29. Xu J, Carter AC, Gendrel AV, Attia M, Loftus J, Greenleaf WJ, Tibshirani R, Heard E, Chang HY. Landscape of monoallelic DNA accessibility in mouse embryonic stem cells and neural progenitor cells. Nat Genet. 2017;49:377–386. doi: 10.1038/ng.3769 28112738
30. Chess A. Monoallelic Gene Expression in Mammals. Annu Rev Genet. 2016;50:317–327. doi: 10.1146/annurev-genet-120215-035120 27893959
31. Zwemer LM, Zak A, Thompson BR, Kirby A, Daly MJ, Chess A, Gimelbrant AA. Autosomal monoallelic expression in the mouse. Genome Biol. 2012;13:R10. doi: 10.1186/gb-2012-13-2-r10 22348269
32. Winer J, Jung CK, Shackel I, Williams PM. Development and validation of real-time quantitative reverse transcriptase–polymerase chain reaction for monitoring gene expression in cardiac myocytes in vitro. Anal Biochem. 1999;270:41–49. doi: 10.1006/abio.1999.4085 10328763
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