The actions of transcription factors, chromatin modifiers and noncoding RNAs are crucial for the programming of cell states. Although the importance of various epigenetic machineries for controlling pluripotency of embryonic stem (ES) cells has been previously studied, how chromatin modifiers cooperate with specific transcription factors still remains largely elusive. Here, we find that Pontin chromatin remodelling factor plays an essential role as a coactivator for Oct4 for maintenance of pluripotency in mouse ES cells. Genome-wide analyses reveal that Pontin and Oct4 share a substantial set of target genes involved in ES cell maintenance. Intriguingly, we find that the Oct4-dependent coactivator function of Pontin extends to the transcription of large intergenic noncoding RNAs (lincRNAs) and in particular linc1253, a lineage programme repressing lincRNA, is a Pontin-dependent Oct4 target lincRNA. Together, our findings demonstrate that the Oct4-Pontin module plays critical roles in the regulation of genes involved in ES cell fate determination.
ES cells are derived from the inner cell mass of the mammalian embryos at the blastocyst stage and possess an unlimited potential for both self-renewal, the ability to proliferate without a change in phenotype, and pluripotency, the ability to differentiate into any cell in the organism1,2. ES cell-specific transcription factors, such as Oct4 and Nanog, have been identified as key factors for the formation and maintenance of the inner cell mass during development as well as self-renewal of ES cells3,4,5,6,7. In addition to the core transcription factors, a subset of chromatin modifiers has been implicated in pluripotency. The p300 histone acetyltransferase is predominantly recruited to Oct4-Nanog binding loci on mouse genome in ES cells8. Lack of p300 causes abnormal expression of germ layer markers during embryoid body (EB) formation from ES cells9. Depletion of Tip60 histone acetyltransferase complex, such as Tip60, p400 and Dmap1, causes loss of ES cell identity including reduction of S phase in cell cycle, weakened alkaline phosphatase (AP) activities and abnormal morphology10.
Recent studies have highlighted that non-coding RNAs are important for both the maintenance of pluripotency and repression of differentiation programme in ES cells, along with key transcription factors and chromatin modifiers11,12,13. LincRNAs are a subclass of long non-coding RNAs and have multi-exons and poly-A-tails like messenger RNAs14,15. LincRNAs have been shown to act in the circuitry controlling pluripotency and differentiation of ES cells16,17. There are over 200 lincRNAs identified in ES cells, and some of them including linc1368, linc1577 and linc1634 function to maintain the pluripotent state through regulation of Oct4 or Nanog expression18. The majority of lincRNAs expressed in ES cells are also targets of ES cell-specific transcription factors. Therefore, lincRNAs may function as downstream targets and/or upstream regulators of these transcription factors or chromatin modifiers19,20,21. Despite the critical roles of lincRNAs in ES cells, molecular mechanisms for the regulation of lincRNA expression have not yet been extensively studied.
Proper regulation of chromatin structure by the coordinated action of transcription factors and chromatin modifiers is important for cell state-specific gene expression22,23,24,25,26,27. Pontin is a chromatin remodelling factor that possesses both ATPase and DNA helicase activities28,29,30. Pontin functions as a coactivator for various transcription factors including androgen receptor (AR) in prostate cancer, T-cell factor (TCF) in the Wnt signalling pathway and hypoxia-inducible factor-1α (HIF-1α) in the hypoxia signalling pathway31,32,33. It has been shown that Tip60 histone acetyltransferase complex possesses Pontin as a component in addition to p40034,35. An RNAi screen of chromatin proteins identified Tip60-p400 as a critical regulator complex of ES cell identity. Further, chromatin remodelling complexes and polycomb group proteins are implicated in ES cell maintenance36,37,38,39. Although these reports provide clues for the importance of chromatin remodelling complexes, the underlying mechanisms remain largely unknown.
Here, we report that Pontin deficiency in ES cells severely compromises ES cell maintenance and Pontin functions as a critical coactivator for Oct4. ChIP-sequencing and mRNA-sequencing analyses identify a substantial amount of overlapping target genes between Oct4 and Pontin in ES cells. Intriguingly, a subset of Oct4-dependent lincRNAs is regulated by Oct4-Pontin module, and these Oct4/Pontin-dependent lincRNAs are mainly involved in the repression of differentiation programme in ES cells. Together, these findings demonstrate a functional link between lincRNAs and chromatin modifiers, which is mediated by Oct4 to orchestrate the programming of cell states in ES cells.
Targeted disruption of Pontin causes defects in ES cell maintenance
To explore the biological function of Pontin in vivo, we generated Pontin-deficient mice by gene targeting in ES cells (Supplementary Fig. 1a-c). Although Pontin heterozygous (Pontin+/−) mice were fertile and showed no detectable developmental abnormalities over 1.5-year-observation period, none of the Pontin-deficient homozygous (Pontin−/−) animals were obtained from 168 offsprings (Supplementary Fig. 1d), indicating that lack of Pontin resulted in embryonic lethality. Analysis of Pontin−/− embryos revealed that they were competent for pre-implantation development and died between E3.5 and E7.5 (Supplementary Fig. 1d).
We next examined the roles of Pontin in both survival and maintenance of pluripotent cells in inner cell mass. A TUNEL assay, with embryos from heterozygote intercrosses at the blastocyst stage, showed that Pontin-deficient embryos exhibited increased apoptotic cell numbers, whereas WT and heterozygous littermates exhibited little or no apoptotic cells in inner cell mass (Fig. 1a). Further, Pontin deficiency reduced expression of stage-specific embryonal antigen-1 (SSEA-1), a marker for murine pluripotent stem cells (Fig. 1b). Pontin expression was significantly reduced during both embryogenesis (Fig. 1c) and in vitro differentiation process after EB formation (Fig. 1d).
We generated Pontinf/f; CreER ES cells, in which Pontin can be conditionally deleted by 4-hydroxy tamoxifen (OHT) treatment (Fig. 1e and Supplementary Fig. 1e). Protein levels of Pontin were almost completely depleted after 3 days of OHT administration (Fig. 1f and Supplementary Fig. 1f). To examine whether Pontin depletion affects ES cell growth, we counted cell numbers over several days. The growth of Pontin-depleted ES cells was significantly reduced compared with that of WT (Fig. 1g). Propidium iodide staining of Pontin-depleted ES cells followed by fluorescence-activated cell sorter (FACS) analysis of cell cycle-phase distribution revealed a reduction of S-phase cells (Fig. 1h). A BrdU incorporation experiment showed a reduction of BrdU-positive cells in Pontin-depleted ES cells (Fig. 1i). Further, we measured AP activity, which is high in undifferentiated ES cells but significantly decreased during differentiation. Pontin-depleted ES cells showed weak AP staining with loss of ES cell morphology (Fig. 1j). SSEA-1 expression was significantly reduced in Pontin-depleted ES cells (Fig. 1k). Together, these data indicate that depletion of Pontin leads to the defects in ES cell maintenance. We also examined the role of Pontin in reprogramming of fibroblasts to induced pluripotent cells (iPSCs). Transduction of Oct4-promoter-driven-GFP MEFs (pOct4-GFP MEFs) with OSK (Oct4, Sox2 and Klf4) transgenes induced colonies with ESC colony-like morphology, and some of them expressed GFP, a marker of endogenous Oct4 expression. Knockdown of Pontin by shRNA reduced reprogramming efficiency (Fig. 1l), indicating that Pontin is important for somatic cell reprogramming. However, overexpression of Pontin did not affect iPSC formation efficiency significantly (Supplementary Fig. 1g).
Identification of target genes regulated by Pontin in ES cells
To gain insights into the underlying mechanisms by which Pontin contributes to the ES cell maintenance, we performed genome-wide mRNA-sequencing analysis of Pontinf/f; CreER ES cells at 0, 3 or 4 days post-treatment with OHT (Fig. 2a). On average, 55.4 million reads were obtained in individual samples and aligned to the mouse genome, resulting in 5.3 Giga bps of mapped sequences, which corresponds to 52.2-fold coverage of the annotated mouse transcriptome (Supplementary Data 1). To explore the downstream target genes of Pontin, we compared gene expression in Pontin-depleted ES cells relative to that of WT and identified differentially expressed genes (DEGs) that consist of 1,205 upregulated and 1,678 downregulated genes in Pontin-depleted ES cells compared with WT (Fig. 2a). The cellular processes affected by Pontin were then examined by performing functional enrichment analysis of the DEGs using DAVID software40 (Fig. 2b and Supplementary Data 2). This analysis indicates that the majority of upregulated genes in Pontin-depleted ES cells are mainly related to differentiation and embryonic developmental processes, whereas downregulated genes are involved in cell cycle and metabolism, which are essential for ES cell maintenance (Fig. 2b). Consistent with this observation, the genes related to development and differentiation (that is, Timp2 and Tpm1) are upregulated in Pontin-depleted ES cells, whereas the genes involved in stem cell maintenance and metabolism (that is, Rif1 and Ptch1) are downregulated as evidenced by mRNA sequencing (Fig. 2c) and quantitative RT-PCR analyses (Fig. 2d).
To understand the association of Pontin with ES-specific transcription factors and/or chromatin modifiers in transcriptional programme, we compared the mRNA-sequencing data of Pontin-depleted ES cells with previously reported gene expression profiles of ES cells deficient of ES cell-specific transcription factors such as Oct4 and Nanog, and chromatin modifiers such as Tip60 and p400, which form a histone acetyltransferase complex with Pontin. For the comparison, we evaluated pair-wise correlations of the overall changes of gene expression in Pontin-depleted ES cells with those in ES cells deficient of the other factors. Interestingly, the analysis revealed that Pontin showed more significant correlation with Oct4 or Nanog than Tip60 or p400 (Fig. 2e). The strong correlations of Pontin with Oct4 or Nanog were confirmed by an independent correlation analysis (Supplementary Fig. 2a). Further, we performed ChIP-sequencing using an anti-Pontin antibody and compared the data with those previously generated with anti-Oct4, Sox2, Nanog, Tip60 and p400 antibodies in mouse ES cells using correlation analysis of binding enrichment in the promoter and enhancer regions8,41 (Fig. 2f and Supplementary Data 1). Consistent with the above analysis, this correlation analysis revealed that Pontin exhibited more significant correlation with Oct4 than Sox2, Nanog, p400 and Tip60. These strong correlations between Pontin and Oct4 in both mRNA-sequencing and ChIP-sequencing data indicate that Pontin-Oct4 may regulate a large number of common target genes cooperatively.
Pontin and Oct4 share a substantial number of target genes in ES cells
The unexpected observation of the significant overlap between the expression profiles of Pontin-depleted ES cells and Oct4-depleted ES cells led us to further explore the functional link between Pontin and Oct4. To search for their shared target genes, we further performed mRNA sequencing of Oct4-depleted ES cells generated from ZHBTc4 cells, a conditional Oct4-depleted ES cell line, in which Oct4 can be depleted by tetracycline treatment for 2 days42. The mRNA-sequencing analysis of Oct4-depleted ES cells showed that 55.2 million reads were aligned to the mouse genome, resulting in 5.2 Giga bps of mapped sequences, which corresponds to 54.1-fold coverage of the annotated mouse transcriptome (Supplementary Data 1). Similar to the case of Pontin-depleted ES cells, most of upregulated genes in Oct4-depleted ES cells are involved in differentiation and developmental processes, whereas downregulated genes are involved in self-renewal and metabolism (Supplementary Data 2).
We compared the DEGs in Pontin-depleted ES cells and Oct4-depleted ES cells (Fig. 3a and Supplementary Data 3). Among 1,205 genes upregulated in Pontin-depleted ES cells, 744 genes are regulated by Oct4 (Groups 1 and 2 in Fig. 3a), and out of 1,678 genes that are downregulated in Pontin-depleted ES cells, 912 genes are regulated by Oct4 (Groups 3 and 4 in Fig. 3a). Interestingly, the majority of the upregulated genes by Pontin depletion are also upregulated by Oct4 depletion (P=9.28 × 10−41 by Fisher’s exact test) (Fig. 3b and Supplementary Fig. 2b; see Top 50 shared upregulated genes in Fig. 3c). The upregulated genes in Group 1 are mainly involved in differentiation and embryonic development processes (Supplementary Data 2). We confirmed that developmental genes such as Gata6, Igf2 and Krt18 are upregulated in Pontin-depleted ES cells and Oct4-depleted ES cells by quantitative RT-PCR analysis (Fig. 3d). Furthermore, we found a strong correlation among the downregulated genes in Oct4-depleted and Pontin-depleted ES cells (P=8.29 × 10−35 by Fisher’s exact test) (Fig. 3b and Supplementary Fig. 2b; see Top 50 shared downregulated genes in Fig. 3c). The downregulated genes in Group 3 are closely related to cell cycle and metabolism, which are important for ES cell maintenance (Supplementary Data 2). Quantitative RT-PCR analysis confirmed that Oct4 target genes involved in self-renewal and ES cell maintenance, such as Lefty1, Otx2 and Fut9/SSEA-1, are downregulated in Oct4-depleted ES cells and Pontin-depleted ES cells (Fig. 3d). Some Oct4 target genes such as Nanog and Mycn are not affected by Pontin. Together, these data indicate that Pontin and Oct4 share a substantial number of downstream target genes required for the ES cell maintenance.
To test the possibility that Pontin possesses Oct4 and/or Nanog binding sites in the promoter and enhancer regions, we examined binding sites of Oct4 and/or Nanog based on the previous binding site analysis of two sets of ChIP-sequencing data (GSE11431 and GSE11724)43. Both data sets predicted no binding sites of Oct4 or Nanog in the region between 5 kb-upstream and 1 kb-downstream from the transcription start site (TSS) of Pontin (Supplementary Fig. 3a). Furthermore, no significant differences of both protein and mRNA levels of Pontin were found by Oct4 or Nanog depletion in ES cells (Supplementary Fig. 3b,c), indicating that Pontin is not a direct target gene of Oct4 or Nanog.
Pontin functions as a transcriptional coactivator for Oct4 in ES cells
As Pontin has been shown as a coactivator for many transcription factors, we checked the possibility that Pontin functions as a coactivator for Oct4 and forms a specific regulatory module for downstream target genes. First, we examined mutual binding of Pontin and Oct4 or Nanog by co-immunoprecipitation assay and found that endogenous Pontin binds to Oct4, but not Nanog, in ES cells (Fig. 4a). GST pull-down assay confirmed direct interaction of Pontin with Oct4 (Fig. 4b). Next, we performed a luciferase assay with reporters driven by Rif1 promoter possessing functional Oct4 binding elements, based on the identification of Rif1 as one of Pontin target genes from our mRNA-sequencing analysis. We constructed two different luciferase reporter plasmids, one containing Oct4-binding region (Rif1-800) and the other containing deleted Oct4-binding region (Rif1-640). Introduction of Oct4 increased Rif1-800 promoter-luciferase activity, and overexpression of Pontin potentiated Oct4-dependent activation of Rif1-800 promoter-luciferase reporter, but not Rif1-640 promoter-luciferase reporter (Fig. 4c), indicating that Pontin functions as a coactivator for Oct4. Further, Oct4-mediated increase of Rif1-800 promoter-luciferase activity was attenuated by knockdown of Pontin (Fig. 4d).
We then performed ChIP assays in Oct4-depleted ES cells compared with WT ES cells to determine whether Pontin recruitment is Oct4-dependent. We examined Pontin-dependent Oct4 target genes such as Lefty1, Otx2 and Rif1, and Pontin-independent Oct4 target gene such as Mycn for comparison. Consistent with previous reports44, Oct4 and p300 were co-recruited to Oct4-binding sites, concomitant with strong acetylation signal at lysine 27 of histone H3 (H3K27) in WT ES cells (Fig. 4e). Pontin was also recruited to the Oct4-binding regions of Lefty1, Otx2 and Rif1, but not that of Mycn. However, on Oct4 depletion, recruitment of Pontin and p300 was significantly diminished to the Oct4-binding regions concomitant with the decreased H3K27 acetylation level (Fig. 4e). We performed two-step ChIP assays to further examine the Oct4 dependency of Pontin and p300 for the target promoter binding. The elutes from the first immunoprecipitation reaction with an anti-Oct4 antibody were re-immunoprecipitated with anti-Pontin or anti-p300 antibody, and the two-step ChIP assays revealed that the recruitment of Pontin and p300 on the target promoter is Oct4-dependent (Fig. 4f).
We further examined whether Pontin collaborates with p300 for Oct4-dependent transcriptional activation. First, we examined whether Pontin binds to p300 at endogenous expression level. Co-immunoprecipitation assay revealed that Pontin bound to p300 in ES cells (Supplementary Fig. 3d). Introduction of p300 increased Rif1-800 promoter-luciferase activity by Oct4 and Pontin, and the increase of Rif1-800 promoter-luciferase activity by Oct4 and Pontin was attenuated by knockdown of p300 (Supplementary Fig. 3e, f). Next, we compared recruitment of p300 along with H3K27 acetylation levels by ChIP assays in Pontin-depleted ES cells. Intriguingly, ChIP assays revealed that lack of Pontin led to the failure of p300 recruitment along with reduced H3K27 acetylation levels on the Pontin-Oct4 target genes such as Lefty1, Otx2 and Rif1, but not on Mycn (Fig. 4g). Recruitment of neither Oct4 nor Nanog was affected by Pontin depletion. These results demonstrate that Pontin requires Oct4 binding for its recruitment to the Oct4-Pontin target promoters and collaborates with p300 to exert transcriptional coactivator function.
Pontin functions as a coactivator for Oct4-dependent lincRNA transcription
Chromatin signature mapping and global gene expression analysis with RNAi screening in ES cells showed that lincRNAs play a role in the maintenance of self-renewal and pluripotency. As a subset of lincRNAs has been shown to be directly regulated by Oct4, we tested the possibility that Pontin regulates expression of Oct4-dependent lincRNAs. Our analysis of Oct4 targets affected by Pontin revealed that lincRNAs are significantly affected by Pontin expression (Fig. 5a). Among the known 226 lincRNAs expressed in ES cells, 54 lincRNAs are downregulated in Oct4-depleted ES cells and 16 (30% in Fig. 5a, P=2.80 × 10−3 by Fisher’s exact test) of the 54 lincRNAs are also downregulated in Pontin-depleted ES cells (Fig. 5b and Supplementary Data 4). Interestingly, five lincRNAs (linc1253, linc1356, linc1517, linc1562 and linc1602) that are co-regulated by both Pontin and Oct4 from our analysis (denoted with asterisk in Fig. 5c) have been shown to function as repressors of lineage differentiation programme in ES cells18. Moreover, the genes that are upregulated by knockdown of linc1253, linc1356 or linc1517 significantly overlapped with those that are upregulated by Pontin depletion (false discovery rate<0.1) (Supplementary Fig. 4a). These analyses support that Pontin and lincRNAs may collaborate to repress lineage specification programmes in ES cells. Quantitative RT-PCR analysis confirmed that lack of either Oct4 or Pontin resulted in downregulation of transcript levels of five lincRNAs that function to repress lineage differentiation programme (Fig. 5d).
Next, we examined whether lincRNA transcription is coregulated by Oct4 and Pontin as in the case of protein-coding gene transcription. Thus, we designed luciferase reporter constructs of the Oct4-dependent linc1253 promoter and examined whether Oct4-binding site is crucial for the activity of linc1253 promoter. We constructed two different linc1253 promoter-luciferase reporters, one containing Oct4-binding region (linc1253-1000) and the other with deleted Oct4-binding region (linc1253-500). Introduction of Pontin further increased Oct4-dependent linc1253-1000 promoter-luciferase activity (Fig. 5e). Introduction of neither Oct4 nor Pontin increased linc1253-500 promoter-luciferase activity. Consistently, Oct4-dependent induction of luciferase activity from linc1253-1000 promoter was attenuated by knockdown of Pontin (Fig. 5e), suggesting that Pontin functions as a coactivator of Oct4-dependent lincRNA transcription. Together, these results indicate that coactivator function of Pontin is mediated by Oct4 binding to the linc1253 promoter.
Characterization of linc1253 that is cooperatively regulated by Oct4-Pontin module
To further investigate whether Pontin is recruited to lincRNA loci through Oct4 binding sites along with Oct4 and p300 in ES cells, we performed ChIP assays on the linc1253, linc1356 and linc1562 loci in WT, Oct4-depleted and Pontin-depleted ES cells. For these lincRNA loci, Pontin and Oct4, along with p300, were corecruited to Oct4-binding sites, concomitant with strong H3K27 acetylation signal in WT ES cells (Fig. 6a). Similar to other Oct4-Pontin target genes, depletion of Oct4 led to the failure of recruitment of Pontin, Nanog and p300, with reduction of H3K27 acetylation levels (Fig. 6a). The recruitment of Oct4 and Nanog to the linc1253, linc1356 and linc1562 loci were not affected by lack of Pontin, but the recruitment of p300 along with H3K27 acetylation levels was drastically decreased in Pontin-depleted ES cells (Fig. 6b). These data confirm that Pontin functions as a transcriptional coactivator along with p300 for Oct4-Pontin target lincRNAs in an Oct4-dependent manner. Among the Oct4-Pontin target lincRNAs, linc1253 is one of the most significantly downregulated lincRNAs in both Pontin-depleted ES cells and Oct4-depleted ES cells (Supplementary Fig. 4a and Supplementary Data 4).
We further characterized the gene/isoform structure, genomic location, coding probability and subcellular localization of linc1253. The mRNA-sequencing data of human ES cells (H1 and H9 cells)45 revealed no evidence for linc1253 expression, suggesting that linc1253 may not be conserved in humans. On the basis of the 3′ rapid amplification of cDNA ends (RACE) experiment followed by cDNA cloning, we found that linc1253 is an ∼1,500-nucleotide transcript comprising three exons at the locus of chr10: 94,906,836–94,923,359 (minus strand) (Fig. 6c), which is consistent with our mRNA-sequencing data in ES cells (Fig. 6d). According to the UCSC genome browser, there were two mouse expressed sequence tags (CJ063160 and CJ133752) covering this locus. Results from the 3′ RACE and mRNA sequencing analyses indicate that there are no isoforms at least in ES cells. Next, we assessed coding potential across the mature RNAs using the Coding Potential Assessment Tool (CPAT)46. According to the coding probability distribution of protein-coding genes and lincRNAs, linc1253 showed a very low coding probability of 0.058, indicating that this transcript is non-coding (Fig. 6e). We quantified the linc1253 transcript levels in both nuclear and` cytoplasmic fractions of ES cells by quantitative RT-PCR analysis, and found that linc1253 mainly resides in the nucleus (Fig. 6f). In situ hybridization analysis of linc1253 confirmed exclusive localization of linc1253 in the nucleus (Fig. 6g).
Molecular mechanism of regulation of linc1253 by the Oct4-Pontin module
To compare the genes regulated by linc1253 and Pontin, we further performed mRNA sequencing of ES cells after knockdown of linc1253 by lentiviral shRNA and identified 838 DEGs (Supplementary Data 1,3). Consistent with the DEGs in Pontin-depleted ES cells, the upregulated genes in linc1253 knockdown ES cells are mainly involved in differentiation and development, whereas the downregulated genes are involved in metabolism and ion homeostasis (Supplementary Data 2). The log2-fold-changes in linc1253-knockdown ES cells showed a high positive correlation with those in Pontin-depleted ES cells (Fig. 7a and Supplementary Fig. 4b). Consistently, the upregulated genes by linc1253 knockdown significantly (P=4.04 × 10−78 by Fisher’s exact test) overlapped with those by Pontin depletion (Fig. 7b). Among the commonly upregulated genes by the depletions of linc1253 and Pontin in ES cells (Fig. 7c), we selected two representative development-related genes (Gata6 and Bmp1). Quantitative RT-PCR analysis confirmed that loss of linc1253 increased transcript levels of Gata6 and Bmp1, although those of Igf2 and Hand1 were not changed (Fig. 7d). These results indicate that linc1253 regulated by the Oct4-Pontin module is involved in the repression of a subset of developmental genes in ES cells.
Ezh2 is a key component of polycomb repressive complex (PRC) 2 and possesses a methyltransferase activity on histone H3K27. Recent studies have reported that nuclear lincRNAs are functionally linked to chromatin-modifying proteins containing Ezh2 and various transcription factors47,48. To examine whether linc1253 has a role in Ezh2-mediated repression of developmental genes, we tested the possibility that linc1253 physically associates with Ezh2. We performed RNA immunoprecipitation (RIP) assays using antibodies specific to Ezh2, Pontin and Oct4, and found that Ezh2 associates with linc1253 (Fig. 7e). Neither Pontin nor Oct4 exhibited comparable binding to linc1253 (Fig. 7e). We then performed ChIP assays in ES cells after knockdown of linc1253 by lentiviral shRNA to determine whether Ezh2 recruitment and tri-methylation of histone H3K27 on target gene loci are affected by loss of linc1253. On depletion of linc1253, recruitment of Ezh2 concomitant with H3K27 tri-methylation was significantly diminished to the linc1253-dependent target gene loci (Fig. 7f). These results indicate that linc1253 collaborates with Ezh2 to exert its repressive functions on target genes.
In addition to loss-of-function studies, we carried out gain-of-function studies for linc1253. We examined the effect of linc1253 overexpression in reprogramming efficiency and found that linc1253 overexpression did not affect reprogramming efficiency (Supplementary Fig. 4c). To determine whether overexpression of linc1253 reverses upregulation of developmental genes in Pontin-depleted ES cells and Oct4-depleted ES cells, we transduced Pontinf/f; CreER ES cells or ZHBTc4 ES cells with lentivirus expressing control GFP or linc1253. In GFP-infected ES cells, depletion of either Pontin or Oct4 induced expression of Gata6 and Bmp1 drastically (Fig. 7g,h). However, drastic induction of Gata6 and Bmp1 expression in Pontin-depleted and Oct4-depleted ES cells was significantly attenuated by overexpression of linc1253 (Fig. 7g,h). These data indicate that ectopic expression of linc1253, at least partially, attenuated upregulation of developmental genes in Pontin-depleted ES cells and Oct4-depleted ES cells. Our findings demonstrate that linc1253 functions as an important factor acting in the downstream of the Oct4-Pontin axis, attenuating a subset of genes involved in lineage programme in ES cells.
Our findings demonstrate a regulatory network in ES cells whereby Pontin directly activates the expression of both lincRNAs involved in repression of differentiation processes and protein-coding genes required for the ES maintenance as a transcriptional coactivator in an Oct4-dependent manner (Fig. 7i). It has been shown that lincRNAs conduct diverse and distinct biological functions including trans-acting gene regulation (HOTAIR)49, imprinting (Air and H19)50,51, X-chromosome inactivation (Xist and Tsix)52, nuclear shuttling (Nron)53 and somatic tissue differentiation (Braveheart and TINCR)54,55. Although lincRNAs identified in ES cells have been shown to regulate the cell states by both maintaining the pluripotency programme and repressing differentiation programme, it remains largely unknown how these lincRNAs are controlled and which factors lie upstream.
We identified Pontin as a key factor for Oct4-dependent lincRNA transcription processes in ES cells. Pontin and Oct4 show functional cooperation for the transcriptional activation of Oct4 target lincRNAs. It is intriguing that the mode of Oct4 and Pontin for the regulation of lincRNA transcription is similar to that of protein-coding gene transcription. Pontin activates Oct4-dependent lincRNA transcription as a coactivator and the binding of Pontin to the lincRNA loci is mediated by Oct4. Although the functional outcome of transcriptional activation of Oct4 target lincRNAs and Oct4-dependent protein-coding genes by Pontin is distinct, the net result is to favour ES cell maintenance. Pontin appears to acquire maximum efficiency to maintain ES cell identity by regulating transcription process of both lincRNAs and protein-coding genes in an Oct4-dependent manner. It could be one of the prototypes for chromatin modifiers to regulate ES cell identity. Our finding that a group of Oct4 target genes are not dependent on Pontin suggests that Pontin recruitment to Oct4 binding sites may be context-dependent and/or regulatory element-dependent. It will be challenging to find what could be determinants to decide Pontin dependency to the Oct4 target genes.
Intriguingly, Oct4 binding to target genes is not affected by Pontin, but lack of Pontin is sufficient for perturbation of ES cell maintenance. On the basis of the failure of p300 recruitment to the Oct4-Pontin target genes in Pontin-depleted ES cells, we speculate that Pontin accommodates p300 recruitment for transcriptional activation of Oct4-Pontin target genes. Therefore, Pontin functions as a critical factor for p300 recruitment to Oct4-Pontin target genes. It is consistent with the notion that chromatin remodelling process is preceded by histone modifications to initiate efficient transcription processes. Some histone-modifying enzymes have been shown to have a variety of crucial functions for ES cell maintenance. A histone methyltransferase Ezh2 is required for the early embryogenesis and establishment of ES cell56. Ring1A/B, the core components of PRC1, are required for the maintenance of ES cell identity. In the Ring1A/B-double KO ES cells, proliferation is halted and the cells lose typical ES cell morphology57. Depletion of Mll2 histone methyltransferase causes increase of apoptosis and skewed differentiation with decreased SSEA-1 expression in ES cells58.
Together, our findings demonstrate that Pontin, Oct4 and lincRNAs are important regulatory components within the ES cell circuitry and efficiently orchestrate the cell fate programme by forming a functional module. We anticipate that identification of new ES cell-specific lincRNAs associated with chromatin modifiers will lead to a better understanding of cell fate decision programme.
Generation of conditional Pontin-deficient mice
To create a conditional targeting vector in which exon 3 of the Pontin gene was flanked by loxP sites, a 13-kb region used to construct the targeting vector was first subcloned from a BAC clone (bMQ403n16, Source BioScience) into a pBluescript phagemid system. The FRT-flanked puromycin cassette containing a loxP sequence was inserted at the 3′ and the single loxP site was inserted at the 5′ of exon 3. The target region was ∼2.5 kb and included exon 3. Twenty micrograms of the targeting vector was linearized by NotI restriction enzyme and then transfected to E14Tg2A ES cells by electroporation. After puromycin selection, surviving clones were expanded to identify recombinant ES clones by Southern blot analysis. For XbaI digestion, the bands representing WT and mutant alleles are 13 and 5.2 kb, respectively. Targeted ES cells were microinjected into C57BL/6 blastocysts that were used to generate chimeras. The male chimeras were mated to C57BL/6 female mice to obtain F1 heterozygous offspring. Puromycin selection cassette was deleted by crossing targeted heterozygous F1 with Flp deleter strain (FLPeR mice, The Jackson Laboratory strain 003946). All mice used for this work were backcrossed to C57BL/6 at least five generations. This study was reviewed and approved by the Institutional Animal Care and Use Committee (IACUC) of National Cancer Center Research Institute and Seoul National University.
The primers used in PCR analysis for genotyping heterozygous mice are: Pair A 5′-ACTCACTCTGTGGAGCAGAC-3′ and 5′-ACCTTACCTGCGCTCCCATC-3′; Pair B 5′-CTACAGTCTCAGCACTCAGG-3′ and 5′-CCATTTGTCACGTCCTGCAC-3′; Pair C 5′-CAACCTCCCCTTCTACGAGC-3′ and 5′-ACCTTACCTGCGCTCCCATC-3′. The primers used in PCR analysis for genotyping floxed alleles and deleted alleles are: 5′-TCGAGGCAGGAGTACCAGGC-3′, 5′-TTCAGGACAGCAGACTCTGG-3′ and 5′-CTCTGCCTGTGAAACCATACC-3′.
The following commercially available antibodies were used: anti-Oct4 (C-10) and anti-p300 (C-20, N-15, and H-272) antibodies from Santa Cruz Biotechnology; anti-Pontin (SAB4200194) antibody from Sigma-Aldrich; anti-Nanog (ab21624) and anti-H3K27Ac (ab4729) antibodies from Abcam; anti-H3 (#2650) antibody from Cell Signaling Technology; anti-Ezh2 (#612667) antibody from BD bioscience; and anti-SSEA-1 (MAB2155) antibody from R&D systems. Working dilutions or quantities of the antibodies used in the study are summarized in Supplementary Table 1.
Quantitative real-time RT-PCR
The abundance of mRNA and lincRNA was detected by an ABI prism 7300 system with SYBR Green (Enzynomics). The quantity of mRNA and lincRNA was calculated using DDCt method and normalized by using primers to detect Gapdh. All reactions were performed as triplicates. The following primers were used: Oct4 forward 5′-GGCTTCAGACTTCGCCTCC-3′, reverse 5′-AACCTGAGGTCCACAGTATGC-3′; Nanog forward 5′-TCTTCCTGGTCCCCACAGTTT-3′, reverse 5′-GCAAGAATAGTTCTCGGGATGAA-3′; Ptch1 forward 5′-AAAGAACTGCGGCAAGTTTTTG-3′, reverse 5′-CTTCTCCTATCTTCTGACGGGT-3′; Rif1 forward 5′-ACTGACTCCGGGACATAAAGG-3′, reverse 5′-ATAGAAGGGATTGCAGCCATTC-3′; Tpm1 forward 5′-CAGAAGGCAAATGTGCCG AG-3′, reverse 5′-TCCAGCATCTGGTGC ATACTA-3′; Timp2 forward 5′-TCAGAGCCAAAGCAGTGAGC-3′, reverse 5′-GCCGTG TAGATAAACTCGATGTC-3′; Lefty1 forward 5′-CCAACCGCACTGCCCTTAT-3′, reverse 5′-CGCGAAACGAACCAACTTGT-3′; Otx2 forward 5′-TATCTAAAGCAACCGCCTTAC G-3′, reverse 5′-AAGTCCATACCCGAAGTGGTC-3′; Fut9 forward 5′-TCGCCCATTTCTAATCGTCTGC-3′, reverse 5′-AGACTCCATTGGACTGAAGACC-3′; Gata6 forward 5′-TTGCTCCGGTAACAGCAGTG-3′, reverse 5′-GTGGTCGCTTGTGTAGAAGGA-3′; Igf2 forward 5′-GTGCTGCATCGCTGCTTAC-3′, reverse 5′-GACAAACTGAAGCGTGTCAA C-3′; Krt18 forward 5′-CAGCCAGCGTCTATGCAGG-3′, reverse 5′-CTTTCTCGGTCTG GATTCCAC-3′; Mycn forward 5′-ACCATGCCGGGGATGATCT-3′, reverse 5′-ATCTCCG TAGCCCAATTCGAG-3′; Bmp1 forward 5′- TTGTACGCGAGAACATACAGC-3′, reverse 5′-CTGAGTCGGGTCCTT TGGC-3′; Hand1 forward 5′-GGCAGCTACGCACA TCATCA-3′, reverse 5′-CCTGGCATCGGGACCATAG-3′; linc1253 forward 5′-TGCAGGTTCATAATTCATGGC-3′, reverse 5′-AATGGAATGCTTTGTCACCAC-3′; linc1562 forward 5′-CTG GATCTGAGAGACGACCC-3′, reverse 5′-GAAATGCTCTGGAGACGGAG-3′; linc1356 forward 5′-TCTGTTTCCGAATTGAAGGC-3′, reverse 5′-GTTTCCCAAATCAGCAGCTC-3′; linc1517 forward 5′-TTATACCGAAACCGGGAACTC-3′, reverse 5′-AGCAAAGCTGGTCAGGAGAC-3′; linc1602 forward 5′-CCTGAGCCTTCTGTGGTCTC-3′, reverse 5′-CTCTTGGAGTGCTTCATCTGG-3′. Values are expressed as mean±s.d. of three independent experiments.
GST pull-down assays
The recombinant GST-Pontin was expressed using the pGEX-4T1-Pontin vectors. The coding regions of Oct4 were inserted into the pcDNA vector containing T7 promoter. 35S-methione-labelled Oct4 was produced using an in vitro transcription and translation assay kit (TNT Quick Coupled Transcription/Translation system; Promega), according to the manufacturer’s instructions.
ChIP and two-step ChIP assays
The ChIP assays were conducted as described. Cells were crosslinked with 1% formaldehyde for 10 min at room temperature, and formaldehyde was inactivated by the addition of 125 mM glycine. Chromatin extracts containing DNA fragments with an average size of 400 bp were immmunoprecipitated by using antibodies. Quantitative PCR was used to measure enrichment of bound DNA, and the value of enrichment was calculated by relative amount to input and ratio to IgG. All reactions were performed in triplicates. For the two-step ChIP assays, components were eluted from the first immunoprecipitation reaction by incubation with 10 mM dithiothreitol at 37 °C for 30 min and diluted 1:50 in ChIP dilution buffer (20 mM Tris-HCl, pH 8.1, 150 mM NaCl, 2 mM EDTA and 1% Triton X-100) followed by re-immunoprecipitation with the second antibodies. Two-step ChIP assay was performed in essentially the same way as the first immunoprecipitations. The following primers were used: Lefty1 forward 5′-CTGGATTGTCTTTGGGGAAA-3′, reverse 5′-CCCCAATCCACATTCA CTTC-3′; Otx2 forward 5′-CTCCAAATGCACGCTCTACA-3′, reverse 5′-TAGCTAGTGC CAGCCAATGA-3′; Rif1 forward 5′-GTCCCCACTCTCAGAAGCTG-3′, reverse 5′-ACGC ATTCAAGCTTTGGTCT-3′; Mycn forward 5′-TTAGCGAATCCTTGCTACCG-3′, reverse 5′-CTTCGGAAAGGCTTTTGTTG-3′; linc1253 forward 5′-TTGCCTCCTCAAGAAATGC T-3′, reverse 5′-CATGGCTCCAGTTCCTCTGT-3′; linc1356 forward 5′-ACCCA CAGGCT CCTAGGTTT-3′, reverse 5′-TCCAAGCTGTTCTCCCAACT-3′; linc1562 forward 5′-CAGAGAGAGGGAAGCAATGG-3′, reverse 5′-GAATGGCTCAGTGTGGGAAT-3′. Values are expressed as mean±s.d. of three independent experiments.
Construction of reporter plasmids and luciferase reporter assay
Each promoter region was cloned into a pGL2-basic reporter vector (Promega) by using the PCR method. Oct4-binding sites were identified from previous reports18,41,59. The primers used were: linc1253-1000 XhoI forward 5′-CACCTCGAGTGGAGCTTCAGTCCCCGA-3′, KpnI reverse 5′-CACGGTACCGTAAGATGGGAATATTGTCTGG-3′; linc1253-500 XhoI forward 5′-CACCTCGAGTGGAGCTTCAGTCCCCGA-3′, KpnI reverse 5′-CACGGTACC TTATGTGCTAGTTAGGGTAACT-3′; Rif1-800 KpnI forward 5′-CACGGTACCTGTGGA GAGTGCTGAGAGG-3′, XhoI reverse 5′-CACCTCGAGCCTGACTCCAGCTACTTGC-3′; Rif1-640 KpnI forward 5′-CACGGTACCCATGGGTCTCCTTTAGCAAC-3′, XhoI reverse 5′-CACCTCGAGCCTGACTCCAGCTACTTGC-3′. About 0.2–0.4 μg of pCAG-Oct4, 0.3–0.6 μg of pCAG-Pontin, 0.2 μg of pGL2-Rif1 promoter-luciferase and 0.1 μg of pGL2-linc1253 promoter-luciferase plasmid were used for co-transfection. For knockdown of Pontin, 10–20 μl of pLKO-shPontin lentiviral stock was used. 293 T cells were transiently transfected with each promoter-luciferase reporter plasmid using PEI transfection reagent (Sigma-Aldrich). Luciferase activity was measured in a luminometer at 48 h after transfection and normalized by β-galactosidase expression with a Luciferase system (Promega). Values are expressed as means±s.d. of three independent experiments.
Lentivirus construction and production
To knockdown Pontin, p300 or linc1253, the shRNA pLKO.1 lentiviral vectors targeting Pontin (pLKO-shPontin), p300 (pLKO-shp300) or linc1253 (pLKO-shlinc1253) were cloned from targeting sequences. The targeting hairpin sequences are linc1253 5′-GTGTAGGAGCTGGGATGAAAT-3′, p300 5′- AATACCTCGTGATGCCACTTA-3′ and Pontin 5′-AAGGGGAGGTGACAGAGCTCA-3′. For ectopic expression of linc1253, we cloned linc1253 cDNA into the pLJM1 lentivirus vector (pLJM1-linc1253). On the basis of the size determined by 3′RACE PCR, linc1253 cDNA was PCR-amplified using the following primers: forward 5′-CCAACCGGTGGAAATGGAATGCTTTGTCAC-3′, reverse 5′- CCAGAATTCCCCTGGGACTAATGGAGGT-3′. For ectopic expression of Pontin, we cloned Pontin cDNA into the same vector. Lentivirus production was performed as described. The lentiviral vector was co-transfected with packaging vectors (psPAX2 and VSV-G) into 293 T cells. The resultant supernatant was collected at 48 h after transfection and filtered through a 0.45-μm membrane. For concentration of lentivirus, Retro-X concentrator was used according to the manufacturer’s instructions (Clonetech). At 48 h after transduction, puromycin (1 μg ml−1) was added to the medium to select transduced cells.
Cell cycle profiling of propidium iodide stained cells was performed as described. Fractions of cells in each phase were quantified using FlowJo software. Cells were trypsinized and then fixed in 70% ethanol at 4 °C. After fixation, the cells were incubated with RNase A (10 μg ml−1), Nonidet P-40 (0.05%) and propidium iodide (50 μg ml−1) for 1 h. For the BrdU FACS analysis, cells were incubated for 10 min in the presence of BrdU (10 μM). Harvested cells were fixed in 70% ethanol at 4 °C and denatured in 2 N HCl, 0.5% Triton X-100 for 1 h. The cells were then neutralized with 0.1 M Na2B4O7 (pH 8.5) and incubated with a BrdU antibody and FITC-conjugated secondary antibody in PBS containing 1% BSA and 0.5% Tween 20 for 1 h each. Cells were stained with propidium iodide solution and then analysed using the FACS Caliber flow cytometer (BD Biosciences). Cell cycle and DNA contents were analysed using FlowJo software.
ES cell culture
Mouse ES cells were cultured as described previously59. In brief, ES cells were either co-cultured with mouse primary embryonic fibroblast feeders or cultured under feeder-free conditions. ES cells were maintained in Dulbecco’s modified Eagle medium (DMEM; Welgene), supplemented with 15% fetal bovine serum (FBS; Hyclone), 0.055 mM β-mercaptoethanol, 2 mM L-glutamine, 0.1 mM nonessential amino acid, 5,000 units ml−1 of penicillin/streptomycin (GIBCO) and 1,000 units ml−1 of leukaemia inhibitory factor (LIF) (Chemicon). A conditional Oct4-depleted (ZHBTc4) ES cell line was described previously42. Oct4-depleted cells were generated by treating ZHBTc4 ES cells with tetracycline for 2 days. Pontinf/f; CreER ES cells were derived from blastocysts from intercrosses between Pontinf/f; CreER and Pontinf/f mice. CreER transgenic mice were purchased from Jackson laboratory. Pontin-depleted ES cells were generated by treating Pontinf/f; CreER ES cells with OHT for 3 or 4 days. Immunoblot analyses showing depletion of Pontin or Oct4 were independently repeated three times.
ZHBTc4 ES cells were cultured and lysed with lysis buffer (200 mM NaCl, 50 mM Tris-HCl, pH 8.0 and 0.5% NP40). About 20 mg of ES cell extracts was immunoprecipitated with each 2 μg of control IgG, anti-Oct4 antibody, anti-Nanog antibody or anti-Pontin antibody overnight and then incubated with 50 μl (50% slurry) of protein A agarose beads for 1 h. The immunoprecipitated materials were washed with 500 μl of washing buffer (150 mM NaCl, 50 mM Tris-HCl, pH 8.0, and 0.5% NP40) for four times and bound materials were eluted by boiling in 50 μl of sampling buffer (2% 2-mercaptoethanol, 5% glycerol, 1% SDS and 60 mM Tris-HCl, pH 6.8) and subjected to immunoblot analysis. Protein samples were resolved with 12% SDS polyacrylamide gel, and 25 μl of eluted samples were loaded in each well. The resolved proteins were transferred to PVDF membranes, and the membranes were incubated with primary antibodies (1/1,000) at 4 °C overnight, washed and detected using HRP-conjugated secondary antibodies (light chain-specific, Jackson laboratory). Images of the immunoblots were visualized and recorded using the LAS 4000-mini system (Fujifilm). These experiments were independently repeated three times.
To determine the size of linc1253, we performed 3′-RACE as previously described60. In brief, RACE was carried out by using 1.5 μg of total RNA extracted from ZHBTc4 ES cells. The Oligo-dT adapter primer (5′-GCTCGCGAGCGCGTTTAAACGCGCACGCGTTTTTTTTT TTTTTTTTT-3′) was used in the reverse transcription. The first PCR reaction was performed by using linc1253 forward 1 primer (5′-AATGGAATGCTTTGTCACCAC-3′) and the first adaptor primer (5′-GCTCGCGAGCGCGTTTAAAC-3′). Amplification was performed as follows: initial denaturation for 1 min at 95 °C, denaturation for 30 s at 95 °C, annealing for 30 s at 60 °C, extension for 5 min at 72 °C and repeated for 35 cycles. The obtained band was gel purified and PCR-amplified with linc1253 forward 2 primer (5′-CCACTCCTCCGA GCAACACAG-3′) and the second adaptor primer (5′-GCGTTTAAACGCGCACGCGT-3′). Amplification was performed as follows: initial denaturation for 1 min at 95 °C, denaturation for 30 s at 95 °C, annealing for 30 s at 56 °C, extension for 1 min at 72 °C and repeated for 35 cycles. The obtained band was gel purified and sequenced. These experiments were independently repeated three times.
mRNA and ChIP sequencing
We obtained total RNAs from (1) Pontinf/f; CreER ES cells at 0, 3 or 4 days post treatment with OHT for Pontin-depleted ES cells, (2) ZHBTc4 ES cells at 2 days post treatment with tetracycline for Oct4-depleted ES cells and (3) ZHBTc4 ES cells infected by pLKO-shLuciferase (shNS) or pLKO-shlinc1253 lentivirus at 4 days post infection for knockdown of linc1253. Poly(A) mRNA isolation from total RNA (5 μg) and fragmentation was performed using the Illumina Truseq RNA Sample Prep Kit with poly-T oligo-attached magnetic beads, according to the manufacturer’s instructions. Reverse transcription of RNA fragments was performed using Superscript II reverse transcriptase (Life Technologies). The adaptor-ligated library was size-selected by band excision after agarose gel electrophoresis and purified using the QIAquick gel extraction kit (Qiagen). The prepared libraries were sequenced on an Illumina Hi-Seq 2000 (DNA Link, Korea) and Hi-Seq 2500 (NICEM, Seoul National University). A ChIP assay for preparation of ChIP-seq libraries was carried out as described previously59. In brief, ZHBTc4 ES cells were crosslinked with 1% formaldehyde for 10 min at room temperature, and formaldehyde was inactivated by the addition of 125 mM glycine. Chromatin extracts containing DNA fragments with an average size of 400 bp were immmunoprecipitated by using antibodies against GFP (control) or Pontin. Eluted ChIP DNA was used for preparing the libraries using the NEXTflex ChIP-seq kit (Illumina), according to the manufacturer’s instructions. The prepared libraries were sequenced on an Illumina Hi-seq 2500 (NICEM, Seoul National University).
Analysis of mRNA- and ChIP-sequencing data
For both sequencing data, we first removed adapter sequences (TrueSeq universal and index adapters) and then trimmed the ends of the adapter-free reads for which PHRED scores were lower than 20 using the cutadapter software61. Remaining reads were then aligned to the mouse reference genome (NCBIM 37) using TopHat aligner62 for mRNA sequencing and using Bowtie2 (ref. 63) for ChIP sequencing. For the mRNA-sequencing data, considering the variations in individual genomes and presence of multiple gene copies, we used two mismatches in a read and allowed the reads to be aligned in up to 10 different locations, which are default options in the TopHat aligner. After the alignment, we counted the number of reads mapped to gene features (GTF file of NCBIM 37) using HTSeq. To reduce the technical variations across the samples, we normalized the read counts using the TMM method64 that uses RNA compositions and library sizes between the samples provided by edgeR package65 in R. For the ChIP-sequencing data, among the aligned reads, only the reads uniquely aligned and with MAPQ scores >5 were used for further analysis.
Identification of DEGs
We first identified ‘expressed’ genes as the genes with normalized read counts (counts per million) >1 under at least one of the four conditions (WT ES cell, Pontin-depleted ES cells (3 days and 4 days post-OHT treatment) and Oct4-depleted ES cells (2 days post-Tc treatment)). For these expressed genes, we computed log2-read counts after adding one to the normalized read counts and then log2-fold-changes in the comparison of Pontinf/f; CreER ES cells at 3 days or 4 days post-OHT treatment (Pontin-depleted ES cells) and ZHBTc4 ES cells at 2 days post-tetracyclin treatment (Oct4-depleted ES cells) versus Pontinf/f; CreER ES cells at 0 days post-OHT treatment (WT ES cells). Using the log2-fold-changes for each comparison, we identified the genes as DEGs with absolute log2-fold changes >0.58 (1.5-fold). To identify DEGs by linc1253 knockdown, we first selected ‘expressed’ genes with normalized read counts >1 under at least one of the four samples, duplicated samples of each WT ES cells and linc1253-knockdown ES cells. From these expressed genes, we performed the exact test in edgeR package and log2-median ratio test. After separately computing P values from the two tests, we combined the P values using Stouffer’s method66 and then selected the DEGs by linc1253 knockdown as the ones with the combined P<0.05. False positives were further reduced by excluding the genes with log2-median ratio<0.378, the mean of 2.5th and 97.5th percentiles of the log2-median ratios obtained from random permutations of the four samples.
Functional enrichment analysis
To identify cellular processes represented by a set of DEGs (for example, up- and downregulated genes by Pontin depletion, Oct4 depletion or linc1253 knockdown), we performed functional enrichment analysis for the DEGs using DAVID Bioinformatics Resources V6.7 (ref. 40 and selected the Gene Ontology Biological Process (GOBP) with P value <0.1 and gene count ≥3 as the ones represented by the DEGs.
Comparisons of ES cell gene expression profiles
Previously reported gene expression profiles of Oct4, Nanog, Tip60, p400 or Dnmt1-depleted ES cells10,57,59 were used to evaluate the similarity in the effects of depletion of these factors in ES cells. For Agilent microarray data (GSE11243), we normalized probe intensities using the quantile normalization method. For Affymetrix microarray data (GSE4189 and GSE10519), we normalized probeset intensities using the GC-RMA method67. Using the normalized data, we computed log2-fold-changes in ES cells deficient of individual factors, compared with wild-type ES cells, and then performed pair-wise correlation analysis of the log2-fold-changes for individual factors. Finally, the resulting Pearson correlation coefficients were subjected to hierarchical clustering to evaluate the similarity in the effects of depletion of individual factors.
Genomic binding correlation analysis
We downloaded ChIP-sequencing data (BED files) of Oct4, Sox2, Nanog (GSE11431), Tip60 and p400 (GSE42329) from the GEO database. Using these data and our ChIP-sequencing data of Pontin, for each protein-coding gene (ENSEMBL NCBIM37), we evaluated Pontin binding enrichment ratio in its promoter region (2.5 kb-upstream and 500 b-downstream from the TSS)68 as the ratio of the total read counts that were normalized by their library size in the promoter region from Pontin- and GFP-IP (control) samples. We then performed correlation analysis of Pontin enrichment ratios in the promoter regions with enrichment ratios of the five factors (Oct4, Sox2, Nanog, Tip60 and p400) as previously described69. In brief, we sorted 22,073 protein-coding genes in a descending manner by their Pontin enrichment ratios, binned the sorted genes such that each bin includes 500 genes, and then computed the mean enrichment ratios of Pontin and the five factors for the genes in individual bins.
Identification of differentially expressed lincRNAs
To analyse the expression of lincRNAs, we used the 226 multi-exonic lincRNAs that have been previously identified in mouse ES cells18. The lincRNAs with log2-fold-changes >0.58 (1.5-fold) were identified as differentially expressed lincRNAs.
Assessment of protein coding probability of linc1253
We extracted the transcript sequences of protein coding genes and lincRNAs from ENSEMBL NCBIM37 database. Using the transcript sequences, we predicted the coding probabilities46 for total 3,099 lincRNAs and the same number of protein-coding genes randomly selected from the database and then generated the distribution of the coding probability. To predict the coding probability of linc1253, we used the transcript sequence of linc1253.
Chromogenic RNA in situ hybridization
Detection of linc1253 lincRNA in ES cells was performed using the RNAscope 2.0 Chromogenic Detection kit (Advanced Cell Diagnostics) in accordance with the manufacturer’s instructions. Briefly, ES cells were fixed in 4% paraformaldehyde/PBS for 30 min and pretreated with 70% EtOH for 24 h. Fixed cells were hybridized with linc1253-specific probe designed from Advanced Cell Diagnostics based on linc1253 sequence or negative control probe (DapB). Nuclei were stained with DAPI. Chromogenic signals and DAPI-stained images were detected with a Zeiss microscope
RNA Immunoprecipitation (RIP) assay
The RNA immunoprecipitation protocol48 was adapted to analyse the interactions between Ezh2 and linc1253 lincRNA. ES cells were crosslinked by 1% formaldehyde for 10 min at room temperature. The crosslinking reaction was stopped by addition of glycine (1 M, pH 7.0) to a final concentration of 0.25 M followed by incubation at room temperature for 5 min. The cells were washed with ice-cold PBS and resuspended in RIPA buffer (50 mM Tris-HCl, pH 7.4, 1% NP40, 0.5% sodium deoxycholate, 0.05% SDS, 1 mM EDTA and 150 mM NaCl) containing protease inhibitors and an RNase inhibitor. The cell suspension was sonicated and centrifuged for 10 min at 13,000 r.p.m., and the resulting supernatant was precleared by incubation with protein A-agarose beads. The precleared supernatant was incubated with IgG, anti-Ezh2, anti-Oct4 or anti-Pontin antibodies for 2 h at 4 °C. The beads were washed with RIPA buffer and resuspended with reversal buffer (50 mM Tris-HCl, pH 7.0, 5 mM EDTA, 10 mM DTT and 1% SDS) followed by incubation for 45 min at 70 °C to reverse the crosslinks. The immunoprecipitated RNAs were isolated according to the manufacturer’s protocol (Invitrogen).
Reprogramming assay was done as previously described70. In brief, equal amounts of virus encoding different combination of factors were applied to 5 × 104 plated Oct4-GFP transgenic MEFs. Oct4-GFP transgenic MEFs were reprogrammed by forced expression of retroviral Oct4, Sox2, and Klf4 (OSK). After 24 h, inactivated feeder cells were added and the culture was then maintained for up to 21 days. Reprogrammed cells were detected by GFP expression. The number of GFP-positive colonies was counted.
Human Othologue of linc1253
We first blasted the linc1253 gene sequence to the human genome and found a region to which two partial portions of the linc1253 sequence were mapped. Second, since the blast analysis provided only the partial mapping of linc1253, near the partially mapped regions, we further identified other nine regions that share high sequence homologies with the linc1253 sequence using UCSC genome browser. Thus, a potential linc1253 location was identified as a region containing all the regions identified from both the blast and UCSC genome browser. Finally, mRNA-sequencing data (GSE16256) of human ES cells (H1 and H9 cells) revealed that no transcripts within this region were expressed.
Statistical differences in test and control samples were determined by Student’s t-test using the Statview package (Abacus Concepts, Berkeley, CA).
Accession codes: The mRNA-sequencing and ChIP-sequencing data were deposited to the gene expression omnibus (GEO) database (Accession ID: GSE58206).
How to cite this article: Boo, K. et al. Pontin functions as an essential coactivator for Oct4-dependent lincRNA expression in mouse embryonic stem cells. Nat. Commun. 6:6810 doi: 10.1038/ncomms7810 (2015).
Gene Expression Omnibus
Niwa, H. How is pluripotency determined and maintained? Development 134, 635–646 (2007) .
Young, R. A. Control of the embryonic stem cell state. Cell 144, 940–954 (2011) .
van den Berg, D. L. et al. An Oct4-centered protein interaction network in embryonic stem cells. Cell Stem Cell 6, 369–381 (2010) .
Jaenisch, R. & Young, R. Stem cells, the molecular circuitry of pluripotency and nuclear reprogramming. Cell 132, 567–582 (2008) .
Chambers, I. et al. Nanog safeguards pluripotency and mediates germline development. Nature 450, 1230–1234 (2007) .
Masui, S. et al. Pluripotency governed by Sox2 via regulation of Oct3/4 expression in mouse embryonic stem cells. Nat. Cell Biol. 9, 625–635 (2007) .
Lessard, J. A. & Crabtree, G. R. Chromatin regulatory mechanisms in pluripotency. Annu. Rev. Cell Dev. Biol. 26, 503–532 (2010) .
Chen, X. et al. Integration of external signaling pathways with the core transcriptional network in embryonic stem cells. Cell 133, 1106–1117 (2008) .
Zhong, X. & Jin, Y. Critical roles of coactivator p300 in mouse embryonic stem cell differentiation and Nanog expression. J. Biol. Chem. 284, 9168–9175 (2009) .
Fazzio, T. G., Huff, J. T. & Panning, B. An RNAi screen of chromatin proteins identifies Tip60-p400 as a regulator of embryonic stem cell identity. Cell 134, 162–174 (2008) .
Pauli, A., Rinn, J. L. & Schier, A. F. Non-coding RNAs as regulators of embryogenesis. Nat. Rev. Genet. 12, 136–149 (2011) .
Batista, P. J. & Chang, H. Y. Long noncoding RNAs: cellular address codes in development and disease. Cell 152, 1298–1307 (2013) .
Babiarz, J. E., Ruby, J. G., Wang, Y., Bartel, D. P. & Blelloch, R. Mouse ES cells express endogenous shRNAs, siRNAs, and other Microprocessor-independent, Dicer-dependent small RNAs. Genes Dev. 22, 2773–2785 (2008) .
Ulitsky, I., Shkumatava, A., Jan, C. H., Sive, H. & Bartel, D. P. Conserved function of lincRNAs in vertebrate embryonic development despite rapid sequence evolution. Cell 147, 1537–1550 (2011) .
Ulitsky, I. & Bartel, D. P. lincRNAs: genomics, evolution, and mechanisms. Cell 154, 26–46 (2013) .
Loewer, S. et al. Large intergenic non-coding RNA-RoR modulates reprogramming of human induced pluripotent stem cells. Nat. Genet. 42, 1113–1117 (2010) .
Rinn, J. L. & Chang, H. Y. Genome regulation by long noncoding RNAs. Annu. Rev. Biochem. 81, 145–166 (2012) .
Guttman, M. et al. lincRNAs act in the circuitry controlling pluripotency and differentiation. Nature 477, 295–300 (2011) .
Guttman, M. et al. Chromatin signature reveals over a thousand highly conserved large non-coding RNAs in mammals. Nature 458, 223–227 (2009) .
Wang, K. C. & Chang, H. Y. Molecular mechanisms of long noncoding RNAs. Mol. Cell 43, 904–914 (2011) .
Guttman, M. & Rinn, J. L. Modular regulatory principles of large non-coding RNAs. Nature 482, 339–346 (2012) .
Orkin, S. H. & Hochedlinger, K. Chromatin connections to pluripotency and cellular reprogramming. Cell 145, 835–850 (2011) .
Meshorer, E. & Misteli, T. Chromatin in pluripotent embryonic stem cells and differentiation. Nat. Rev. Mol. Cell Biol. 7, 540–546 (2006) .
Ho, L. & Crabtree, G. R. Chromatin remodelling during development. Nature 463, 474–484 (2010) .
Graf, T. & Enver, T. Forcing cells to change lineages. Nature 462, 587–594 (2009) .
Gaspar-Maia, A., Alajem, A., Meshorer, E. & Ramalho-Santos, M. Open chromatin in pluripotency and reprogramming. Nat. Rev. Mol. Cell Biol. 12, 36–47 (2011) .
Flynn, R. A. & Chang, H. Y. Active chromatin and noncoding RNAs: an intimate relationship. Curr. Opin. Genet. Dev. 22, 172–178 (2012) .
Baek, S. H. When ATPases pontin and reptin met telomerase. Dev. Cell 14, 459–461 (2008) .
Gallant, P. Control of transcription by Pontin and Reptin. Trends Cell Biol. 17, 187–192 (2007) .
Jha, S. & Dutta, A. RVB1/RVB2: running rings around molecular biology. Mol. Cell 34, 521–533 (2009) .
Lee, J. S. et al. Hypoxia-induced methylation of a pontin chromatin remodeling factor. Proc. Natl Acad. Sci. USA 108, 13510–13515 (2011) .
Kim, J. H. et al. SUMOylation of pontin chromatin-remodeling complex reveals a signal integration code in prostate cancer cells. Proc. Natl Acad. Sci. USA 104, 20793–20798 (2007) .
Feng, Y., Lee, N. & Fearon, E. R. TIP49 regulates beta-catenin-mediated neoplastic transformation and T-cell factor target gene induction via effects on chromatin remodeling. Cancer Res. 63, 8726–8734 (2003) .
Kim, J. H. et al. Transcriptional regulation of a metastasis suppressor gene by Tip60 and beta-catenin complexes. Nature 434, 921–926 (2005) .
Ikura, T. et al. Involvement of the TIP60 histone acetylase complex in DNA repair and apoptosis. Cell 102, 463–473 (2000) .
Kim, J. K. et al. Srg3, a mouse homolog of yeast SWI3, is essential for early embryogenesis and involved in brain development. Mol. Cell Biol. 21, 7787–7795 (2001) .
Roberts, C. W., Galusha, S. A., McMenamin, M. E., Fletcher, C. D. & Orkin, S. H. Haploinsufficiency of Snf5 (integrase interactor 1) predisposes to malignant rhabdoid tumors in mice. Proc. Natl Acad. Sci. USA 97, 13796–13800 (2000) .
Bultman, S. et al. A Brg1 null mutation in the mouse reveals functional differences among mammalian SWI/SNF complexes. Mol. Cell 6, 1287–1295 (2000) .
Bereshchenko, O. et al. Pontin is essential for murine hematopoietic stem cell survival. Haematologica 97, 1291–1294 (2012) .
Huang, D. W., Sherman, B. T. & Lempicki, R. A. Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources. Nat. Protoc. 4, 44–57 (2009) .
Chen, P. B. et al. Hdac6 regulates Tip60-p400 function in stem cells. Elife 2, e01557 (2013) .
Niwa, H., Miyazaki, J. & Smith, A. G. Quantitative expression of Oct-3/4 defines differentiation, dedifferentiation or self-renewal of ES cells. Nat. Genet. 24, 372–376 (2000) .
Martello, G. et al. Esrrb is a pivotal target of the Gsk3/Tcf3 axis regulating embryonic stem cell self-renewal. Cell Stem Cell 11, 491–504 (2012) .
Whyte, W. A. et al. Enhancer decommissioning by LSD1 during embryonic stem cell differentiation. Nature 482, 221–225 (2012) .
Lister, R. et al. Human DNA methylomes at base resolution show widespread epigenomic differences. Nature 462, 315–322 (2009) .
Wang, L. et al. CPAT: Coding-Potential Assessment Tool using an alignment-free logistic regression model. Nucleic Acids Res. 41, e74 (2013) .
Boyer, L. A. et al. Polycomb complexes repress developmental regulators in murine embryonic stem cells. Nature 441, 349–353 (2006) .
Kaneko, S. et al. Interactions between JARID2 and noncoding RNAs regulate PRC2 recruitment to chromatin. Mol. Cell 53, 290–300 (2014) .
Gupta, R. A. et al. Long non-coding RNA HOTAIR reprograms chromatin state to promote cancer metastasis. Nature 464, 1071–1076 (2010) .
Nagano, T. et al. The Air noncoding RNA epigenetically silences transcription by targeting G9a to chromatin. Science 322, 1717–1720 (2008) .
Bartolomei, M. S., Zemel, S. & Tilghman, S. M. Parental imprinting of the mouse H19 gene. Nature 351, 153–155 (1991) .
Brockdorff, N. et al. Conservation of position and exclusive expression of mouse Xist from the inactive X chromosome. Nature 351, 329–331 (1991) .
Willingham, A. T. et al. A strategy for probing the function of noncoding RNAs finds a repressor of NFAT. Science 309, 1570–1573 (2005) .
Klattenhoff, C. A. et al. Braveheart, a long noncoding RNA required for cardiovascular lineage commitment. Cell 152, 570–583 (2013) .
Kretz, M. et al. Control of somatic tissue differentiation by the long non-coding RNA TINCR. Nature 493, 231–235 (2013) .
O’Carroll, D. et al. The polycomb-group gene Ezh2 is required for early mouse development. Mol. Cell Biol. 21, 4330–4336 (2001) .
Endoh, M. et al. Polycomb group proteins Ring1A/B are functionally linked to the core transcriptional regulatory circuitry to maintain ES cell identity. Development 135, 1513–1524 (2008) .
Lubitz, S., Glaser, S., Schaft, J., Stewart, A. F. & Anastassiadis, K. Increased apoptosis and skewed differentiation in mouse embryonic stem cells lacking the histone methyltransferase Mll2. Mol. Biol. Cell 18, 2356–2366 (2007) .
Loh, Y. H. et al. The Oct4 and Nanog transcription network regulates pluripotency in mouse embryonic stem cells. Nat. Genet. 38, 431–440 (2006) .
Cabianca, D. S. et al. A long ncRNA links copy number variation to a polycomb/trithorax epigenetic switch in FSHD muscular dystrophy. Cell 149, 819–831 (2012) .
Martin, M. Cutadapt removes adapter sequences from high-throughput sequencing reads. EMBnet. J. 17, 10–12 (2011) .
Trapnell, C., Pachter, L. & Salzberg, S. L. TopHat: discovering splice junctions with RNA-Seq. Bioinformatics 25, 1105–1111 (2009) .
Langmead, B. & Salzberg, S. L. Fast gapped-read alignment with Bowtie 2. Nat. Methods 9, 357–359 (2012) .
Robinson, M. D. & Oshlack, A. A scaling normalization method for differential expression analysis of RNA-seq data. Genome Biol. 11, R25 (2010) .
Robinson, M. D., McCarthy, D. J. & Smyth, G. K. edgeR: a Bioconductor package for differential expression analysis of digital gene expression data. Bioinformatics 26, 139–140 (2010) .
Hwang, D. et al. A data integration methodology for systems biology. Proc. Natl Acad. Sci. USA 102, 17296–17301 (2005) .
Wu, Z., Irizarry, R. A., Gentleman, R., Martinez-Murillo, F. & Spencer, F. A model-based background adjustment for oligonucleotide expression arrays. J. Am. Stat. Assoc. 99, 909–917 (2004) .
Heintzman, N. D. et al. Histone modifications at human enhancers reflect global cell-type-specific gene expression. Nature 459, 108–112 (2009) .
Barski, A. et al. High-resolution profiling of histone methylations in the human genome. Cell 129, 823–837 (2007) .
Jang, H. et al. O-GlcNAc regulates pluripotency and reprogramming by directly acting on core components of the pluripotency network. Cell Stem Cell 11, 62–74 (2012) .
ZHBTc4 ES cells were kindly provided by Hitoshi Niwa (Cell Bank-RIKEN, Japan). This work was supported by Creative Research Initiatives Program (Research Center for Chromatin Dynamics, 2009-0081563) to S.H.B. and, Institute for Basic Science to D.H. (IBS-R013-G1-2015-a00) and V.N.K (IBS-R008-D1) from the National Research Foundation (NRF) grant funded by the Korea government (MSIP). H.L. was supported by the National Cancer Center Grant (NCC-1310100).
The authors declare no competing financial interests.
Supplementary Figures 1-5 and Supplementary Table 1 (PDF 1181 kb)
Summary of the alignment results for mRNA- and ChIP-sequencing data. Among the raw reads generated from Illumina Hiseq-2000 (WT, Pontin-depleted, and Oct4-depleted ES cells) and Hiseq-2500 (linc1253 knockdown along with Mock ES cells, Pontin ChIP along with GFP ChIP) in the each sample, the reads after trimming low quality and adapter sequences were used (Used reads) for the alignment. On average, each 96.2 % and 94.3 % (Mapping rate) of the reads (Mapped reads) for mRNA- and ChIP-sequencing data were aligned to a reference mouse genome (Ensembl NCBIM37). Of the mapped reads, each 96.5 % and 70.3 % (Unique mapping rate) for mRNA- and ChIP-sequencing data were aligned to unique location (Uniquely mapped reads) in the genome. Exom Coverage denotes the fold of coverage of the mapped reads for the annotated exon region. (XLS 31 kb)
GOBPs represented by the genes affected by Pontin-depletion, Oct4-depletion, or linc1253 knockdown in ES cells. The GOBPs represented by the up-regulated genes in Pontin-depleted (a), Oct4-depleted (c), both Pontin- and Oct4-depleted (e), and linc1253 knockdown ES cells (g). In parallel, the GOBPs represented by the down-regulated genes in Pontin-depleted (b), Oct4-depleted (c), both Pontin- and Oct4- depleted (f), and linc1253 knockdown ES cells (h) are included. The count of the genes involved in each GOBP is shown. Finally, the GOBPs with p-value<0.1 (default cutoff in DAVID software) and Count>2 were determined as the ones significantly represented by the genes affected by Pontin or both Pontin and Oct4. Among the GOBPs, the colored GOBPs (a, b, e, and f) are representatives included in Figure 2b. (XLS 309 kb)
List of genes affected by Pontin-depletion, Oct4-depletion, and linc1253 knockdown in ES cells. Up- and down-regulation of the DEGs in Pontin- or Oct4-depleted ES cells and their log2-fold-changes in the following comparisons are shown: (1 and 2) Pontin-depleted ES cells (OHT 3D or 4D) and (3) Oct4-depleted ES cells (Tc 2D) versus WT ES cells (a). Up- and down-regulation of the DEGs in linc1253 knockdown ES cells and their log2-fold-changes are shown (b). (XLS 1588 kb)
LincRNAs expressed in ES cells affected by Pontin or Oct4 depletion . Up- and down-regulation of lincRNAs differentially expressed in Pontin-depleted (OHT 3D and 4D) or Oct4-depleted ES cells, compared to WT ES cells, and their log2-fold-changes are shown. (XLS 39 kb)
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Boo, K., Bhin, J., Jeon, Y. et al. Pontin functions as an essential coactivator for Oct4-dependent lincRNA expression in mouse embryonic stem cells. Nat Commun 6, 6810 (2015). https://doi.org/10.1038/ncomms7810
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