Non-random, individual-specific methylation profiles are present at the sixth CTCF binding site in the human H19/IGF2 imprinting control region

CGGBP1-regulated cytosine methylation at CTCF-binding motifs resists stochasticity

Background

The human CGGBP1 binds to GC-rich regions and interspersed repeats, maintains homeostasis of stochastic cytosine methylation and determines DNA-binding of CTCF. Interdependence between regulation of cytosine methylation and CTCF occupancy by CGGBP1 remains unknown.

Results

By analyzing methylated DNA-sequencing data obtained from CGGBP1-depleted cells, we report that some transcription factor-binding sites, including CTCF, resist stochastic changes in cytosine methylation. By analysing CTCF-binding sites we show that cytosine methylation changes at CTCF motifs caused by CGGBP1 depletion resist stochastic changes. These CTCF-binding sites are positioned at locations where the spread of cytosine methylation in cis depends on the levels of CGGBP1.

Conclusion

Our findings suggest that CTCF occupancy and functions are determined by CGGBP1-regulated cytosine methylation patterns.

A Common Polymorphism within the IGF2 Imprinting Control Region Is Associated with Parent of Origin Specific Effects in Infantile Hemangiomas

Infantile hemangioma (IH) is the most common tumor of the pediatric age group, affecting up to 4% of newborns ranging from inconsequential blemishes, to highly aggressive tumors. Following well defined growth phases (proliferative, plateau involutional) IH usually regress into a fibro-fatty residuum. Despite the high prevalence of IH, little is known regarding the pathogenesis of disease. A reported six fold decrease in IGF2 expression (correlating with transformation of proliferative to involuted lesions) prompted us to study the IGF-2 axis further. We demonstrate that IGF2 expression in IH is strongly related to the expression of a cancer testes and suspected oncogene BORIS (paralog of CTCF), placing IH in the unique category of being the first known benign BORIS positive tumor. IGF2 expression was strongly and positively related to BORIS transcript expression. Furthermore, a stronger association was made when comparing BORIS levels against the expression of CTCF via either a percentage or difference between the two. A common C/T polymorphism at CTCF BS6 appeared to modify the correlation between CTCF/BORIS and IGF2 expression in a parent of origin specific manner. Moreover, these effects may have phenotypic consequences as tumor growth also correlates with the genotype at CTCF BS6. This may provide a framework for explaining the clinical variability seen in IH and suggests new insights regarding CTCF and BORIS related functionality in both normal and malignant states.

Discovering implicit entity relation with the gene-citation-gene network

In this paper, we apply the entitymetrics model to our constructed Gene-Citation-Gene (GCG) network. Based on the premise there is a hidden, but plausible, relationship between an entity in one article and an entity in its citing article, we constructed a GCG network of gene pairs implicitly connected through citation. We compare the performance of this GCG network to a gene-gene (GG) network constructed over the same corpus but which uses gene pairs explicitly connected through traditional co-occurrence. Using 331,411 MEDLINE abstracts collected from 18,323 seed articles and their references, we identify 25 gene pairs. A comparison of these pairs with interactions found in BioGRID reveal that 96% of the gene pairs in the GCG network have known interactions. We measure network performance using degree, weighted degree, closeness, betweenness centrality and PageRank. Combining all measures, we find the GCG network has more gene pairs, but a lower matching rate than the GG network. However, combining top ranked genes in both networks produces a matching rate of 35.53%. By visualizing both the GG and GCG networks, we find that cancer is the most dominant disease associated with the genes in both networks. Overall, the study indicates that the GCG network can be useful for detecting gene interaction in an implicit manner.

Functional DNA methylation differences between tissues, cell types, and across individuals discovered using the M&M algorithm

DNA methylation plays key roles in diverse biological processes such as X chromosome inactivation, transposable element repression, genomic imprinting, and tissue-specific gene expression. Sequencing-based DNA methylation profiling provides an unprecedented opportunity to map and compare complete DNA methylomes. This includes one of the most widely applied technologies for measuring DNA methylation: methylated DNA immunoprecipitation followed by sequencing (MeDIP-seq), coupled with a complementary method, methylation-sensitive restriction enzyme sequencing (MRE-seq). A computational approach that integrates data from these two different but complementary assays and predicts methylation differences between samples has been unavailable. Here, we present a novel integrative statistical framework M&M (for integration of MeDIP-seq and MRE-seq) that dynamically scales, normalizes, and combines MeDIP-seq and MRE-seq data to detect differentially methylated regions. Using sample-matched whole-genome bisulfite sequencing (WGBS) as a gold standard, we demonstrate superior accuracy and reproducibility of M&M compared to existing analytical methods for MeDIP-seq data alone. M&M leverages the complementary nature of MeDIP-seq and MRE-seq data to allow rapid comparative analysis between whole methylomes at a fraction of the cost of WGBS. Comprehensive analysis of nineteen human DNA methylomes with M&M reveals distinct DNA methylation patterns among different tissue types, cell types, and individuals, potentially underscoring divergent epigenetic regulation at different scales of phenotypic diversity. We find that differential DNA methylation at enhancer elements, with concurrent changes in histone modifications and transcription factor binding, is common at the cell, tissue, and individual levels, whereas promoter methylation is more prominent in reinforcing fundamental tissue identities.

Methylation profiling in individuals with Russell-Silver syndrome

Russell-Silver syndrome (RSS) is a heterogeneous disorder associated with pre- and post-natal growth restriction and relative macrocephaly. Involvement of imprinted genes on both chromosome 7 and 11p15.5 has been reported. To further characterize the role of epimutations in RSS we evaluated the methylation status at both 11p15.5 imprinting control regions (ICRs): ICR1 associated with H19/IGF2 expression and ICR2 (KvDMR1) associated with CDKN1C expression in a series of 35 patients with RSS. We also evaluated methylation at the promoter regions of other imprinted genes involved in growth such as PLAGL1 (6q24), GCE (7q21), and PEG10 (7q21) in this series of 35 patients with RSS. Thirteen of the 35 patient samples, but none of 22 controls, showed methylation levels at ICR1 that were more than 2 SD below the mean for controls. Three RSS patients were highly methylated at the SCGE promoter, all of which were diagnosed with upd(7)mat. To identify further potential global methylation changes in RSS patients, a subset of 22 patients were evaluated at 1505 CpG sites by the Illumina GoldenGate methylation array. Among the few CpG sites displaying a significant difference between RSS patients and controls, was a CpG associated with the H19 promoter. No other sites associated with known imprinted genes were identified as abnormally methylated in RSS patients by this approach. While the association of hypomethylation of the H19/IGF2 ICR1 is clear, the continuous distribution of methylation values among the patients and controls complicates the establishment of clear cut-offs for clinical diagnosis.

IGF2/H19 hypomethylation in Silver-Russell syndrome and isolated hemihypoplasia

Silver-Russell syndrome (SRS) is a clinically and genetically heterogeneous syndrome characterized by severe pre and postnatal growth retardation, body asymmetry and a typical facial phenotype with a triangular face and relative macrocephaly. In 30% of patients, the differentially methylated IGF2/H19 imprinting center region (ICR1) on chromosome 11p15 was found to be hypomethylated, as determined by Southern blot analysis of an HpaII restriction site close to the third CTCF-binding site (CTS3) within ICR1. Using bisulfite treatment and a real-time PCR-based methylation assay (QAMA), we analyzed the third and sixth CTCF-binding sites (CTS3, CTS6) in 5 patients with CTS3 hypomethylation, in 14 patients who were suspected to have SRS but were normal by Southern blot analysis, and in 1 patient with body asymmetry without any other features of SRS or Beckwith-Wiedemann syndrome (BWS). In all 5 patients with CTS3 hypomethylation, in 5 of 14 patients who were judged to be normal at CTS3 by Southern blot analysis and in the patient with isolated body asymmetry, we found CTS3 and CTS6 hypomethylation by QAMA. Using methylation-specific multiplex ligation-dependent probe amplification (MS-MLPA), we obtained similar results at four additional ICR1 sites in the CTS6 region. These results show that ICR1 hypomethylation occurs more often in SRS patients than as previously thought as well as in isolated hemihypoplasia. Furthermore, we show that methylation analysis by QAMA and MLPA is more sensitive in detecting ICR1 hypomethylation than Southern blot analysis of CTS3.

Are postnatal hemangioblasts generated by dedifferentiation from committed hematopoietic stem cells?

Cell dedifferentiation occurs in different cell systems. In spite of a relative paucity of data it seems reasonable to assume that cell dedifferentiation exists in reversible equilibrium with differentiation, to which cells resort in response to intercellular signals. The current literature is indeed compatible with the concept that dedifferentiation is guided by structural rearrangements of nuclear chromatin, directed by epigenetic cell memory information available as silenced genes stored on heterochromatin, and that gene transcription exists in reversible "fluctuating continua" during parental cell cycles. Here, we review the molecular mechanisms of cell dedifferentiation and suggest for hematopoietic development that postnatal hemangioblasts are generated by dedifferentiation of committed hematopoietic stem cells.

Mechanisms causing imprinting defects in familial Beckwith-Wiedemann syndrome with Wilms' tumour

The imprinted expression of the IGF2 and H19 genes is controlled by the Imprinting Centre 1 (IC1) at chromosome 11p15.5. This is a methylation-sensitive chromatin insulator that works by binding the zinc-finger protein CTCF in a parent-specific manner. Microdeletions abolishing some of the CTCF target sites (CTSs) of IC1 have been associated with the Beckwith-Wiedemann syndrome (BWS). However, the link between these mutations and the molecular and clinical phenotypes was debated. We have identified two novel families with IC1 deletions, in which individuals with the clinical features of the BWS are present in multiple generations. By analysing the methylation pattern at the IGF2-H19 locus together with the clinical phenotypes in the individuals with maternal and those with paternal transmission of five different deletions, we demonstrate that maternal transmission of 1.4-1.8 kb deletions in the IC1 region co-segregates with the hypermethylation of the residual CTSs and BWS phenotype with complete penetrance, whereas normal phenotype is observed upon paternal transmission. Although gene expression could not be assayed in all cases, the methylation detected at the IGF2 DMR2 and H19 promoter suggests that IC1 hypermethylation is consistently associated with biallelic activation of IGF2 and biallelic silencing of H19. Comparison of these deletions with a 2.2 kb one previously reported by another group indicates that the spacing of the CTSs on the deleted allele is critical for the gain of the abnormal methylation and penetrance of the clinical phenotype. Furthermore, we observe that the hypermethylation resulting from the deletions is always mosaic, suggesting that the epigenetic defect at the IGF2-H19 locus is established post-zygotically and may cause body asymmetry and heterogeneity of the clinical phenotype. Finally, the IC1 microdeletions are associated with a high incidence of Wilms' tumour, making their molecular diagnosis particularly important for genetic counselling and tumour surveillance at follow-up.

The constant variation: DNA methylation changes during preimplantation development

Studies on the DNA methylation changes in the mouse preimplantation embryo suggested a simple and attractive model explaining the process believed to be general in mammals. However, recent reports revealed marked differences between different species that abrogates the universal validity of the model. In order to find an explanation to the differences, we have analyzed the published mouse data and compared them to the observations available in other species. The emerging common theme is the high variability of the methylation at all scales of observation and all levels of organization. This variability is the likely consequence of a dynamic and active redistribution process of the cytosine methylation in the genome.