IDENTIFICATION OF FACTORS INVOLVED IN DNA METHYLATION OF CPG-ISLAND-PROMOTERS

Repression of many tumor suppressor genes (TSGs) in cancer is mediated by aberrantly increased DNA methylation levels at promoter CpG islands (CGI). About one-fourth of empirically defined human promoters are surrounded by or contain clustered repetitive elements. It was previously observed that a sharp transition of methylation occurs between highly methylated repetitive elements (SINE or LINE) and unmethylated CGI-promoters (e.g. P16, VHL, CDH and RIL) in normal tissues. The functions that lead to increased CGI methylation in cancer remain poorly understood. We propose that CGI-promoters contain cis-elements for triggering de novo DNA methylation. In the first part of our project, we established a site-specific integration system with enforced local transcriptional repression in colorectal cancer cells and monitored the occurrence of de novo DNA methylation in exogenous fragments containing a CGI-promoter and repetitive elements. Initial de novo methylation was seeded at specific CG sites in a repetitive element, and accelerated by persistent binding of a KRAB-containing transcriptional repressor. Furthermore, additional repetitive elements (LINE and SINE) located adjacent to the promoter could confer DNA methylation spreading into the CGI particularly in the setting of KRAB-factor binding. However, a repressive chromatin alone was not sufficient to initiate DNA methylation, which required specific DNA sequences and was integration-site (and/or cell-line) specific. In addition, all the methylation observed showed slow and gradual accumulation over several months of culture. Overall, these results demonstrate a requirement for specific DNA sequences to trigger de novo DNA methylation, and repetitive elements as cis-regulatory factors to cooperate with strengthened transcriptional repression in promoting methylation spreading. In the second part, we re-introduced disrupted DNMT3B or DNMT1 into HCT116 DKO cells and mapped the remethylation pattern through a profiling method (DREAM). Moderate remethylation occurred when DNMT3B was re-expressed with a preference toward non-CGI and non-promoter regions. Hence, there exists a set of genomic regions with priority to be targets for DNMT3B in somatic cells.

ABERRATIONS OF A PUTATIVE TUMOR SUPPRESSOR GENE SEL1L IN PANCREATIC DUCTAL ADENOCARCINOMA

Introduction: Pancreatic cancer is the fourth leading cause of cancer-related death among males and females in the United States. Sel-1-like (SEL1L) is a putative tumor suppressor gene that is downregulated in a significant proportion of human pancreatic ductal adenocarcinoma (PDAC). It was hypothesized that SEL1L expression could be down-modulated by somatic mutation, loss of heterozygosity (LOH), CpG island hypermethylation and/or aberrantly expressed microRNAs (miRNAs). Material and methods: In 42 PDAC tumors, the SEL1L coding region was amplified using reverse transcription polymerase chain reaction (RT-PCR), and analyzed by agarose gel electrophoresis and sequenced to search for mutations. Using fluorescent fragment analysis, two intragenic microsatellites in the SEL1L gene region were examined to detect LOH in a total of 73 pairs of PDAC tumors and normal-appearing adjacent tissues. Bisulfite DNA sequencing was performed to determine the methylation status of the SEL1L promoter in 41 PDAC tumors and 6 PDAC cell lines. Using real-time quantitative PCR, the expression levels of SEL1L mRNA and 7 aberrantly upregulated miRNAs that potentially target SEL1L were assessed in 42 PDAC tumor and normal pairs. Statistical methods were applied to evaluate the correlation between SEL1L mRNA and the miRNAs. Further the interaction was determined by functional analysis using a molecular biological approach. Results: No mutations were detected in the SEL1L coding region. More than 50% of the samples displayed abnormally alternate or aberrant spliced transcripts of SEL1L. About 14.5% of the tumors displayed LOH at the CAR/CAL microsatellite locus and 10.7% at the RepIN20 microsatellite locus. However, the presence of LOH did not show significant association with SEL1L downregulation. No methylation was observed in the SEL1L promoter. Statistical analysis showed that SEL1L mRNA expression levels significantly and inversely correlated with the expression of hsa-mir-143, hsa-mir-155, and hsa-mir-223. Functional analysis indicated that hsa-mir-155 acted as a suppressor of SEL1L in PL18 and MDAPanc3 PDAC cell lines. Discussion: Evidence from these studies suggested that SEL1L was possibly downregulated by aberrantly upregulated miRNAs in PDAC. Future studies should be directed towards developing a better understanding of the mechanisms for generation of aberrant SEL1L transcripts, and further analysis of miRNAs that may downregulate SEL1L.

An Sp1/Sp3 site polymorphism associated with hypermethylation of the candidate tumor suppressor gene RIL in cancer

Gene silencing due to promoter methylation is an alternative to mutations and deletions, which inactivate tumor suppressor genes (TSG) in cancer. We identified RIL by Methylated CpG Island Amplification technique as a novel aberrantly methylated gene. RIL is expressed in normal tissues and maps to the 5q31 region, frequently deleted in leukemias. We found methylation of RIL in 55/80 (69%) cancer cell lines, with highest methylation in leukemia and colon. We also observed methylation in 46/80 (58%) primary tumors, whereas normal tissues showed substantially lower degrees of methylation. RIL expression was lost in 13/16 cancer cell lines and was restored by demethylating agent. Screening of 38 cell lines and 13 primary cancers by SSCP revealed no mutations in RIL, suggesting that methylation and LOH are the primary inactivation mechanisms. Stable transfection of RIL into colorectal cancer cells resulted in reduction in cell growth, clonogenicity, and increased apoptosis upon UVC treatment, suggesting that RIL is a good candidate TSG. ^ In searching for a cause of RIL hypermethylation, we identified a 12-bp polymorphic sequence around the transcription start site of the gene that creates a long allele containing 3CTC repeat. Evolutionary studies suggested that the long allele appeared late in evolution due to insertion. Using bisulfite sequencing, in cancers heterozygous for RIL, we found that the short allele is 4.4-fold more methylated than the long allele (P = 0.003). EMSA results suggested binding of factor(s) to the inserted region of the long allele, but not to the short. EMSA mutagenesis and competition studies, as well as supershifts using nuclear extracts or recombinant Sp1 strongly indicated that those DNA binding proteins are Sp1 and Sp3. Transient transfections of RIL allele-specific expression constructs showed less than 2-fold differences in luciferase activity, suggesting no major effects of the additional Sp1 site on transcription. However, stable transfection resulted in 3-fold lower levels of transcription from the short allele 60 days post-transfection, consistent with the concept that the polymorphic Sp1 site protects against time-dependent silencing. Thus, an insertional polymorphism in the RIL promoter creates an additional Sp1/Sp3 site, which appears to protect it from silencing and methylation in cancer. ^

The effect of DNA methylation in carcinogenesis

CpG island methylation within single gene promoters can silence expression of associated genes. We first extended these studies to bidirectional gene pairs controlled by single promoters. We showed that hypermethylation of bidirectional promoter-associated CpG island silences gene pairs (WNT9A/CD558500, CTDSPL/BC040563, and KCNK15/BF 195580) simultaneously. Hypomethylation of these promoters by 5-aza-2'-deoxycytidine treatment reactivated or enhanced gene expression bidirectionally. These results were further confirmed by luciferase assays. Methylation of WNT9A/CD558500 and CTDSPL/BC040563 promoters occurs frequently in primary colon cancers and acute lymphoid leukemia, respectively. ^ Next we sought to understand the origins of hypermethylation in cancer. CpG islands associated with tumor suppressor genes are normally free from methylation, but can be hypermethylated in cancer. It remains poorly understood how these genes are protected from methylation in normal tissues. In our studies, we aimed to determine if cis-acting elements in these genes are responsible for this protection, using the tumor suppressor gene p16 as a model. We found that Alu repeats located both upstream and downstream of the p16 promoter become hypermethylated with age. In colon cancer samples, the methylation level is particularly high, and the promoter can also be affected. Therefore, the protection in the promoter against methylation spreading could fail during tumorigenesis. This methylation pattern in p16 was also observed in cell lines of different tissue origins, and their methylation levels were found to be inversely correlated with that of active histone modification markers (H3K4-3me and H3K9-Ac). To identify the mechanism of protection against methylation spreading, we constructed serial deletions of the p16 protected region and used silencing of a neomycin reporter gene to evaluate the protective effects of these fragments. A 126 bp element was identified within the region which exerts bidirectional protection against DNA methylation, independently of its transcriptional activity. The protective strength of this element is comparable to that of the HS4 insulator. During long-term culture, the presence of this element significantly slowed methylation spreading. In conclusion, we have found that an element located in the p16 promoter is responsible for protection against DNA methylation spreading in normal tissues. The failure of protective cis-elements may be a general feature of tumor-suppressor gene silencing during tumorigenesis. ^

DNA methylation inhibits p53 mediated survivin repression in cancer cells

Survivin (BIRC5) is a member of the Inhibitor of Apoptosis (IAP) gene family and functions as a chromosomal passenger protein as well as a mediator of cell survival. Survivin is widely expressed during embryonic development then becomes transcriptionally silent in most highly differentiated adult tissues. It is also overexpressed in virtually every type of tumor. The survivin promoter contains a canonical CpG island that has been described as epigenetically regulated by DNA methylation. We observed that survivin is overexpressed in high grade, poorly differentiated endometrial tumors, and we hypothesized that DNA hypomethylation could explain this expression pattern. Surprisingly, methylation specific PCR and bisulfite pyrosequencing analysis showed that survivin was hypermethylated in endometrial tumors and that this hypermethylation correlated with increased survivin expression. We proposed that methylation could activate survivin expression by inhibit the binding of a transcriptional repressor. ^ The tumor suppressor protein p53 is a well documented transcriptional repressor of survivin and examination of the survivin promoter showed that the p53 binding site contains 3 CpG sites which often become methylated in endometrial tumors. To determine if methylation regulates survivin expression, we treated HCT116 cells with decitabine, a demethylation agent, and observed that survivin transcript and protein levels were significantly repressed following demethylation in a p53 dependent manner. Subsequent binding studies confirmed that DNA methylation inhibited the binding of p53 protein to its binding site in the survivin promoter. ^ We are the first to report this novel mechanism of epigenetic regulation of survivin. We also conducted microarray analysis which showed that many other cancer relevant genes may also be regulated in this manner. While demethylation agents are traditionally thought to inhibit cancer cell growth by reactivating tumor suppressors, our results indicate that an additional important mechanism is to decrease the expression of oncogenes. ^

RNA-SEQUENCING APPLICATIONS: GENE EXPRESSION QUANTIFICATION AND METHYLATOR PHENOTYPE IDENTIFICATION

My dissertation focuses on two aspects of RNA sequencing technology. The first is the methodology for modeling the overdispersion inherent in RNA-seq data for differential expression analysis. This aspect is addressed in three sections. The second aspect is the application of RNA-seq data to identify the CpG island methylator phenotype (CIMP) by integrating datasets of mRNA expression level and DNA methylation status. Section 1: The cost of DNA sequencing has reduced dramatically in the past decade. Consequently, genomic research increasingly depends on sequencing technology. However it remains elusive how the sequencing capacity influences the accuracy of mRNA expression measurement. We observe that accuracy improves along with the increasing sequencing depth. To model the overdispersion, we use the beta-binomial distribution with a new parameter indicating the dependency between overdispersion and sequencing depth. Our modified beta-binomial model performs better than the binomial or the pure beta-binomial model with a lower false discovery rate. Section 2: Although a number of methods have been proposed in order to accurately analyze differential RNA expression on the gene level, modeling on the base pair level is required. Here, we find that the overdispersion rate decreases as the sequencing depth increases on the base pair level. Also, we propose four models and compare them with each other. As expected, our beta binomial model with a dynamic overdispersion rate is shown to be superior. Section 3: We investigate biases in RNA-seq by exploring the measurement of the external control, spike-in RNA. This study is based on two datasets with spike-in controls obtained from a recent study. We observe an undiscovered bias in the measurement of the spike-in transcripts that arises from the influence of the sample transcripts in RNA-seq. Also, we find that this influence is related to the local sequence of the random hexamer that is used in priming. We suggest a model of the inequality between samples and to correct this type of bias. Section 4: The expression of a gene can be turned off when its promoter is highly methylated. Several studies have reported that a clear threshold effect exists in gene silencing that is mediated by DNA methylation. It is reasonable to assume the thresholds are specific for each gene. It is also intriguing to investigate genes that are largely controlled by DNA methylation. These genes are called “L-shaped” genes. We develop a method to determine the DNA methylation threshold and identify a new CIMP of BRCA. In conclusion, we provide a detailed understanding of the relationship between the overdispersion rate and sequencing depth. And we reveal a new bias in RNA-seq and provide a detailed understanding of the relationship between this new bias and the local sequence. Also we develop a powerful method to dichotomize methylation status and consequently we identify a new CIMP of breast cancer with a distinct classification of molecular characteristics and clinical features.