Previous research performed in 1999 by Harris et al. has shown that many varieties of ruminants serve as the host species for Mycobacterium avium subspecies paratuberculosis (MparaTb) infections. Gene sequencing has supported the contention that organisms isolated from different hosts harbor different gene sequences; this has been exemplified by Amonsin et al. in 2004 with the sequencing of the mfd (transcription-repair coupling factor) and by Motiwala et al. in 2005 through sequence analysis of phosphatidylethanolaminebinding proteins which reveal a host-specific correlation of isolates. Some contradicting reports from Bannantine et al. from 2003 have further claimed that MparaTb is a monogenic organism based upon sequence data from regions flanking the origin of replication and the 16s rRNA. One of the drawbacks to the techniques implemented in these reports is the extremely restricted region of the bacterial genome that was analyzed; furthermore, only a select number of isolates were analyzed. In the present studies, amplified fragment length polymorphism (AFLP) was used as a tool for a genome scale comparison of MparaTb isolates from differing isolation types as well as a comparison of MparaTb isolates to the genetically similar yet avirulent Mycobacterium avium subspecies avium isolates. AFLP data reveals the MparaTb genome to be much more plastic and polymorphic than previously thought. These polymorphic regions were identified and characterized and are shown to be unique to the organism when compared to an array of Mycobacterial isolates of differing species. These polymorphic regions were also utilized in polymerase chain reaction (PCR) based diagnostic as well as epidemiologic tests. Furthermore, AFLP comparative analysis of intracellular and fecal MparaTb isolates reveals polymorphic regions unique to each isolate type. While these genomic differences are not based upon differences in the genetic code, they are based upon epigenetic modifications such as DNA methylation. These DNA methylation patterns are unique to intracellular MparaTb isolates as opposed to isolates from fecal material. Furthermore, AFLP comparisons of fecal MparaTb isolates that were passaged through the bovine ileum revealed banding pattern differences as compared to the original inoculum.

Meiosis, the core engine of sexual reproduction, is a complex process that results in the production of recombinant haploid genomes. In the meioses of Neurospora, worms and mice, gene expression from DNA that lacks a pairing partner is silenced. We posit that this is a two-step process. First, a process called meiotic trans-sensing compares the chromosomes from each parent and identifies significant differences as unpaired DNA. Second, if unpaired DNA is identified, a process called meiotic silencing inhibits expression of genes within the unpaired region and regions sharing sequence identity. Meiotic silencing is mechanistically most likely related to RNAi in other eukaryotes. We used a combination of forward and reverse genetic strategies aimed at understanding the mechanisms of meiotic trans-sensing and meiotic silencing. Here, we present genetic evidence that arguably differentiates the meiotic transsensing step from meiotic silencing, by demonstrating that DNA methylation affects sensing of specific allele-types without interfering with silencing in general. We also determined that DNA sequence is an important parameter scrutinized during meiotic trans-sensing. This, and other observations, led us to hypothesize meiotic recombination as the mechanism for meiotic trans-sensing. However, we find that mutants of key genes required for recombination and chromosome pairing are not required for locus-specific meiotic silencing. We conclude that two interesting possibilities remain: meiotic trans-sensing occurs through a previously uncharacterized recombination pathway or chromosomal regions are carefully compared in the absence of recombination. Finally, forward genetics revealed a novel component of meiotic silencing, Sms-4, encoding the Neurospora ortholog of mammalian mRNP component ELG protein. Unlike previous loss-of-function mutants that abate meiotic silencing by unpaired DNA, Sms-4 is not required for successful meiosis, showing that meiosis and meiotic silencing are distinct, yet overlapping, phenomena. Intriguingly, SMS-4 is the first component to be localized with bulk chromatin in the nucleus, presumably the site of trans-sensing. Finally, we carried out a critical examination of the current evidence in the field and present alternative models for meiotic trans-sensing and meiotic silencing in Neurospora.

The RCg2 promoter was identified in a search for root-specific genes to combat the rice water weevil (RWW) but expressed at low frequency (~10%). Spatial expression of RCg2 was investigated using two reporter constructs YXA (RCg2-gus-ocs) and YXB (RCg2-gus-RCg2) that included 1.6 kb of the RCg2 5' sequence fused to the ?-glucuronidase (gus) coding region. YXB plants were generated via Agrobacterium-mediated transformation but only 8 of 158 plants analyzed showed strong GUS activity despite the presence of an intact construct. Reactivation of RCg2 gene in rice was investigated by treatment of R0 and R1 of YXB transgenic plants with 5-azacytidine. Reactivation of RCg2-gus was observed in some transgenic plants indicating different mechanisms involved in the gene silencing of the YXB lines. DNA methylation analysis, northern blotting, RT-PCR and small RNA analysis supported the conclusion that PTGS and TGS are present in the silenced plants. Promoter analysis in silico and using promoter deletion assays predicted that the RCg2 promoter contains a complex region that includes miRNA homologs, MITEs and repetitive sequences. The high frequency of promoter-related silencing suggests functional interactions of these elements of the transgene and the homologous endogenous gene. To identify key elements contributing to the root-preferential expression of RCg2 and the high frequency of silencing observed in transgenic (YXB) lines, several RCg2 promoter deletion constructs were designed. These include 5' deletions MC1, MC2, MC4, MC7 and MC8 and internal deletions MC5, MC11, MC12 and MC13. The frequency with which silencing was encountered in populations of the deletion mutants was used to characterize the effects of various promoter elements. Deletion of the region from -406 to -208 (compared MC11 to YXB, and MC13 to MC1) revealed that region contains a negative element. Among 36 independent transformants, 33% with MC11 expressed GUS and 85% with MC13 showed GUS expression. Comparing MC7 transgenic plants to MC1 revealed that the region ?888 to ?729 is another negative regulatory element, and comparing MC11 to MC12, the proportion of expression of transgenic plants indicated the region ?729 to ?406 is a positive regulatory element.

DNA methylation serves as a major epigenetic modification crucial to the normal organismal development and the onset and progression of complex diseases such as cancer. Computational predictions for DNA methylation profiling serve multiple purposes. First, accurate predictions can contribute valuable information for speeding up genome-wide DNA methylation profiling so that experimental resources can be focused on a few selected while computational procedures are applied to the bulk of the genome. Second, computational predictions can extract functional features and construct useful models of DNA methylation based on existing data, and can therefore be used as an initial step toward quantitative identification of critical factors or pathways controlling DNA methylation patterns. Third, computational prediction of DNA methylation can provide benchmark data to calibrate DNA methylation profiling equipment and to consolidate profiling results from different equipments or techniques. This thesis is written based on our study on the computational analysis of the DNA methylation patterns of the human genome. Particularly, we have established computational models (1) to predict the methylation patterns of the CpG islands in normal conditions, and (2) to detect the CpG islands that are unmethylated in normal conditions but aberrantly methylated in cancer conditions. When evaluated using the CD4 lymphocyte data of Human Epigenome Project (HEP) data set based on bisulfite sequencing, our computational models for predicting the methylation status of CpG islands in the normal conditions can achieve a high accuracy of 93-94%, specificity of 94%, and sensitivity of 92-93%. And, when evaluated using the aberrant methylation data from the MethCancerDB database for aberrantly methylated genes in cancer, our models for detecting the CpG islands that are unmethylated in normal conditions but aberrantly methylated in colon or prostate cancer can achieve an accuracy of 92-93%, specificity of 98-99%, and sensitivity of 92-93%.

Multiple myeloma (MM) is an incurable haematological malignancy. It is characterized clinically by an asymptomatic precursor stage, known as monoclonal gammopathy of undetermined significance (MGUS), which will transform into symptomatic MM at a rate of 1% per year. Gene promoter hypermethylation by catalytic conversion of cytosine into 5?methylcytosine at promoter?associated CpG island is an alternative mechanism of gene inactivation. MicroRNA (miRNA) is a class of short, single?stranded, non?coding RNA molecules, which will repress the expression of target protein by sequence?specific binding to the three prime untranslated region of the corresponding messenger RNA. In carcinogenesis, miRNA can be either oncogenic when tumour suppressor genes are targeted, or tumour suppressive when oncogenes are targeted. Despite reports of hypermethylation of multiple protein?coding tumour suppressor genes, little is known about DNA methylation of non?coding tumour suppressor miRNA genes in MM. This thesis aimed to investigate the role of promoter hypermethylation of tumour suppressor miRNA genes in MM using a candidate miRNA approach. Moreover, the prognostic significance of tumour suppressor miRNA hypermethylation was studied in a uniformly?treated cohort of MM patients. The role of DNA methylation at the promoter of miR?203, miR?34a, miR?34b/c, miR?124?1, miR?129?2 and miR?224 were studied in MM. The tumour suppressor role of miR?34b/c, miR?124?1, miR?203 and miR?224 were demonstrated in human myeloma cell lines (HMCLs). In particular, restoration of miR?203 in MM cells was shown to inhibit cellular proliferation via targeting and hence direct downregulation of a proto?oncogene, cyclic AMP responsive element binding protein. There are several observations in primary MM samples. First, there was frequent methylation of miR?129?2, miR?203 and miR?224 but infrequent methylation of miR?34a, miR?34b/c and miR?124?1 in MM at diagnosis. Second, tumour?specific hypermethylation of each of the miR?203 and miR?224 promoters was detected at comparable frequencies in MGUS, diagnostic and relapsed/progressed MM, and hence implicated as an early event in myelomagenesis. Thirdly, miR?129?2 methylation was more frequent in diagnostic MM than MGUS, and hence implicated in MGUS progression to MM. On the other hand, despite rare miR?34b/c methylation at diagnosis, miR?34b/c methylation was frequent at relapse/progression, thereby implicating miR?34b/c methylation in MM relapse/progression. Fourthly, despite frequent miR?124?1 methylation in HMCLs, miR?124?1 methylation was rare in both diagnostic and relapsed MM marrow samples, suggesting that miR?124?1 methylation was acquired during in vitro cell culture. Finally, the prognostic significance of methylation of a panel of tumour suppressor miRNAs was studied in a uniformly?treated cohort of MM patients, which revealed that miR?224 hypermethylation as an independent favourable prognostic factor for survival. In conclusion, hypermethylation of tumour suppressor miRNAs is implicated in the pathogenesis (miR?203, miR?129?2, miR?224), progression (miR?34b/c), and prognostification (miR?224) of MM. / published_or_final_version / Medicine / Doctoral / Doctor of Philosophy

The Wilms’ tumor gene 1 (WT1) was first reported as a tumor suppressor gene in Wilms’ tumor. However, later studies have shown the oncogenic properties of WT1 in a variety of tumors. It was recently proposed that WT1 was a chameleon gene, due to its dual functions in tumorigenesis. We aimed to investigate the clinical significance of WT1 as biomarker in acute myeloid leukemia (AML) and clear cell renal cell carcinoma (ccRCC) and to elucidate the function of WT1 as an oncogene in squamous cell carcinoma of head and neck (SCCHN). In AML, it was suggested that WT1 expression was an applicable marker of minimal residual disease (MRD). In adult patients with AML, we found a good correlation between WT1 expression levels normalized to two control genes, β-actin and ABL. Outcome could be predicted by a reduction in WT1 expression in bone marrow (≥ 1-log) detected less than 1 month after diagnosis, when β-actin was used as control. Also, irrespective of the control gene used, outcome could be predicted by a reduction in WT1 expression in peripheral blood (≥ 2-log) detected between 1 and 6 months after treatment initiation. Previous studies in RCC demonstrated that WT1 acted as a tumor suppressor. Thus, we tested whether single nucleotide polymorphisms (SNPs) or mutations in WT1 might be associated with WT1 expression and clinical outcome in patients with ccRCC. We performed sequencing analysis on 10 exons of the WT1 gene in a total of 182 patient samples, and we identified six different SNPs in the WT1 gene. We found that at least one or two copies of the minor allele were present in 61% of ccRCC tumor samples. However, no correlation was observed between WT1 SNP genotypes and RNA expression levels. Moreover, none of the previously reported WT1 mutations were found in ccRCC. Nevertheless, we found that a favorable outcome was associated the homozygous minor allele for WT1 SNP. We then further investigated whether WT1 methylation was related to WT1 expression and its clinical significance. Methylation array and pyrosequencing analyses showed that the WT1 promoter region CpG site, cg22975913, was the most frequently hypermethylated CpG site. We found a trend that showed nearly significant correlation between WT1 mRNA levels and hypermethylation in the 5’-untranslated region. Hypermethylation in the WT1 CpG site, cg22975913, was found to be associated with patient age and a worse prognosis. One previous study reported that WT1 was overexpressed in SCCHN. That finding suggested that WT1 might play a role in oncogenesis. We found that both WT1 and p63 could promote cell proliferation. A positive correlation between WT1 and p63 expression was observed, and we identified p63 as a WT1 target gene. Furthermore, several known WT1 and p63 target genes were affected by knocking down WT1. Also, co-immunoprecipitation analyses demonstrated a protein interaction between WT1 and p53. In summary, WT1 gene expression can provide useful information for MRD detection during treatment of patients with AML. In RCC, our results suggested that the prognostic impact of WT1 SNPs was limited to the subgroup of patients that were homozygous for the minor allele, and that WT1 promoter hypermethylation could be used as a prognostic biomarker. In SCCHN, WT1 and p63 acted as oncogenes by affecting multiple genes involved in cancer cell growth.

No description available.

No description available.

Humans are exposed to arsenicals through many routes with the most common being drinking water. Exposure to arsenic has been associated with an increased incidence of skin, lung, liver, prostate, and bladder cancer. Although the relationship between arsenic exposure and carcinogenesis is well documented, the mechanisms by which arsenic participates in tumorigenesis are not fully elucidated. We evaluated the potential epigenetic component of arsenical action by assessing the histone acetylation and DNA methylation state of 13,000 human gene promoters in a cell line model of arsenical-mediated malignant transformation. We show changes in histone H3 acetylation and DNA methylation occur during arsenical-induced malignant transformation, each of which is linked to the expression state of the associated gene. These epigenetic changes occurred non-randomly and targeted common promoters whether the selection was performed with arsenite [As(III)] or with the As(III) metabolite monomethylarsonous acid [MMA(III)]. The epigenetic alterations of these promoters and associated malignant phenotypes were stable after the removal of the transforming arsenical. One of the affected regions was the promoter of WNT5A. This gene is transcriptionally activated during arsenical induced malignant transformation and its promoter region exhibited alterations in each of the four histone modifications examined which were linked to its transcriptional activation. Experimental reduction of WNT5A transcript levels resulted in abrogated anchorage independent growth, suggesting a participative role for the epigenetic remodeling of this promoter region in arsenical-induced malignant transformation. Taken together, these data suggest that arsenicals may participate in tumorigenesis by stably altering the DNA methylation and histone modifications associated with targeted genes, uncovering a likely set of participative genes and representing a mechanism to potentially explain the latency associated with arsenic-induced malignancy.

It is well known that DNA methylation in gene promoter regions inhibits gene transcription and that tissue-specific gene expression is partially under the control of this transcription regulatory mechanism. In this study, bovine mammary gland tissues were collected from individual animals in lactating and non-lactating stages to investigate the DNA methylation patterns in the kappa-casein gene and alpha-lactalbumin gene core promoter regions using the bisulphite treatment in combination with polymerase chain reaction (PCR) sequencing. Different methylation status of each sample was classified into three categories, namely methylation at known transcription factor binding domains, methylation at core promoter non-binding domains and the absence of cytosine methylation. Real-time quantitative PCR was used to quantify the transcription levels of the kappa-casein and alpha-lactalbumin genes from the collected samples. A comparative method was used and fold-change values were calculated based on the comparison of the normalized threshold values of samples from different physiological stages as well as on various methylation patterns observed in their core promoter regions. Statistical analyses showed that the expressions of the kappa-casein and alpha-lactalbumin genes were significantly different in lactating and non-lactating mammary gland tissues. The methylation observed in the core promoter region of bovine alpha-lactalbumin gene was found to be associated with its gene expression. On the other hand, the methylation found in the core promoter region of bovine kappa-casein gene did not have any effect on its gene transcript levels.