C57BL/6J (B6) mice are susceptible to in utero growth retardation and a number of morphological malformations following prenatal alcohol exposure, while DBA/2J (D2) mice are relatively resistant. We have previously shown that genomic imprinting may play a role in differential sensitivity between B6 and D2 (Downing and Gilliam 1999). The best characterized mechanism mediating genomic imprinting is differential DNA methylation. In the present study we examined DNA methylation and gene expression, in both embryonic and placental tissue, at the mouse Igf2 locus following in utero ethanol exposure. We also examined the effects of a methyl-supplemented diet on methylation and ethanol teratogenesis. In embryos from susceptible B6 mice, we found small decreases in DNA methylation at four CpG sites in one of the differentially methylated regions of the Igf2 locus; only one of the four sites showed a statistically significant decrease. We observed no significant decreases in methylation in placentae. All Igf2 transcripts showed approximately 1.5 fold decreases following intrauterine alcohol exposure. Placing dams on a methyl-supplemented diet before pregnancy and throughout gestation brought methylation back up to control levels. Methyl-supplementation also resulted in lower prenatal mortality, greater prenatal growth, and decreased digit malformations; it dramatically reduced vertebral malformations. Thus, while prenatal alcohol had only small effects on DNA methylation at the Igf2 locus, placing dams on a methyl-supplemented diet partially ameliorated ethanol teratogenesis.
DNA methylation at cytosines is a widely studied epigenetic modification. Methylation is commonly detected using bisulfite modification of DNA followed by PCR and additional techniques such as restriction digestion or sequencing. These additional techniques are either laborious, require specialized equipment, or are not quantitative. Here we describe a simple algorithm that yields quantitative results from analysis of conventional four-dye-trace sequencing. We call this method Mquant and we compare it with the established laboratory method of combined bisulfite restriction assay (COBRA). This analysis of sequencing electropherograms provides a simple, easily applied method to quantify DNA methylation at specific CpG sites.
Our previously published data link P-selectin-reactive chondroitin sulfate structures on the surface of breast cancer cells to metastatic behavior of cells. We have shown that a particular sulfation pattern mediated by the expression of carbohydrate (chondroitin 4) sulfotransferase-11 (CHST11) correlates with P-selectin binding and aggressiveness of human breast cancer cell lines. The present study was performed to evaluate the prognostic value of CHST11 expression and determine whether aberrant DNA methylation controls CHST11 expression in breast cancer. Publicly available datasets were used to examine the association of CHST11 expression to aggressiveness and progression of breast cancer. Methylation status was analyzed using bisulfite genomic sequencing. 5-aza-2′-deoxycytidine (5AzadC) was used for DNA demethylation. Reduced representation bisulfite sequencing was performed in the CpG island of CHST11 with a minimum coverage of 10. Quantitative real-time RT-PCR was employed to confirm the expression profile of CHST11 in breast cancer cell lines. Flow cytometry was also used to confirm the expression of the CHST11 product, chondroitin sulfate A (CS-A). The expression of CHST11 was significantly higher in basal-like and Her2-amplified cell lines compared to luminal cell lines. CHST11 was also highly expressed in cancer tissues compared to normal tissues and the expression levels were significantly associated with tumor progression. We observed very low levels of DNA methylation in a CpG island of CHST11 in basal-like cells but very high levels in the same region in luminal cells. Treatment of MCF7 cells, a luminal cell line with very low expression of CHST11, with 5AzadC increased the expression of CHST11 and its immediate product, CS-A, in a dose-dependent manner. These results suggest that CHST11 may play a direct role in progression of breast cancer and that its expression is controlled by DNA methylation. Therefore, in addition to CHST11 mRNA levels, the methylation status of this gene also has potential as a prognostic biomarker.
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