Advances in Genomic DNA Methylation Analysis
نویسندگان
چکیده
منابع مشابه
Technical advances in global DNA methylation analysis in human cancers
Prototypical abnormalities of genome-wide DNA methylation constitute the most widely investigated epigenetic mechanism in human cancers. Errors in the cellular machinery to faithfully replicate the global 5-methylcytosine (5mC) patterns, commonly observed during tumorigenesis, give rise to misregulated biological pathways beneficial to the rapidly propagating tumor mass but deleterious to the h...
متن کاملDirect detection of methylation in genomic DNA
The identification of methylated sites on bacterial genomic DNA would be a useful tool to study the major roles of DNA methylation in prokaryotes: distinction of self and nonself DNA, direction of post-replicative mismatch repair, control of DNA replication and cell cycle, and regulation of gene expression. Three types of methylated nucleobases are known: N6-methyladenine, 5-methylcytosine and ...
متن کاملCapillary electrophoretic analysis of genomic DNA methylation levels.
Changes in DNA methylation have been found in the large majority of tumors. This phenomenon includes both genome-wide hypomethylation and gene- specific hypermethylation. However, the clinical relevance of either mechanism has remained contentious. In order to determine DNA methylation levels from a large number of clinical samples, we have established a method for accurate high-throughput quan...
متن کاملdna-directed methylation analysis methodology
epigenetics alterations, especially dna methylation, play a critical role in control of gene expressions. abnormal patterns of methylation are observed in early-stages of many cancers. therefore, methylation analysis is useful in primary detection of tumors. advances knowledge about the functional role of aberrant epigenetic modifications as potential biomarkers for cancer, have attracted consi...
متن کاملDiscovering DNA motifs and genomic variants associated with DNA methylation
DNA methylation plays a crucial role in establishing tissue-specific gene expression. However, our incomplete understanding of the cis elements that regulate DNA methylation prevents us from interpreting the functional effects of non-coding variants. We present CpGenie (http://cpgenie.csail.mit.edu), a deep convolutional neural network that learns a regulatory sequence code of DNA methylation a...
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ژورنال
عنوان ژورنال: Biotechnology(Faisalabad)
سال: 2010
ISSN: 1682-296X
DOI: 10.3923/biotech.2010.459.468