DNA Methylation and Human Aging - Assignment Example

DNA of the old age has the least methylated material.2. The CpG regions acted as target points in the experiment not only because they contain methyl groups but also the researchers wanted to strengthen the study through CpG results because they make the DNA strands that happen to play a crucial role in human aging. In relation to methylation, CpG regions tend to have a high content of methylomes hence were the most suitable for the study.3. 12- 16 Whole Genome bisulfite sequencing of all the samples: newborn, centenarian, and intermediate, was done to identify the methylation status.

Also, a microarray of 450000 CpG methylation samples was included in the experiment. WGBS was hence performed for all the samples. For the newborn, fresh cord blood with a permit from the parents was acquired for the experiment while for the old age his CD4 positive T cells were used. The intermediate sample was from a twenty-six-year-old. All three samples were from Caucasian males.4. The methylation status in the three samples was different but formed a final curve in the results. The centenarian DNA had low methylomes compared to those in a newborn's DNA.

Moreover, there is a very low correlation in methylation of the CpG positions that are near the DNA. The intermediate sample was between the two, meaning it was second in the level of methylation. The CpG that were densely methylated in the centenarian sample were located in specific genomic regions such as the promoters and more were on Island promoters than the poor promoters. 5. Alternative methods used apart from WGBS included the determination of the DMRS which are the differentiated methylated regions in the DNA of the two main samples.

This method involved checking the total length of identical CpGs in the two samples by counting those that have a continuous consistent flow of methylation status. Moreover, an identified map of CpG showcases a microarray of the 450000 samples used. The results from the map were then compared to those from WGBS.6. The six genes from WGBS that were identified as differentiated were suspected earlier on following the use of the Epigraph software that helps in detecting and calculating the number of methylated and unmethylated CpGs in their most popular regions such as island promoters in the centenarian sample.