Epigenetic profiling of aging mouse brain at base resolution
Recent studies have proven that epigenetics, especially 5-methylcytosine (5mC), plays a pivotal role in aging. Different tissues within an individual can have different biological age owing to aging-associated epigenetic dysregulation. Along these lines, previous studies have reported diverse epigenetic profiles among different cell-types like neurons and oligodendrocytes of a same individual. However, beside methylation, DNA undergoes various other types of epigenetic modification which remains to be investigated. Nanopore sequencing records the characteristic electric current change when a single DNA strand passes through the nanopore. This electric current can be translated into genetic code. We plan to sort four major cell-types of brain namely neurons, oligodendrocytes, astrocytes, and microglia using BD-FACS-Aria, which will be followed by nanopore sequencing. We will use three age-points to detect the effect of aging on epigenome, namely newborn (P1), mature adult (6 months) and aged mice (24 months). It will help us sequence epigenome of mice brain at single-base resolution and create a map to identify the epigenetic determinants of an aging brain.