ABSTRACT
Hannum and colleagues performed DNA methylation sequencing to examine the relationship between DNA methylome and aging rate. Notably, they succeeded in building a quantitative and reproducible model based on the epigenetic bio-markers to predict aging rate with high accuracy. This progress enlightens us in many aspects particularly in applying this novel set of bio-markers on studying the mechanism of aging rate using adult tissue-specific stem cells, building up a potential quantitative model to explore the mechanism for other epigenetic factors like non-coding RNA, and understanding the principle and mechanism of 3D chromatin structure in epigenetic modulation.
Subject(s)
Humans , Aging , Genetics , Pathology , Base Sequence , Chromatin , Genetics , DNA Methylation , Genetics , Epigenesis, Genetic , Genome, Human , RNA, Untranslated , Genetics , Sequence Analysis, DNAABSTRACT
Recent studies have been raising doubts on the safety of induced pluripotent stem cells (iPSCs) and proposing that the process of reprogramming brought about copy number variations (CNVs) in iPSCs. However, a recent paper published in Nature provided evidence showing that most CNVs were pre-existed as somatic mosaicism but not resulted from the reprogramming. This new finding would profoundly reshape some previous thoughts and endorse the confidence of iPSCs in both research and therapy.