Prediction model construction of mouse stem cell pluripotency using CpG and non-CpG DNA methylation markers.

ABSTRACT:

Background

Genome-wide studies of DNA methylation across the epigenetic landscape provide insights into the heterogeneity of pluripotent embryonic stem cells (ESCs). Differentiating into embryonic somatic and germ cells, ESCs exhibit varying degrees of pluripotency, and epigenetic changes occurring in this process have emerged as important factors explaining stem cell pluripotency.

Results

Here, using paired scBS-seq and scRNA-seq data of mice, we constructed a machine learning model that predicts degrees of pluripotency for mouse ESCs. Since the biological activities of non-CpG markers have yet to be clarified, we tested the predictive power of CpG and non-CpG markers, as well as a combination thereof, in the model. Through rigorous performance evaluation with both internal

SUBMITTER: Joe S 

PROVIDER: S-EPMC7199378 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature