Estimating genome-wide DNA methylation heterogeneity with methylation patterns.

ABSTRACT:

Background

In a heterogeneous population of cells, individual cells can behave differently and respond variably to the environment. This cellular diversity can be assessed by measuring DNA methylation patterns. The loci with variable methylation patterns are informative of cellular heterogeneity and may serve as biomarkers of diseases and developmental progression. Cell-to-cell methylation heterogeneity can be evaluated through single-cell methylomes or computational techniques for pooled cells. However, the feasibility and performance of these approaches to precisely estimate methylation heterogeneity require further assessment.

Results

Here, we proposed model-based methods adopted from a mathematical framework originally from biodiversity, to estimate genome-wide DNA methy

SUBMITTER: Lin PY 

PROVIDER: S-EPMC10634068 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature