A theoretical and experimental framework enables low-coverage sequencing for accurate quantification of genome-wide cytosine modification levels

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Authors: Christian E. Loo, Johanna M. Fowler, Heqiao Zhu, Christopher Krapp, Ruiyao Zhu, Marisa S. Bartolomei, Wanding Zhou, Rahul M. Kohli
Cited by: 2
References: 46

Abstract

5-methylcytosine (5mC) and 5-hydroxymethylcytosine (5hmC) regulate gene expression and exhibit dynamic levels during development and disease. While high-depth, base-resolution studies offer the most detailed view of epigenetic landscapes, many open questions are answered by surveying changes in 5mC/5hmC levels across larger cohorts. Nonetheless, current global quantification methods, including mass spectrometry, are typically limited in accessibility, accuracy, or throughput. Here, to evaluate the viability of low-coverage sequencing as an alternative, we first computationally downsampled deeply sequenced data to resolve the three-way relationship between sequencing coverage, modification levels, and measurement error. This relationship allowed us to develop a facile online tool for error calculation and to define experimental targets:

Fields of Study & Subjects

Bacteriophages and microbial interactions RNA modifications and cancer CRISPR and Genetic Engineering

Publication details

Journal / source
NAR Genomics and Bioinformatics
Publisher
Oxford University Press (OUP)
Volume
8
Issue
3
Pages
lqag082–lqag082
Publication date
27 June 2026
Language
EN