bioRxivGenomicsPreprint
eRREMS expands regulatory CpG coverage in reduced representation methylome sequencing
Uxue LazcanoiD, Monika González-LopeziD, Nuria Macías CámaraiD, Laura BárcenaiD, Ianire AstobizaiD, Antonio RosinoiD, Julián Tudela, Enrique González‐BillalabeitiaiD, Arkaitz CarracedoiD, Ana María AransayiD, Isabel MendizabaliD
Abstract
Profiling the regulatory DNA methylation landscape remains technically challenging. Reduced-representation bisulfite sequencing (RRBS) misses distal enhancers and non-canonical regulatory elements, while whole-genome bisulfite sequencing (WGBS) distributes reads genome-wide, limiting consistent recovery of informative CpGs across sample collections. Here we present eRREMS (enhanced Reduced Representation Enzymatic Methylation Sequencing), addressing both limitations by combining MspI and HaeIII digestion with enzymatic cytosine conversion. eRREMS approximately doubles regulatory CpG recovery relative to standard RRBS, outperforming TaqI-based extended protocols, with gains concentrated in dynamically regulated enhancers, alternative promoters, and splicing-associated regions. HaeIII-specific CpGs capture additional complex trait heritability beyond standard RRBS. At modest, comparable sequencing depths, eRREMS achieves greater cohort-level completeness for regulatory and dynamically variable CpGs than WGBS and requires substantially fewer reads. CpG capture is stable across enzymatic conversion kits and library preparation conditions, supporting broad adoption. eRREMS provides a cost-efficient and reproducible strategy for scalable methylome profiling of regulatory CpGs across cohorts.
- Citations
- 0
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- DNA methylation estimation using methylation-sensitive restriction enzyme bisulfite sequencing (MREBS)
Giancarlo Bonora, Liudmilla Rubbi, … Matteo A. Pellegrini·PLoS ONEPeer-reviewed·Apr 4, 2019
- Novel enzyme-based reduced representation method for DNA methylation profiling with low inputs
Qianli Liu, Kathryn A. Helmin, … Benjamin David Singer·Nucleic Acids ResearchPeer-reviewed·Jun 4, 2025
- Deconstructing the Cancer Epigenome using Reduced Representation Bisulfite Sequencing (RRBS)
Nicole Glendinning, Dongjun Chung, Gary Hardiman·bioRxiv·May 12, 2025
- Comparative analysis of the Illumina Mouse Methylation BeadChip and Reduced Representation Bisulphite Sequencing for routine DNA methylation analysis of murine samples
Lochlan Fennell, Günter Härtel, … Vicki Whitehall·bioRxiv·Mar 7, 2022
- epiGBS2: an improved protocol and automated snakemake workflow for highly multiplexed reduced representation bisulfite sequencing
Fleur Gawehns, Maarten Postuma, … Koen J. F. Verhoeven·bioRxiv·Jun 23, 2020
- ARUNA: Slice-based self-supervised imputation for upscaling DNA methylation sequencing assays
Janmajay Singh, Wei-Hao Lee, … Vicky Yao·bioRxiv·Jan 30, 2026