ArticleBio-protocol2025
Library Preparation for Genome-Wide DNA Methylation Profiling.
Article in Bio-protocol, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
0 citing papers in PubMed.
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
DNA methylation is a fundamental epigenetic mark with critical roles in epigenetic regulation, development, and genome stability across diverse organisms. Whole genome bisulfite sequencing (WGBS) enables single-base resolution mapping of cytosine methylation patterns and has become a standard method in epigenomics. This protocol provides a detailed, step-by-step workflow for WGBS library construction starting from genomic DNA. It includes steps of RNaseA treatment, DNA shearing, end-repair and A-tailing, adapter ligation, bisulfite conversion, library amplification, and quantification. Notably, the method uses self-prepared reagents and customizable index systems, avoiding the constraints of commercial library preparation kits. This flexibility supports cost-effective, scalable methylome profiling, suitable for diverse experimental designs, including high-throughput multiplexed sequencing. Key features • Provides a comprehensive workflow for whole-genome bisulfite sequencing (WGBS) library preparation without relying on commercial kits. • Enables flexible multiplexing by allowing users to customize index systems during oligonucleotide synthesis. • Offers high-resolution, unbiased DNA methylation profiling at single-base resolution. • Optimized for cost-effective and scalable applications, including high-throughput sample processing. • Compatible with a wide range of DNA inputs and adaptable to different species and experimental designs.
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Registered trials
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