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Updated: Mar 3, 2026

High Sensitivity 5-hydroxymethylcytosine Detection in Balb/C Brain Tissue
Published on: February 1, 2011
Deaminase-Assisted Sequencing for the Identification of 5-glyceryl-methylcytosine
Bao-Dan He1, Fan-Chen Wang1, Jian-Huang Xue1
1Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Tongji Hospital affiliated to Tongji University, Frontier Science Center for Stem Cell Research, School of Life Sciences and Technology, Tongji University, Shanghai, China.
Abstract:
DNA epigenetic modifications play crucial roles in regulating gene expression and cellular function across diverse organisms. Among them, 5-glyceryl-methylcytosine (5gmC), a unique DNA modification first discovered in Chlamydomonas reinhardtii, represents a novel link between redox metabolism and epigenetic regulation. Accurate genome-wide detection of 5gmC is essential for investigating its biological functions, yet no streamlined method has been available. Here, we present deaminase-assisted sequencing (DEA-seq), a simple and robust approach for base-resolution mapping of 5gmC. DEA-seq employs a single DNA deaminase that efficiently converts unmodified cytosines (C) and 5-methylcytosine (5mC) into uracils or thymines, while leaving 5gmC intact. This selective resistance generates a clear sequence signature that enables precise identification of 5gmC sites across the genome. The method operates under mild reaction conditions and is compatible with low-input DNA, minimizing sample loss and improving detection sensitivity. Overall, DEA-seq provides an accessible, efficient, and highly accurate protocol for profiling 5gmC, offering clear advantages in workflow simplicity, DNA integrity, and analytical performance. Key features • A commercial deaminase mix (DEA) efficiently converts unmodified cytosines and 5-methylcytosines into uracils or thymines. • 5gmC specifically resists DEA-mediated deamination, enabling its identification at single-base resolution. • DEA-seq requires only minimal DNA input and supports high-sensitivity detection from nanogram-level samples.
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