Project description:Using 1 melanocyte and 6 melanoma cell line (3 pair of primary and metastatic), we generated base-resolution DNA methylation maps to document DNA methylation drivers of melanoma metastasis.
Project description:DNA methylation is a critical epigenetic modification involved in various diseases, including cancer, and serves as a biomarker for early disease detection. Traditional detection methods, such as bisulfite sequencing, offer base-pair resolution but are costly and require high sequencing depths. We developed CmeCUT&Tag, a novel approach using methylation-binding domain fusion proteins coupled to hyperactive Tn5 transposase that selectively targets methylated DNA regions in both chromatinized and isolated DNA. These fusion proteins insert sequencing adapters into methylated regions, allowing low-depth sequencing for quantitative methylation assessment or bisulfite treatment for base pair resolution. Our approach enables comprehensive genome-wide DNA methylation profiling with minimal sequencing coverage. We demonstrated its efficacy in detecting DNA methylation in human stem cells and organoid systems. The system exhibits a high correlation with traditional bisulfite sequencing. It efficiently identifies CpG islands and DNA methylation dynamics during brain organoid development, highlighting its potential for biomedical applications in disease monitoring and aging research.
Project description:Epigenome analysis of skull base chordoams Genome wide DNA methylation profiling of 46 skull base chordomas. The Illumina Infinium 450k Human DNA methylation Beadchip was used to obtain DNA methylation profiles across approximately 450,000 CpGs in skull base chorodma samples. Samples included 46 skull base chorodmas
Project description:Our data provided a genome-wide DNA methylation landscape of human early development embryos, including human MII oocytes, sperm, zygotes, 2-cell to 8-cell embryos, morula, blastocyst and postimplantation embryos at single base resolution.
Project description:Using a pooled (n=10) zebrafish liver DNA, we generated base-resolution DNA methylation maps to document epigenetic landscape in zebrafish genome. Here we generated single-nucleotide resoultion DNA methylation map of zebrafish pooled liver sample using Reduced Representation Bisulfite Sequencing (RRBS)
