ABSTRACT: This set of data is for assessing and validation of a novel method, CGI-seq, as described in the corresponding paper, for profiling of single cell CpG methylome. We tested 4 different cell lines (K562, GM12878, 551 K1-iPSC, and Fibroblast ATCC-CCL-110) with a low quantity of cells (LQC, here including 100-cell or 10-cell) and with single cells (SC) separately. Briefly, the protocol include these steps. The intact gDNA of the cell(s) was released. This gDNA (i.e. the TEST sample, but this step was omitted for the Methylation Control or MC sample) was cut with the 1st set of restriction endonucleases, called RE1, which were sensitive to CpG methylation, and distinguished methylated from unmethylated DNA sequences. Then, each sample, including digested TEST DNAs and intact MC DNA, was immediately amplified by MDA method (or REPLIg kit), in which the methylated DNA sequences were highly efficiently amplified, while unmethylated DNA sequences were depleted. The amplicon was then cut with the 2nd set of restriction endonucleases, called RE2, and the appropriate size (between 50-500bp) of fragments were recovered to generate sequencing library, which was to enrich CpG-rich sequences (especially CpG islands) and improve the sequencing efficiency (reduced representation sequencing). Finally, Next Generation Sequencing (NGS) was performed. The outcome sequencing reads were analyzed with a specially designed algorithms. The result shows the high sensitivity, high reliability, high reproduciblity, and high coverage of the method on profiling the genome-wide CpG methylation pattern for single cells. It is a simple, robust and faithful technology for single cell CpG methylation pattern analysis, enabling unsupervised clustering of single cells basing on genome-wide CpG methylation pattern. This method will be valuable to dissect the subpopulation structure for a cellular population heterogeneous in CpG-methylation pattern.
