转录组
DNA甲基化
生物
计算生物学
表观遗传学
基因
DNA
遗传学
表观遗传学
基因表达
作者
Youjin Hu,Qin An,Ying Guo,Jiawei Zhong,Shuxin Fan,Pinhong Rao,Xialin Liu,Yizhi Liu,Guoping Fan
出处
期刊:Methods in molecular biology
日期:2019-01-01
卷期号:: 363-377
被引量:22
标识
DOI:10.1007/978-1-4939-9240-9_21
摘要
Single-cell transcriptome and single-cell methylome analysis have successfully revealed the heterogeneity in transcriptome and DNA methylome between single cells, and have become powerful tools to understand the dynamics of transcriptome and DNA methylome during the complicated biological processes, such as differentiation and carcinogenesis. Inspired by the success of using these single-cell -omics methods to understand the regulation of a particular “-ome,” more interests have been put on elucidating the regulatory relationship among multiple-omics at single-cell resolution. The simultaneous profiling of multiple-omics from the same single cell would provide us the ultimate power to understand the relationship among different “-omes,” but this idea is not materialized for decades due to difficulties to assay extremely tiny amount of DNA or RNA in a single cell. To address this technical challenge, we have recently developed a novel method named scMT-seq that can simultaneously profile both DNA methylome and RNA transcriptome from the same cell. This method enabled us to measure, from a single cell, the DNA methylation status of the most informative 0.5–1 million CpG sites and mRNA level of 10,000 genes, of which 3200 genes can be further analyzed with both promoter DNA methylation and RNA transcription. Using the scMT-seq data, we have successfully shown the regulatory relationship between DNA methylation and transcriptional level in a single dorsal root ganglion neuron (Hu et al., Genome Biol 17:88, 2016). We believe the scMT-seq would be a powerful technique to uncover the regulatory mechanism between transcription and DNA methylation, and would be of wide interest beyond the epigenetics community.
科研通智能强力驱动
Strongly Powered by AbleSci AI