Digital-scRRBS: A Cost-Effective, Highly Sensitive, and Automated Single-Cell Methylome Analysis Platform via Digital Microfluidics.
Xi ZengXiaoxu GuoShaowei JiangXiaoping YangZhixing ZhongSiyu LiuZhi ZhuJia SongChaoyong James YangPublished in: Analytical chemistry (2023)
Single-cell DNA methylation sequencing is highly effective for identifying cell subpopulations and constructing epigenetic regulatory networks. Existing methylome analyses require extensive starting materials and are costly, complex, and susceptible to contamination, thereby impeding the development of single-cell methylome technology. In this work, we report digital microfluidics-based single-cell reduced representation bisulfite sequencing (digital-scRRBS), the first microfluidics-based single-cell methylome library construction platform, which is an automatic, effective, reproducible, and reagent-efficient technique to dissect the single-cell methylome. Using our digital microfluidic chip, we isolated single cells in 15 s and successfully constructed single-cell methylation sequencing libraries with a unique genome mapping rate of up to 53.6%, covering up to 2.26 million CpG sites. Digital-scRRBS demonstrates a high capacity for distinguishing cell identity and tracking DNA methylation during drug administration. Digital-scRRBS expands the applicability of single-cell methylation methods as a versatile tool for epigenetic analysis of rare cells and populations with high levels of heterogeneity.
Keyphrases
- single cell
- dna methylation
- high throughput
- rna seq
- genome wide
- gene expression
- induced apoptosis
- machine learning
- cell cycle arrest
- risk assessment
- deep learning
- transcription factor
- drug administration
- stem cells
- wastewater treatment
- bone marrow
- signaling pathway
- neural network
- oxidative stress
- molecularly imprinted
- solid phase extraction
- single molecule
- tandem mass spectrometry