Single-cell bisulfite-free 5mC and 5hmC sequencing with high sensitivity and scalability

Author:

Cao Yunlong12ORCID,Bai Yali23ORCID,Yuan Tianjiao1ORCID,Song Liyang2,Fan Yu2,Ren Liuhao1ORCID,Song Weiliang1,Peng Jiahui1,An Ran2,Gu Qingqing2,Zheng Yinghui1,Xie Xiaoliang Sunney124

Affiliation:

1. School of Life Sciences, Biomedical Pioneering Innovation Center, Peking University, Beijing 100871, People’s Republic of China

2. Changping Laboratory, Beijing 102206, People’s Republic of China

3. Joint Graduate Program of Peking-Tsinghua-National Institute of Biological Sciences, School of Life Sciences, Tsinghua University, Beijing 100084, People’s Republic of China

4. Beijing Advanced Innovation Center for Genomics, Peking University, Beijing 100871, People’s Republic of China

Abstract

Existing single-cell bisulfite-based DNA methylation analysis is limited by low DNA recovery, and the measurement of 5hmC at single-base resolution remains challenging. Here, we present a bisulfite-free single-cell whole-genome 5mC and 5hmC profiling technique, named Cabernet, which can characterize 5mC and 5hmC at single-base resolution with high genomic coverage. Cabernet utilizes Tn5 transposome for DNA fragmentation, which enables the discrimination between different alleles for measuring hemi-methylation status. Using Cabernet, we revealed the 5mC, hemi-5mC and 5hmC dynamics during early mouse embryo development, uncovering genomic regions exclusively governed by active or passive demethylation. We show that hemi-methylation status can be used to distinguish between pre- and post-replication cells, enabling more efficient cell grouping when integrated with 5mC profiles. The property of Tn5 naturally enables Cabernet to achieve high-throughput single-cell methylome profiling, where we probed mouse cortical neurons and embryonic day 7.5 (E7.5) embryos, and constructed the library for thousands of single cells at high efficiency, demonstrating its potential for analyzing complex tissues at substantially low cost. Together, we present a way of high-throughput methylome and hydroxymethylome detection at single-cell resolution, enabling efficient analysis of the epigenetic status of biological systems with complicated nature such as neurons and cancer cells.

Funder

Beijing Advanced Innovation Center for Genomics

Publisher

Proceedings of the National Academy of Sciences

Subject

Multidisciplinary

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