Robust single-cell DNA methylome profiling with snmC-seq2

Chongyuan Luo, Angeline Rivkin, Jingtian Zhou, Justin P. Sandoval, Laurie Kurihara, Jacinta Lucero, Rosa Castanon, Joseph R. Nery, António Pinto-Duarte, Brian Bui, Conor Fitzpatrick, Carolyn O’Connor, Seth Ruga, Marc E. Van Eden, David A. Davis, Deborah C. Mash, M. Margarita Behrens and Joseph R. Ecker ()
Additional contact information
Chongyuan Luo: The Salk Institute for Biological Studies
Angeline Rivkin: The Salk Institute for Biological Studies
Jingtian Zhou: The Salk Institute for Biological Studies
Justin P. Sandoval: The Salk Institute for Biological Studies
Laurie Kurihara: Swift Biosciences Inc.
Jacinta Lucero: The Salk Institute for Biological Studies
Rosa Castanon: The Salk Institute for Biological Studies
Joseph R. Nery: The Salk Institute for Biological Studies
António Pinto-Duarte: The Salk Institute for Biological Studies
Brian Bui: The Salk Institute for Biological Studies
Conor Fitzpatrick: The Salk Institute for Biological Studies
Carolyn O’Connor: The Salk Institute for Biological Studies
Seth Ruga: Zymo Research Corporation
Marc E. Van Eden: Zymo Research Corporation
David A. Davis: University of Miami
Deborah C. Mash: University of Miami
M. Margarita Behrens: The Salk Institute for Biological Studies
Joseph R. Ecker: The Salk Institute for Biological Studies

Nature Communications, 2018, vol. 9, issue 1, 1-6

Abstract: Abstract Single-cell DNA methylome profiling has enabled the study of epigenomic heterogeneity in complex tissues and during cellular reprogramming. However, broader applications of the method have been impeded by the modest quality of sequencing libraries. Here we report snmC-seq2, which provides improved read mapping, reduced artifactual reads, enhanced throughput, as well as increased library complexity and coverage uniformity compared to snmC-seq. snmC-seq2 is an efficient strategy suited for large-scale single-cell epigenomic studies.

Date: 2018
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DOI: 10.1038/s41467-018-06355-2

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