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Nat Commun. 2018 Sep 20;9(1):3824. doi: 10.1038/s41467-018-06355-2.

Robust single-cell DNA methylome profiling with snmC-seq2.

Author information

1
Genomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, 92037, USA.
2
Howard Hughes Medical Institute, The Salk Institute for Biological Studies, La Jolla, CA, 92037, USA.
3
Swift Biosciences Inc., 58 Parkland Plaza, Suite 100, Ann Arbor, MI, 48103, USA.
4
Computational Neurobiology Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, 92037, USA.
5
Flow Cytometry Core Facility, The Salk Institute for Biological Studies, La Jolla, CA, 92037, USA.
6
Zymo Research Corporation, Irvine, CA, 92614, USA.
7
Department of Neurology, Miller School of Medicine, University of Miami, Miami, FL, 33136, USA.
8
Genomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, 92037, USA. ecker@salk.edu.
9
Howard Hughes Medical Institute, The Salk Institute for Biological Studies, La Jolla, CA, 92037, USA. ecker@salk.edu.

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.

PMID:
30237449
PMCID:
PMC6147798
DOI:
10.1038/s41467-018-06355-2
[Indexed for MEDLINE]
Free PMC Article

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