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; Joseph R. Ecker

doi:10.1038/s41467-018-06355-2

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
, Joseph R. Ecker

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Article number	3824
Journal	Nature Communications
Volume	9
Issue number	1
DOIs	https://doi.org/10.1038/s41467-018-06355-2
State	Published - Dec 1 2018
Externally published	Yes

Bibliographical note

Publisher Copyright:
© 2018, The Author(s).

ASJC Scopus Subject Areas

General Chemistry
General Biochemistry,Genetics and Molecular Biology
General Physics and Astronomy

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10.1038/s41467-018-06355-2

Cite this

Luo, C., Rivkin, A., Zhou, J., Sandoval, J. P., Kurihara, L., Lucero, J., Castanon, R., Nery, J. R., Pinto-Duarte, A., Bui, B., Fitzpatrick, C., O’Connor, C., Ruga, S., Van Eden, M. E., Davis, D. A., Mash, D. C., Behrens, M. M., & Ecker, J. R. (2018). Robust single-cell DNA methylome profiling with snmC-seq2. Nature Communications, 9(1), Article 3824. https://doi.org/10.1038/s41467-018-06355-2

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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.",

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AU - Luo, Chongyuan

AU - Rivkin, Angeline

AU - Zhou, Jingtian

AU - Sandoval, Justin P.

AU - Kurihara, Laurie

AU - Lucero, Jacinta

AU - Castanon, Rosa

AU - Nery, Joseph R.

AU - Pinto-Duarte, António

AU - Bui, Brian

AU - Fitzpatrick, Conor

AU - O’Connor, Carolyn

AU - Ruga, Seth

AU - Van Eden, Marc E.

AU - Davis, David A.

AU - Mash, Deborah C.

AU - Behrens, M. Margarita

AU - Ecker, Joseph R.

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AB - 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.

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Robust single-cell DNA methylome profiling with snmC-seq2

Abstract

Bibliographical note

ASJC Scopus Subject Areas

Access to Document

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