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 (US) |
|---|---|
| Article number | 3824 |
| Journal | Nature Communications |
| Volume | 9 |
| Issue number | 1 |
| DOIs | |
| State | Published - Dec 1 2018 |
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ASJC Scopus subject areas
- Chemistry(all)
- Biochemistry, Genetics and Molecular Biology(all)
- Physics and Astronomy(all)
Cite this
Robust single-cell DNA methylome profiling with snmC-seq2. / Luo, Chongyuan; Rivkin, Angeline; Zhou, Jingtian; Sandoval, Justin P.; Kurihara, Laurie; Lucero, Jacinta; Castanon, Rosa; Nery, Joseph R.; Pinto-Duarte, António; Bui, Brian; Fitzpatrick, Conor; O’Connor, Carolyn; Ruga, Seth; Van Eden, Marc E.; Davis, David A.; Mash, Deborah C; Behrens, M. Margarita; Ecker, Joseph R.
In: Nature Communications, Vol. 9, No. 1, 3824, 01.12.2018.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Robust single-cell DNA methylome profiling with snmC-seq2
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.
PY - 2018/12/1
Y1 - 2018/12/1
N2 - 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.
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.
UR - http://www.scopus.com/inward/record.url?scp=85053674992&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85053674992&partnerID=8YFLogxK
U2 - 10.1038/s41467-018-06355-2
DO - 10.1038/s41467-018-06355-2
M3 - Article
AN - SCOPUS:85053674992
VL - 9
JO - Nature Communications
JF - Nature Communications
SN - 2041-1723
IS - 1
M1 - 3824
ER -