Highly scalable generation of DNA methylation profiles in single cells

We present a highly scalable assay for whole-genome methylation profiling of single cells. We use our approach, single-cell combinatorial indexing for methylation analysis (sci-MET), to produce 3,282 single-cell bisulfite sequencing libraries and achieve read alignment rates of 68 ± 8%. We apply sci...

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Bibliographic Details
Published in:Nature biotechnology 2018-06, Vol.36 (5), p.428-431
Main Authors: Mulqueen, Ryan M, Pokholok, Dmitry, Norberg, Steven J, Torkenczy, Kristof A, Fields, Andrew J, Sun, Duanchen, Sinnamon, John R, Shendure, Jay, Trapnell, Cole, O'Roak, Brian J, Xia, Zheng, Steemers, Frank J, Adey, Andrew C
Format: Article
Language:English
Subjects:
Animals
Bisulfite
Cell lines
Combinatorial analysis
Cortex
Deoxyribonucleic acid
DNA
DNA methylation
DNA Methylation - genetics
DNA sequencing
Genomes
Humans
Methods
Methylation
Mice
Observations
Sequence Alignment - methods
Sequence Analysis, DNA - methods
Single-Cell Analysis - methods
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Summary:We present a highly scalable assay for whole-genome methylation profiling of single cells. We use our approach, single-cell combinatorial indexing for methylation analysis (sci-MET), to produce 3,282 single-cell bisulfite sequencing libraries and achieve read alignment rates of 68 ± 8%. We apply sci-MET to discriminate the cellular identity of a mixture of three human cell lines and to identify excitatory and inhibitory neuronal populations from mouse cortical tissue.
ISSN:1087-0156
1546-1696
DOI:10.1038/nbt.4112