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Updated: Feb 12, 2026

Targeted DNA Methylation Analysis by Next-generation Sequencing
Published on: February 24, 2015
Highly scalable generation of DNA methylation profiles in single cells
Ryan M Mulqueen1, Dmitry Pokholok2, Steven J Norberg2
1Department of Molecular & Medical Genetics, Oregon Health & Science University, Portland, Oregon, USA.
Abstract:
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.
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