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Single Cell Methylome Signatures Reveal Distinct Neuronal Populations and Regulatory Elements in the Mammalian Cortex

GSE97179 Homo sapiens; Mus musculus Methylation profiling by high throughput sequencing; Other 6172 samples Submitted 2017/08/10 Platform GPL20301Platform GPL21103
Summary
The mammalian brain contains diverse neuron cell types with distinct physiological, morphological and molecular characteristics. However, a comprehensive assessment of the epigenetically distinct neuronal classes is currently missing. Cytosine DNA methylation is a stable epigenetic mark that distinguishes neuron types and marks gene regulatory elements. We developed an efficient single-nucleus methylome sequencing approach that allows robust high-throughput neuron-type classification. We generated >6,000 single-nucleus methylomes and identified 16 mouse and 21 human neuronal subpopulations in the frontal cortex. Both CG and non-CG methylation exhibited cell type-specific distributions that recapitulate and extend findings from single neuron transcriptome profiling. Moreover, we found approximately 500,000 neuron-type-specific regulatory elements showing strong differential methylation in mouse and human cortex. Distinct methylation signatures identified an unique human Parvalbumin-expressing inhibitory sub-type and a layer 6 specific excitatory sub-type in mouse. Comparative epigenomic analysis showed stronger conservation of gene regulatory elements in inhibitory compared with excitatory neurons. These findings demonstrate the utility of single nucleus methylome profiling for both expanding the atlas of brain cell types and identifying regulatory elements that potentially drive these differences.
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Direct links to NCBI, no account and no request form: the whole study as GSE97179_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 6172 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA380955 and SRA study SRP102717. Searching any of these in the dataset finder brings you back here.

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