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), …

Genetic risk factors for autism spectrum disorder (ASD) have yet to be fully elucidated.
Postzygotic mosaic mutations (PMMs) have been implicated in several neurodevelopmental …

DNA methylation is a key epigenetic property that drives gene regulatory programs in
development and disease. Current single-cell methods that produce high quality methylomes are …

Single-cell combinatorial indexing (sci) with transposase-based library construction increases
the throughput of single-cell genomics assays but produces sparse coverage in terms of …

Here we present a comprehensive map of the accessible chromatin landscape of the
mouse hippocampus at single-cell resolution. Substantial advances of this work include the …

High-throughput single-cell epigenomic assays can resolve cell type heterogeneity in complex
tissues, however, spatial orientation is lost. Here, we present single-cell combinatorial …

Breast cancers are known to be driven by the transcription factor estrogen receptor and its
ligand estrogen. While the receptor's cis-binding elements are known to vary between tumors, …

We develop a large-scale single-cell ATAC-seq method by combining Tn5-based pre-indexing
with 10× Genomics barcoding, enabling the indexing of up to 200,000 nuclei across …

Abstract Development is a complex process that requires the precise modulation of
regulatory gene networks controlled through dynamic changes in the epigenome. Single-cell-omic …

Here we present a novel method: single-cell combinatorial indexing for methylation analysis
(sci-MET), which is the first highly scalable assay for whole genome methylation profiling of …