Detailed characterization of the cell types in the human brain requires scalable experimental
approaches to examine multiple aspects of the molecular state of individual cells, as well as …

Single-cell sequencing technologies, including transcriptomic and epigenomic assays, are
transforming our understanding of the cellular building blocks of neural circuits. By directly …

Recent technical advancements have facilitated the mapping of epigenomes at single-cell
resolution; however, the throughput and quality of these methods have limited their …

Single-cell RNA sequencing can reveal the transcriptional state of cells, yet provides little
insight into the upstream regulatory landscape associated with open or accessible …

In contrast to single-cell approaches for measuring gene expression and DNA accessibility,
single-cell methods for analyzing histone modifications are limited by low sensitivity and …

Massively parallel single-cell RNA sequencing can precisely resolve cellular diversity in a
high-throughput manner at low cost, but unbiased isolation of intact single cells from …

Cells, the basic units of biological structure and function, vary broadly in type and state.
Single-cell genomics can characterize cell identity and function, but limitations of ease and …

To facilitate scalable profiling of single cells, we developed split-pool ligation-based
transcriptome sequencing (SPLiT-seq), a single-cell RNA-seq (scRNA-seq) method that …

Single-cell RNA-seq has become routine for discovering cell types and revealing cellular
diversity, but archived human brain samples still pose a challenge to current high …

Measurement of the location of molecules in tissues is essential for understanding tissue
formation and function. Previously, we developed Slide-seq, a technology that enables …