The joint analysis of the genome, epigenome, transcriptome, proteome and/or metabolome
from single cells is transforming our understanding of cell biology in health and disease. In …

Cell type-specific gene expression patterns and dynamics during development or in disease
are controlled by cis-regulatory elements (CREs), such as promoters and enhancers …

Mapping single-cell sequencing profiles to comprehensive reference datasets provides a
powerful alternative to unsupervised analysis. However, most reference datasets are …

In the past decade, single-cell technologies have proliferated and improved from their
technically challenging beginnings to become common laboratory methods capable of …

Delineating the gene-regulatory programs underlying complex cell types is fundamental for
understanding brain function in health and disease. Here, we comprehensively examined …

Abstract Oxidative modification of 5-methylcytosine (5mC) by ten-eleven translocation (TET)
DNA dioxygenases generates 5-hydroxymethylcytosine (5hmC), the most abundant form of …

Currently available single-cell omics technologies capture many unique features with
different biological information content. Data integration aims to place cells, captured with …

Human cortex transcriptomic studies have revealed a hierarchical organization of γ-
aminobutyric acid–producing (GABAergic) neurons from subclasses to a high diversity of …

Neuropsychiatric disorders classically lack defining brain pathologies, but recent work has
demonstrated dysregulation at the molecular level, characterized by transcriptomic and …

The maturation of high-throughput short-read sequencing technology over the past two
decades has shaped the way genomes are studied. Recently, single-molecule, long-read …