Recent advances in single-cell technologies have enabled high-throughput molecular
profiling of cells across modalities and locations. Single-cell transcriptomics data can now …

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 …

The interplay between chromatin, transcription factors and genes generates complex
regulatory circuits that can be represented as gene regulatory networks (GRNs). The study …

Despite the emergence of experimental methods for simultaneous measurement of multiple
omics modalities in single cells, most single-cell datasets include only one modality. A major …

In the last decade, single-cell RNA sequencing routinely performed on large numbers of
single cells has greatly advanced our understanding of the underlying heterogeneity of …

Methods for profiling RNA and protein expression in a spatially resolved manner are rapidly
evolving, making it possible to comprehensively characterize cells and tissues in health and …

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 …

The development of single-cell and spatial transcriptomics methods was instrumental in the
conception of the Human Cell Atlas initiative, which aims to generate an integrated map of …

Single-cell multi-omics (scMulti-omics) allows the quantification of multiple modalities
simultaneously to capture the intricacy of complex molecular mechanisms and cellular …

Single-cell RNA sequencing data can unveil the molecular diversity of cell types. Cell type
atlases of the mouse spinal cord have been published in recent years but have not been …