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 …

Single-cell transcriptomics (scRNA-seq) has become essential for biomedical research over
the past decade, particularly in developmental biology, cancer, immunology, and …

Cardiovascular disease is the leading cause of death worldwide. Advanced insights into
disease mechanisms and therapeutic strategies require a deeper understanding of the …

Single-cell transcriptomics has transformed our ability to characterize cell states, but deep
biological understanding requires more than a taxonomic listing of clusters. As new methods …

The emerging diversity of single-cell RNA-seq datasets allows for the full transcriptional
characterization of cell types across a wide variety of biological and clinical conditions …

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 …

Cell–cell communication mediated by ligand–receptor complexes is critical to coordinating
diverse biological processes, such as development, differentiation and inflammation. To …

Recent advances in cancer immunotherapy—ranging from immune-checkpoint blockade
therapy to adoptive cellular therapy and vaccines—have revolutionized cancer treatment …

Over the past decade, RNA sequencing (RNA-seq) has become an indispensable tool for
transcriptome-wide analysis of differential gene expression and differential splicing of …

Rapid progress in the development of next-generation sequencing (NGS) technologies in
recent years has provided many valuable insights into complex biological systems, ranging …