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 …

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 …

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

A key aspect of nearly all single-cell sequencing experiments is dissociation of intact tissues
into single-cell suspensions. While many protocols have been optimized for optimal cell …

Single-cell technologies, particularly single-cell RNA sequencing (scRNA-seq) methods,
together with associated computational tools and the growing availability of public data …

Spatial transcriptomic technologies and spatially annotated single-cell RNA sequencing
datasets provide unprecedented opportunities to dissect cell–cell communication (CCC) …

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

The development of single-cell multimodal assays provides a powerful tool for investigating
multiple dimensions of cellular heterogeneity, enabling new insights into development …

Most methods for single-cell transcriptome sequencing amplify the termini of polyadenylated
transcripts, capturing only a small fraction of the total cellular transcriptome. This precludes …