The ability to profile hundreds of thousands to millions of single cells using scRNA-
sequencing has revolutionized the fields of cell and developmental biology, providing …

Comparisons of single-cell RNA sequencing (scRNA-seq) data across species can reveal
links between cellular gene expression and the evolution of cell functions, features, and …

The more than 1000 single-cell transcriptomics studies that have been published to date
constitute a valuable and vast resource for biological discovery. While various 'atlas' projects …

The field of single-cell RNA sequencing (scRNA-seq) has been paired with genomics,
epigenomics, spatial omics, proteomics and imaging to achieve multimodal measurements …

Single-cell transcriptomics (SCT) is a tour de force in the era of big omics data that has led to
the accumulation of massive cellular transcription data at an astounding resolution of single …

Single-cell transcriptomics provides an opportunity to characterize cell-type-specific
transcriptional networks, intercellular signaling pathways and cellular diversity with …

The advent of single-cell sequencing started a new era of transcriptomic and genomic
research, advancing our knowledge of the cellular heterogeneity and dynamics. Cell type …

Single-cell analysis is a rapidly evolving approach to characterize genome-scale molecular
information at the individual cell level. Development of single-cell technologies and …

The evolution and diversification of cell types is a key means by which animal complexity
evolves. Recently, hierarchical clustering and phylogenetic methods have been applied to …

Single-cell RNA sequencing (scRNA-seq) has generated numerous data and renewed our
understanding of biological phenomena at the cellular scale. Identification of cell types has …