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

The origin and evolution of cell types has emerged as a key topic in evolutionary biology.
Driven by rapidly accumulating single-cell datasets, recent attempts to infer cell type …

The origin and evolution of cell types has emerged as a key topic in evolutionary biology.
Driven by rapidly accumulating single-cell datasets, recent attempts to infer cell type …

Cross-species comparative analyses of single-cell RNA sequencing (scRNA-seq) data allow
us to explore, at single-cell resolution, the origins of the cellular diversity and evolutionary …

Unprecedented technological advances in single-cell RNA-sequencing (scRNA-seq)
technology have now made it possible to profile genome-wide expression in single cells at …

In the same way that a phylogeny summarizes the evolutionary history of species, a cell
lineage tree describes the process of clonal expansion, in which gene expression …

Welch et al. and Stuart et al. present novel techniques for the integration of single-cell RNA-
seq datasets across multiple platforms, individuals, and species. They both extend these …

Single-cell sequencing (scRNA-seq) has enabled researchers to study cellular
heterogeneity. Accurate cell type identification is crucial for scRNA-seq analysis to be valid …

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 …