The ability to interrogate total RNA content of single cells would enable better mapping of
the transcriptional logic behind emerging cell types and states. However, current single-cell …

Large-scale sequencing of RNA from individual cells can reveal patterns of gene, isoform
and allelic expression across cell types and states. However, current short-read single-cell …

Emerging methods for the accurate quantification of gene expression in individual cells hold
promise for revealing the extent, function and origins of cell-to-cell variability. Different high …

Interest in single-cell whole-transcriptome analysis is growing rapidly, especially for profiling
rare or heterogeneous populations of cells. We compared commercially available single-cell …

Measurement of the transcriptomes of single cells has been feasible for only a few years, but
it has become an extremely popular assay. While many types of analysis can be carried out …

RNA-sequencing (RNA-seq) has become the tool of choice for transcriptomics. Several
recent studies demonstrate its successful adaption to single cell analysis. This allows new …

Recent technical advances have enabled RNA sequencing (RNA-seq) in single cells.
Exploratory studies have already led to insights into the dynamics of differentiation, cellular …

Single-cell RNA-seq has emerged as a powerful tool in diverse applications, from
determining the cell-type composition of tissues to uncovering regulators of developmental …

Recent advances in large-scale single-cell RNA-seq enable fine-grained characterization of
phenotypically distinct cellular states in heterogeneous tissues. We present scScope, a …

Single-cell gene expression studies promise to reveal rare cell types and cryptic states, but
the high variability of single-cell RNA-seq measurements frustrates efforts to assay …