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 …

Single-cell gene expression analyses hold promise for characterizing cellular heterogeneity,
but current methods compromise on either the coverage, the sensitivity or the throughput …

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 …

In the last few years single-cell RNA sequencing (scRNA-seq) has enabled the investigation
of cellular heterogeneity at the transcriptional level, the characterization of rare cell types as …

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 …

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 sequencing (RNA-seq) is a powerful tool to reveal cellular heterogeneity,
discover new cell types and characterize tumor microevolution. However, losses in cDNA …

The quantification of transcriptional variation in single cells, particularly within the same cell
population, is currently limited by the low sensitivity and high technical noise of single-cell …

During the last decade, high‐throughput sequencing methods have revolutionized the entire
field of biology. The opportunity to study entire transcriptomes in great detail using RNA …

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 …