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 …

We describe a universal sample multiplexing method for single-cell RNA sequencing in
which fixed cells are chemically labeled by attaching identifying DNA oligonucleotides to …

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 …

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 …

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 …

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 …

The transcriptome encompasses a range of species including messenger RNA, and other
noncoding RNA such as rRNA, tRNA, and short and long noncoding RNAs. Due to the huge …

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 …

Genome-wide transcriptome analyses are routinely used to monitor tissue-, disease-and cell
type–specific gene expression, but it has been technically challenging to generate …

Single-cell whole-transcriptome analysis is a powerful tool for quantifying gene expression
heterogeneity in populations of cells. Many techniques have, thus, been recently developed …