Single-cell RNA-seq mammalian transcriptome studies are at an early stage in uncovering
cell-to-cell variation in gene expression, transcript processing and editing, and regulatory …

Single-cell RNA-seq (scRNA-seq) provides a comprehensive measurement of stochasticity
in transcription, but the limitations of the technology have prevented its application to dissect …

Single-cell RNA-sequencing (scRNA-seq) facilitates identification of new cell types and
gene regulatory networks as well as dissection of the kinetics of gene expression and …

Background Early single-cell RNA-seq (scRNA-seq) studies suggested that it was unusual
to see more than one isoform being produced from a gene in a single cell, even when …

The human transcriptome is so large, diverse, and dynamic that, even after a decade of
investigation by RNA sequencing (RNA-seq), we have yet to resolve its true dimensions …

Background Differentiation of metazoan cells requires execution of different gene
expression programs but recent single-cell transcriptome profiling has revealed …

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 …

Single-cell transcriptomics reveals gene expression heterogeneity but suffers from
stochastic dropout and characteristic bimodal expression distributions in which expression is …

Single-cell RNAseq and alternative splicing studies have recently become two of the most
prominent applications of RNAseq. However, the combination of both is still challenging …

Single-cell RNA sequencing (scRNA-seq) has significantly deepened our insights into
complex tissues, with the latest techniques capable of processing tens of thousands of cells …