Among single-cell analysis technologies, single-cell RNA-seq (scRNA-seq) has been one of
the front runners in technical inventions. Since its induction, scRNA-seq has been well …

Single cell RNA sequencing (scRNA-seq) provides a powerful approach for profiling
transcriptomes at single cell resolution. An essential application of scRNA-seq is the …

Single cell transcriptome profiling has emerged as a breakthrough technology for the high-
resolution understanding of complex cellular systems. Here we report a flexible, cost …

The developing neocortex in the mammalian brain is composed of multiple cell types
including apical progenitors (AP), basal progenitors (BP), and neurons that populate three …

Quantitative analysis of single‐cell RNA sequencing (RNA‐seq) is crucial for discovering the
heterogeneity of cell populations and understanding the molecular mechanisms in different …

Cell heterogeneity studies using single-cell sequencing are gaining great significance in the
era of personalized medicine. In particular, characterization of tumor heterogeneity is an …

Epigenome regulation has emerged as an important mechanism for the maintenance of
organ function in health and disease. Dissecting epigenomic alterations and resultant gene …

Single-cell 'omics technologies have the potential to revolutionize our understanding of
stochasticity and heterogeneity in biology, yet such measurements are inevitably affected by …

RNA sequencing (RNAseq) has been widely used to generate bulk gene expression
measurements collected from pools of cells. Only relatively recently have single-cell …

Single-cell RNA sequencing has enabled researchers to quantify the transcriptomes of
individual cells, infer cell types and investigate differential expression among cell types …