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

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 …

Advances in high-throughput single cell transcriptomics technologies have revolutionized
the study of complex tissues. It is now possible to measure gene expression across …

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 RNA-seq …

We describe a universal sample multiplexing method for single-cell RNA-seq in which cells
are chemically labeled with identifying DNA oligonucleotides. Analysis of a 96-plex …

Single-cell RNA-seq (scRNA-seq) technologies are broadly applied to dissect the cellular
heterogeneity and expression dynamics, providing unprecedented insights into single-cell …

How to model and analyze scRNA-seq data has been the subject of considerable confusion
and debate. The high proportion of zero counts in a typical scRNA-seq data matrix has …

The field of single-cell RNA sequencing (scRNA-seq) has been paired with genomics,
epigenomics, spatial omics, proteomics and imaging to achieve multimodal measurements …

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 …

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 …