Single-cell transcriptomic technologies have emerged as powerful tools to explore cellular
heterogeneity at the resolution of individual cells. Previous scientific knowledge in cell …

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 …

Single-cell gene expression studies promise to reveal rare cell types and cryptic states, but
the high variability of single-cell RNA-seq measurements frustrates efforts to assay …

Full-length RNA sequencing (RNA-Seq) has been applied to bulk tissue, cell lines and
sorted cells to characterize transcriptomes,,,,,,,,,,, but applying this technology to single cells …

Human tissues comprise trillions of cells that populate a complex space of molecular
phenotypes and functions and that vary in abundance by 4–9 orders of magnitude. Relying …

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

We developed a massive-scale RNA sequencing protocol, short quantitative random RNA
libraries or SQRL, to survey the complexity, dynamics and sequence content of …

Single-nucleus RNA-seq (snRNA-seq) enables the interrogation of cellular states in
complex tissues that are challenging to dissociate or are frozen, and opens the way to …

RNA-seq is an effective method for studying the transcriptome, but it can be difficult to apply
to scarce or degraded RNA from fixed clinical samples, rare cell populations or cadavers …

High-throughput single-cell RNA sequencing has transformed our understanding of complex
cell populations, but it does not provide phenotypic information such as cell-surface protein …