Cancer-associated fibroblasts (CAFs) found in primary and metastatic tumours are highly
versatile, plastic and resilient cells that are actively involved in cancer progression through …

Deciphering the principles and mechanisms by which gene activity orchestrates complex
cellular arrangements in multicellular organisms has far-reaching implications for research …

A key aspect of nearly all single-cell sequencing experiments is dissociation of intact tissues
into single-cell suspensions. While many protocols have been optimized for optimal cell …

Single-cell RNA sequencing (scRNA-seq) identifies cell subpopulations within tissue but
does not capture their spatial distribution nor reveal local networks of intercellular …

Single-cell RNA sequencing (scRNA-seq) distinguishes cell types, states and lineages
within the context of heterogeneous tissues. However, current single-cell data cannot …

Current computational workflows for comparative analyses of single-cell datasets typically
use discrete clusters as input when testing for differential abundance among experimental …

Advances in single-cell isolation and barcoding technologies offer unprecedented
opportunities to profile DNA, mRNA, and proteins at a single-cell resolution. Recently, bulk …

The reprogramming of somatic cells with defined factors, which converts cells from one
lineage into cells of another, has greatly reshaped our traditional views on cell identity and …

The recent boom in microfluidics and combinatorial indexing strategies, combined with low
sequencing costs, has empowered single-cell sequencing technology. Thousands—or even …

The rapid progress of protocols for sequencing single-cell transcriptomes over the past
decade has been accompanied by equally impressive advances in the computational …