Single-cell RNA sequencing (scRNA-seq) has emerged as a powerful tool for resolving
transcriptional heterogeneity. However, its application to studying cancerous tissues is …

Characterization of intratumoral heterogeneity is critical to cancer therapy, as the presence
of phenotypically diverse cell populations commonly fuels relapse and resistance to …

Unlike population-level approaches, single-cell RNA sequencing enables transcriptomic
analysis of an individual cell. Through the combination of high-throughput sequencing and …

To address how genetic variation alters gene expression in complex cell mixtures, we
developed direct nuclear tagmentation and RNA sequencing (DNTR-seq), which enables …

Intratumoral heterogeneity is among the greatest challenges in precision cancer therapy.
However, developments in high-throughput single-cell RNA sequencing (scRNA-seq) may …

Cancers are a group of heterogeneous diseases characterized by the acquisition of
functional capabilities during the transition from a normal to a neoplastic state. Powerful …

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

Single-cell RNA sequencing (scRNA-seq) of tissues has revealed remarkable heterogeneity
of cell types and states but does not provide information on the spatial organization of cells …

Extensive genomic and transcriptomic heterogeneity in human cancer often negatively
impacts treatment efficacy and survival, thus posing a significant ongoing challenge for …

Intratumoral heterogeneity is a major obstacle to cancer treatment and a significant
confounding factor in bulk-tumor profiling. We performed an unbiased analysis of …