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

Artificial intelligence (AI) tools are increasingly being applied in drug discovery. While some
protagonists point to vast opportunities potentially offered by such tools, others remain …

Neutrophils are implicated in multiple homeostatic and pathological processes, but whether
functional diversity requires discrete neutrophil subsets is not known. Here, we apply single …

Single‐cell RNA‐seq has enabled gene expression to be studied at an unprecedented
resolution. The promise of this technology is attracting a growing user base for single‐cell …

Rapid progress in the development of next-generation sequencing (NGS) technologies in
recent years has provided many valuable insights into complex biological systems, ranging …

To facilitate scalable profiling of single cells, we developed split-pool ligation-based
transcriptome sequencing (SPLiT-seq), a single-cell RNA-seq (scRNA-seq) method that …

Knowledge of immune cell phenotypes in the tumor microenvironment is essential for
understanding mechanisms of cancer progression and immunotherapy response. We …

Researchers view vast zeros in single-cell RNA-seq data differently: some regard zeros as
biological signals representing no or low gene expression, while others regard zeros as …

Studies with temporal or spatial resolution are crucial to understand the molecular dynamics
and spatial dependencies underlying a biological process or system. With advances in high …

Single-cell RNA-seq quantifies biological heterogeneity across both discrete cell types and
continuous cell transitions. Partition-based graph abstraction (PAGA) provides an …