Single-cell manipulation and analysis is essential for studying many fundamental biological
processes and discovering cellular heterogeneity. Multi-parameter studies of intercellular …

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

Single-cell RNA sequencing allows us to model cellular state dynamics and fate decisions
using expression similarity or RNA velocity to reconstruct state-change trajectories; however …

Conventional dendritic cells (cDCs) are professional antigen-presenting cells that control the
adaptive immune response. Their subsets and developmental origins have been intensively …

Realizing the full utility of brain organoids to study human development requires
understanding whether organoids precisely replicate endogenous cellular and molecular …

During development, animals generate distinct cell populations with specific identities,
functions, and morphologies. We mapped transcriptionally distinct populations across …

The mammalian cerebral cortex has an unparalleled diversity of cell types, which are
generated during development through a series of temporally orchestrated events that are …

We describe a workflow for preprocessing of single-cell RNA-sequencing data that balances
efficiency and accuracy. Our workflow is based on the kallisto and bustools programs, and is …

Single-cell RNA sequencing (scRNA-seq) is a powerful tool for defining cellular diversity in
tumors, but its application toward dissecting mechanisms underlying immune-modulating …

The early window of human embryogenesis is largely a black box for developmental
biologists. Here we probed the cellular diversity of 4–6 week human embryos when …