High-throughput single-cell profiling provides an unprecedented ability to uncover the
molecular states of millions of cells. These technologies are, however, destructive to cells …

A paradigm for biology is emerging in which cells can be genetically programmed to write
their histories into their own genomes. These records can subsequently be read, and the …

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 …

Single-cell and single-nucleus genomic approaches can provide unbiased and multimodal
insights. Here, we discuss what constitutes a molecular cell atlas and how to leverage single …

Single-cell and spatial omics datasets can be organized and interpreted by annotating
single cells to distinct types, states, locations or phenotypes. However, cell annotations are …

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 …

RNA velocity, as an extension of trajectory inference, is an effective method for
understanding cell development using single-cell RNA sequencing (scRNA-seq) …

A core challenge for modern biology is how to infer the trajectories of individual cells from
population-level time courses of high-dimensional gene expression data. Birth and death of …

A critical element of cell identity is the cell that created the observed cell. This parent cell
dictates many aspects of its identity, whether measured by function, phenotype, or specific …