Intercellular signaling molecules, known as morphogens, act at a long range in developing
tissues to provide spatial information and control properties such as cell fate and tissue …

Graph machine learning (GML) is receiving growing interest within the pharmaceutical and
biotechnology industries for its ability to model biomolecular structures, the functional …

Transcriptome engineering applications in living cells with RNA-targeting CRISPR effectors
depend on accurate prediction of on-target activity and off-target avoidance. Here we design …

Regulation of biological processes typically incorporates mechanisms that initiate and
terminate the process and, where understood, these mechanisms often involve feedback …

RNA velocity has opened up new ways of studying cellular differentiation in single-cell RNA-
sequencing data. It describes the rate of gene expression change for an individual gene at a …

Exosomes are small, single-membrane, secreted organelles of∼ 30 to∼ 200 nm in
diameter that have the same topology as the cell and are enriched in selected proteins …

RNA velocity has enabled the recovery of directed dynamic information from single‐cell
transcriptomics by connecting measurements to the underlying kinetics of gene expression …

P values and error bars help readers infer whether a reported difference would likely recur,
with the sample size n used for statistical tests representing biological replicates …

We present SCENIC, a computational method for simultaneous gene regulatory network
reconstruction and cell-state identification from single-cell RNA-seq data (http://scenic …

Mammalian gene expression is inherently stochastic,, and results in discrete bursts of RNA
molecules that are synthesized from each allele,,,–. Although transcription is known to be …