Cell signaling plays a critical role in regulating cellular behavior and fate. While multimodal
single-cell sequencing technologies are rapidly advancing, scalable and flexible profiling of …

Single-cell RNA sequencing (scRNA-seq) has transformed our understanding of cell fate in
developmental systems. However, identifying the molecular hallmarks of potency-the …

This study develops a versatile cell multiplexing and data analysis platform to accelerate
knowledge gain into mechanisms of cell differentiation. We engineer a cell barcoding …

Single-cell transcriptomics has transformed our ability to characterize cell states, but deep
biological understanding requires more than a taxonomic listing of clusters. As new methods …

Concerted examination of multiple collections of single cell RNA-Seq (scRNA-Seq) data
promises further biological insights that cannot be uncovered with individual datasets …

Constructing an atlas of cell types in complex organisms will require a collective effort to
characterize billions of individual cells. Single cell RNA sequencing (scRNA-seq) has …

Single-cell and bulk genomics assays have complementary strengths and weaknesses, and
alone neither strategy can fully capture regulatory elements across the diversity of cells in …

Analysis of gene expression in single cells allows for decomposition of cellular states as low-
dimensional latent spaces. However, the interpretation and validation of these spaces …

Somatic stem cells contribute to tissue ontogenesis, homeostasis, and regeneration through
sequential processes. Systematic molecular analysis of stem cell behavior is challenging …

Leveraging AAVs' versatile tropism and labeling capacity, we expanded the scale of in vivo
CRISPR screening with single-cell transcriptomic phenotyping across embryonic to adult …