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

Recent technological advancements have enabled the profiling of a large number of
genome-wide features in individual cells. However, single-cell data present unique …

Large single-cell atlases are now routinely generated to serve as references for analysis of
smaller-scale studies. Yet learning from reference data is complicated by batch effects …

Triple-negative breast cancer (TNBC) is an aggressive subtype associated with early
metastatic recurrence and worse patient outcomes. TNBC tumors express molecular …

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 …

Precise temporal control of gene expression in neuronal progenitors is necessary for correct
regulation of neurogenesis and cell fate specification. However, the cellular heterogeneity of …

Intratumor heterogeneity is a common characteristic across diverse cancer types and
presents challenges to current standards of treatment. Advancements in high-throughput …

The development of single-cell RNA sequencing (scRNA-seq) has allowed high-resolution
analysis of cell-type diversity and transcriptional networks controlling cell-fate specification …

Spatial transcriptomics (ST) technologies detect mRNA expression in single cells/spots
while preserving their two-dimensional (2D) spatial coordinates, allowing researchers to …

Autonomous regulation of the intestine requires the combined activity of functionally distinct
neurons of the enteric nervous system (ENS). However, the variety of enteric neuron types …