… cell type information across multiple datasets. Here we present a generalizable nomenclature convention, the common cell … myeloid cells revealed by deep Single-CellRNAsequencing…
… -cellRNA-sequencing (scRNA-seq) is revolutionizing our understanding of the genomic, transcriptomic and epigenomic landscapes of cells … to billions of diverse cells with either highly …
… oligodendrocytes, microglia, endothelial cells, and pericytes from mouse … cell types by RNA sequencing and used a sensitive algorithm to detect alternative splicing events in each cell …
L Chen, JW Lee, CL Chou, AV Nair… - Proceedings of the …, 2017 - National Acad Sciences
… Therefore, we believe that the single-cellRNA-seq data for collecting duct cells is likely to be representative of the cells as they are in the mice. Saxena et al. (31) have previously …
… -cellRNA-sequencing (scRNA-seq) technology provides a new avenue to discover and characterize cell … , that quantifies the degree to which cell types replicate across datasets, and …
LB Rodda, E Lu, ML Bennett, CL Sokol, X Wang… - Immunity, 2018 - cell.com
… Using droplet-based single-cellRNAsequencing, we identified nine peripheral LN non-… cells (TRCs), marginal reticular cells, follicular dendritic cells (FDCs), and perivascular cells. We …
… Notably, the magnitude of transcriptional divergence necessary for DoubletFinder detection did not always match established cell-type nomenclature, as DoubletFinder identified …
AC Villani, R Satija, G Reynolds, S Sarkizova… - Science, 2017 - science.org
… Using unbiased single-cellRNAsequencing (RNA-seq) of ~2400 cells, we identified six human DCs and four monocyte subtypes in human blood. Our study reveals a new DC subset …
… Here, we define a molecular taxonomy of 12 enteric neuron classes within the myenteric plexus of the mouse small intestine using single-cellRNAsequencing. We present cell–cell …