Minimum Sequencing Depth: 5,000 read pairs/targeted cell (for more information please refer tothis guide). Dual-Indexed Sequencing Run: Single Cell 5' v3 V(D)J libraries are dual-indexed. We do not recommend sequencing 10x Single Cell 5' v3 V(D)J libraries with a sin...
a discovery dataset of single-cell RNA sequencing (scRNA-seq) from microglia (Fig.1a) based on which we define the basic population structure of microglia, in situ confirmation of our findings (Fig.1b) and independent replication of our observation in two independent datasets (Fig.1c, d). ...
Single cell sequencing was performed on brain cells from the cerebral cortex, striatum, and thalamus. cDNA libraries were prepared from single-cell suspensions using the 10 × Genomics 3′ V3 protocol. The single-cell suspensions were loaded onto a Chromium Single-Cell Controller Instrument (10...
Kawasaki disease (KD) is the most common cause of acquired heart disease in children in developed countries. Although functional and phenotypic changes of immune cells have been reported, a global understanding of immune responses underlying acute KD is unclear. Here, using single-cell RNA sequencin...
Here, we describe a whole-genome bisulfite sequencing (WGBS) assay that enables DNA methylation mapping in very small cell populations (μWGBS) and single cells (scWGBS). Our assay is optimized for profiling many samples at low coverage, and we describe a bioinformatic method that analyzes ...
Single-cell genome sequencing has proven valuable for the detection of somatic variation, particularly in the context of tumor evolution. Current technologies suffer from high library construction costs, which restrict the number of cells that can be assessed and thus impose limitations on the ability...
Advances in DNA sequencing enable the analysis of the genomes and transcriptomes of single cells and will soon enable single-cell epigenomic and proteomic analyses. Single-cell genomic analysis can reveal genomic variability among individual cells, which can be used to reconstruct cellular ancestries ...
Single-cell RNA-sequencing (scRNA-seq) has been recently used for the profiling of tumor microenvironments7,8. This technology allows massively parallel characterization of thousands of cells at the transcriptome level. Previous scRNA-seq studies related to lung cancer have been limited to early stage...
Here we use deep single-cell RNA sequencing (scRNAseq) together with other experimental approaches to investigate fate choices, lineage relationships and molecular determinants during early stages of sensory neurogenesis in the mouse. Overall, our data provide insights into the structure of the Waddingto...
Single-cell RNA sequencing analysis identified 12 B-cell subtypes and characterized the transcriptomic heterogeneity of B cells in muscle-invasive bladder cancer (MIBC). The interferon-stimulated B-cell subtype (B-ISG15) and germinal center-associated B-cell subtypes (B-LMO2, B-STMN1) were signi...