Single-cell RNA-seq coupled to a new functional annotation approach identifies distinct functional states of Th17 cells and the underlying molecular mechanisms that regulate their pathogenicity. Jellert T. Gaublomme,N Yosef,Y Lee,... - 《Cell》 被引量: 143发表: 2015年 加载更多来源...
Overall, scEccDNAdb is a comprehensive database for analyzing single-cell eccDNA data across diverse cell types, tissues, and species. Database URL: https://lcbb.swjtu.edu.cn/scEccDNAdb/Wang WenqingZhao XinyuMa TianyuZhong TengweiZheng Junnuo...
Molecular profiling of single cells has advanced our knowledge of the molecular basis of development. However, current approaches mostly rely on dissociating cells from tissues, thereby losing the crucial spatial context of regulatory processes. Here, we apply an image-based single-cell transcriptomics ...
Nevertheless, current single-cell studies aiming to characterize cell types in the brain using single-cell RNA sequencing (scRNA-seq) have relied mostly on gene-level analysis. This is, in part, owing to the nature of the data produced by the highest-throughput single-cell methods. Popular hig...
Counts consistent with reference data for mouse RBCs were obtained (6.00–9.00 × 109 cell/ml). Conventional slides of processed (five batches) and unprocessed blood, stained with Azure B (31) or May-Gruünwald Giemsa (32), were counted for white blood cells (WBCs), granulocytes, monocytes...
Empty CellOverall incidenceHighest incidence in a single study AnomalyNumber of fetuses with change (%)Number of litters with change (%)Number of fetuses with change (%)Number of litters with change (%) Agenesis 1/5544 (0.018%) 1/1439 (0.069%) 1/129 (0.775%) 1/35 (2.857%) Hypoplasia...
Single-cell RNA sequencing is an increasingly used method to measure gene expression at the single cell level and build cell-type atlases of tissues. Hundreds of single-cell sequencing datasets have already been published. However, studies are frequently deposited as raw data, a format difficult to...
2013). Information on the comparative genomic variations was made available in a public database named NIG_MoG (Takada et al. 2015). The data on single nucleotide polymorphisms (SNPs) in MSM and JF1 has been widely used to identify allele-specific markers for epigenetic and gene expression ...
Single-cell RNA-seq is an unbiased approach that has extended our understanding of heterogeneous tissues, including mouse and human embryonic gonads.18,19,20We reasoned that analysis of stage-specific gene expression profiles of individual spermatogenic cells could provide unbiased and novel insights int...
In our single-cell ribosome occupancy data—the germinal vesicle, MII and one-cell stages—we observed a median of 48,017 unique molecules originating from the coding regions of transcripts, leading to the detection of an average of 5,064 genes per cell (range 4,076–6,679; Extended Data ...