Single-cell RNA sequencing has established itself as one of the most important technologies for studying the transcriptome of individual cells at high resolution. One area where it is making a ...

Many studies have used single-cell RNA sequencing (scRNA-seq) to infer gene regulatory networks (GRNs), which are crucial for ...

This study provides evidence that single-cell multi-omics profiling can reveal key regulators of HIV-1 persistence and early immune dysregulation, particularly implicating KLF2 and Th17 cells as major ...

In the present study, single-cell RNA sequencing was performed on the cochlear duct of postnatal rats at ... Countess II Automated Cell Counter and concentration adjusted to 700–1200 cells/μl.

R package with collection of functions created and/or curated to aid in the visualization and analysis of single-cell data using R.

Data normalization is vital to single-cell sequencing ... the genes associated with an outcome in RNA-Seq or other sequencing-based comparative genomic experiments. SAMstrt is developed on this method ...

Here, we report a systematic transcriptional atlas to delineate molecular and cellular heterogeneity in GA using single-cell RNA sequencing (scRNA-seq). Design We performed unbiased transcriptome-wide ...

163.com Objectives The heterogeneity of meniscus cells and the mechanism of meniscus degeneration is not well understood. Here, single-cell RNA sequencing (scRNA-seq) was used to identify various ...

Objective Innate immunity plays important roles in pancreatic ductal adenocarcinoma (PDAC), as non-T-cell-enriched tumour. Neutrophils are major players in innate immune system. Here, we aimed to ...

scplotter is an R package that is built upon plotthis. It provides a set of functions to visualize single-cell sequencing data in an easy and efficient way.