Here, we report a systematic transcriptional atlas to delineate molecular and cellular heterogeneity in GA using single-cell RNA sequencing (scRNA-seq ... heterogeneity remains a topic of great ...

Note The "current" best practices that are detailed in this workflow were set up in 2019. Thus, they do not necessarily follow the latest best practices for scRNA-seq analysis anymore. For an ...

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

Single-cell and bulk RNA sequencing data generated in this study are deposited at the National Omics ... unveiling the neutrophil heterogeneity at single-cell level for the first time. A terminally ...

Scientists gain valuable insights into cellular diversity and functions, disease mechanisms, developmental processes, and drug responses by examining the transcriptome of tissues using single-cell RNA ...

Methods: CD45 + immune cells were enriched by fluorescence-activated cell sorting. Single-cell RNA sequencing was used to analyze the cellular landscape of immune cells in keloid and normal scar ...

To maintain its effectiveness, the immune system produces highly specialized cell types that work together to prevent, preserve the memory and eliminate threats (1). Meanwhile, human immune system ...

retriever generates disease-specific transcriptional drug response signatures by merging transcriptional signatures over time, concentration, and cell-type. These signatures can then be matched to ...

Single nucleus RNA sequencing (snRNA-seq), an alternative to single cell RNA sequencing (scRNA-seq), encounters technical challenges in obtaining high-quality nuclei and RNA, persistently hindering ...

Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, P. R. China University of Chinese Academy of Sciences, Beijing 100049, P. R. China State Key ...