基于以上问题,作者综述了目前scRNA-seq分析流程、步骤和方法(Figure 1),提出了一套目前最佳的实践分析流程,详见theislab/single-cell-tutorial. 这套分析流程在Jupyter–Ipython notebook 进行,包括R和python语言,可推荐作为一套分析模版。 Figure 1. Schematic of a typical single-cell RNA-seq analysis workflow. ...
Over the past decade, single-cell RNA-sequencing (scRNA-seq) technologies and associated analysis methods have rapidly developed and been applied to a wide range of biological systems [1,2]. The large number of analysis methods available presents a significant challenge for data analysts who are ...
Nature and distribution of the single-cell RNA sequencing data The primary goal of this report is to derive a model of microglial population structure with which we can generate and test disease-related hypotheses. Figure1details the workflow and the design of this study, which included a discove...
In this study, we used single-cell RNA-sequencing (scRNAseq) to define the molecular logic by which SGN subtypes diversify in the mouse. Our detailed analysis of transcriptional dynamics of SGNs from several embryonic and perinatal stages indicates that neuronal subtypes successively emerge during HC...
Experiment-related workflow of scRNA-seq techniques Advances of individual-cell RNA sequencing in carcinoma Immune cells Non-immune cells Combination of scRNA-seq and other methods Use of individual-cell RNA sequencing inside different fields Conclusions and perspective Author contributions Declaration of in...
Single-cell RNA sequencing (scRNA-Seq) has enabled unprecedented insight into the biology and pathology of individual cells across a broad range of discovery and disease applications. However, specialized capital equipment, high reagent costs, lack of accessibility, and scalability are key factors ...
we performed single-cell RNA sequencing (scRNA-seq) on cells isolated from the JEV-highly infected regions of mouse brain. We obtained 88,000 single cells and identified 34 clusters representing 10 major cell types. The scRNA-seq results revealed an increasing amount of activated microglia cells ...
Detailed workflow tutorial 35:53 9 The Beginner's guide to bulk RNA sequencing vs single-cell RNA Sequencing 12:24 10 Single-cell Trajectory analysis using Monocle3 and Seurat _ Step-by-step tuto 48:43 11 Automatic cell-annotation for single-cell RNA-Seq data using a reference data 34:12...
Although substantial progress has been made in cancer biology and treatment, clinical outcomes of bladder carcinoma (BC) patients are still not satisfactory. The tumor microenvironment (TME) is a potential target. Here, by single-cell RNA sequencing on 8
Here, we used single-cell RNA sequencing (scRNA-seq) to decipher the composition and functions of GAMs in murine experimental GL261 gliomas grown in male and female mice. We demonstrate distinct transcriptional programs of microglia (MG), monocytes/macrophages (Mo/MΦ), and CNS BAMs. The ident...