scRNA-Seq Overview

Single-Cell RNA-Seq (scRNA-Seq) enables transcriptome analysis at the single-cell level. Understanding the transcriptome profile at single-cell resolution can help deconvolute gene expression in heterogenous populations.
What are the advantages of using scRNA-Seq?
scRNA-Seq can be used to identify cell subpopulations with different transcriptome profiles within complex samples, eliminating the need for isolation strategies like FACS or magnetic sorting that could alter the biology of the sample due to sample manipulation. For example:
- Identifying novel cell subpopulations that are responsible for response to drug treatments (responders vs. resistant cells)
- Identifying subpopulations of cells with variations in gene expression that can provide insight into developmental trajectories (for example, brain development, T-helper cell development, B-cell differentiation)
Active Motif’s end-to-end scRNA-Seq Service includes:
- Cell preparation
- Sample processed using 10X Genomics Chromium platform
- Library generation
- Sequencing
- Bioinformatic analysis
scRNA-Seq Data
Figure 1: Identify unique subpopulations of cells within a single sample.
Single-Cell RNA-Seq data generated from human PBMCs. Each color-coded cluster on the UMAP plot represents populations of cells that have the same gene expression profile. 20 refined clusters were identified.
Figure 2: Heatmap of differentially expressed genes per cluster.
Genes that are differentially expressed in each cluster are displayed as a heatmap.
scRNA-Seq FAQ
What is single-cell RNA-Seq?
How is scRNA-Seq different from bulk RNA-Seq?
Is this service only offered for human samples?
Is this service available for tissue samples?
Is scRNA-Seq compatible with FFPE samples?
How many cells are required for Active Motif’s scRNA-Seq Service?
What is the read depth for Active Motif’s scRNA-Seq Service?
scRNA-Seq Documents
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Name | Cat No. | Price | |
---|---|---|---|
scRNA-Seq Service | 25096 | Get Quote |