Related Experiment Video
Updated: Dec 11, 2025

09:49
Isolation of Region-specific Microglia from One Adult Mouse Brain Hemisphere for Deep Single-cell RNA Sequencing
Published on: December 3, 2019
11.4K
Single-Cell Transcriptomics of Immune Cells: Cell Isolation and cDNA Library Generation for scRNA-Seq
Janilyn Arsenio1,2,3
1Department of Internal Medicine, University of Manitoba, Winnipeg, Manitoba, Canada. Janilyn.Arsenio@umanitoba.ca.
Methods in Molecular Biology (Clifton, N.J.)
|August 19, 2020
Summary
This study details a protocol for single-cell RNA sequencing (scRNA-seq) of immune cells. It optimizes cell isolation, library preparation, and quality control for analyzing cellular heterogeneity in biological systems.
Area of Science:
- Immunology
- Genomics
- Molecular Biology
Background:
- Single-cell RNA sequencing (scRNA-seq) is a powerful technique for analyzing cellular heterogeneity.
- Optimizing pre-sequencing experimental procedures is crucial for successful scRNA-seq.
- Understanding immune cell dynamics requires high-resolution transcriptomic data.
Purpose of the Study:
- To describe a detailed protocol for scRNA-seq of immune cells.
- To optimize the isolation and library preparation steps for scRNA-seq.
- To provide a framework for analyzing cellular heterogeneity in the immune system.
Main Methods:
- Isolation of CD8a+ T cells from murine spleen tissue.
- Generation of single-cell cDNA libraries using 10× Genomics Chromium Controller and Single Cell 3' Solution.
- Quality control assessment of cDNA libraries.
Main Results:
- A robust protocol for scRNA-seq of murine CD8a+ T cells was established.
- The protocol ensures high-quality cDNA library preparation for downstream analysis.
- The described methods are adaptable for various cell types and biological systems.
Conclusions:
- The presented protocol enables comprehensive transcriptomic analysis of individual immune cells.
- Optimization of experimental procedures enhances the reliability of scRNA-seq data.
- This methodology facilitates the study of cellular heterogeneity and immune system dynamics.

