Single-Cell RNA Sequencing

How it works

Single-cell RNA sequencing combines cell capture, barcoding and sequencing to profile expression in individual cells. It helps identify cell populations, compare cell states and investigate differentiation and cell-cell communication in complex tissues.

Applications

• Characterize tumor cell subpopulations and the surrounding microenvironment
• Compare cell states in neural, immune and other cell populations
• Explore differentiation trajectories and ligand-receptor interactions

Key features

• Resolves expression differences that are obscured in bulk measurements
• Supports rare-cell population discovery and marker gene identification
• Sample preparation and capture strategy matched to the cells or nuclei being studied

Workflow

1. 01

   Prepare cells or nuclei and assess sample quality

2. 02

   Capture and barcode cells and perform reverse transcription

3. 03

   Construct and sequence libraries and generate expression matrices

4. 04

   Filter cells, annotate populations and compare cell states

We tailor the experimental workflow and analysis to your samples and study objectives.