Single-cell RNA Sequencing
Single-cell RNA-seq Coming soon
What is single-cell RNA sequencing?
Single-cell RNA sequencing (scRNA-seq) looks at gene activity one cell at a time. Instead of blending signals from thousands of cells like traditional methods, it shows what each individual cell is doing — revealing hidden differences between cells, even within the same tissue.
Why scRNA-seq
Why use single-cell RNA sequencing?
scRNA-seq unlocks a deeper understanding of biology by revealing the unique gene-expression patterns of individual cells. Here’s what makes it indispensable.
Identify cell types & states
Group cells by their expression profiles to uncover distinct types (e.g., T cells, fibroblasts) and dynamic states (e.g., activated vs. resting).
Example: Distinguish tumor cells from infiltrating immune cells in cancer tissues.
Dissect cellular heterogeneity
Not all cells in a tissue behave the same. scRNA-seq reveals subtle differences in gene activity — from reconstructing developmental timelines with pseudotime to mapping expression across plant tissues.
Detect rare or novel cell types
Identify low-abundance or previously unknown cell populations that bulk RNA-seq would miss — such as early progenitors or rare immune subsets.
Analyze cellular responses in disease
Track how individual cells react to complex environments like tumors, infections, or inflammation, to understand cell-specific behavior in pathological conditions.
Study cellular variants
Advanced protocols (e.g., Smart-seq2) detect alternative splicing, gene fusions, and single-nucleotide variants (SNVs) at single-cell resolution.
Discover biomarkers & therapeutic targets
Pinpoint disease-associated markers unique to specific cell types, accelerating biomarker discovery and precision medicine.
Interested in single-cell analysis?
Liragen Insights delivers no-code, AI-driven bulk RNA-seq analysis today — and we’d love to talk about your single-cell project. Explore the platform or reach out.