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🔬 Proteomics/Omics · Method

Single-Cell Sequencing

Single-cell transcriptome analysis
🎯 Difficulty ★★★ Advanced Duration About 2–4 days 🎯 Use Resolve tissue heterogeneity, cell types and developmental trajectories
📖 Principle
Partition single cells each tagged with unique barcode, build library and sequence, deconvolute expression by barcode
Below are 4 steps. Open each to see how to do it and add products to your shared list.

📋 Workflow

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1

Single-cell suspension preparation

1 h
Gently dissociate tissue/culture into high-viability single-cell suspension
💡 Tip Viability and clump control are critical
⚠️ Caution Avoid over-dissociation causing damage/transcriptional response
🧪 Materials for this step (click to shop by spec/brand)
2

Droplet partitioning and barcoding

1 h
Use microfluidics to partition single cells with barcoded gel beads into droplets
💡 Tip Target several thousand UMIs per cell
⚠️ Caution Control cell:bead ratio by concentration
🧪 Materials for this step (click to shop by spec/brand)
3

Library construction and sequencing

1–3 days
Amplify barcoded cDNA with adapters, build library and sequence
💡 Tip Depth adjusted per cell number
⚠️ Caution Prevent barcode cross-sample contamination
🧪 Materials for this step (click to shop by spec/brand)
4

Dimensionality reduction and clustering

1 day
QC, quantify, deconvolute cells by barcode, reduce dimensionality and cluster to identify cell types
💡 Tip Annotate clusters with marker genes
⚠️ Caution Remove doublets and low-quality cells
🧪 Materials for this step (click to shop by spec/brand)

⚠️ 5 Common Beginner Mistakes

  • Low viability degrades data quality
  • Doublets/empty droplets disturb analysis
  • Dissociation-induced transcriptome changes
  • Low depth misses low-expression
  • Batch effects confound cell identity

❓ FAQ

+Single-cell vs bulk RNA-seq?
Single-cell resolves per-cell expression and heterogeneity; bulk gives population average.
+How to identify cell types?
Annotate clusters with known marker genes and reference atlases.
+How to remove doublets?
Use software methods based on UMI/gene counts to predict and filter doublets.

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Data authenticity: Product categories from JW Supply Chain standard taxonomy; method→step→product connected. Last updated: 2026-08-23 · v3.0