High Throughput Single Cell RNA-Seq Service Description
Cell populations are heterogeneous and unsynchronized in their characteristics. Traditional bulk RNA sequencing generates comprehensive information but does not provide insight into variable expression between cells. High throughput single cell RNA-Seq provides a scalable solution for cell characterization and gene expression profiling of hundreds to millions of cells. High throughput single cell RNA-Seq technology is able to handle a large quantity of single cells fast and accurately, providing research solutions across a wide variety of applications including cancer, neurology, and immunology.
DNBSEQ™ NGS technology platform
BGI's Single Cell Sequencing service is typically executed with our proprietary DNBSEQ™ NGS technology platform, for great sequencing data at the competitive pricing in the industry.
DNBSEQ™ is a proprietary sequencing technology, developed by MGI. This system is powered by combinatorial Probe-Anchor Synthesis (cPAS), linear isothermal Rolling-Circle Replication and DNA Nanoballs (DNB™) technology, followed by high-resolution digital imaging.
Discovering new cells and cell subtypes
Studying tissue and cell group heterogeneity
Studying tumor-immune cell interaction
Searching for marker genes for drug development
Project Workflow
- SINGLE CELL PREPARATIONSample QC
- LIBRARY PREPARATIONLibrary QC
- LIBRARY CIRCULARISATIONSequencing QC
- SEQUENCINGData QC
- BIOINFORMATICS
How to order
Sequencing Service Specification
Sequencing
- Guaranteed ≥90% of bases with quality score of ≥Q20
- DNBSEQ™ PE100 or PE150 options
- Raw data and bioinformatics analysis are available in standard file formats
Turnaround Time
- Typical 35 working days from sample QC acceptance to filtered raw data availability
- Expedited services are available, contact your local BGI specialist for details
Sample Requirements
Cell line/Tissue/PBMC:
- After sample processing, freeze cells at a final concentration of 1x10^6 cells/ml in cryopreserved tubes (Cell freezing medium: 90% FBS+10% DMSO)
Data Analysis
Sequencing Result
Comparison Result
Quantitative Analysis
Data QC
Cell Cluster
Differential Gene Identification Between Samples
Cell Cluster Annotation
Marker Gene/Differentially Expressed Gene GO Pathway
Marker Gene/Differentially Expressed Gene KEGG Pathway Fnrichment
RNA Velocity
CellPhone DB
Pseudotemporal Ordering
Customized Cell Cluster Analysis
Customized Cell Cluster Annotation By Database of your choice
Gene-Protein Interaction Analysis
Gene Function Enrichment Analysis
Dynamic Interactive Analysis of Cell Type And Cell Trajectory Analysis
Different Dimension Analysis of Differential Gene Between Cell Types/Samples
Further customization of bioinformatics analysis to suit your unique project is available: Please contact your BGI technical representative