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™ Technology Platforms
BGI Genomics' Single Cell Sequencing Services are typically executed with our proprietary DNBSEQ™ NGS technology platform, for great sequencing data at the competitive pricing in the industry.
DNBSEQ™ can offer advantages in terms of lower amplification error rates and much lower duplication rates for some sequencing applications. In addition, studies have shown the lower index hopping rate in DNBSEQ™ platforms.
The major applications of single cell sequencing include:
Immune cell research
Tumor microenvironment research
Neuron system development research
Embryonic development and stem cell differentiation research
Project Workflow
- SINGLE CELL PREPARATIONSample QC
- LIBRARY PREPARATIONLibrary QC
- LIBRARY CIRCULARISATIONSequencing QC
- SEQUENCINGData QC
- BIOINFORMATICS
How to order
Sequencing Service Specification
Sequencing
- Guaranteed ≥85% of bases with a quality score of ≥Q30
- DNBSEQ™ PE100 or PE150 options
- Raw data and bioinformatics analysis are available in standard file formats
Turnaround Time
- Typical 40 working days from sample QC acceptance to data delivery
- Expedited services are available, contact your local BGI Genomics 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 Enrichment
- 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
- Multi-Dimensional Analysis of Differential Gene Between Cell Types/Samples
Further customization of bioinformatics analysis to suit your unique project is available: Please contact your BGI Genomics technical representative.