Single cell sequencing is used for solving problems associated with the study of heterogeneous samples, rare cell types, cell lineage relationships, and disease evolution. By using deep sequencing of DNA and RNA from single cell, cellular functions of individual cells can be investigated. BGI applies the superior method of Multiple Displacement Amplification (MDA) for single cell genomic DNA amplification (WGS/WES), and Switching Mechanism at 5′ End of RNA Template (SMART-seq2) for single cell RNA amplification (transcriptome/RNA quantification).
BGI’s Single Cell Sequencing service is typically executed with our proprietary DNBseq™ NGS technology platform, for great sequencing data at the lowest cost in the industry.
DNBseq™ is BGI’s proprietary sequencing technology, developed by our Complete Genomics subsidiary in Silicon Valley. This system is powered by combinatorial Probe-Anchor Synthesis (cPAS), linear isothermal Rolling-Circle Replication and DNA Nanoballs (DNBTM) technology, followed by high-resolution digital imaging.
The major applications of single cell sequencing include:
We care for your samples from the start through to the result reporting. Highly experienced laboratory professionals follow strict quality procedures to ensure the integrity of your results.
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BGI's Single Cell Sequencing services are performed on our DNBseq technology platform:
Single Cell
1-2 cells in 4μl PBS buffer
1-2 cells in 4μl lysis buffer
A Few Cells
2-1000 cells in 4μl PBS buffer
2-1000 cells in 4μl lysis buffer
Amplified single cell gDNA/cDNA
Concentration >20ng/ μl, Quantity >3μg
Concentration >0.2ng/μl, Quantity >1ng
Total RNA for low input library construction
N/A
Concentration >50pg/μl, Quantity >2ng;
RNA 28S/18S ≥1，RIN ≥7
In addition to raw data output, BGI offers a range of standard and customized bioinformatics pipelines for your single cell sequencing project.
Data filtering (removing adaptors, contamination, and low-quality reads from raw reads)
Alignment and summary of data production
SNP calling, annotation, and statistics
InDel calling, annotation, and statistics
CNV calling, annotation, and statistics (only for whole genome resequencing)
SV calling, annotation, and statistics (only for whole genome resequencing)
Data filtering includes removing adaptors contamination – low quality reads from raw reads.
Assessment of sequencing
Gene expression and annotation (Gene coverage and coverage depth)
Differential expressed genes analysis
Expression pattern analysis of DEGs
Gene ontology analysis of DEGs
Pathway enrichment analysis of DEGs
Refinement of gene structures
Identification of alternative spliced transcripts
Further customization of bioinformatics analysis to suit your unique project is available: Please contact your BGI technical representative
