Single-cell sequencing is one of the popular technologies in biology in recent years. With its extremely high resolution, it can accurately analyze the cell composition of the sample, thus revealing the gene structure and gene expression status of individual cells, and reflecting the heterogeneity between cells. In addition, existing single-cell platforms can isolate thousands of single cells at a time, facilitating the discovery of new cell types. With the continuous updating and development of single-cell sequencing technology, it will play an increasingly important role in resolving cell heterogeneity, revealing the relationship between cell populations in the microenvironment, and tracking the development of diseases. In the future, it can provide technical support for personalized prevention and treatment.
The difference between single-cell sequencing and traditional sequencing (10x genomics)
Principle of 10X Single Cell Genomics Single-cell Technology
The 10x Genomics platform is based on microfluidic technology for sorting individual cells. Partitioning events occur on a microfluidic chip in the presence of barcoded gel beads and oil to create GEMs (Gel Bead in EMulsion). As many as 10,000 cells per sample are encapsulated in nano-liter scale GEMs. Final amplification and library construction is performed in bulk after GEMs are broken. This way all fragments from the same cell or nucleus share a 10x barcode. Thousands of cells with barcode products are mixed for downstream reactions, resulting in libraries compatible with short-read long sequencers. After sequencing, bioinformatic analysis tools will use the identifiable barcode sequence to localize the sequenced fragment to the original single cell or nucleus.
Principle and workflow of 10x Genomics single-cell technology based on Next GEM technology
10x Genomics Single Cell Immune Repertoire Sequencing
10x Genomics single-cell transcriptome and immune repertoire sequencing enables high-throughput detection of RNA expression and full-length TCR/BCR diversity information in single cells. We can not only discover the heterogeneity of cells in tissues through single-cell transcriptome information, but also understand the composition of the immune system of organisms in different states by detecting the clonotypes of TCR and BCR. This technology assists in the study of autoimmune diseases, inflammation, infectious diseases, and tumor immunity, and accelerates the understanding of the organism's immune system.
Workflow of Integrated Analysis of 10X Single Cell Transcriptome and Immune Repertoire Sequencing
Advantages of Our Services
Ultra-high throughput
500 - 10,000 cells per sample in standard mode; 1,000 - 20,000 cells per sample in high-throughput mode.
High capture rate
High capture efficiency of up to 65% per sample, efficiently capturing gene expression information in each cell.
Cost-effective
Compared with methods such as low-throughput or traditional manual operations, the cost is reduced by dozens of times;
Wide range of applications
It has no restrictions on cell types and has been widely used in the identification of cell cycle, tumor cell heterogeneity, identification of rare cell types, immune cell analysis, disease typing and other fields;
Rich experience
We have accumulated experience in 10x Genomics single-cell sequencing of more than 100 different tissue types and thousands of samples.
Sample Requirements
Sample Type | Quality requirements | Shipping |
---|---|---|
Fresh cell suspensions | 300-600 cell/μl | Shipping Fresh samples on wet ice |
Fresh Tissue | Volume >100μl | Shipping frozen samples on dry ice |
Fresh blood | Cell activity > 90% | |
Cultured cells | Cell diameter < 40μm | |
Frozen cells, etc. |
Applications
Inflammatory response
Infectious Diseases
Autoimmune Diseases
Tumor Immunity
Biomarkers
Immune System Development and Differentiation
Vaccines and Antibodies
Transplantation and Immune Remodeling
Reference
- Liu, Y., He, S., Wang, XL. et al. Tumour heterogeneity and intercellular networks of nasopharyngeal carcinoma at single cell resolution. Nat Commun 12, 741 (2021). https://doi.org/10.1038/s41467-021-21043-4