InquiryThe traditional RNA-Seq strategy analyzes RNA of the whole cell population to obtain an average for the overall assay, which does not represent the transcriptome of a single cell. Meanwhile, single-cell RNA-sequencing is a new technology for sequencing the transcriptome at the single cell level, enabling the study of gene expression, analyzing cellular heterogeneity, as well as elucidating the behavior and mechanism of a single cell and its relationship with the organism.
Workflow of Single-cell RNA-Seq
CD Genomics provides single-cell transcriptome sequencing services based on the 10x Genomics and Smart-Seq2 technology platforms, covering material selection, library construction, and sequencing to data analysis. Meanwhile, every step has been carefully designed and scientifically optimized to ensure high-quality research results.
10X Genomics Single-cell Transcriptome Sequencing Service
10x Genomics Chromium Sequencing is so far an advanced solution for single-cell sequencing. It provides a solution that enables large-scale characterization of cellular features and gene expression at the single cell level. The 10x Genomics Chromium Single-cell Sequencing system can capture tens of thousands of cells into independent, traceable single-cell libraries, while each library contains an identifiable barcode for downstream analysis. Cell sample capture is independent of sample sizes and conditions (fresh, frozen, or methanol-fixed samples can be used in studies) because the 10x Genomics Single-cell Sequencing technology can process large numbers of single cells quickly and accurately. Hence, it has become an emerging solution for applications such as cancer, neurology, and immunology.
CD Genomics offers a one-stop solution for single-cell sequencing using the 10x Genomics Chromium System in combination with the Illumina platform. Customers will only need to provide a single-cell suspension of interest, and CD Genomics will deliver its high-quality single-cell sequencing services covering flow cell sorting, library construction, sequencing, and data analysis.
Bioinformatics Analysis
Our single-cell transcriptome sequencing service includes not only the analysis of gene structure and gene expression levels but also the classification of cell subtypes as well as the annotation of oncogenes and transcription factors. In addition, CD Genomics provides personalized analytical services to tailor all specific analytical objectives according to customer needs.
| Gene Structure Analysis | Gene Expression Analysis |
|---|---|
| Data quality control Reference genome alignment New transcript prediction Gene structure optimization Alternative splicing analysis SNP/InDel variant detection analysis |
Data quality assessment Gene expression analysis Differential gene expression analysis Differential gene GO/KEGG enrichment analysis Differential gene-protein interaction network analysis Overall quality assessment of RNA-seq Visual result display |
Service Advantages
(1) Ultra-high throughput
6,000 to 10,000 single-cell transcriptomes can be analyzed simultaneously within one sample
(2) High cell-capture efficiency
Up to 65% cell capture efficiency to accurately identify rare cell types as well as facilitate the study of rare or small volume cell samples
(3) High cell adaptability
No restriction on cell sizes and types (cells over 40 µm in diameter need to be prepared as nuclei)
(4) Shorten experimental cycle
(5) Extremely low inaccuracy
0.9%/1,000 cells probability of capturing multiple cells in a single droplet
(6) Non-full-length information
Only the 3' end of the transcript can be identified
Sample Requirements
Type: fresh tissue, primary cells, cell lines, etc.
Source: blood extraction, magnetic bead enrichment, flow enrichment, tissue dissociation, etc.
| Sample Type | Sample Quality Control Requirements |
|---|---|
| Cell Suspension | >105 target cells (min. 10,000 cells) |
| Viability >80% | |
| Concentration: 500-1000 cells/µL | |
| No intercellular adhesions | |
| No cellular debris or other particles larger than 40 μm | |
| Absence of reverse transcription inhibitors and non-cellular nucleic acid molecules | |
| Blood | EDTA-anticoagulated whole blood (not heparin-anticoagulated), >5 mL |
| Tissue | 0.3 cm x 0.3 cm (no more than 0.5 cm x 0.5 cm) fresh tissue, 4-5 pieces |
