Single-Cell Transcriptome Sequencing
Traditional transcriptome sequencing examines the average gene expression of a large number of cell populations, which may mask critical differences between individual cells within these populations. While single-cell transcriptome sequencing can be used to sequence and analyze the gene expression level of individual cells in mixed cell populations, thus better explaining the gene expression heterogeneity in cell populations, reconstructing cellular developmental trajectories, and modeling transcriptional dynamics. Single-cell transcriptome sequencing provides a comprehensive and powerful platform for tumor research including tumor diagnosis and precision therapy.
Equipped with state-of-the-art single cell sequencing technologies and a professional expert team, Creative Biolabs is committed to offer high-quality and low-cost single cell sequencing and analysis services to support your tumor research.
Single-cell Transcriptome Sequencing for Cancer Research
Tumorigenesis is highly associated with the physiological state of the tumor microenvironment. The tumor microenvironment includes the surrounding blood vessels, immune cells, fibroblasts, signaling molecules, and the extracellular matrix, which affect the growth and evolution of cancerous cells. It is of great significance to characterize the cellular composition of the tumor microenvironment for understanding the tumor pathogenesis and discovering the novel therapy for tumors. Single-cell transcriptome sequencing provides a wonderful tool for identifying cell types of the tumor microenvironment by analyzing the gene expression of individual cells. In a pancreatic cancer study, researchers leveraged a chromium single cell transcriptome sequencing technology to analyze the transcriptomes of individual cells from dissociated primary tumors or metastatic biopsies from the patients with pancreatic ductal adenocarcinoma (PDAC). This study identified different cell types within the tumor tissues including tumor cells, endothelial cells, cancer-associated fibroblasts, and immune cells as well as the expression levels of various genes in individual cells. These results help to discover novel biomarkers for disease diagnosis and developing novel targeted therapies and immunotherapies for PDAC.
Fig.1 Multiple cell types were identified in PDAC primary tumors and metastatic lesions by single-cell RNA sequencing. (Lin, 2010)
Workflow
Fig.2 Workflow Diagram.
Bioinformatics
| General Analysis | Senior Analysis |
|---|---|
|
1) QC for raw data 2) Sequence alignment and RNA annotation 3) Identification of cell type 4) Analysis for gene expression levels of individual cell 5) Analysis for differential expressed gene between subsets of cells 6) GO annotation and KEGG pathway analysis for differential expressed gene |
1) RNA velocity analysis 2) Pesudotime analysis 3) Customized analysis scheme |
Our Advantages
- World-leading single cell sequencing technologies such as 10X Genomics and BD Rhapsody
- An experienced expert team providing one-stop services from preparation of cell suspension to high-quality data delivery
- Well-established library preparation technologies (Completing the library construction of 1000-10000 cells at a time)
- Personalized and customized data analysis services
Sample Requirement
- Sample type: cell suspension, tissue and blood
- Concentration: >1×105/mL
- Volume: more than 200 μL
- Cell vitality: >80%
- Cell size: <40 μm
Note! Cell cultures and buffers should not contain these substances such as Ca2+ and Mg2+.
If you are interested in our single cell RNA sequencing services, please feel free to contact us for more details.
Reference
- Lin, W.; et al. Single-cell transcriptome analysis of tumor and stromal compartments of pancreatic ductal adenocarcinoma primary tumors and metastatic lesions. Genome Medicine. 2020, 12:80
