Breast Cancer Single-Cell Sequencing Analysis
Single-cell sequencing is a groundbreaking method for analyzing individual tumor cells, offering deep insights into cellular heterogeneity and the dynamics of cancer progression. In breast cancer, it helps identify distinct cell populations and their roles in tumor development and treatment response. Alfa Cytology provides a complete range of single-cell sequencing analysis services tailored for breast cancer research, covering data generation, analysis, and interpretation.
Introduction of Single-Cell Sequencing
The success of precision cancer therapies relies on elucidating key molecular mechanisms driving tumor growth and metastasis. Single-cell sequencing (SCS) is a technology that performs high-throughput sequencing and analysis of genetic information such as genome, transcriptome, and epigenome at the single cell level. It can solve the problem of cellular heterogeneity that cannot be solved with tissue sample sequencing. Single-cell sequencing can explore the tumor microenvironment with high resolution and capture different body tissues and different types of cells at different development times. In recent years, single-cell sequencing technology has analyzed breast cancer (BC) transcriptome profiles from the single-cell level to explore BC microenvironmental heterogeneity, drug resistance mechanisms, clonal heterogeneity and clonal evolution, comprehensive mining of single-cell public data resources to reveal BC heterogeneity.
Fig.1 Workflow of a typical single‐cell RNA‐sequencing experiment and traditional bulk RNA analyses. (Ding S, et al., 2020)
Our Services
Alfa Cytology can provide you with BC single-cell sequencing solutions and services to help you further understand the heterogeneity of cells in breast tumors. We have a high-end and complete sequencing analysis platform that can perform single-cell RNA sequencing, single-cell DNA sequencing, single-cell transcriptome sequencing, single-cell proteomics sequencing, etc. Single-cell sequencing technology has great potential to elucidate the complex mechanisms of tumor development and metastasis, and can provide new ideas for establishing precision treatment strategies for breast tumors.
| Services | Description |
|---|---|
| Single-cell genome sequencing | Used to reveal cell population differences and cell evolutionary relationships. |
| Single-cell transcriptome sequencing | Used to study gene expression in single cells and also solves the problem of cell heterogeneity in tissue sample sequencing. |
| Single-cell proteomics sequencing | Used to the study of breast tumor heterogeneity and rare tumor cells. |
| Single-cell epigenome sequencing | Used to understand the status of target genes, it can initially elucidate the epigenetic mechanisms that determine cellular transcriptional heterogeneity in breast tumors. |
Applications
- Single-cell gene expression: Analyze cellular heterogeneity, novel targets, and biomarkers in every cell in a heterogeneous cell population.
- Single-cell immunoassay: Analysis of full-length, paired B-cell or T-cell receptors, antigen specificity, and gene expression, all from a single cell.
- Single-cell ATAC: Analyzing chromatin accessibility at the single-cell level, providing insights into cell types and states, and deeper understanding of gene regulatory mechanisms.
Alfa Cytology is a world-leading preclinical CRO company dedicated to assisting scientists around the world conducting BC research. We can provide you with BC single-cell sequencing analysis solutions and services to help you understand the heterogeneity of breast tumor cells and facilitate precise treatment of BC. If you have any questions about BC research, please contact us and our experts will get back to you as soon as possible.
Reference
- Ding S, et al. Single-cell RNA sequencing in breast cancer: Understanding tumor heterogeneity and paving roads to individualized therapy. Cancer Commun (Lond). 2020 Aug;40(8):329-344.