Single-cell Sequencing: Gaining Insights into Cellular Heterogeneity
Single-cell sequencing technology has revolutionized our understanding of cellular heterogeneity in tissues and has enabled the identification of previously unknown cell types. This technique can be used to define new marker genes associated with specific cell types and identify subpopulations within known cell types based on gene expression profiles. Additional applications include studying cell lineage, understanding the regulation of differentiation, reconstructing cellular hierarchies, and inferring regulatory networks.
For further reading about single-cell sequencing technology and its analytical approaches, see the excerpt below from a recent publication:
An Overview of Single-cell Sequencing Analysis Pipelines
(Hwang, B., Lee, J.H., Bang, D., 2018. Single-cell RNA sequencing technologies and bioinformatics pipelines. Exp. Mol. Med. 50, 96)
Our Expertise in Single-cell Sequencing
The Sequencing Core and Bioinformatics Lab now offer single-cell sequencing using the Chromium 10X platform. For library preparation inquiries, please contact Vanessa Schmid.
At the Bioinformatics Lab, we provide data analysis tailored to the specific single-cell technology platform used. Since every single-cell experiment is unique, we highly recommend contacting us to discuss your experimental design. Please reach out via email for further assistance.
Why Choose Our Single-Cell Analysis Services?
Our team of experts brings extensive experience in single-cell bioinformatics, ensuring high-quality data processing, rigorous statistical analysis, and actionable insights. From experimental design to data visualization and interpretation, we provide end-to-end support tailored to your research needs.
By leveraging advanced tools and methodologies, we help you unlock the full potential of your single-cell datasets. Whether you are exploring fundamental biology, developing new therapies, or solving complex research questions, our lab is your trusted partner in single-cell analysis.
Applications of Single-Cell Analysis
Single-cell analysis has a wide range of applications across various fields, including:
- Cancer Research: Identify rare tumor subpopulations and drug resistance mechanisms.
- Neuroscience: Explore cellular diversity in the brain and mechanisms underlying neurological diseases.
- Developmental Biology: Investigate the dynamics of cell differentiation and tissue development.
- Immunology: Decipher immune cell interactions and responses to infections or therapies.
Collaborate With Us
Ready to advance your research with single-cell analysis? Contact us today to learn how our bioinformatics lab can provide cutting-edge solutions to your scientific challenges. Together, we can unravel the mysteries of cellular complexity and drive innovations in your field.