Highlights

• Enables the identification of transcripts at the resolution of individual cells.
• Identify specific cell types or subpopulations within the sample
• Integrate transcriptional data from multiple experiments
• Integrate epigenomic and transcriptional data from the same cell
• Allow flexible solutions for different set-ups for both small- and large-scale projects

When to Use Single Cell RNA Sequencing?

To gain a deeper understanding of the complexity and heterogeneity of biological systems, it is crucial to analyze transcriptomic changes at the single-cell level. Single cell RNA sequencing provides the resolution needed to uncover variations in gene expression that are often masked in bulk analyses. This technique is especially useful in the following scenarios:

Sample Type: TUMOR BIOPSIES AND IMMUNE CELLS

• Identification of Rare Cell Populations: Single cell RNA sequencing excels in identifying rare cell types or subpopulations within a sample, such as cancer stem cells or specific immune cell subsets involved in tumor microenvironments.
• Tumor Heterogeneity: By dissecting the transcriptomic profile of individual cells, single cell RNA-seq can reveal the extent of tumor heterogeneity, providing insights into cancer progression and resistance mechanisms.

Sample Type: STEM CELLS AND DEVELOPMENTAL BIOLOGY

• Lineage Tracing: Single cell RNA-seq allows for the tracking of cell lineage and differentiation pathways in stem cells, providing insights into developmental processes and the identification of progenitor cell types.
• Cell Fate Decisions: Single cell RNA sequencing can reveal the transcriptional programs that guide cell fate decisions during development or in response to external stimuli.

Sample Type: NEUROSCIENCE

• Mapping Brain Cell Types: Single cell RNA-seq is invaluable in mapping the diverse cell types in the brain, uncovering the molecular identity of neurons, glia, and other cell types in various regions.
• Understanding Neurodegenerative Diseases: By analyzing the transcriptomic profiles of individual brain cells, researchers can identify disease-associated cell states and potential therapeutic targets in neurodegenerative disorders.

Available single cell techniques

Single Cell Transcriptome Profiling: A 3' gene expression analysis with multiomic capabilities to profile tens of thousands of cells and explore, for instance the cellular heterogeneity, cell fates, biomarkers etc.

Single Cell Immune Profiling: A multiomic solution to analyze full-length, paired B-cell or T-cell receptors, surface protein expression, and antigen specificity, in combination with gene expression analysis, all from a single cell.

Single Cell ATAC sequencing: A multiomic solution to uncover gene regulatory mechanisms by simultaneous analysis of the gene expression profile and the chromatin accessibility in the same cell.

Targeted Gene expression analysis: Profiling of a defined set of transcripts from single cells to reduce costs while increasing the number of samples, or increasing the sequencing depth with customizable, comprehensive gene panels.

Research Areas

Our single cell technologies can be applied to many different areas within research, and we are always open to discuss how they could be relevant for your project. We are currently applying single cell technologies to the following research areas:

• iPSC maturation
• Developmental biology
• Neuroscience
• Microbiology

TECHNIQUE

Technical Application

Workflow single cell RNA Sequencing

• Consultation: Our service starts with an introductory meeting, where the customer's requests and concerns are discussed. Here, the experimental setup is established.
• Before receiving samples: We offer general recommendations for sample preparation but are open to customized setups.
• Processing of your samples: Our experienced scientists process your samples in the lab using validated protocols. We center the flow upon rigorous quality control both before and after sequencing.
• Data analysis: We offer a complete bioinformatics solution concerning the analysis of your data. You can read more about our bioinformatics service here:

The Sample

Harvesting Protocol

To help ensure more accurate results before sending samples to Amplexa Genetics, you should meet certain quality measures.

How to do it?