Single-Cell RNA-Seq Service Using 10x Genomics Chromium® X Series

Analyze Gene Expression at the Single Cell Level

Resolve the complex cellular diversity of your samples with our single-cell RNA Sequencing (scRNA-Seq) service. Exploring cellular heterogeneity reveals gene expression patterns and identifies distinct cell types and interactions.

For use in biomarker discovery, the gene expression profiles of individual cells can highlight genes or markers associated with cell types in specific disease states. Partner with our scientific team to understand the complexity within your samples and gain impactful results.

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Expertise and Experience

Our breadth of technology platforms demonstrates our scientific capabilities – in handling your precious samples, offering experimental design feedback, executing your project, and providing quality data.

Easy Access to Complex Data

Gain powerful insights into cellular heterogeneity and function by pairing single-cell sequencing with simple and accessible bioinformatic analysis from our partner, ROSALIND.

Unraveling Cellular Diversity

10x Chromium X scRNA-seq offers powerful insights into the complexity of cellular diversity. Our workflow results in fast project turnaround so you can unravel these insights.

Comprehensive Portfolio

With access to the newest technologies and the expertise to support your unique project needs, we provide a convenient end-to-end solution for single-cell RNA sequencing.

Bringing Single-Cell Solutions Together

Complement your scRNA-Seq transcriptomic data with our CellScape™ Precise Spatial Proteomics service or our standard immunofluorescence service to verify changes in target protein expression.

How Our Service Works

Our scRNA-seq workflow uses the 10x Chromium X instrument to isolate single cells from cell pellets or tissue samples. Our internal processes efficiently assess input sample quality and any dead cell removal required. From there, it's three simple steps from processing to delivery of your data.

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Sample Processing

The Chromium X scRNA-seq platform isolates cells and provides single-cell gene expression information to profile up to tens of thousands of cells.

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Sequencing

High-throughput sequencing is done using Illumina NextSeq® technology. The output can be adjusted based on your project need.

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Data Analysis

Comprehensive and interactive data output using the ROSALIND web-based platform.

How We Approach The scRNA-Seq Workflow

Chromium system workflow for single-cell RNA-seq. Image provided by 10x Genomics.
Chromium system workflow for single-cell RNA-seq. Image provided by 10x Genomics.

Single Cell Sample Input

Sample viability is a critical component of the input for any scRNA Seq assay. Key sample types include cryopreserved PBMCs, single cell suspensions, and fresh frozen and FFPE tissueWe assess cell viability post thaw and samples with less than 80% viability will undergo dead cell removalIf submitting tissue, we will do a QC check to ensure successful nuclei retrieval. 

Profiling Assay for Gene Expression

We offer several 10x workflows; select the appropriate one for your study goals.

Data Interpretation

Access to ROSALIND is provided for data transfer and visualization. This easy-to-use, cloud-based platform allows for interactive analysis of single cell clusters. We can support your analysis with a platform tutorial.

New Insights With Single-cell Transcriptomics

Single-cell RNA-seq allows for gene expression profiling of thousands of individual cells. The advantage of this technique is that researchers can more precisely understand and explore cellular diversity in complex systems by interrogating gene expression of individual cells. This high-resolution technique can uncover subtle differences between cells, often masked in bulk RNA sequencing, offering a better understanding of cellular diversity, disease states and developmental biology.

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Key Applications for Single-Cell RNA-Seq

Oncology
Immuno-Oncology
Identify Cell Types
Investigate tumor heterogeneity Find new targets and unique cell-surface markers Single-cell transcriptome data
Assess the tumor microenvironment Assess immune cell activation Identify cell types present in a sample
Identify rare cell types, treatment-resistant cells TCR and BCR profiling Identify rare cell types

Visualize and Interpret Gene Expression

Analyze your single-cell sequencing results with a fully automated process using the ROSALIND cloud-based tool. Intuitive workflows and visualization tools are available for single-cell transcriptome data analysis. Highlights of using ROSALIND include:

  • Cluster Comparisons
  • Data Visualization
  • Pathway Interpretation
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Featured Resources

App Note/Tech Note

Using the ROSALIND Platform to Accelerate Single-Cell Data Analysis

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Brochure

Canopy Multiomic Services Brochure

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Frequently Asked Questions

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