Unparalleled perspective on the biology of single cells

Single-cell Gene-expression analysis has been chosen by SCIENCE editors as “Breakthrough of the Year 2018”. Now, this technique has become available for any researcher to study the processes behind cellular development and disease.

Standard RNA-seq measures average gene-expression levels, which is inadequate for heterogenous samples. Single cell sequencing does not require sorting your cells into small populations based on known markers. It allows you to administer any cell population – as a whole or pre-sorted – and create gene-expression profiles on each cell individually. Unsupervised clustering algorithms then visualize your cells in plots, placing cells with similar expression profiles together. You can clearly discern between cell types and study the heterogeneity within those clusters. Visualizing cell-to-cell variability has never been more attainable.

Benefits of Single cell sequencing:

A group of people with the appropriate skills work with you on your project:

Single cell sequencing poses unique challenges since it requires freshly dissociated, viable cell suspensions. [show_more more=’…View more’ less=’View less’ color=#2ac4ea list=”>”]

Having in-house expertise in cell-handling as well as NGS sample preparation, is crucial. Equally important is the guidance before the start of your project. A PhD-level project manager will give expert advice and collaborates with you to optimize the workflow for your specific cell culture, tissue or organ. GenomeScan has set up a streamlined workflow and logistics strategy to optimally preserve the biological relevance. [/show_more]

GenomeScan has selected the Chromium instrument of 10X Genomics as the most reproducible and cost-effective method for data-generation.[show_more more=’…View more’ less=’View less’ color=#2ac4ea list=”>”]

Individual cells are loaded into Gel Bead-In EMulsions droplets (GEMs) to uniquely barcode 500 to 50.000 cells per sample.

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Your single cell gene-expression data is directly accessible for interpretation in an interactive visualization tool: the Chromium Loupe browser. [show_more more=’…View more’ less=’View less’ color=#2ac4ea list=”>”]

The raw RNA-seq output is processed by our high capacity servers by the Cell Ranger analysis pipeline. This generates all files for further analysis, that you can directly read from the Hard Disk that you receive. In the Loupe browser, you can further explore gene expression differences by creating groups, using t-SNE cluster plots and gene-expression tables.

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For comparative analysis such as time-series or drug treatments, additional data-analysis is required. [show_more more=’…View more’ less=’View less’ color=#2ac4ea list=”>”]

Our experienced bioinformaticians have adapted analysis methods to identify common sources of variation between datasets and to perform correction, so that statistically relevant data is reported.

You receive a detailed report of the transcriptomic changes between cell-clusters and samples, including leading to the fastest way to answering your research question. Alternatively, we can provide expert guidance for BioIT specialists that have experience in data-analysis using R-packages.

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Pricing

Competitive pricing for
unmatched quality

Video

GenomeScan uses 10x Genomics
Chromium single cell gene expression
solution.

Advantages

Optimization of the experimental design with a PhD-level project manager, including pre-sample treatment and logistics

Your samples will be sequenced on the industry leading NovaSeq 6000 to reduce time and costs

Interactive analysis report with t-SNE cluster plots and fold change tables

Expert bioinformaticians can provide full support on comparative data-analysis

The GenomeScan laboratory can provide ISO/IEC 17025, ISO 15189, and/or G(C)LP accredited services

Discuss your project with Andre

We have years of experience in the field. Talk with us about best practices and how we can help your research.