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Single Cell Sequencing

Unparalleled perspective on the biology of single cells
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Why sequence RNA from single cells?

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.

Mirjam Rademaker Single Cell Sequencing
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Single cell sequencing 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 discern between cell types and study the heterogeneity within those clusters.

At the moment, this service is exclusively available for single-cell sequencing libraries that have already completed the library preparation process and are ready for sequencing.

If you have any questions, do not hesitate to get in contact, our team is available to support you.

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Other Services

FFPE Tissue RNA-Seq
Total transcriptome
Targeted proteomics panel
Ultra low Input RNA-Seq
Gene expression profiling
Long read sequencing

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