FFPE and low quality samples

Typically RNA isolated from formalin-fixed, or paraffin-embedded (FFPE) tissues is partially degraded and has a low overall quality. For these samples and other low-quality samples, the Illumina TruSeq RNA Access library prep kit provides a low-cost solution for analyzing (human) RNA. Starting from as little as 10 ng total RNA from intact samples or 20 ng total RNA from degraded samples, it is possible to achieve accurate, sensitive RNA-Seq results. Combining proven RNA library prep chemistry with efficient sequence-specific capture, the TruSeq RNA Access Kit generates RNA-Seq libraries from degraded samples that focus on the RNA coding regions.


Advantages of the TruSeq RNA Access Library Prep

  • Affordable by focusing on the (human) transcriptome coding regions
  • High-quality data can be obtained from difficult / degraded samples
  • Sequencing is possible for low input amounts of RNA (10 to 20 ng)


Workflow of the TruSeq RNA Access Library Prep

We initiate the process by performing an initial quality check of the total RNA provided by you. During this quality check the concentration and integrity of the RNA is determined. We only continue with samples that passed this initial quality check. If for some reason certain samples did not pass this initial check, we will contact you to discuss on how to proceed. 

In the next steps, the RNA is captured and transcribed to cDNA using the Illumina TruSeq RNA Access library prep kit. From the cDNA sequencing libraries are constructed, which are again quality checked. Finally, the libraries are sequenced on one of our Illumina sequencers. The technical quality of the sequencing run is monitored in real time. 

Sequencing data can be transferred to you via the Illumina BaseSpace platform or our own server (FTP download). 


Feel free to contact us with any questions.

Contact Us

NXTGNT, UGent sequencing reference center

 Ghent University, Faculty of Pharmaceutical Sciences

  Ottergemsesteenweg 460, 9000 Gent, Belgium


  +32 9 264 80 59