Bulk RNA sequencing: several approaches to suit your samples
Do you have an RNAseq project? We offer several strategies depending on the quality and quantity of your RNA. Here is an overview of the different options:
‘Standard’ RNAseq
Who is it for?
You have good quality RNA (RIN > 7) in sufficient quantity (> 50 ng)
What we offer:
- Capture of polyA RNAs to target messenger RNAs
- Ribosomal depletion to analyse the entire transcriptome, including non-coding RNAs
The most common solutions for transcriptomic studies.
Low input RNAseq
Who is it for?
You have a small amount of RNA (< 50 ng) but still want to use your sample.
What we offer:
Protocols optimised for small volumes and rare samples.
3' RNAseq: the solution for degraded RNA
Who is it for?
Your samples are of poor quality (RIN < 5) or come from FFPE sections.
What we offer:
3' RNAseq, a robust approach for degraded RNA, with an expression profile similar to DNA chips. It is also the most economical solution (low number of reads per sample).
What if you are interested in small RNAs?
We also offer library preparation for the study of small RNAs (miRNA, etc.).
| Sample type | Proposed strategy | Pros |
| Good quality / quantity (RIN > 7 / > 50 ng) | PolyA or ribosomal depletion | Complete transcriptome |
| Low quantity ( < 50 ng) | Low input RNAseq | For rare samples |
| Degraded RNA (RIN < 5 / FFPE) | 3' RNAseq | Robust results even with altered RNA |
| small RNA | small RNAseq | miRNA specific |
RNA-Seq analysis: a tool for exploiting your data
You can explore and generate figures from your data analysed by GENOM'IC using the RADISH tool (a RNA-Seq Dashboard In SHiny).
Feel free to try it out and contact us for more information.
Here is the Github address to discover the application and get installation information:
https://github.com/GENOM-IC-Cochin/Radish
The application can be used internally at this address: http://sequencage:3200; or externally at this address http://localhost/, after installing Docker and launching the RADISH image.