This is why you should use gene-expression analysis:
Transcriptome analysis is the most popular method since it provides a total overview of the gene-expression levels in your sample. All protein-coding (poly-A containing) transcripts are consistently and accurately represented. It provides an affordable approach to examine differential gene-expression analysis between groups of samples, such as various treatments, time-points, or disease versus control samples.
Our ISO-accredited service includes all novel features: Unique Molecular Identifiers (UMIs), identification of antisense transcripts, and can handle a broad range of input RNA, starting from 5 ng. It is applicable for FFPE-material or other (partly) degraded and challenging samples (see below).
For whole blood analysis, we offer globin reduction that removes the globin transcripts originating from erythrocytes from your sample prep, so you reduce the sequencing capacity that is required for your sample with ~30-40%. The removal of ribosomal RNA is not necessary, since these transcripts do not contain a poly-A tail. For custom transcript removal or targeted RNA seq approaches, contact our scientific support team.
Our experienced bioinformaticians generate quality assured data-sets or deliver publication-ready results through our validated pipelines. For more demanding projects our experts work closely with you to provide a fully custom analysis.