Auperon works from your RNA-seq data. The essentials fit on one page. The full sample prep, vendor coordination, and shipping protocol is downloadable as a PDF or Word doc you can hand your bench team.
For microbial systems
Different defaults apply.
30M PE reads · rRNA depletion · RNAlater workflow · no LN2 required. See the
microbial protocol.
Auperon works from RNA-seq data — we don't run sequencing, coordinate vendors, or handle sample logistics. You send us data in one of three ways.
Best if: you already have RNA-seq data from a prior study, ongoing program, or vendor delivery.
Best if: you don't yet have sequencing and need to generate it for this project.
Best if: you want to explore a hypothesis using published or repository data.
If your engagement needs sequencing coordination, vendor management, sample prep guidance, custom multi-omics beyond RNA-seq, or downstream commercial work, that's Van Heron Labs full-service — the enterprise pathway that handles the pipeline end-to-end.
Wide flexibility on inputs. If your setup falls outside the defaults, tell us at scoping and we adjust.
Default: ship cells (frozen pellets for mammalian, RNAlater-preserved for microbial); the sequencing vendor handles RNA extraction. This reduces batch effects, standardizes with library prep, and saves on extraction kits. Exceptions:
Hand it to your bench team. We publish two versions — pick the one that matches your system.
CHO, HEK293, T cells, iPSCs, MSCs, and other mammalian cell lines. Frozen cell pellet workflow (LN2-based). 14 pages.
Bacteria (gram-positive and gram-negative) and eukaryotic microbes (yeast, fungi). RNAlater-based workflow — no LN2 required. 15 pages.
Every dataset gets internal QC before we begin full analysis — read quality, alignment rate, depth against the tier target, library complexity, and comparability across the experimental design.
If sequencing fails our QC — meaning it's uninterpretable at the level required to produce mechanism-backed output — we refund the engagement in full and provide our recommendations on experimental design for a future run. See the full refund policy →
If you have RNA-seq data or samples ready to prep, start the engagement. If you have specific technical questions before you commit, email us — we reply within one business day.