A blood gene-expression engine, and an app to use it
PenetranSci turns a small panel of immune genes, measured in whole blood, into an interpretable profile for every patient: a score, a calibrated probability and the genes behind it.
Whole-blood RNA
Gene expression from whole blood, collected in PAXgene or Tempus RNA tubes and measured by RNA sequencing, microarray or a targeted qPCR panel. Not DNA, and not proteins.
A 6-gene immune signature
Three inflammation genes (HP, MMP8, CEACAM8) and three lymphocyte genes (KLRB1, KLRG1, SH2D1A), each compared with healthy controls. One group minus the other, with no hidden model, calibrated on 779 people.
Results you can act on
A score and calibrated probability per patient, the gene contributions, the inflammatory subgroup, batch results for whole cohorts, and a written report.
PenetranSci, ready to try
Score a single sample or a whole study, read the gene reference, and download a PDF report. Patient data is processed only for the current session and is never stored on the server.
- Patient intake with automatic quality flags (infection, steroids, high CRP, RNA quality)
- Calibrated probability with a 95% interval and likelihood ratio
- Batch analysis for whole cohorts, with study-level AUC
- Gene reference: biology, clinical use and drug-development relevance
- English and German
Data protection and Research Use Only
- Research Use Only: not a medical device and not for use in diagnostic procedures
- Partner data is handled under a data-sharing agreement, in line with GDPR
- The app never stores patient data on its server
- Open methods: performance on every study is published, including what didn't work