Step-by-step architecture for Nilus Lab's computational cardiac target discovery and audit pipeline. All targets are at the computational identification stage; none has been tested in the lab.
Computes donor-level sex-adjusted pseudobulk OLS age slopes across Cardiac Fibroblast, Endothelial, Macrophage, and Pericyte lineages across 3 single-cell .h5ad cohorts (PERIHEART and CAREBANK, both right atrium, and Kanemaru 2023). Applies a raw-count lineage specificity gate to limit cardiomyocyte ambient RNA contamination:
Intersects Malecki et al. 2025 human left-ventricle proteomics (12 donors aged 14–25 vs 13 aged 51–65; 3,431 proteins tested), GTEx human heart TMT proteomics (left ventricle $n=7$, atrial appendage $n=11$), and Takasugi et al. 2024 mouse heart ageing proteomics (30 vs 6 months) with human RNA age slopes:
Tests 5,677 cardiomyocyte genes in single-nucleus Reichart 2022 ventricular cardiomyocytes (52 DCM vs 18 healthy donors) and bulk MAGNet LV (DCM vs non-failing, $n=326$) to isolate 451 FDR-concordant DCM genes ($q < 0.05$ in both, same direction), then compares them with ageing and human LV proteomics:
Queries Open Targets v4 genetics and GWAS colocalisation tables ($H_4 \ge 0.80$) for human genetic support and tractability. The QTL tissue must be checked: SYPL2's colocalisation ($H_4 = 0.973$) is a liver eQTL at a locus shared with 44 genes, so it is not counted as heart evidence.
Every number in our target tables traces to a named public dataset and an analysis script. The scripts and the full audit trail are available to partners on request.