Per Oksvold

This paper develops a framework integrating scRNA-seq with mIHC to create a high-resolution proteomic atlas of human spermatogenesis, revealing discrepancies between mRNA and protein expression.

The paper generates a tissue-specific cell type enrichment atlas using bulk RNAseq data from 15 human organs, identifying lowly expressed genes and shared gene signatures across cell types.

The paper annotates all human protein-coding genes with their function and spatial distribution across cell types using single-cell transcriptomics data and introduces a new classification tool.

The paper investigates the prognostic significance of PKM transcripts in 25 cancers and identifies a prognostic signature in KIRC, revealing functional roles of alternatively spliced PKM transcripts.

The paper assesses the value and sustainability of ELIXIR Core Data Resources, showing their critical role in preserving biological data and highlighting funding challenges.