Kalle von Feilitzen

The paper constructs a cell type-resolved proteomic atlas of the human body using Deep Visual Proteomics, revealing protein abundance patterns and uncovering cancer-testis antigens in oocytes.

The paper uses spatial proteomics to analyze primary cilia proteomes across cell lines, revealing cell-type specificity and single-cilia heterogeneity, and identifies novel cilia proteins and potential genetic variants.

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.

This study constructs a human stomach cell type transcriptome atlas using RNA-seq data from 359 individuals, identifying over 1600 cell type-enriched genes and male-specific chief cell genes linked to gastric cancer.

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

The paper maps and characterizes the human secretome by annotating 2,623 predicted secreted proteins and their spatial distribution, using a high-throughput cell factory for recombinant protein production and analysis.