Rutger Schutten

The paper uses single-cell spatial proteomics to show that metabolic enzyme expression and localization vary between cells, revealing autonomous metabolic heterogeneity.

The paper uses multimodal single-cell profiling to show how puberty and chemotherapy affect pediatric ovarian tissue, identifying vulnerabilities and a potential biomarker.

This paper maps the expression of whirlin across human tissues and cell types using multi-omics data, revealing its broad distribution and cell-type-specific patterns.

This study creates a single-nuclei transcriptomic atlas of skeletal muscle in women with PCOS, identifying cell-type-specific dysregulation and therapeutic targets.

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 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.