Sophia Clara Mädler

The paper develops an in vitro model of human subcutaneous adipocyte spheroids to study mitochondrial dysfunction and test mitochondria-activating compounds in obesity.

scPortrait integrates single-cell images with proteomics and transcriptomics data to identify cancer-associated macrophage subpopulations and embed images into transcriptome atlases.

This study uses spatial proteomics and machine learning to analyze AATD in human liver tissue, revealing peroxisomal upregulation and a terminal hepatocyte state with distinct proteomic signatures.

The paper introduces scDVP, a spatial single-cell proteomics method, and finds that half of the murine hepatocyte proteome varies spatially within liver tissue.

SPARCS enables genome-wide CRISPR screening for spatial cellular phenotypes by combining laser microdissection with deep learning, identifying key genes involved in autophagosome formation.

Besca is a toolkit that streamlines scRNA-seq analysis with quality control, clustering, cell annotation, and bulk transcriptomics integration across datasets.