Florian Wünnemann

This study uses single-cell RNA-seq to analyze transcriptional changes in mouse hearts during perinatal development, identifying gene regulatory patterns and a cell type-independent imprinted gene signature.

micronuclAI automates micronuclei quantification to assess chromosomal instability, achieving near-human performance on cancer cell line images.

This study maps acute murine myocardial infarction with subcellular resolution, identifying a novel endocardial route of immune cell infiltration and vWF as a key mediator.

This study shows that reducing Hdac2 in PV+ cells enhances fear memory extinction in adults by downregulating Acan, a perineuronal net component.

The paper assesses the impact of CRISPR perturbations on vascular endothelial cell functions at CAD loci, identifying variants that significantly affect endothelial phenotypes.

This study maps cell types and their spatial distribution in multiple sclerosis lesions to understand disease progression and identify potential therapeutic targets.

Galaxy-ME is a web-based software hub for analyzing and visualizing multiplex tissue imaging datasets, demonstrating its utility on normal and cancerous tissue data.

This study generates a high-resolution spatial multi-omic map of human myocardial infarction by integrating single-cell gene expression, chromatin accessibility, and spatial transcriptomic data to reveal cellular zones of injury, repair, and remodeling.

The paper identifies 21 candidate haploinsufficient genes associated with congenital heart disease through integrative analysis of CNVs and DNMs in CHD cases and controls.

This study validates two genome-wide polygenic risk scores for coronary artery disease in French Canadians, showing good performance for prevalent CAD but limited utility for incident and recurrent CAD.