Daniel Kirrmaier

This paper introduces a chromosomally integrated yeast surface display system for scalable, quantitative antibody profiling and serological assays.

CODIAC profiles spatial protein localization and abundance changes using image-enabled sorting and machine learning, detecting perturbation effects on the spatial proteome.

The paper improves CRISPR-Cas12a-assisted gene tagging in mammalian cells by enhancing HDR efficiency and reducing off-target integrations through modified cassettes and repair pathway modulation.

This study identifies ORF2 as a key HEV protein that suppresses antiviral responses in hepatocytes, enabling viral persistence.

The paper introduces CASTLING, a method for efficiently creating pooled yeast gene tagging libraries using CRISPR/Cas12a and recombineering, achieving high tagging success rates.

The paper uses a fluorescent timer to analyze Bicoid gradient dynamics in Drosophila embryos, revealing parameters consistent with the synthesis-diffusion-degradation model.

The paper describes a C-SWAT library for high-throughput tagging of yeast ORFs and validates it by tagging the yeast proteome with fluorescent proteins.