Niklas Arndt Schmacke

This study develops a CRISPR/Cas9 platform for editing primary human HSPCs to investigate HIV host factors and their impact on viral infection in vitro and in vivo.

This paper develops a vesicle-based CRISPR/Cas9 platform for efficient gene knockout in primary human myeloid cells, preserving viability and enabling downstream functional studies.

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

The paper introduces a method to link single-cell imaging and gene expression data through multimodal droplet barcoding, identifying genes correlated with phenotypic features.

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.

Prophet predicts cellular phenotypes from perturbations using transfer learning, outperforming baselines and enabling in silico screening for therapeutic discovery.

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