Johannes C. Melms

This study maps human natural killer cell development in tonsil using single-cell analysis, showing spatial trajectories and tissue niches that support NK cell differentiation.

This study creates a single-nucleus and spatial transcriptomic atlas of the COVID-19 liver, revealing cellular and functional disruptions associated with organ damage.

Echidna quantifies gene dosage effects on phenotypic plasticity by integrating scRNA-seq and WGS data to separate genetic from cell non-autonomous mechanisms.

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

This study uses base editing to screen for variants affecting T cell anti-tumor functions, identifying mutations that enhance tumor elimination with minimal off-target effects.

This study maps human natural killer cell development in pediatric tonsil using imaging mass cytometry and high-resolution microscopy, revealing stage-specific localization and interactions.

This study develops a method for single-cell and whole-genome sequencing of frozen clinical specimens, demonstrating its utility in analyzing tumor evolution and rare disease biospecimens.

The paper uses Perturb-CITE-Seq to identify novel immune evasion mechanisms in cancer by analyzing multi-modal single-cell data from patient-derived models.