Katharina Imkeller

This study benchmarks cell-type deconvolution methods across cross-platform transcriptomic data, finding that log-normal regression methods like SpatialDecon perform most reliably.

The paper develops LongAIRR, a computational framework for spatially resolving adaptive immune receptor repertoires from long-read sequencing, improving consensus accuracy and enabling platform-agnostic analysis.

This study shows IL-38 reduces monocyte antigen presentation and promotes regulatory T-cell expansion, thereby limiting alloreactivity in GvHD models.

The paper identifies tertiary lymphoid structures in gliomas as sites of immune response, showing they correlate with better survival and involve T and B cell clonal expansion and plasma cell formation.

The paper uses single-cell sequencing and spatial transcriptomics to compare immune responses in leptomeningeal disease with other CNS disorders, identifying disease-specific immune environments and progression mechanisms.

This paper introduces a workflow for allele-specific immune gene quantification in scRNA-seq data, validated across datasets and platforms.

This study shows that blocking ATP-to-adenosine enzymes and combining with radiotherapy improves anti-cancer immunity in brain metastases by altering immune cell populations and tumor inflammation.

The paper develops a statistical test to improve hit detection in CRISPR screens by accounting for asymmetric gRNA abundance changes, allowing smaller experiment sizes.