Wencke Walter

Unbiased, systematic surfaceome profiling of Acute Leukemia to identify novel immunotherapy targets

The paper presents an unbiased surfaceome atlas of leukemic cell lines, identifying novel surface proteins and discordant gene expression patterns, with CD70 highlighted as a potential therapeutic target in AML.

The machine-learning classifier ALLCatchR2 identifies 20 T-ALL subtypes across cohorts and age groups

The paper introduces ALLCatchR2, a machine learning classifier that identifies 20 T-ALL subtypes across multiple cohorts and age groups with high accuracy.

Localized heme sensing through a ternary molecular glue

The paper shows cells use a ternary molecular glue to sense heme, triggering BACH1 degradation and HMOX1 expression to detoxify cytoplasmic heme while sparing mitochondrial heme, revealing a therapeutic vulnerability in AML.

IntegrateALL: an end-to-end RNA-seq analysis pipeline for multilevel data extraction and interpretable subtype classification in B-precursor ALL

IntegrateALL is an RNA-seq pipeline that integrates expression-based subtyping, gene fusion detection, and virtual karyotyping to classify B-ALL with high accuracy.

Intra-subtype heterogeneity shapes treatment response in KMT2A-rearranged ALL across all age groups

This study identifies how developmental maturity and fusion partner influence treatment response in KMT2A-rearranged B-ALL across all ages.

Pyjacker identifies enhancer hijacking events in acute myeloid leukemia including MNX1 activation via deletion 7q

Pyjacker detects enhancer hijacking in AML, identifying MNX1 activation via 7q deletion as a novel oncogenic mechanism.