Emile E. Voest

Tryptophan degradation by intestinal Bacteroides induces anti-tumor immunity and limits melanoma growth

This study shows that intestinal Bacteroides species degrade tryptophan into indoles, which enhance anti-tumor immunity and limit melanoma growth.

CRISPR screens in the context of immune selection identify CHD1 and MAP3K7 as mediators of cancer immunotherapy resistance

The paper identifies CHD1 and MAP3K7 as mediators of cancer immunotherapy resistance through CRISPR screens and shows their potential as biomarkers for immunotherapy response.

Identification of (ultra-)rare functional promoter mutations in cancer using sequence-based deep learning models

This study uses sequence-based deep learning models to identify functional promoter mutations in cancer, finding enrichment in known and novel cancer genes.

The regulatory grammar of human promoters uncovered by MPRA-trained deep learning

This paper introduces PARM, a deep learning model trained on MPRA data to predict human promoter activity and identify TF binding preferences, revealing positional and functional differences in regulatory grammar.

Impact of genetic counselling strategy on diagnostic yield and workload for genome sequencing-based tumour diagnostics

This study evaluates genetic counselling strategies for genome sequencing-based tumour diagnostics, finding that post-test strategies reduce unnecessary referrals while maintaining PGV detection rates.

Partner-independent fusion gene detection by multiplexed CRISPR/Cas9 enrichment and long-read Nanopore sequencing

This paper introduces FUDGE, a method for detecting fusion genes using CRISPR/Cas9 enrichment and long-read sequencing, achieving high sensitivity and specificity across various cancer types.