Thomas Kislinger

The paper quantifies urinary proteome differences between Black and White prostate cancer patients, finding immune pathway dysregulation and aggressive cancer features in Black patients after controlling for age, PSA, and cISUP.

This study shows that BRCA1 mutations impair the G1/S checkpoint in luminal progenitors, altering their response to irradiation stress compared to basal cells.

This paper uses N-glycoproteomics to analyze patient-derived xenografts, identifies FAT2 as a therapeutic target for head and neck cancers, and validates its role in tumor growth and CAR T cell activity.

The paper profiles proteomic and functional features of mammary epithelial cells in high-risk women, showing how clinical factors influence cellular composition and tumor risk.

This study identifies SLC7A1 and arginine metabolism as a therapeutic vulnerability in high-grade serous ovarian cancer through surface proteomics and functional analysis.

moPepGen identifies non-canonical peptides from genetic and transcriptomic data across species and technologies by generating them in linear time.

The paper identifies PR-expressing basal cells and PR-primed progenitors, redefining mammary epithelial hierarchy and challenging existing models of breast biology and cancer.

This study identifies stress granules as critical for AML stem cell survival and stress adaptation, revealing their role in gene regulation and potential as therapeutic targets.

This study uses cryo-EM and BaR to analyze protein complexes in an Alzheimer's rat brain model, revealing structural insights relevant to multiple diseases.

The paper quantifies secreted and extracellular vesicle (EV) urinary proteomes in men with and without prostate cancer, showing their stability and utility in distinguishing malignant from benign lesions.

This paper standardizes a proteotype analysis workflow across multiple international sites to enable distributed, reproducible proteomic data generation for precision medicine.