Matthew Waas

This study identifies culture-associated changes in the human cardiac fibroblast surfaceome and provides a resource to prioritize surface markers and targets.

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.

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 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 study identifies FABP7 progenitors as a targetable metabolic root in BRCA1 breast cancer, showing their dysregulation and potential inhibition via fatty acid metabolism disruption.

DROPPS enables high-fidelity proteomic profiling of rare cell populations with low input, revealing CD36 as a marker of progenitor capacity in mammary basal cells.

CIRFESS identifies theoretically detectable peptides for cell surface and extracellular proteomic studies by integrating prediction strategies and annotations.

SurfaceGenie prioritizes cell-type specific surface markers using GenieScore, demonstrating its utility on human and rodent data from cancer, stem cell, and islet biology.

The paper develops a standardized protocol for accurately identifying cardiomyocytes using flow cytometry by evaluating anti-troponin antibodies and sample preparation methods.