Thomas Fillmore

This study detects melanoma using serum proteome profiling and machine learning, identifying eight protein biomarkers with high diagnostic accuracy.

This paper develops a dual ion funnel interface to enhance sensitivity in single-cell proteomics, enabling reliable quantification of low-abundance proteins from single-cell samples.

This study identifies stem-monocytic AML as a distinct subtype resistant to venetoclax and shows that PU.1 inhibition synergizes with BCL2 blockade to enhance therapeutic response.

This study uses phosphoproteomics to analyze signaling dynamics in neuronal cells stimulated with insulin and IGFs, identifying key phosphorylation events and pathways involved in actin cytoskeletal regulation.

This study uses sorted-cell proteomics to identify BPD-specific proteome changes in epithelial and endothelial cells, revealing cornification-associated proteins and redox imbalance.

The paper analyzes two extremophilic algae to understand their iron management strategies, identifying novel iron-uptake proteins and adaptive mechanisms that enable survival in low-iron environments.

Q4SRM is a software tool that rapidly assesses the quality of targeted proteomics experiments by monitoring stable-isotope labeled standards.