Duc Tung Vu

Multi-cohort, cross-species urinary proteomics reveals signatures of LRRK2 dysfunction in Parkinsons disease

The paper identifies urinary protein signatures linked to LRRK2 dysfunction in Parkinson's disease using multi-cohort proteomics and machine learning, showing cross-species relevance and potential as pharmacodynamic markers.

Deep Learning-Driven Fragment Ion Selection for Improved Quantification in MS based Proteomics

The paper introduces QuantSelect, a deep learning method for fragment ion selection in DIA proteomics, improving quantification accuracy and differential expression sensitivity.

Targeting Specific Kinase Substrates Rescues Increased Colitis Severity Induced by the Crohn's Disease-Linked LRRK2-N2081D Variant

This study investigates how the LRRK2-N2081D variant increases Crohn's disease risk by showing it causes more severe colitis and distinct RAB substrate phosphorylation compared to LRRK2-G2019S.

Proteomic analysis of isolated nerve terminals from NaV1.9 knockout mice reveals pathways relevant for neuropathic pain signalling

The paper isolates nerve terminals from NaV1.9 knockout mice and performs proteomic analysis to identify dysregulated pathways in neuropathic pain signaling.

Proteome Profiling of Cerebrospinal Fluid Reveals Novel Biomarker Candidates for Parkinson's Disease

The paper uses proteomics and machine learning to identify potential biomarkers in cerebrospinal fluid for Parkinson's disease, showing altered protein levels and neuroinflammation signatures.