Christine C. Wu

The paper uses peptide-centric proteomics to identify molecular subtypes in sporadic Alzheimer's disease, revealing distinct phenotypes in specific brain regions.

This study shows that reducing huntingtin in the liver causes inflammation and damage, highlighting safety concerns for HTT-lowering therapies.

Mass spectrometry of Mag-Net-enriched plasma extracellular vesicles from 86 C57BL/6J mice reveals 272 age-correlated proteins, sex-divergent trajectories, and an age clock with 2.75-month mean absolute error.

The paper presents two large-scale proteomics datasets from mice exposed to varying X-ray doses and time points, enabling biomarker discovery and machine learning applications for radiation exposure assessment.

This study compares the effects of two IL-6 inhibitors on serum extracellular vesicles using proteomics, finding distinct protein pathway alterations.

This study investigates whether protein quantification and physical normalization are necessary in proteomics by comparing normalized and unnormalized sample inputs, showing that computational normalization can reduce variability in some cases.

This paper tests AAV8/Best1-Nrf2 gene therapy in rodent models of oxidative stress, showing protection of retinal cells and preservation of visual function.

The paper develops scalable targeted proteomics assays using the Stellar mass spectrometer for analyzing biofluids, demonstrating high sensitivity and multiplexing capabilities.

This paper evaluates a prototype Orbitrap Astral Zoom mass spectrometer for quantitative proteomics, showing improved performance in ion detection and quantitative precision compared to the standard Orbitrap Astral MS.

This paper introduces a method to improve quantitation in DIA proteomics by imputing peptide retention time boundaries, leading to more accurate quantifications and better estimation of radiation exposure.

This paper introduces a transformer-based model called Cascadia for de novo sequencing of data-independent acquisition mass spectrometry data, achieving state-of-the-art performance.

This paper introduces a dynamic DIA mass spectrometry method that improves quantitative sensitivity by adjusting MS/MS windows during chromatographic separation.