Gennifer E. Merrihew

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.

This study maps phosphorylation and oxidation changes across the spatiotemporal gradient of the pig lens using proteomic analysis.

This study revisits resonance-excitation collision-induced dissociation (reCID) for DIA proteomics, showing it can achieve performance comparable to HCD with optimized settings and libraries.

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.

The paper identifies age-related molecular changes in mouse spleens using proteomics and transcriptomics, showing cell-type-specific remodeling and gender differences in post-transcriptional buffering.

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.

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

The paper introduces a framework for quality control in quantitative proteomics, combining internal and external QC measures with tools for data analysis and deposition.

The paper shows that a second X chromosome in aging mice improves cognition, with female gonads and sex chromosomes contributing to cognitive resilience.

The paper identifies a genetic locus and protein associated with resilience to cognitive decline in AD-BXD mice and links it to human AD traits.

This study shows that enhancing skeletal muscle TFEB signaling reduces neuroinflammation and tau pathology in aging and neurodegenerative disease models.

The paper presents a high-quality quantitative proteomics dataset for Alzheimer's disease, including samples from different brain regions and clinical groups.

The paper identifies proteomic features of resilience to Alzheimer's disease, finding lower soluble Aβ levels and specific protein interactions in brain regions associated with resistance to dementia.

The paper identifies isomerization of Asp387 in tau as a marker of reduced autophagic flux in Alzheimer's disease using mass spectrometry analysis of brain tissue.

The paper characterizes the egg coat proteome of threespine stickleback fish and identifies evolutionary changes in ZP proteins that may contribute to reproductive isolation.

The paper shows that protein timecourses in yeast can be predicted from mRNA trajectories using a gene-specific model, revealing strain-specific differences in post-translational processes.

This study develops a method to quantify nuclear protein dynamics by isolating chromatin compartments and using mass spectrometry, revealing chromatin remodeling during BET protein degradation.