Erin Shammel Baker

The paper develops XCiMS software to analyze LC-IMS-MS data and evaluates how ion mobility spectrometry improves untargeted metabolomics by reducing chimeric spectra and providing CCS values.

This study shows that secondary bile acid metabolism, not nutrient competition, reduces C. difficile toxin-mediated disease in vivo, independent of colonization resistance.

This study examines how PFOA exposure affects metabolism and immune response to SARS-2 in ferrets, finding altered metabolic responses and impaired immune function.

This study analyzes PFAS concentrations in dolphin milk over two years, finding high levels of PFOS exceeding safety thresholds and suggesting breastmilk as a major source of early-life PFAS exposure.

The paper develops a multidimensional bile acid reference library and evaluates workflows for accurate bile acid measurement in biological samples.

An audit of 38 PFAS non-targeted studies from 2023 found confidence levels often missing or misapplied; a five-level, sublevel-free checklist with predefined platform tolerances is proposed for ion mobility workflows.

The paper creates a database of IMS-MS data for 4,685 xenobiotic chemicals to enable rapid suspect screening of environmental contaminants.

This study identifies aging-associated proteomic and lipid signatures in exosomes from senescent cells and human plasma, revealing shared biomarkers and pathways linked to senescence and tissue damage.

Non-targeted LC-ion mobility-HRMS of North Carolina and Florida alligator plasma found 46 PFAS, including two new polyfluorinated triether acids; Cape Fear River animals carried the most.

The paper uses lipidomics to analyze changes in lipid composition during pluripotent stem cell differentiation toward neural and mesodermal lineages, identifying shared and unique lipid fluctuations.

This study identifies proteomic and lipidomic biomarkers in blood samples of California sea lions to detect domoic acid toxicosis early.

This study examines changes in microbiome, metabolome, and lipidome after fecal microbiota transplantation for recurrent C. difficile infection, identifying lipid and bile acid shifts linked to treatment success.

The paper introduces an aggregated molecular phenotype (AMP) scoring system to visualize and classify molecular changes in mass spectrometry imaging data with high accuracy.

The paper develops a multidimensional lipid library using Skyline to annotate lipidomic data and applies it to identify lipid markers for smoke inhalation injury severity.

This study uses lipidomics to analyze leaf-cutter ant fungal gardens, showing lipids play roles in energy transfer and inter-kingdom communication through differential fatty acid responses.