Matthew R. McIlvin

This study uses proteomics to show that Pseudomonas aeruginosa adjusts its cobalamin homeostasis and pathogenicity in response to temperature changes, revealing temperature-dependent shifts in metabolic strategies.

The paper investigates how genomic diversity influences nutrient stress plasticity in Synechococcus through pan-proteome regulation, showing that strain-specific proteomic adjustments enhance elemental plasticity.

This study examines how zinc and carbonate chemistry affect the carbon concentrating mechanism and growth of the diatom P. tricornutum.

The paper studies bacterial iron acquisition under low carbon conditions and finds that amino acids facilitate iron uptake by E. coli.

This study shows zinc limitation of phytoplankton in Antarctic waters, demonstrating its role in regulating net primary production and providing evidence for the Zn hypothesis.

This study identifies temporal regulation of metabolic processes in Crocosphaera watsonii WH8501 using proteomics, revealing coordinated protein abundance patterns across diel cycles.

This study uses 2D metalloproteomics to analyze iron distribution in Pseudomonas aeruginosa under oxic and anoxic conditions, revealing distinct iron-associated protein complexes and their functional roles.

This study uses mass spectrometry to analyze proteomic changes in Pseudomonas aeruginosa under varying zinc availability, revealing insights into zinc homeostasis mechanisms.

This study compares DIA-MS and DDA-MS for metaproteomics, finding DIA-MS provides more reproducible and accurate protein and peptide identifications across laboratories.

The paper uses metatranscriptomic and metaproteomic analysis of plankton biomass collected across a 1,050 km transect in the western North Atlantic Ocean to reveal shifts in microeukaryote community composition and metabolic function across depth and environmental gradients.

The paper introduces Digital Microbes, an integrative framework for collaborative research on microbes, demonstrating its application with two case studies involving genomic and transcriptomic data.