James M. Fulcher

This study profiles multi-omics data in Picochlorum celeri under CO2 limitation, revealing a CO2-dependent switch in Rubisco subunits and extensive post-translational modifications.

This paper identifies a non-bifurcating NADH-dependent enzyme complex in anaerobic fungi responsible for H2 production, distinct from ferredoxin-dependent pathways.

ChatGEM enables interactive simulation of genome-scale metabolic models via natural language, improving performance and reducing execution time for complex tasks.

This paper uses spatial microproteomics to characterize the proteomic landscape of Bacillus subtilis biofilms, identifying subpopulations through proteoform analysis.

This study investigates how varying PDA media strengths affect the growth of Colletotrichum sublineola using proteomics and metabolomics, revealing nutrient limitation-induced sporulation and metabolic reprogramming.

The paper introduces TopRepo, a comprehensive TD-MS spectral repository, and shows it improves proteoform identification and supports DL model training for spectral prediction.

This paper introduces a single-cell proteomics pipeline for analyzing human microglia, identifying 1039 proteins per cell and revealing mitochondrial protein variation across subtypes.

This study evaluates chemical decrosslinking to improve proteome coverage in FFPE tissues, finding that 3,4-diaminobenzoic acid enhances precursor identifications in pancreatic samples.

This paper develops a high-throughput single-cell proteomic method for PBMCs, achieving 660 cells per day with 750 protein identifications per cell and identifying low-frequency cell types.

This study applies single-cell proteomics to Arabidopsis leaf mesophyll cells to identify drought stress-related proteins and changes in protein networks.

The paper introduces nanoSPINS, a platform for high-throughput single-cell multiomics that integrates transcriptomic and proteomic profiling from the same cells, demonstrating improved throughput and statistical power.

This paper uses top-down proteomics to analyze changes in proteoforms of human pancreatic islets after cytokine treatment, identifying potential markers for T1D progression.

This paper develops a spatial proteomics workflow to identify and map proteoforms in human kidney tissue, revealing spatially distinct proteomic profiles between glomeruli and tubules.

The paper introduces nanoSPLITS, a platform for simultaneous transcriptome and proteome profiling of single cells, and demonstrates its application in cell cycle regulation and cell type identification.