Leonard J. Foster

TransPepMS verifies peptides not in reference proteomes by resolving ambiguities in mass-spectrometry data to distinguish genuine non-canonical peptides from false positives.

WrapEvoFS selects a representative feature set from stochastic searches with regret constraints, ensuring auditable and reproducible results without claiming predictive superiority.

This study identifies a novel signaling pathway involving Cx43, ANXA2, S100A10, and MMP3 that promotes glioma invasion by regulating ECM proteolysis.

This study identifies cathepsin K-generated spliced peptides as potential autoantigens in RA, compatible with HLA-DR4 presentation.

This study shows that PDK1 knockout in female mice leads to cardiac metabolic remodeling and reduced fatty acyl availability, while male mice show no such effects.

The paper applies single-cell proteomics to study proteome changes during NGF-induced PC12 differentiation, revealing subpopulations not detected in bulk data.

This study examines how pesticide exposure and RNA virus loadings affect the honey bee gut microbiome across Canadian agroecosystems, identifying consistent bacterial-virus and pesticide-microbe associations.

The paper uses tissue-resolved proteomics to analyze how pesticide and pathogen stressors affect honey bee tissues across crop ecosystems, finding stable tissue-specific patterns and crop-associated changes.

GIRAFI improves sparse single-cell proteomics by imputing missing values and revealing cell states using graph-informed statistical learning, outperforming existing methods and recovering biological structure.

The paper introduces a cost-effective single-cell proteomics workflow and a data evaluation framework to improve data quality and biological interpretability.

The paper introduces a single-cell proteomics workflow using an inkjet printer and nanowell chip to improve protein recovery and throughput.

This paper develops a globally representative immunopeptidomics approach to identify vaccine candidates that account for HLA diversity across populations.

The paper develops a framework to analyze MAE-derived immunopeptidomes from cell lines with shared HLA haplotypes to identify MHC epitopes and binding motifs.

The paper shows that ribosome biogenesis affects translational regulation of non-optimal codon transcripts during IFN stimulation.

This paper demonstrates that lysosomal cysteine cathepsins can generate fusion peptides through reverse proteolysis, revealing a new dimension of protease activity and peptide diversification.

This study finds no impact of western red cedar hive boxes on honey bee overwintering survival or detoxification enzyme expression compared to pine boxes.

This study examines how viral infections affect honey bee egg composition, finding that experimental infections alter proteomic profiles, while natural infections do not, with seasonal factors playing a significant role.

This study shows that PDK1 regulates triacylglycerol turnover in cardiomyocytes under nutrient deprivation, independent of its role in glucose metabolism.

This study shows that virus infection in honey bee queens reduces methyl oleate, a pheromone component, by decreasing ovary mass and altering lipid profiles, potentially triggering worker supersedure.

The paper investigates how body mass, viral infections, Africanization, and geographic origin affect heat tolerance in drone honey bees, finding that body size and origin significantly influence survival, while sperm heat tolerance is impacted by viral infections.

This study uses spatial and single-cell transcriptomics to compare bat, mouse, and human tissues, revealing immune pathway divergence and unique gene expression patterns in bat gut and lung.

This paper introduces DeepMet, a chemical language model that predicts and discovers unknown metabolites using mass spectrometry data.

This study shows that honey bee foraging preferences influence exposure to different stressor syndromes, with diverse foraging linked to pathogens and limited foraging linked to xenobiotics.

The paper investigates the proteomic effects of neurotrophic trans-banglene (t-BG) and finds it alters iron-binding proteins, suggesting a link between iron homeostasis and neurotrophic activity.

This study shows that viral infections reduce honey bee queen egg-laying and are linked to supersedure, but immune responses are not fully responsible for these effects.

This study shows that glutathione metabolism in Cryptococcus neoformans affects virulence by modulating redox processes and melanin production in a murine infection model.

This study shows that β-hydroxybutyrate (βHB) increases insulin secretion and decreases glucagon secretion in human and mouse islets at physiological glucose concentrations.

The paper examines how climate factors influence the occurrence and intensity of three honey bee pathogens across Canada, identifying key climatic predictors for each disease agent.

HumanIslets.com provides an open platform for accessing and analyzing human islet data, enabling research on diabetes through integrated molecular and cellular phenotyping.

The study investigates pathogen prevalence in honey bees during highbush blueberry pollination, finding higher sacbrood virus levels in bees near blueberry fields post-pollination.