Giuseppe Palmisano

STEP-PTM enables integrated quantitative analysis of proteome, metabolome, and multiple PTM classes from single biological samples using a modular TMT-multiplexed workflow.

This paper introduces GPMAW glyco-search, a workflow for high-confidence identification of intact sialylated N-glycopeptides using TiO2 enrichment, dual LC-MS/MS, and interactive spectrum validation, achieving over 2800 identifications in human plasma.

This paper applies fractal analysis to MALDI-TOF MS data for glioblastoma diagnosis, showing fractals can improve machine learning models but still underperform compared to traditional feature extraction.

This study uses MALDI-TOF MS and machine learning to identify serum biomarkers for astrocytoma diagnosis, achieving 94.5% accuracy in distinguishing GBM from healthy controls.

This study shows that ST8Sia2 polysialyltransferase reduces Trypanosoma cruzi infection by modulating host polysialylation.

The paper infers evolutionary relationships among Leishmaniinae parasites using protein expression profiles, finding results congruent with established DNA-based phylogeny.

This study analyzes the proteomes of three Leishmania species under different growth phases and temperature stress to identify molecular changes during parasite-host interactions.

This study investigates the role of ATE1-mediated N-terminal arginylation in glioblastoma, finding it activates ER-stress and UPR pathways, promotes autophagy, and supports tumor growth.

This study identifies PfMORC as a chromatin-associated protein in Plasmodium falciparum that modulates gene expression through interactions with chromatin remodelers and transcription factors.

The paper analyzes RNAseq data from ocular cells of infants exposed to Zika virus prenatally, revealing gene expression changes in both symptomatic and asymptomatic cases.

This paper describes an optimized impression cytology method to obtain viable ocular cells from babies with Congenital Zika Syndrome, enabling transcriptomic and proteomic analyses.

This paper introduces a mass spectrometry-based strategy called TiCPG to simultaneously analyze proteome and three PTMs in cytokine-stimulated INS-1E cells, revealing extensive PTM regulation in beta-cell apoptosis pathways.