DENTI VANNA

Monza, N., Porto, N., Coelho, V., L’Imperio, V., Papetti, D., Di Nicoli, F., et al. (2025). Enhancing proteomics characterization of thyroid nodules: a pixel-classifier for mass spectrometry imaging analyses. Intervento presentato a: 12th MS J-day, Scuola Normale di Pisa, Pisa, Italia. Dettaglio

Porto, N., Serrao, S., Bindi, G., Monza, N., Fumagalli, C., Denti, V., et al. (2025). Exploring 6-aza-2-Thiothymine as a MALDI-MSI Matrix for Spatial Lipidomics of Formalin-Fixed Paraffin-Embedded Clinical Samples. METABOLITES, 15(8) [10.3390/metabo15080531]. Dettaglio

Bindi, G., Monza, N., de Oliveira, G., Denti, V., Fatahian, F., Seyed-Golestan, S., et al. (2025). Sequential MALDI-HiPLEX-IHC and Untargeted Spatial Proteomics Mass Spectrometry Imaging to Detect Proteomic Alterations Associated with Tumour Infiltrating Lymphocytes. JOURNAL OF PROTEOME RESEARCH, 24(2), 871-880 [10.1021/acs.jproteome.4c00914]. Dettaglio

Seyed Golestan, S., Smith, A., Fatahian, F., Aliahmadi, A., Bindi, G., Baghernia, H., et al. (2025). Enhanced Detection of Escherichia coli Lipids and Proteins Using Graphene-Polyglycerol Amine via Mass Spectrometry. JOURNAL OF PROTEOME RESEARCH, 24(4), 2053-2062 [10.1021/acs.jproteome.4c01116]. Dettaglio

Denti, V., Serrao, S., Bossi, E., Paglia, G. (2025). UHPLC-TIMS-PASEF®-MS for Lipidomics: From Theory to Practice. In O. Deda, H.G. Gika, I.D. Wilson (a cura di), Metabolic Profiling
Methods and Protocols (pp. 221-237). Springer Nature [10.1007/978-1-0716-4334-1_12]. Dettaglio