Health is a product of genome and exposome (food, microbiota, stress, exercise, pathogens): cells belonging to the same organism have the same genome, but the expression of genes is different and this affects the health or disease of the entire organism.  Proteomics is the study of the levels of proteins expressed by genes and how these dynamically change in localization and over time, in response to perturbation.  Proteomics enables the examination of how individual proteome profiles change during periods of health and disease, in high resolution. Proteomics, in correlation with other Personal ‘Omics profiling methods such as microbiome, metabolomics and genomics, allows the discovery of unique therapies that treat an individual’s disease based on their specific features.


The Research interest of the Unit is to develop, and optimize functional proteomic approaches, in synergy with IFR groups to apply in healthy, disease and nutrition studies.  The main research areas of the Proteomics Unit are: 1) Study of molecular mechanism and drug treatments in disease, using cellular and animal models or tissues; 2) Study of Host-microbiota interactions in health and disease; 3) Study of Allergens by Immuno Proteomics; 4) Food-OMICs, and 5) Food Authenticity.

Services we offer:

The Proteomic Unit supports IFR scientists to design the appropriate proteomic experiment to answer in-depth biological questions. The Proteomic approach enables a wide range of applications, starting from biological fluids, cellular, yeast or bacterial models, to the study of food adulterations and allergens. The Proteomic Unit provides all the tools to describe in-depth all biological systems and to study them dynamically changing. The qualitative or quantitative approaches can be targeted or untargeted and involving the study of post-translational modifications. Thanks to the state of art of IFR instruments, the Proteomic Support Unit can offer the following services:

  • Mono & Bi-dimensional Electrophoresis.
  • Protein identification from gel bands and spots.
  • Quantitative Approach to study differentially regulated proteome profiling (label free, SILAC, iTRAQ, TMT, pSILAC in combination with BONCAT to study new synthesised proteins).
  • Study of Interact-omic (quantitative crosslinking)
  • High throughput mass spectrometry analyses (nLC MSMS by Orbitrap Fusion)
  • Quantitative data Analyses (MaxQuant) and qualitative data analyses (Mascot, Scaffold)
  • De novo Sequencing (Peaks)
  • Gene Ontology analyses (Cytoscape)
  • Study of post translational modifications (phosphorylation, glycosylation, sumoylation, ubiquitination and methylation).


Dr Alfonsina D’Amato

Office: W311
Laboratory: W315
Extension: 5078