Proteins are involved in all living organism processes. Their complex structure, interactions dynamics in concentration, or modification make the study of their actions and relationships a considerable challenge. Proteomics has been widely used to identify, quantify, and characterise the protein content of an organism, or a more subset of proteins. Ultimately, proteomics is intended to gain efficiency in clinical diagnosis, rational drug-design or biotechnological advances.

The PROTEOMICS Facility is hosted by the PROTEOMASS Scientific Society @ FCT/UNL and is managed by the BIOSCOPE–C4O group ( The goals of the facility are to provide expertise in proteomics to researchers at different institutions in Portugal and abroad and to establish a highly efficient research and educational environment for sharing ideas, experiences, and knowledge of proteomics applications in biological and biomedical studies.

The Facility will routinely provide services including protein separation by 2D-SDS-PAGE and Off-gel isoelectric focusing, image analysis as well as identification of Coomassie and silver–staidend gel bands/ spots and solutions samples; post-translational modification mapping of Coomassie-stained gel bands of purified proteins, and relative peptide/protein quantification by stable isotope labeling as well as identification of microorganisms by their molecular fingerprints using MALDI-TOF-MS.

The PROTEOMICS Facility comprises a MALDI-TOF/TOF MS Ultraflex from Bruker Daltonics; an HPLC Accela 600 from Thermo Finnigan coupled to a PDA-detector and a MALDI-Spotter from SunChrom is also available for LC-MALDI-MS/MS experiments. The ProPicII imaging and picking integrated onto a single platform and equipped with a built-in imaging 16-bit scanning, cooled camera (CCD) allows for unparalleled picking accuracy in gel-based proteomics. Furthermore a 96-well plate reader is also available for high-throughput scanning of target biomolecules.

The PROTEOMICS Facility provides a comprehensive service (service provider) assisted by trained PhD researchers, from experimental design, sample preparation, analysis as well as data mining.