Mass spectrometry is a key tool in cell proteomics. This technique, based on mass determination, is currently used to identify proteins, their amino-acid sequences and their posttranslational modifications. This method can also be used for the identification and sequencing of DNA, RNA and sugars. MALDI-TOF MS is used to identify unknown protein or peptide sequences in fractionated cells. Coupled with twodimensional gels, MALDI-TOF MS can be used to create proteomic maps of cell types such as macrophages and of intracellular compartments. MALDI-TOF MS has been recently introduced into microbiology laboratories to identify and classify bacterial species using intact bacteria. In 2008 a large number of bacterial species present in clinical specimens were identified using databases established from isolated species. In 2006, MALDI-TOF MS has been applied to mammalian cells from three cell lines after lysis in 2,5dihydroxybenzoic acid matrix solution. In these conditions, it has been possible to discriminate the different mammalian lines. Recently, MALDI-TOF MS has been applied to eukaryotic cell lines to provide rapid characterization of cultured cells. However, the method used to analyze these cultured cells involved two steps of ethanol inactivation and formic acid/acetonitrile extraction. To our knowledge, MALDI-TOF MS has not yet been directly applied to intact eukaryotic cells. Our objective was to determine whether intact immune cells exhibited reproducible and specific signatures in MALDI-TOF MS. We found that this approach was useful for discriminating between immune cells. For example, circulating T lymphocytes, monocytes and PMNs as well as monocyte-derived macrophages and DCs all exhibited distinct spectra. We describe the first elements of a database that will be useful for studying cell subsets in tissues and possibly their activation state. Baselines were automatically subtracted from spectra, and the background noise was smoothed during acquisition through the FlexControl software. This reference was validated by other samples from the same cell type. The Biotyper software realigns acquired BIBW2992 spectra from each cell type and automatically creates an average spectrum using default Biotyper software settings provided by the manufacturer. These settings were the same than those used in routine bacteriology. Briefly, the sensitivity or the maximum tolerated error on the values of mass spectra and spectrum shift was 8000 particles per million. The minimum frequency to benchmark selection of peaks was 25%, and only peaks with a signal/noise intensity above background were selected by the software. The cell-type reference consisting of 70 peaks was added to the database.