Over the last 10 years, DNA sequences of more than 600 bacterial species have been deposited in databases and are now available to search any gene, motif, or regulatory sequence of interest. Although genome data are instrumental in phylogenetic analysis and in silico design of metabolic and regulatory networks, only a very small fraction of the information has been experimentally validated. A striking example is lipoproteins predicted from genome sequences. Despite the predominance of this class of surface proteins in bacteria (up to 0.5 to 8% of the proteome), very few of these proteins have been identified as lipoproteins by biochemical methods (19). In this issue of the Journal of Bacteriology, Baumgärtner et al. (2) report a systematic analysis of lipoproteins of Listeria monocytogenes, a facultative gram-positive intracellular bacterial pathogen that causes severe infections (listeriosis) in both human and animals. These authors used an L. monocytogenes mutant defective in lipoprotein diacylglyceryl transferase (Lgt), an enzyme involved in lipoprotein processing. Three aspects of their study should be highlighted: (i) new findings concerning the roles of Lgt and lipoprotein-specific signal peptidase II (Lsp) during lipoprotein processing (22); (ii) the identification of 26 of the 68 lipoproteins predicted in the initial annotation of the L. monocytogenes strain EGD-e genome (7); and (iii) experimental evidence that a few of these lipoproteins are regulated by PrfA, the master virulence regulator of L. monocytogenes (8). Below, we discuss the significance of these findings separately.