The transmembrane serine protease MarP is important for pH homeostasis in Mycobacterium tuberculosis (Mtb). Previous structural studies revealed that MarP contains a chymotrypsin fold and a disulfide bond that stabilizes the protease active site in the substrate-bound conformation. Here, we determined that MarP is located in the Mtb periplasm and showed that this localization is essential for function. Using the recombinant protease domain of MarP, we identified its substrate specificity using two independent assays: positional-scanning synthetic combinatorial library profiling and multiplex substrate profiling by mass spectrometry. These methods revealed that MarP prefers bulky residues at P4, tryptophan or leucine at P2, arginine or hydrophobic residues at P1, and alanine or asparagine at P1'. Guided by these data, we designed fluorogenic peptide substrates and characterized the kinetic properties of MarP. Finally, we tested the impact of mutating MarP cysteine residues on the peptidolytic activity of recombinant MarP and its ability to complement phenotypes of Mtb ΔMarP. Taken together, our studies provide insight into the enzymatic properties of MarP, its substrate preference, and the importance of its transmembrane helices and disulfide bond.

Access to experimental X-ray diffraction image data is fundamental for validation and reproduction of macromolecular models and indispensable for development of structural biology processing methods. Here, we established a diffraction data publication and dissemination system, Structural Biology Data Grid (SBDG; data.sbgrid.org), to preserve primary experimental data sets that support scientific publications. Data sets are accessible to researchers through a community driven data grid, which facilitates global data access. Our analysis of a pilot collection of crystallographic data sets demonstrates that the information archived by SBDG is sufficient to reprocess data to statistics that meet or exceed the quality of the original published structures. SBDG has extended its services to the entire community and is used to develop support for other types of biomedical data sets. It is anticipated that access to the experimental data sets will enhance the paradigm shift in the community towards a much more dynamic body of continuously improving data analysis.