Studies on the biosynthesis of the lipodepsipeptide antibiotic Ramoplanin A2.

Ramoplanin, a non-ribosomally synthesized peptide antibiotic, is highly effective against several drug-resistant Gram-positive bacteria, including vancomycin-resistant Enterococcus faecium (VRE) and methicillin-resistant Staphylococcus aureus (MRSA), two important opportunistic human pathogens. Recently, the biosynthetic cluster from the ramoplanin producer Actinoplanes ATCC 33076 was sequenced, revealing an unusual architecture of fatty acid and non-ribosomal peptide synthetase biosynthetic genes (NRPSs). The first steps towards understanding how these biosynthetic enzymes cooperatively interact to produce the depsipeptide product are expression and isolation of each enzyme to probe its specificity and function. Here we describe the successful production of soluble enzymes from within the ramoplanin locus and the confirmation of their specific role in biosynthesis. These methods may be broadly applicable to the production of biosynthetic enzymes from other natural product biosynthetic gene clusters, especially those that have been refractory to production in heterologous hosts despite standard expression optimization methods.

A crystal structure of a dimer of the antibiotic ramoplanin illustrates membrane positioning and a potential Lipid II docking interface.

The glycodepsipeptide antibiotic ramoplanin A2 is in late stage clinical development for the treatment of infections from Gram-positive pathogens, especially those that are resistant to first line antibiotics such as vancomycin. Ramoplanin A2 achieves its antibacterial effects by interfering with production of the bacterial cell wall; it indirectly inhibits the transglycosylases responsible for peptidoglycan biosynthesis by sequestering their Lipid II substrate. Lipid II recognition and sequestration occur at the interface between the extracellular environment and the bacterial membrane. Therefore, we determined the structure of ramoplanin A2 in an amphipathic environment, using detergents as membrane mimetics, to provide the most physiologically relevant structural context for mechanistic and pharmacological studies. We report here the X-ray crystal structure of ramoplanin A2 at a resolution of 1.4 A. This structure reveals that ramoplanin A2 forms an intimate and highly amphipathic dimer and illustrates the potential means by which it interacts with bacterial target membranes. The structure also suggests a mechanism by which ramoplanin A2 recognizes its Lipid II ligand.

Critical role of NOD2 in regulating the immune response to Staphylococcus aureus.

NOD2 (the nucleotide-binding oligomerization domain containing protein 2) is known to be involved in host recognition of bacteria, although its role in the host response to Staphylococcus aureus infection is unknown. NOD2-deficient (Nod2(-/-)) mice and wild-type (WT) littermate controls were injected intraperitoneally with S. aureus suspension (10(7) bacteria/g of body weight), and their survival was monitored. Cultured bone marrow-derived neutrophils were harvested from Nod2(-/-) and WT mice and tested for cytokine production and phagocytosis. Compared to WT mice, Nod2(-/-) mice were significantly more susceptible to S. aureus infection (median survival of 1.5 days versus >5 days; P = 0.003) and had a significantly higher bacterial tissue burden. Cultured bone marrow-derived neutrophils from Nod2(-/-) and WT mice had similar levels of peritoneal neutrophil recruitment and intracellular killing, but bone marrow-derived neutrophils from Nod2(-/-) mice had significantly reduced ability to internalize fluorescein-labeled S. aureus. Nod2(-/-) mice had significantly higher levels of Th1-derived cytokines in serum (tumor necrosis factor alpha, gamma interferon, and interleukin-2 [IL-2]) compared to WT mice, whereas the levels of Th2-derived cytokines (IL-1beta, IL-4, IL-6, and IL-10) were similar in Nod2(-/-) and WT mice. Thus, mice deficient in NOD2 are more susceptible to S. aureus. Increased susceptibility is due in part to defective neutrophil phagocytosis, elevated serum levels of Th1 cytokines, and a higher bacterial tissue burden.

At-line process analytical technology (PAT) for more efficient scale up of biopharmaceutical microfiltration unit operations.

Tangential flow microfiltration (MF) is a cost-effective and robust bioprocess separation technique, but successful full scale implementation is hindered by the empirical, trial-and-error nature of scale-up. We present an integrated approach leveraging at-line process analytical technology (PAT) and mass balance based modeling to de-risk MF scale-up. Chromatography-based PAT was employed to improve the consistency of an MF step that had been a bottleneck in the process used to manufacture a therapeutic protein. A 10-min reverse phase ultra high performance liquid chromatography (RP-UPLC) assay was developed to provide at-line monitoring of protein concentration. The method was successfully validated and method performance was comparable to previously validated methods. The PAT tool revealed areas of divergence from a mass balance-based model, highlighting specific opportunities for process improvement. Adjustment of appropriate process controls led to improved operability and significantly increased yield, providing a successful example of PAT deployment in the downstream purification of a therapeutic protein. The general approach presented here should be broadly applicable to reduce risk during scale-up of filtration processes and should be suitable for feed-forward and feed-back process control.

An experimental strategy to evaluate the thermodynamic stability of highly dynamic binding sites in proteins using hydrogen exchange.

Quantitative characterization of the stability of highly dynamic regions in proteins is a significant goal because it represents a cornerstone to an understanding of the role of dynamics in function. Due to experimental constraints, however, monitoring the local stability of highly dynamic regions using standard hydrogen exchange (HX) methods is not a viable approach. Here, an experimental strategy is outlined that takes advantage of the coupling between stability as monitored by HX and binding affinity as monitored by isothermal titration calorimetry. It is shown that the stability of dynamic regions, which are part of binding sites, can be inferred from the response of the system to Gly mutations at surface-exposed sites. When applied to the analysis of the highly dynamic RT loop of SEM5 C-terminal SH3 domain, this approach reveals that the energetic consequences of the observed conformational heterogeneity are significant.

Thermodynamic mechanism and consequences of the polyproline II (PII) structural bias in the denatured states of proteins.

A quantitative characterization of the structure and energy of the denatured states of proteins represents the cornerstone to a molecular-level understanding of both protein stability and fold specificity. Recent studies have revealed a significant bias in unstructured peptides toward the polyproline II (P(II)) conformation, even when no prolines are present in the sequence. This indicates that the P(II) conformation is a dominant component of the denatured states of proteins, although a quantitative description of the component enthalpy and entropy functions associated with this conformation (i.e., the thermodynamic mechanism) has thus far proven elusive. An experimental system has been designed that, when analyzed with high-precision isothermal titration calorimetry, provides direct access to the residue-specific thermodynamics of the P(II) structure formation in disordered proteins and peptides. Here, it is shown that the P(II) bias is driven by a favorable and significant enthalpy (Deltah) of -1.7 kcal mol(-1) residue(-1), which is partially offset by an unfavorable entropy (TDeltas) of -0.7 kcal mol(-1) residue(-1), relative to the ensemble of disordered conformations of the molecule. In addition to impacting dramatically the interpretation of thermal denaturation experiments, these experimental values form the framework of a quantitative energetic description of the denatured states of proteins.