Structure of GATE-16, membrane transport modulator and mammalian ortholog of autophagocytosis factor Aut7p

The GATE-16 protein participates in intra-Golgi transport and can associate with the N-ethylmaleimide-sensitive fusion protein and with Golgi SNAREs. The yeast ortholog of GATE-16 is the autophagocytosis factor Aut7p. GATE-16 is also closely related to the GABA receptor-associated protein (GABARAP), which has been proposed to cluster neurotransmitter receptors by mediating interaction with the cytoskeleton, and to the light chain-3 subunit of the neuronal microtubule-associated protein complex. Here, we present the crystal structure of GATE-16 refined to 1.8 A resolution. GATE-16 contains a ubiquitin fold decorated by two additional N-terminal helices. Proteins with strong structural similarity but no detectable sequence homology to GATE-16 include Ras effectors that mediate diverse downstream functions, but each interacts with Ras by forming pseudo-continuous beta-sheets. The GATE-16 surface suggests that it binds its targets in a similar manner. Moreover, a second potential protein-protein interaction site on GATE-16 may explain the adapter activity observed for members of the GATE-16 family.     

Axoglial Adhesion by Cadm4 Regulates CNS Myelination

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Porin Isolated from the Outer Membrane of <Emphasis Type="Italic">Erwinia amylovora</Emphasis> and Its Encoding Gene

A major Erwinia amylovora outer-membrane protein (Omp-EA) and the gene encoding for this protein (omp-EA) were isolated and characterized. The native Omp-EA protein forms a trimeric structure of approximately 114 kDa. This protein demonstrated high resistance to detergents such as SDS and octyl-glucopyranoside, but disaggregated to monomers with a molecular weight (MW) of approximately 39 kDa after heating at 95°C for 10 minutes in sample buffer. The pore-forming ability of the oligomeric Omp-EA was determined by the liposome swelling assay, demonstrating that the oligomeric protein formed nonspecific channels with an exclusion limit of approximately 660 Da. On dissociation, the monomers did not exhibit pore-forming ability. The omp-EA gene was cloned and sequenced (GenBank Accession No. DQ184680). Sequence analysis revealed an open reading frame of 1152 bases. The deduced amino-acid sequence had 383 amino acids. The mature protein consisted of 362 amino acids and had a calculated MW of 39,210 Da. Multiple-sequence alignment of Omp-EA with other porins from the Enterobacteriaceae family revealed 51% to 63% identity. The first 16 amino acids from the N-terminal exhibited the highest identity (100%) to the porins OmpC, OmpF, and PhoE of Escherichia coli. Two methods were used to predict the secondary structure: APSSP2 and Hidden and Markov’s model. The monomers of Omp-EA porin presented a topology of 16 transmembranal β-strands. The area of the loops between the β -strands was proposed. It is suggested that further research on the porin and its loops may be important for understanding the mechanism of E. amylovor to invade plant tissues.     

An Integrated Framework Advancing Membrane Protein Modeling and Design

Membrane proteins are critical functional molecules in the human body, constituting more than 30% of open reading frames in the human genome. Unfortunately, a myriad of difficulties in overexpression and reconstitution into membrane mimetics severely limit our ability to determine their structures. Computational tools are therefore instrumental to membrane protein structure prediction, consequently increasing our understanding of membrane protein function and their role in disease. Here, we describe a general framework facilitating membrane protein modeling and design that combines the scientific principles for membrane protein modeling with the flexible software architecture of Rosetta3. This new framework, called RosettaMP, provides a general membrane representation that interfaces with scoring, conformational sampling, and mutation routines that can be easily combined to create new protocols. To demonstrate the capabilities of this implementation, we developed four proof-of-concept applications for (1) prediction of free energy changes upon mutation; (2) high-resolution structural refinement; (3) protein-protein docking; and (4) assembly of symmetric protein complexes, all in the membrane environment. Preliminary data show that these algorithms can produce meaningful scores and structures. The data also suggest needed improvements to both sampling routines and score functions. Importantly, the applications collectively demonstrate the potential of combining the flexible nature of RosettaMP with the power of Rosetta algorithms to facilitate membrane protein modeling and design.     

Toll-like receptor 4 is needed to restrict the invasion of Escherichia coli P4 into mammary gland epithelial cells in a murine model of acute mastitis

Mastitis, an inflammatory response of the mammary tissue to invading pathogenic bacteria, is a common disease in breast-feeding women and dairy animals. Escherichia coli is a leading cause of mastitis in dairy animals. During the course of the disease the host mounts a strong inflammatory response, but specific bacterial virulence factors have not yet been identified. Here we report the use of a murine mastitis model to investigate the innate inflammatory reaction of the mammary gland. We show that lipopolysaccharide (LPS) infusion induces mastitis in wild-type mice (C3H/HeN), but not in mice expressing mutated Toll-like receptor 4 (TLR4) (C3H/HeJ). The wild-type phenotype was restored by adoptive transfer of TLR4-expressing macrophages into the alveolar milk space of C3H/HeJ mice. In contrast to the LPS treatment, infection with E. coli P4 (ECP4) resulted in inflammation even in the absence of LPS/TLR4 signalling, indicating that additional factors play a role in the pathogenesis of the intact bacteria. Furthermore, in the absence of functional TLR4 the infecting ECP4 invade the epithelial cells with high efficiency, forming intracellular microcolonies. However, adoptive transfer with TLR4-expressing macrophages drastically reduced the epithelial invasion. Taken together, these results indicate that ECP4 has an invasive potential, which is restricted by alveolar macrophages in response to the LPS/TLR4 signalling.     

ROS, mitochondria and the regulation of autophagy

Accumulation of reactive oxygen species (ROS) is an oxidative stress to which cells respond by activating various defense mechanisms or, finally, by dying. At low levels, however, ROS act as signaling molecules in various intracellular processes. Autophagy, a process by which eukaryotic cells degrade and recycle macromolecules and organelles, has an important role in the cellular response to oxidative stress. Here, we review recent reports suggesting a regulatory role for ROS of mitochondrial origin as signaling molecules in autophagy, leading, under different circumstances, to either survival or cell death. We then discuss the relationship between mitochondria and autophagosomes and propose that mitochondria have an essential role in autophagosome biogenesis.     

Fibroblast growth factor (FGF) homologous factors share structural but not functional homology with FGFs

Fibroblast growth factors (FGFs) interact with heparan sulfate glycosaminoglycans and the extracellular domains of FGF cell surface receptors (FGFRs) to trigger receptor activation and biological responses. FGF homologous factors (FHF1-FHF4; also known as FGF11-FGF14) are related to FGFs by substantial sequence homology, yet their only documented interactions are with an intracellular kinase scaffold protein, islet brain-2 (IB2) and with voltage-gated sodium channels. In this report, we show that recombinant FHFs can bind heparin with high affinity like classical FGFs yet fail to activate any of the seven principal FGFRs. Instead, we demonstrate that FHFs bind IB2 directly, furthering the contention that FHFs and FGFs elicit their biological effects by binding to different protein partners. To understand the molecular basis for this differential target binding specificity, we elucidated the crystal structure of FHF1b to 1.7-A resolution. The FHF1b core domain assumes a beta-trefoil fold consisting of 12 antiparallel beta strands (beta 1 through beta 12). The FHF1b beta-trefoil core is remarkably similar to that of classical FGFs and exhibits an FGF-characteristic heparin-binding surface as attested to by the number of bound sulfate ions. Using molecular modeling and structure-based mutational analysis, we identified two surface residues, Arg52 in the beta 4-beta 5 loop and Val95 in the beta 9 strand of FHF1b that are required for the interaction of FHF1b with IB2. These two residues are unique to FHFs, and mutations of the corresponding residues of FGF1 to Arg and Val diminish the capacity of FGF1 to activate FGFRs, suggesting that these two FHF residues contribute to the inability of FHFs to activate FGFRs. Hence, FHFs and FGFs bear striking structural similarity but have diverged to direct related surfaces toward interaction with distinct protein targets.