Selective degradation of oxidatively modified protein substrates by the proteasome

Oxidative stress in mammalian cells is an inevitable consequence of their aerobic metabolism. Oxidants produce modifications to proteins leading to loss of function (or gain of undesirable function) and very often to an enhanced degradation of the oxidized proteins. For several years it has been known that the proteasome is involved in the degradation of oxidized proteins. This review summarizes our knowledge about the recognition of oxidized protein substrates by the proteasome in in vitro systems and its applicability to living cells. The majority of studies in the field agree that the degradation of mildly oxidized proteins is an important function of the proteasomal system. The major recognition motif of the substrates seems to be hydrophobic surface patches that are recognized by the 20S 'core' proteasome. Such hydrophobic surface patches are formed by partial unfolding and exposure of hydrophobic amino acid residues during oxidation. Oxidized proteins appear to be relatively poor substrates for ubiquitination, and the ubiquitination system does not seem to be involved in the recognition or targeting of oxidized proteins. Heavily oxidized proteins appear to first aggregate (new hydrophobic and ionic bonds) and then to form covalent cross-links that make them highly resistant to proteolysis. The inability to degrade extensively oxidized proteins may contribute to the accumulation of protein aggregates during diseases and the aging process.     

Beyond the "recognition code": structures of two Cys2His2 zinc finger/TATA box complexes

BACKGROUND: Several methods have been developed for creating Cys2His2 zinc finger proteins that recognize novel DNA sequences, and these proteins may have important applications in biological research and gene therapy. In spite of this progress with design/selection methodology, fundamental questions remain about the principles that govern DNA recognition. One hypothesis suggests that recognition can be described by a simple set of rules--essentially a "recognition code"--but careful assessment of this proposal has been difficult because there have been few structural studies of selected zinc finger proteins. RESULTS: We report the high-resolution cocrystal structures of two zinc finger proteins that had been selected (as variants of Zif268) to recognize a eukaryotic TATA box sequence. The overall docking arrangement of the fingers within the major groove of the DNA is similar to that observed in the Zif268 complex. Nevertheless, comparison of Zif268 and the selected variants reveal significant differences in the pattern of side chain-base interactions. The new structures also reveal side chain-side chain interactions (both within and between fingers) that are important in stabilizing the protein-DNA interface and appear to play substantial roles in recognition. CONCLUSIONS: These new structures highlight the surprising complexity of zinc finger-DNA interactions. The diversity of interactions observed at the protein-DNA interface, which is especially striking for proteins that were all derived from Zif268, challenges fundamental concepts about zinc finger-DNA recognition and underscores the difficulty in developing any meaningful recognition code.     

Structure and function of Toll-like receptor proteins

Beginning in 1997 with the identification of the first human homologue of the Drosophila protein Toll, a family of related molecules have been identified in both humans and other mammals. These Toll-like receptor (TLR) proteins appear to represent a conserved family of innate immune recognition receptors. TLR proteins share extended homology with receptors for the cytokines interleukin 1 (IL-1) and interleukin 18 (IL-18). These receptors are coupled to a signaling pathway that is conserved in mammals, insects, and plants, resulting in cellular activation, thereby stimulating innate immune defenses. A variety of bacterial and fungal products have been identified that serve as TLR ligands, and more recent studies have identified the first endogenous protein ligands for TLR proteins. While TLR signaling is likely to be a key feature of innate immune responses, these proteins may also regulate homeostasis via interaction with endogenous protein ligands.     

The biology of Toll-like receptors

In 1997, a human homologue of the Drosophila Toll protein was described, a protein later to be designated Toll-like receptor 4 (TLR4). Since that time, additional human and murine TLR proteins have been identified. Mammalian TLR proteins appear to represent a conserved family of innate immune recognition receptors. These receptors are coupled to a signaling pathway that is conserved in mammals, insects, and plants, resulting in the activation of genes that mediate innate immune defenses. Numerous studies have now identified a wide variety of chemically-diverse bacterial products that serve as putative ligands for TLR proteins. More recent studies have identified the first endogenous protein ligands for TLR proteins. TLR signaling represents a key feature of innate immune response to pathogen invasion.     

Cargo recognition during clathrin-mediated endocytosis: a team effort

Transmembrane proteins destined to endosomes are selectively accumulated in clathrin-coated pits at the plasma membrane and rapidly internalized in clathrin-coated vesicles. The recognition of specific sequence motifs in transmembrane cargo by coated-pit proteins confers specificity on the endocytic process. Interaction of membrane cargo with the clathrin adaptor protein complex AP-2 is the major mechanism of cargo sorting into coated pits in mammalian cells. Recent studies have revealed a variety of alternative mechanisms of cargo recruitment involving additional adaptor proteins. These alternative mechanisms appear to be particularly important during clathrin-mediated endocytosis of signaling receptors.     

Design of RNA-binding proteins and ligands

The rapidly expanding database of RNA structures and protein complexes is beginning to lead to the successful design of specific RNA-binding molecules. Recent combinatorial and structure-based approaches have utilized known nucleic-acid-binding scaffolds from both proteins and small molecules to display a relatively small set of functional groups often used in protein--RNA recognition. Several studies have shown that the tethering of multiple binding modules can enhance RNA-binding affinity and specificity, a strategy also commonly used in DNA recognition.     

Sticky fingers: zinc-fingers as protein-recognition motifs

Zinc-fingers (ZnFs) are extremely abundant in higher eukaryotes. Once considered to function exclusively as sequence-specific DNA-binding motifs, ZnFs are now known to have additional activities such as the recognition of RNA and other proteins. Here we discuss recent advances in our understanding of ZnFs as specific modules for protein recognition. Structural studies of ZnF complexes reveal considerable diversity in terms of protein partners, binding modes and affinities, and highlight the often underestimated versatility of ZnF structure and function. An appreciation of the structural features of ZnF-protein interactions will contribute to our ability to engineer and to use ZnFs with tailored protein-binding properties.     

Themes in RNA-protein recognition.

Atomic resolution structures are now available for more than 20 complexes of proteins with specific RNAs. This review examines two main themes that appear in this set of structures. A "groove binder" class of proteins places a protein structure (alpha-helix, 310-helix, beta-ribbon, or irregular loop) in the groove of an RNA helix, recognizing both the specific sequence of bases and the shape or dimensions of the groove, which are sometimes distorted from the normal A-form. A second class of proteins uses beta-sheet surfaces to create pockets that examine single-stranded RNA bases. Some of these proteins recognize completely unstructured RNA, and in others RNA secondary structure indirectly promotes binding by constraining bases in an appropriate orientation. Thermodynamic studies have shown that binding specificity is generally a function of several factors, including base-specific hydrogen bonds, non-polar contacts, and mutual accommodation of the protein and RNA-binding surfaces. The recognition strategies and structural frameworks used by RNA binding proteins are not exotically different from those employed by DNA-binding proteins, suggesting that the two kinds of nucleic acid-binding proteins have not evolved independently.     

Phosphatidylserine recognition by phagocytes: a view to a kill

The redistribution of phosphatidylserine (PS) to the external surface of the plasma membrane is a key element of apoptotic cell recognition and is a molecular cue that dying cells should be engulfed. Phagocytes interact with PS on apoptotic cells through either the PS receptor or secreted bridging proteins called opsonins. The study of two secreted PS opsonins, MFG-E8 and Gas6 and their receptors alphavbeta5 (and alphavbeta3) integrin and Mer tyrosine kinase, respectively, have provided insights into the temporal and spatial aspects of Rac1 activation following the recognition and internalization of apoptotic cells. Disruption of PS opsonins and their signaling pathways often manifest conditions of inflammation and autoimmune disease. Here, we review recent studies involving PS opsonins, their receptors and their role in the phagocytosis of apoptotic cells.     

The neuroecology of competitor recognition

Territorial animals can be expected to distinguish among the types of competitors and noncompetitors that they encounter on a regular basis, including prospective mates and rivals of their own species, but they may not correctly classify individuals of other species. Closely related species often have similar phenotypes and this can cause confusion when formerly allopatric populations first come into contact. Errors in recognizing competitors can have important ecological and evolutionary effects. I review what is known about the mechanisms of competitor recognition in animals generally, focusing on cases in which the targets of recognition include other species. Case studies include damselflies, ants, skinks, salamanders, reef fishes, and birds. In general, recognition systems consist of a phenotypic cue (e.g., chemical, color, song), a neural template against which cues are compared, a motor response (e.g., aggression), and sensory integration circuits for context dependency of the response (if any). Little is known about how competitor recognition systems work at the neural level, but inferences about specificity of cues and about sensory integration can be drawn from the responses of territory residents to simulated intruders. Competitor recognition often involves multiple cues in the same, or different, sensory modalities. The same cues and templates are often, but not always, used for intraspecific and interspecific recognition. Experiments have shown that imprinting on local cues is common, which may enable templates to track evolved changes in cues automatically. The dependence of aggression and tolerance on context is important even in the simplest systems. Species in which mechanisms of competitor recognition are best known offer untapped opportunities to examine how competitor-recognition systems evolve (e.g., by comparing allopatric and sympatric populations). Cues that are gene products (peptides, proteins) may provide insights into rates of evolution. There are many avenues for further research on the important but understudied question of how animals recognize competitors.     

Towards developing a protein infrared spectra databank (PISD) for proteomics research

Fourier transform infrared (FTIR) spectroscopy is an attractive tool for proteomics research as it can be used to rapidly characterize protein secondary structure in aqueous solution. Recently, a number of secondary structure prediction methods based on reference sets of FTIR spectra from proteins with known structure from X-ray crystallography have been suggested. These prediction methods, often referred to as pattern recognition based approaches, demonstrated good prediction accuracy using some error measure, e.g., the standard error of prediction (SEP). However, to avoid possible adverse effects from differences in recording, the analysis has been mostly based on reference sets of FTIR spectra from proteins recorded in one laboratory only. As a result, these studies were based on reference sets of FTIR spectra from a limited number of proteins. Pattern recognition based approaches, however, rely on reference sets of FTIR spectra from as many proteins as possible representing all possible band shape variation to be related to the diversity of protein structural classes. Hence, if we want to build reliable pattern recognition based systems to support proteomics research, which are capable of making good predictions from spectral data of any unknown protein, one common goal should be to build a comprehensive protein infrared spectra databank (PISD) containing FTIR spectra of proteins of known structure. We have started the process of developing a comprehensive PISD composed of spectra recorded in different laboratories. As part of this work, here we investigate possible effects on prediction accuracy achieved by a neural network analysis when using reference sets composed of FTIR spectra from different laboratories. Surprisingly low magnitude of difference in SEPs throughout all our experiments suggests that FTIR spectra recorded in different laboratories may be safely combined into one reference set with only minor deterioration of prediction accuracy in the worst case.     

Siglecs--the major subfamily of I-type lectins

Animal glycan-recognizing proteins can be broadly classified into two groups-lectins (which typically contain an evolutionarily conserved carbohydrate-recognition domain [CRD]) and sulfated glycosaminoglycan (SGAG)-binding proteins (which appear to have evolved by convergent evolution). Proteins other than antibodies and T-cell receptors that mediate glycan recognition via immunoglobulin (Ig)-like domains are called "I-type lectins." The major homologous subfamily of I-type lectins with sialic acid (Sia)-binding properties and characteristic amino-terminal structural features are called the "Siglecs" (Sia-recognizing Ig-superfamily lectins). The Siglecs can be divided into two groups: an evolutionarily conserved subgroup (Siglecs-1, -2, and -4) and a CD33/Siglec-3-related subgroup (Siglecs-3 and -5-13 in primates), which appear to be rapidly evolving. This article provides an overview of historical and current information about the Siglecs.     

Upstream of N-Ras C-terminal cold shock domains mediate poly(A) specificity in a novel RNA recognition mode and bind poly(A) binding protein

RNA binding proteins (RBPs) often engage multiple RNA binding domains (RBDs) to increase target specificity and affinity. However, the complexity of target recognition of multiple RBDs remains largely unexplored. Here we use Upstream of N-Ras (Unr), a multidomain RBP, to demonstrate how multiple RBDs orchestrate target specificity. A crystal structure of the three C-terminal RNA binding cold-shock domains (CSD) of Unr bound to a poly(A) sequence exemplifies how recognition goes beyond the classical ππ-stacking in CSDs. Further structural studies reveal several interaction surfaces between the N-terminal and C-terminal part of Unr with the poly(A)-binding protein (pAbp). All interactions are validated by mutational analyses and the high-resolution structures presented here will guide further studies to understand how both proteins act together in cellular processes.     

Perspectives on protein evolution from simple exact models

Understanding the evolution of biopolymers is important to rationalise the directed and undirected design of functional molecules. Large scale experiments or detailed computational studies are often impractical. Therefore, simple model systems, such as RNA secondary structure and lattice proteins have been adapted to study general statistical and topological features of genotype (sequence) to phenotype (structure) maps. We review findings from such models that address aspects of thermodynamic and mutational robustness, neutral evolution and recombination of proteins. We compare various modelling approaches, and discuss their generality, parameter dependency and experimental verifications of their predictions. The most striking observation is the universal emergence of neutral nets--sets of phenotypically identical genotypes that are interconnected by series of point mutations. However, fast adaptation by point mutations appears to be problematic for proteins. This may explain why proteins appear to be more specific while RNA is rather versatile. This could even be the reason why RNA had to evolve before proteins. Similar principles of biological organisation are reflected in sequence and structure databases of real proteins. Insights gained from modelling are useful for designing more efficient database organisation and search strategies.     

Use of synthetic signal sequences to explore the protein export machinery

The information for correct localization of newly synthesized proteins in both prokaryotes and eukaryotes resides in self-contained, often transportable targeting sequences. Of these, signal sequences specify that a protein should be secreted from a cell or incorporated into the cytoplasmic membrane. A central puzzle is presented by the lack of primary structural homology among signal sequences, although they share common features in their sequences. Synthetic signal peptides have enabled a wide range of studies of how these "zipcodes" for protein secretion are decoded and used to target proteins to the protein machinery that facilitates their translocation across and integration into membranes. We review research on how the information in signal sequences enables their passenger proteins to be correctly and efficiently localized. Synthetic signal peptides have made possible binding and crosslinking studies to explore how selectivity is achieved in recognition by the signal sequence-binding receptors, signal recognition particle, or SRP, which functions in all organisms, and SecA, which functions in prokaryotes and some organelles of prokaryotic origins. While progress has been made, the absence of atomic resolution structures for complexes of signal peptides and their receptors has definitely left many questions to be answered in the future.     

Eukaryotic DNA mismatch repair

Eukaryotic mismatch repair (MMR) has been shown to require two different heterodimeric complexes of MutS-related proteins: MSH2-MSH3 and MSH2-MSH6. These two complexes have different mispair recognition properties and different abilities to support MMR. Alternative models have been proposed for how these MSH complexes function in MMR. Two different heterodimeric complexes of MutL-related proteins, MLH1-PMS1 (human PMS2) and MLH1-MLH3 (human PMS1) also function in MMR and appear to interact with other MMR proteins including the MSH complexes and replication factors. A number of other proteins have been implicated in MMR, including DNA polymerase delta, RPA (replication protein A), PCNA (proliferating cell nuclear antigen), RFC (replication factor C), Exonuclease 1, FEN1 (RAD27) and the DNA polymerase delta and epsilon associated exonucleases. MMR proteins have also been shown to function in other types of repair and recombination that appear distinct from MMR. MMR proteins function in these processes in conjunction with components of nucleotide excision repair (NER) and, possibly, recombination.     

Surface characteristics of foreign targets that elicit an encapsulation response by the moth Pseudoplusia includens

Hemocytes from the moth Pseudoplusia includens encapsulate a variety of biotic and abiotic targets. Prior studies indicated that granular cells are usually the first hemocyte type to attach to foreign targets. Thereafter, large numbers of plasmatocytes attach to the target and form a capsule. To identify surface features that induce an encapsulation response, chromatography beads that differed in matrix composition, charge, and functional groups were tested using in vitro and in vivo bioassays. We first conducted in vitro assays using hemocytes with no plasma components present. These experiments indicated that bead types having sulfonic, diethylaminoethyl, and quaternary amine functional groups were encapsulated significantly more often than beads with other functional groups. Charge also significantly affected encapsulation with positively charged beads being encapsulated more often than negatively charged or neutral beads. In vitro assays using purified populations of hemocytes confirmed that these targets were recognized as foreign by granular cells, and that plasmatocytes only formed capsules after granular cells attached to the target. Bead types that were encapsulated under these in vitro conditions were always rapidly encapsulated when injected into P. includens larvae. However, some bead types, like CM-Sephadex, not encapsulated in vitro were encapsulated in vivo if left in the insect hemocoel for a longer period of time (ca. 24 h). Purified plasmatocytes encapsulated these beads in vitro if they were preincubated in plasma. Basic characterization studies suggest these humoral recognition molecules are proteins or small peptides. Comparative studies with other species of noctuid moths also indicated that encapsulation of some bead types differed significantly among species. Collectively, these results reveal that P. includens recognizes some targets as foreign by pattern recognition receptors on granular cells, whereas others are recognized by pattern recognition molecules in plasma. The binding affinities of these recognition molecules also appear to differ among closely related species of Lepidoptera.