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[The effect of substance P on functional proteins in human neutrophil].

OBJECTIVE: To explore the effect of substance P (SP) on the functional proteins on plasma membrane of neutrophil (Np). METHOD: The response of Np to SP was examined by measuring the level of respiratory burst, the activities of ACP and ALP, the fluoroscopy intensity of CR3, CD45 and FM-LP. RESULTS: It was found that SP could increase respiratory burst of Np, decrease the activity of acid phosphatase (ACP), but had no effect on alkaline phosphatase (ALP). SP could also promote the amount of CD45, complement receptor type 3 (CR3) and N-Formyl-Met-Leu-Phe (FMLP) receptors. CONCLUSION: The results showed that the effects of SP on functional proteins in human Np membrane were universality and diversity. It implied that SP could affect various inflammation responses in Np.

Acid Phosphatase↗

Coupling protein stability and protein function in Escherichia coli CspA.

BACKGROUND: CspA is a small protein that binds single-stranded RNA and DNA. The binding site of CspA consists of a cluster of aromatic amino acids, which form an unusually large nonpolar patch on the surface of the protein. Because nonpolar residues are generally found in the interiors of proteins, this cluster may have evolved to bind nucleic acids at the expense of protein stability. RESULTS: Three neighboring phenylalanines have been mutated singly and in combination to leucine and to serine. All mutations adversely affect DNA binding. Surprisingly, all mutations, and especially those to serine, are destabilizing. CONCLUSIONS: The aromatic cluster in CspA is required not only for protein function but also for protein stability. This result is pertinent to the design of beta-sheet proteins and single-stranded nucleic acid binding proteins, whose binding mode is proposed to be of aromatic-aromatic intercalation.

Bacterial Proteins↗

Proteolytic destruction of functional proteins by phagocytes in human peritonitis.

BACKGROUND: Besides phagocyte-derived oxidative autoaggression, proteolytic destruction of functional proteins in the peritoneal cavity may also be involved in the pathomechanism of secondary peritonitis. To evaluate the pattern of proteolysis, 43 patients undergoing initial operation for acute peritonitis (n = 30) or scheduled abdominal lavages (Etappenlavage) for resolution of persistent peritonitis (n = 13) and 16 surgical patients with abdominal exudation without peritonitis were enrolled in our study. MATERIALS AND METHODS: Thirty blood samples and purulent exudates were taken simultaneously in each peritonitis group at the surgical interventions. Sixteen clear exudates were obtained from patients with post-operative non-infectious irritations. The following parameters were measured: (a) elastase (from neutrophils) and cathepsin B (from monocytes/macrophages); (b) alpha1-proteinase inhibitor (alpha1PI) and overall cysteine proteinase inhibitor capacity; and (c) opsonic activity and degradation products of fibrinogen, complement C3 and immunoglobulin IgG. RESULTS: Circulating levels of phagocyte proteinases and of alpha1PI were significantly elevated, whereas antigen concentrations and opsonic activity of C3 and IgG were slightly reduced in peritonitis patients compared to healthy volunteers. No degradation products were detectable in patients' blood. Discharge of phagocyte proteinases was even more pronounced in both types of peritonitis exudates. Although most of the elastase was complexed with alpha1PI, active elastase and its specific fibrinogen split product was found along with significantly reduced inhibitory capacity for elastase and cysteine proteinases. Local opsonic activity was dramatically diminished because of proteolytic degradation of C3 and IgG. Despite some phagocyte proteinase release, no destruction of functional proteins was seen in clear exudates. CONCLUSIONS: Higher values of extracellularly released phagocyte proteinases concomitant with lower opsonin activity in exudates from patients with persistent peritonitis can be taken as a further hint of the involvement of local proteolysis-induced pathomechanisms in the development of lethal multiple organ failure, which occurred more frequently in patients with persistent peritonitis (54%) than in those with acute peritonitis (27%).

Adolescent↗

Designer zinc finger proteins: tools for creating artificial DNA-binding functional proteins.

The design of artificial functional DNA-binding proteins has long been a goal for several research laboratories. The zinc finger proteins, which typically contain many fingers linked in tandem fashion, are some of the most studied DNA-binding proteins. The zinc finger protein's tandem arrangement and its the ability to recognize a wide variety of DNA sequences make it an attractive framework to design novel DNA-binding peptides/proteins. Our laboratory has utilized several design strategies to create novel zinc finger peptides by re-engineering the C(2)H(2)-type zinc finger motif of transcription factor Sp1. Some of the engineered zinc fingers have shown nuclease and catalytic functional properties. Based on these results, we present the design strategies for the creation of novel zinc fingers.

Base Sequence↗

Conditional control of protein function.

Deciphering the myriad ways in which proteins interact with each other to give rise to complex behaviors that define living systems is a significant challenge. Using perturbations of DNA, genetic analyses have provided many insights into the functions of proteins encoded by specific genes. However, it can be difficult to study essential genes using these approaches, and many biological processes occur on a fast timescale that precludes study using genetic methods. For these reasons and others, it is often desirable to target proteins directly rather than the genes that encode them. Over the past 20 years, several methods to regulate protein function have been developed. In this review, we discuss the genesis and use of these methods, with particular emphasis on the elements of specificity, speed, and reversibility.

Animals↗

Efficient and stable display of functional proteins on bacterial magnetic particles using mms13 as a novel anchor molecule.

Magnetic particles are increasingly used for various biomedical applications because they are easy to handle and separate from biological samples. In this work, a novel anchor molecule was used for targeted protein display onto magnetic nanoparticles. The magnetic bacterium Magnetospirillum magneticum AMB-1 synthesizes intracellular bacterial magnetic particles (BMPs) covered with a lipid bilayer membrane. In our recent research, an integral BMP membrane protein, Mms13, was isolated and used as an anchor molecule to display functional proteins onto BMPs. The anchoring properties of Mms13 were confirmed by luciferase fusion studies. The C terminus of Mms13 was shown to be expressed on the surface of BMPs, and Mms13 was bound to magnetite directly and tightly permitting stable localization of a large protein, luciferase (61 kDa), on BMPs. Consequently, luminescence intensity obtained from BMPs using Mms13 as an anchor molecule was >400 or 1,000 times higher than Mms16 or MagA, which previously were used as anchor molecules. Furthermore, the immunoglobulin G-binding domain of protein A (ZZ) was displayed uniformly on BMPs using Mms13, and antigen was detected by transmission electron microscopy using antibody-labeled gold nanoparticles on a single BMP displaying the ZZ-antibody complex. The results of this study demonstrated the utility of Mms13 as a molecular anchor, which will facilitate the assembly of other functional proteins onto BMPs in the near feature.

Amino Acid Sequence↗

Accelerated discovery of novel protein function in cultured human cells.

Experimental approaches that enable direct investigation of human protein function are necessary for comprehensive annotation of the human proteome. We introduce a cell-based platform for rapid and unbiased functional annotation of undercharacterized human proteins. Utilizing a library of antibody biomarkers, the full-length proteins are investigated by tracking phenotypic changes caused by overexpression in human cell lines. We combine reverse transfection and immunodetection by fluorescence microscopy to facilitate this procedure at high resolution. Demonstrating the advantage of this approach, new annotations are provided for two novel proteins: 1) a membrane-bound O-acyltransferase protein (C3F) that, when overexpressed, disrupts Golgi and endosome integrity due likely to an endoplasmic reticulum-Golgi transport block and 2) a tumor marker (BC-2) that prompts a redistribution of a transcriptional silencing protein (BMI1) and a mitogen-activated protein kinase mediator (Rac1) to distinct nuclear regions that undergo chromatin compaction. Our strategy is an immediate application for directly addressing those proteins whose molecular function remains unknown.

Biomarkers↗

Protein function from sequence and structure data.

With the large amount of genomics and proteomics data that we are confronted with, computational support for the elucidation of protein function becomes more and more pressing. Many different kinds of biological data harbour signals of protein function, but these signals are often concealed. Computational methods that use protein sequence and structure data can be used for discovering these signals. They provide information that can substantially speed up experimental function elucidation. In this review we concentrate on such methods.

Amino Acid Sequence↗

Prediction of protein function and pathways in the genome era.

The growing number of completely sequenced genomes adds new dimensions to the use of sequence analysis to predict protein function. Compared with the classical knowledge transfer from one protein to a similar sequence (homology-based function prediction), knowledge about the corresponding genes in other genomes (orthology-based function prediction) provides more specific information about the protein's function, while the analysis of the sequence in its genomic context (context-based function prediction) provides information about its functional context. Whereas homology-based methods predict the molecular function of a protein, genomic context methods predict the biological process in which it plays a role. These complementary approaches can be combined to elucidate complete functional networks and biochemical pathways from the genome sequence of an organism. Here we review recent advances in the field of genomic-context based methods of protein function prediction. Techniques are highlighted with examples, including an analysis that combines information from genomic-context with homology to predict a role of the RNase L inhibitor in the maturation of ribosomal RNA.

ATP-Binding Cassette Transporters↗

Development of a plasmid display system using GAL4 DNA binding domain for the in vitro screening of functional proteins.

A plasmid display system using GAL4 DNA binding domain (GAL4 DBD) was constructed to enrich the molecular diversity and in vitro selection of functional proteins. Model proteins used were enhanced green fluorescent protein (EGFP) and glutathione S-transferase (GST). The feasibility of this display system was examined using enrichment experiments of target protein from a model protein mixture and identifying the encoding genes by PCR, in which the model protein mixture includes GAL4 DBD/GST fusion protein, GAL4 DBD/EGFP fusion protein, and xylanase. Target proteins of GAL4 DBD/GST and GAL4 DBD/EGFP from the model protein mixture were efficiently isolated by the plasmid display, respectively. The results show that the display system is sufficiently sensitive to select a target protein from a protein mixture, and that it is possible to discover the functional proteins from large libraries using relatively simple approaches.

Cloning, Molecular↗

Sequence- and structure-based protein function prediction from genomic information.

Existing functional annotation transfer is fraught with inaccuracies that may hinder forward interpretation and mining of genomic data. Hand-curation of the annotation placed into databases is not practical. In lieu of experimental evidence, computational biological approaches offer high-throughput tools to predict function accurately; however, these methods are still notably deficient in defining and describing the complexity of protein function. Enriching genomic sequences obtained from sequencing efforts and expression array methods with protein function information and classification will be an efficient first step for incorporating genomic data into drug discovery programs.

Computational Biology↗

Emerging tools for real-time label-free detection of interactions on functional protein microarrays.

The availability of extensive genomic information and content has spawned an era of high-throughput screening that is generating large sets of functional genomic data. In particular, the need to understand the biochemical wiring within a cell has introduced novel approaches to map the intricate networks of biological interactions arising from the interactions of proteins. The current technologies for assaying protein interactions--yeast two-hybrid and immunoprecipitation with mass spectrometric detection--have met with considerable success. However, the parallel use of these approaches has identified only a small fraction of physiologically relevant interactions among proteins, neglecting all nonprotein interactions, such as with metabolites, lipids, DNA and small molecules. This highlights the need for further development of proteome scale technologies that enable the study of protein function. Here we discuss recent advances in high-throughput technologies for displaying proteins on functional protein microarrays and the real-time label-free detection of interactions using probes of the local index of refraction, carbon nanotubes and nanowires, or microelectromechanical systems cantilevers. The combination of these technologies will facilitate the large-scale study of protein interactions with proteins as well as with other biomolecules.

Animals↗

The 'magic tail' of G protein-coupled receptors: an anchorage for functional protein networks.

All cell types express a great variety of G protein-coupled receptors (GPCRs) that are coupled to only a limited set of G proteins. This disposition favors cross-talk between transduction pathways. However, GPCRs are organized into functional units. They promote specificity and thus avoid unsuitable cross-talk. New methodologies (mostly yeast two-hybrid screens and proteomics) have been used to discover more than 50 GPCR-associated proteins that are involved in building these units. In addition, these protein networks participate in the trafficking, targeting, signaling, fine-tuning and allosteric regulation of GPCRs. To date, proteins that interact with the GPCR C-terminus are the most abundant and are the focus of this review.

Allosteric Regulation↗

Viewing the proteome from oligopeptides and prediction of protein function.

Our research activity of making the lexicon of relatively short oligopeptides has been one of the first steps to view the world of proteome from the perspective of oligopeptides. We propose a new method for the prediction of protein function, especially GeneOntology terms (GO terms), based on statistical characteristics of oligopeptides as an application of the lexicon. In the lexicon, a known function of a protein is inherited to its oligopeptides, and the correspondence between oligopeptides and the function is calculated in the whole proteins. In our method, unknown functions of proteins are predicted by means of the correspondence automatically. We measured the prediction performance using the 28,520 whole human proteins registered in RefSeq for several GO terms by recall-precision graphs. The GO terms include 'membrane', 'nucleus', 'ATP binding', 'hydorolase activity', 'GTP binding', 'intracellular signaling cascade' and 'ubiquitin cycle'. In most cases, it scores 70% recall with 80% precision. The prediction for ATP binding and GTP binding results in quite high performance: it scores 80% recall with 80% precision. Even in the worst case (ubiquitin cycle), it scores 62.6% recall with 80% precision. These results suggest that the proposed method is quite efficient for predicting GO terms.

Computational Biology↗

Disulfide bonds: key to wheat protein functionality.

Disulfide bonds in wheat proteins are major factors that determine the properties of the proteins and their functionality in wheat flour. The gliadin proteins contain mostly intramolecular disulfide bonds. In contrast, the high-molecular-weight glutenins are formed by disulfide linkages of several diverse polypeptide chains which have been separated and characterized. The linkage of these proteins in a fairly linear array contributes to the unique viscoelastic properties of glutenin. The glutenin has been separated into two fractions differing in molecular weight. The amount of highest molecular weight component is correlated with the rheological behavior of the flours from different wheat varieties. Various oxidizing and reducing agents are widely used to alter the functional behavior of wheat proteins by the action on sulfhydryl and disulfide groups.

Amino Acids↗

Recent advances in the understanding of HIV-1 Vpu accessory protein functions.

HIV-1 encodes a number of accessory proteins, which are not commonly found in other retroviruses. These proteins, which include Vif, Vpr, Vpu and Nef, act as multifunctional adapters capable of recruiting and modulating basic host cell processes to optimize wide-ranging aspects of viral replication. This review describes our current understanding of how the Vpu accessory protein functions to modulate HIV-1 particle release and CD4 receptor expression during HIV-1 infection and underlines the potential opportunities afforded by this viral protein for therapeutic intervention.

Amino Acid Sequence↗

Accumulation of species-specific amino acid replacements that cause loss of particular protein functions in Buchnera, an endocellular bacterial symbiont.

Endosymbiotic bacteria live in animal cells and are transmitted vertically at the time of the host's reproduction. In view of their small and asexual populations with infrequent chances of recombination, these endocellular bacteria are expected to accumulate mildly deleterious mutations. Previous studies showed that the DNA sequences of these bacteria evolved faster than those of free-living bacteria. In this study, we compared all the ORFs of Buchnera, an endocellular bacterial symbiont of aphids, with those of 34 other prokaryotic organisms and estimated the effect of the accelerated evolution of Buchnera on the functions of its proteins. It was revealed that Buchnera proteins contain many mutations at the sites where sequences are conserved in their orthologues in many other organisms. In addition, amino acid replacements at the conserved sites are mostly changes to physicochemically different amino acids. These results suggest that functions and conformations of Buchnera proteins have been seriously impaired or strongly modified. Indeed, extensive loss of functional motifs was observed in some Buchnera proteins. In many Buchnera proteins mutations were not detected evenly throughout each molecule but tended to accumulate in some functional units, possibly leading to loss of specific functions. As Buchnera has an unusual and limited gene repertory, it is conceivable that the manner of interactions among its proteins has been changed, and thus, functional constraints over their amino acid residues have also been changed during evolution. This may account for the loss of some functional units only in the Buchnera proteins. We obtained evidence that amino acid replacements in Buchnera were not always deleterious, but neutral or, in some cases, even positively selected.

Amino Acid Motifs↗

Modular Photoswitchable Molecular Glues for Chemo-Optogenetic Control of Protein Function in Living Cells.

Optogenetic systems using photosensitive proteins and chemically induced dimerization/proximity (CID/CIP) approaches enabled by chemical dimerizers (also termed molecular glues), are powerful tools to elucidate the dynamics of biological systems and to dissect complex biological regulatory networks. Here, we report a versatile chemo-optogenetic system using modular, photoswitchable molecular glues (sMGs) that can undergo repeated cycles of optical control to switch protein function on and off. We use molecular dynamics (MD) simulations to rationally design the sMGs and further expand their scope by incorporating different photoswitches, resulting in sMGs with customizable properties. We demonstrate that this system can be used to reversibly control protein localization, organelle positioning, protein-fragment complementation as well as posttranslational protein levels by light with high spatiotemporal precision. This system enables sophisticated optical manipulation of cellular processes and thus opens up a new avenue for chemo-optogenetics.

Optogenetics↗