Natural intracellular peptides can modulate the interactions of mouse brain proteins and thimet oligopeptidase with 14-3-3e and calmodulin

Protein interactions are crucial for most cellular process. Thus, rationally designed peptides that act as competitive assembly inhibitors of protein interactions by mimicking specific, determined structural elements have been extensively used in clinical and basic research. Recently, mammalian cells have been shown to contain a large number of intracellular peptides of unknown function. Here, we investigate the role of several of these natural intracellular peptides as putative modulators of protein interactions that are related to Ca2+-calmodulin (CaM) and 14-3-3 epsilon, which are proteins that are related to the spatial organization of signal transduction within cells. At concentrations of 1-50 mu M, most of the peptides that are investigated in this study modulate the interactions of CaM and 14-3-3 epsilon with proteins from the mouse brain cytoplasm or recombinant thimet oligopeptidase (EP24.15) in vitro, as measured by surface plasmon resonance. One of these peptides (VFDVELL; VFD-7) increases the cytosolic Ca2+ concentration in a dose-dependent manner but only if introduced into HEK293 cells, which suggests a wide biological function of this peptide. Therefore, it is exciting to suggest that natural intracellular peptides are novel modulators of protein interactions and have biological functions within cells.

The functional and structural interactions between v-{\it mos\/} proteins and cell cycle control elements

The v-mos gene of Moloney murine sarcoma virus (Mo-MuSv) encodes a serine/threonine protein kinase capable of inducing cellular transformation. The c-mos protein is an important cell cycle regulator that functions during meiotic cell division cycles in germ cells. The overall function of c-mos in controlling meiosis is becoming better understood but the role of v-mos in malignant transformation of cells is largely unknown.^ In this study, v-mos protein was shown to be phosphorylated by M phase kinase in vitro and in vivo. The kinase activity and neoplastic transforming ability of v-mos is positively regulated by the phosphorylation. Together with the earlier finding of activation of M phase kinase by c-mos, these results raise the possibility of mutual regulation between M phase kinase and mos kinases.^ In addition to its functional interaction with the M phase kinase, the v-mos protein was shown to be present in the same protein complex with a cyclin-dependent kinase (cdk). In addition, an antibody that recognizes the cdk proteins was shown to co-precipitate the v-mos proteins in the interphase and mitotic cells transformed by p85$\sp{\rm gag-mos}$. Cdk proteins have been shown to be associated with nonmitotic cyclins which are potential oncogenes. The perturbation of cdk kinase or the activation of non-mitotic cyclins as oncogenes by v-mos could contribute directly to v-mos induced cellular transformation. v-mos proteins were also shown to interact with tubulin and vimentin, the essential components of microtubules and type IV intermediate filaments, respectively. The organizations of both microtubules and intermediate filaments are cell cycle-regulated. These results suggest that the v-mos kinase could be directly involved in inducing morphological changes typically seen in transformed cells.^ The interactions between the v-mos protein and these cell cycle control elements in regards to v-mos induced neoplastic transformation are discussed in detail in the text. ^

Analysis of albumin-associated peptides and proteins from ovarian cancer patients

Albumin binds low–molecular-weight molecules, including proteins and peptides, which then acquire its longer half-life, thereby protecting the bound species from kidney clearance. We developed an experimental method to isolate albumin in its native state and to then identify [mass spectrometry (MS) sequencing] the corresponding bound low–molecular-weight molecules. We used this method to analyze pooled sera from a human disease study set (high-risk persons without cancer, n= 40; stage I ovarian cancer, n = 30; stage III ovarian cancer, n = 40) to demonstrate the feasibility of this approach as a discovery method. Methods Albumin was isolated by solid-phase affinity capture under native binding and washing conditions. Captured albumin-associated proteins and peptides were separated by gel electrophoresis and subjected to iterative MS sequencing by microcapillary reversed-phase tandem MS. Selected albumin-bound protein fragments were confirmed in human sera by Western blotting and immunocompetition. Results In total, 1208 individual protein sequences were predicted from all 3 pools. The predicted sequences were largely fragments derived from proteins with diverse biological functions. More than one third of these fragments were identified by multiple peptide sequences, and more than one half of the identified species were in vivo cleavage products of parent proteins. An estimated 700 serum peptides or proteins were predicted that had not been reported in previous serum databases. Several proteolytic fragments of larger molecules that may be cancer-related were confirmed immunologically in blood by Western blotting and peptide immunocompetition. BRCA2, a 390-kDa low-abundance nuclear protein linked to cancer susceptibility, was represented in sera as a series of specific fragments bound to albumin. Conclusion Carrier-protein harvesting provides a rich source of candidate peptides and proteins with potential diverse tissue and cellular origins that may reflect important disease-related information.

Large-scale interlaboratory study to develop, analytically validate and apply highly multiplexed, quantitative peptide assays to measure cancer-relevant proteins in plasma

There is an increasing need in biology and clinical medicine to robustly and reliably measure tens-to-hundreds of peptides and proteins in clinical and biological samples with high sensitivity, specificity, reproducibility and repeatability. Previously, we demonstrated that LC-MRM-MS with isotope dilution has suitable performance for quantitative measurements of small numbers of relatively abundant proteins in human plasma, and that the resulting assays can be transferred across laboratories while maintaining high reproducibility and quantitative precision. Here we significantly extend that earlier work, demonstrating that 11 laboratories using 14 LC-MS systems can develop, determine analytical figures of merit, and apply highly multiplexed MRM-MS assays targeting 125 peptides derived from 27 cancer-relevant proteins and 7 control proteins to precisely and reproducibly measure the analytes in human plasma. To ensure consistent generation of high quality data we incorporated a system suitability protocol (SSP) into our experimental design. The SSP enabled real-time monitoring of LC-MRM-MS performance during assay development and implementation, facilitating early detection and correction of chromatographic and instrumental problems. Low to sub-nanogram/mL sensitivity for proteins in plasma was achieved by one-step immunoaffinity depletion of 14 abundant plasma proteins prior to analysis. Median intra- and inter-laboratory reproducibility was <20%, sufficient for most biological studies and candidate protein biomarker verification. Digestion recovery of peptides was assessed and quantitative accuracy improved using heavy isotope labeled versions of the proteins as internal standards. Using the highly multiplexed assay, participating laboratories were able to precisely and reproducibly determine the levels of a series of analytes in blinded samples used to simulate an inter-laboratory clinical study of patient samples. Our study further establishes that LC-MRM-MS using stable isotope dilution, with appropriate attention to analytical validation and appropriate quality c`ontrol measures, enables sensitive, specific, reproducible and quantitative measurements of proteins and peptides in complex biological matrices such as plasma.

Antigen and superantigen presentation as defined by the MHCII-accessory proteins and associated-peptides

MHCII molecules expose a weave of antigens, which send survival or activation signals to T lymphocytes. The ongoing process of peptide binding to the MHC class II groove implicates three accessory molecules: the invariant chain, DM and DO. The invariant chain folds and directs the MHCII molecules to the endosomal pathway. Then, DM exchanges the CLIP peptide, which is a remnant of the degraded invariant chain, for peptides of better affinity. Expressed in highly specialized antigen presenting cells, DO competes with MHCII molecules for DM binding and favors the presentation of receptor-internalized antigens. Altogether, these molecules exhibit potential immunomodulatory properties that can be exploited to increase the potency of peptide vaccines. DO requires DM for maturation and to exit the ER. Interestingly, it is possible to monitor this interaction through a conformation change on DOβ that is recognized by the Mags.DO5 monoclonal antibody. Using Mags.DO5, we showed that DM stabilizes the interactions between the DO α1 and β1 chains and that DM influences DO folding in the ER. Thus, the Mags.DO5+ conformation correlates with DO egress from the ER. To further evaluate this conformation change, directed evolution was applied to DO. Of the 41 unique mutants obtained, 25% were localized at the DM-DO binding interface and 12% are at the solvent-exposed β1 domain, which is thought to be the Mags.DO5 epitope. In addition, I used the library to test the ability of HLA-DO to inhibit HLA-DM and sorted for the amount of CLIP. Interestingly, most of the mutants showed a decrease inhibitory effect, supporting the notion that the intrinsic instability of DO is a required for its function. Finally, these results support the model in which DO competes against classical MHCII molecules by sequestering DM chaperone’s function. MHCII molecules are also characterized by their ability to present superantigens, a group of bacterial or viral toxins that coerces MHCII-TCR binding in a less promiscuous fashion than what is observed in a canonical setting. While the mechanism of how bacterial superantigens form trimeric complexes with TCR and MHCII is well understood, the mouse mammary tumor virus superantigens (vSAG) are poorly defined. In the absence of a crystal structure, I chose a functional approach to examine the relation between vSAG, MHCII and TCR with the goal of uncovering the overall trimolecular architecture. I showed that TCR concomitantly binds both the MHCII α chain and the vSAG and that TCR-MHCII docking is almost canonical when coerced by vSAGs. Because many peptides may be tolerated in the MHCII groove, the pressure exerted by vSAG seems to tweak conventional TCR-MHCII interactions. Furthermore, my results demonstrate that vSAG binding to MHCII molecules is conformation-dependent and abrogated by the CLIP amino-terminal residues extending outside the peptide-binding groove. In addition, they also suggest that vSAGs cross-link adjacent MHCIIs and activate T cells via a TGXY motif.

Enhancing predictive accuracy of cardiac autonomic neuropathy using blood biochemistry features and iterative multitier ensembles

Blood biochemistry attributes form an important class of tests, routinely collected several times per year for many patients with diabetes. The objective of this study is to investigate the role of blood biochemistry for improving the predictive accuracy of the diagnosis of cardiac autonomic neuropathy (CAN) progression. Blood biochemistry contributes to CAN, and so it is a causative factor that can provide additional power for the diagnosis of CAN especially in the absence of a complete set of Ewing tests. We introduce automated iterative multitier ensembles (AIME) and investigate their performance in comparison to base classifiers and standard ensemble classifiers for blood biochemistry attributes. AIME incorporate diverse ensembles into several tiers simultaneously and combine them into one automatically generated integrated system so that one ensemble acts as an integral part of another ensemble. We carried out extensive experimental analysis using large datasets from the diabetes screening research initiative (DiScRi) project. The results of our experiments show that several blood biochemistry attributes can be used to supplement the Ewing battery for the detection of CAN in situations where one or more of the Ewing tests cannot be completed because of the individual difficulties faced by each patient in performing the tests. The results show that AIME provide higher accuracy as a multitier CAN classification paradigm. The best predictive accuracy of 99.57% has been obtained by the AIME combining decorate on top tier with bagging on middle tier based on random forest. Practitioners can use these findings to increase the accuracy of CAN diagnosis.

Fatty acylated proteins and the protein kinase C signaling pathway

Numerous proteins in intracellular signaling pathways are known to be covalently modified by long chain fatty acids. The objective of this project was to identify potentially novel components of the protein kinase C signaling pathway by virtue of their fatty acylation. A 64 kDa palmitoylated protein (p64) was identified that became deacylated following stimulation of quiescent cells with serum, FGF, or PDBu, suggesting that stimulus-dependent deacylation might alter interactions between p64 and other membrane/cytoskeletal components. A myristoylated protein of 68 kDa observed during these studies was identified as the "80K" PKC substrate. This protein was acylated cotranslationally with myristate through an amide linkage. The majority of the 80K protein was tightly associated with the plasma membrane, with approximately 20% in the cytosol. Although phosphorylation of the membrane-bound and soluble forms of the protein was increased 6-fold in response to PDBu, no changes in the subcellular distribution or myristoylation of the protein were observed. A cDNA encoding the murine form of this protein was cloned, and its deduced amino acid sequence revealed the presence of an N-terminal myristoylation consensus and five potential sites for phosphorylation by PKC. A mutant in which the N-terminal glycine residue was changed to alanine was no longer a substrate for NMT and consequently lost its membrane-binding potential. However, its ability to be phosphorylated in response to purified growth factors and phorbol esters was unimpaired. These results indicate that the myristoylated N-terminus of the 80K protein is required for its association with the plasma membrane, and that the cytoplasmic form of the protein can be phosphorylated independently of the membrane-bound form. Mutants of PKC were constructed in which the regulatory domain was removed and replaced by the N-terminus of the 80K or Al proteins. Unexpectedly, both the myristoylated and nonmyristoylated fusion proteins were tightly associated with the nuclear envelope. Further deletion analyses mapped nuclear targeting signals to the hinge region and a portion of the catalytic domain of PKC, explaining the ability of PKC to be translocated to the nucleus in response to certain stimuli. ^

Tracking individual membrane proteins and their biochemistry: The power of direct observation

The advent of single molecule fluorescence microscopy has allowed experimental molecular biophysics and biochemistry to transcend traditional ensemble measurements, where the behavior of individual proteins could not be precisely sampled. The recent explosion in popularity of new super-resolution and super-localization techniques coupled with technical advances in optical designs and fast highly sensitive cameras with single photon sensitivity and millisecond time resolution have made it possible to track key motions, reactions, and interactions of individual proteins with high temporal resolution and spatial resolution well beyond the diffraction limit. Within the purview of membrane proteins and ligand gated ion channels (LGICs), these outstanding advances in single molecule microscopy allow for the direct observation of discrete biochemical states and their fluctuation dynamics. Such observations are fundamentally important for understanding molecular-level mechanisms governing these systems. Examples reviewed here include the effects of allostery on the stoichiometry of ligand binding in the presence of fluorescent ligands; the observation of subdomain partitioning of membrane proteins due to microenvironment effects; and the use of single particle tracking experiments to elucidate characteristics of membrane protein diffusion and the direct measurement of thermodynamic properties, which govern the free energy landscape of protein dimerization. The review of such characteristic topics represents a snapshot of efforts to push the boundaries of fluorescence microscopy of membrane proteins to the absolute limit.

The sequence comparison index: A novel method for comparing proteins and proteomes

Historically morphological features were used as the primary means to classify organisms. However, the age of molecular genetics has allowed us to approach this field from the perspective of the organism's genetic code. Early work used highly conserved sequences, such as ribosomal RNA. The increasing number of complete genomes in the public data repositories provides the opportunity to look not only at a single gene, but at organisms' entire parts list. ^ Here the Sequence Comparison Index (SCI) and the Organism Comparison Index (OCI), algorithms and methods to compare proteins and proteomes, are presented. The complete proteomes of 104 sequenced organisms were compared. Over 280 million full Smith-Waterman alignments were performed on sequence pairs which had a reasonable expectation of being related. From these alignments a whole proteome phylogenetic tree was constructed. This method was also used to compare the small subunit (SSU) rRNA from each organism and a tree constructed from these results. The SSU rRNA tree by the SCI/OCI method looks very much like accepted SSU rRNA trees from sources such as the Ribosomal Database Project, thus validating the method. The SCI/OCI proteome tree showed a number of small but significant differences when compared to the SSU rRNA tree and proteome trees constructed by other methods. Horizontal gene transfer does not appear to affect the SCI/OCI trees until the transferred genes make up a large portion of the proteome. ^ As part of this work, the Database of Related Local Alignments (DaRLA) was created and contains over 81 million rows of sequence alignment information. DaRLA, while primarily used to build the whole proteome trees, can also be applied shared gene content analysis, gene order analysis, and creating individual protein trees. ^ Finally, the standard BLAST method for analyzing shared gene content was compared to the SCI method using 4 spirochetes. The SCI system performed flawlessly, finding all proteins from one organism against itself and finding all the ribosomal proteins between organisms. The BLAST system missed some proteins from its respective organism and failed to detect small ribosomal proteins between organisms. ^

*Ras proteins and human tumor cell radiosensitivity

Ras proteins (H-, N-, K4A-, and K4B) are associated with cellular resistance to ionizing radiation (IR) and, consequently, may provide a potential target for radiosensitization strategies in cancer treatment. Several approaches have been used to compromise Ras activity and enhance IR-induced cell killing; however, these techniques either target proteins in addition to Ras or only target one member of the Ras family. In this study, I have used an adenovirus (AV1Y28) that expresses a single-chain antibody fragment directed against Ras proteins to investigate the mechanism(s) responsible for Ras-mediated radiation resistance. AV1Y28 enhanced the radiosensitivity of a number of human tumor cell lines without affecting the radiosensitivity of normal human fibroblasts. Whereas AV1Y28-mediated sensitization was independent of ras gene mutational status, it was dependent on active Ras proteins suggesting that AV1Y28 may be useful against a broad range of tumors. AV1Y28-mediated cell killing was not the result of redistributing cells into a more radiosensitive phase of the cell cycle and did not enhance IR-induced apoptosis. Given that Ras proteins transduce environmental signals to the nucleus, the effect of AV1Y28 on the IR-inducible transcription factor NF-κB were determined. Although AV1Y28 inhibited IR-induced NF-κB through the suppression of IKK, additional work established that NF-κB did not play a role in AV1Y28-mediated radiosensitization. However, a novel component of the signaling pathway responsible for IR-induced NF-κB was identified. Previous studies had suggested a relationship between mutant ras genes and IR-induced G2 delay; therefore the effects of AV1Y28 on the progression of cells from G2 to M after IR were determined. Pretreatment of cells with AV1Y28 prevented the IR-induced G2 arrest. AV1Y28-mediated abrogation of IR-induced G2 arrest correlated with those cell line lines that were sensitized by AV1Y28. Moreover, a significant increase in cells undergoing mitotic catastrophe was found after IR in AV1Y28 treated cells. The abrogation of G2 arrest by AV1Y28 was the result of maintaining the active form of cdc2, an inducer of mitosis, after exposure to IR. This study identified the mechanism of AV1Y28-mediated radiosensitization and has provided insight into the signal transduction pathways responsible for Ras-mediated radiation resistance. ^

Selenium redox biochemistry of zinc–sulfur coordination sites in proteins and enzymes

Selenium has been increasingly recognized as an essential element in biology and medicine. Its biochemistry resembles that of sulfur, yet differs from it by virtue of both redox potentials and stabilities of its oxidation states. Selenium can substitute for the more ubiquitous sulfur of cysteine and as such plays an important role in more than a dozen selenoproteins. We have chosen to examine zinc–sulfur centers as possible targets of selenium redox biochemistry. Selenium compounds release zinc from zinc/thiolate-coordination environments, thereby affecting the cellular thiol redox state and the distribution of zinc and likely of other metal ions. Aromatic selenium compounds are excellent spectroscopic probes of the otherwise relatively unstable functional selenium groups. Zinc-coordinated thiolates, e.g., metallothionein (MT), and uncoordinated thiolates, e.g., glutathione, react with benzeneseleninic acid (oxidation state +2), benzeneselenenyl chloride (oxidation state 0) and selenocystamine (oxidation state −1). Benzeneseleninic acid and benzeneselenenyl chloride react very rapidly with MT and titrate substoichiometrically and with a 1:1 stoichiometry, respectively. Selenium compounds also catalyze the release of zinc from MT in peroxidation and thiol/disulfide-interchange reactions. The selenoenzyme glutathione peroxidase catalytically oxidizes MT and releases zinc in the presence of t-butyl hydroperoxide, suggesting that this type of redox chemistry may be employed in biology for the control of metal metabolism. Moreover, selenium compounds are likely targets for zinc/thiolate coordination centers in vivo, because the reactions are only partially suppressed by excess glutathione. This specificity and the potential to undergo catalytic reactions at low concentrations suggests that zinc release is a significant aspect of the therapeutic antioxidant actions of selenium compounds in antiinflammatory and anticarcinogenic agents.

Topological side-chain classification of beta-turns: Ideal motifs for peptidomimetic development

beta-turns are important topological motifs for biological recognition of proteins and peptides. Organic molecules that sample the side chain positions of beta-turns have shown broad binding capacity to multiple different receptors, for example benzodiazepines. beta-turns have traditionally been classified into various types based on the backbone dihedral angles (phi 2, psi 2, phi 3 and psi 3). Indeed, 57-68% of beta-turns are currently classified into 8 different backbone families (Type I, Type II, Type I', Type II', Type VIII, Type VIa1, Type VIa2 and Type VIb and Type IV which represents unclassified beta-turns). Although this classification of beta-turns has been useful, the resulting beta-turn types are not ideal for the design of beta-turn mimetics as they do not reflect topological features of the recognition elements, the side chains. To overcome this, we have extracted beta-turns from a data set of non-homologous and high-resolution protein crystal structures. The side chain positions, as defined by C-alpha-C-beta vectors, of these turns have been clustered using the kth nearest neighbor clustering and filtered nearest centroid sorting algorithms. Nine clusters were obtained that cluster 90% of the data, and the average intra-cluster RMSD of the four C-alpha-C-beta vectors is 0.36. The nine clusters therefore represent the topology of the side chain scaffold architecture of the vast majority of beta-turns. The mean structures of the nine clusters are useful for the development of beta-turn mimetics and as biological descriptors for focusing combinatorial chemistry towards biologically relevant topological space.

Identification and relative quantification of tyrosine nitration in a model peptide using two-dimensional infrared spectroscopy

Nitration of tyrosine in proteins and peptides is a post-translational modification that occurs under conditions of oxidative stress. It is implicated in a variety of medical conditions, including neurodegenerative and cardiovascular diseases. However, monitoring tyrosine nitration and understanding its role in modifying biological function remains a major challenge. In this work, we investigate the use of electron-vibration-vibration (EVV) two-dimensional infrared (2DIR) spectroscopy for the study of tyrosine nitration in model peptides. We demonstrate the ability of EVV 2DIR spectroscopy to differentiate between the neutral and deprotonated states of 3-nitrotyrosine, and we characterize their spectral signatures using information obtained from quantum chemistry calculations and simulated EVV 2DIR spectra. To test the sensitivity of the technique, we use mixed-peptide samples containing various levels of tyrosine nitration, and we use mass spectrometry to independently verify the level of nitration. We conclude that EVV 2DIR spectroscopy is able to provide detailed spectroscopic information on peptide side-chain modifications and to detect nitration levels down to 1%. We further propose that lower nitration levels could be detected by introducing a resonant Raman probe step to increase the detection sensitivity of EVV 2DIR spectroscopy. (Graph Presented).