An artificial miRNA as a new tool to silence and explore gene functions in apple

Artificial miRNA (amiRNA) is a powerful technology to silence genes of interest. It has a high efficiency and specificity that can be used to explore gene function through targeted gene regulation or to create new traits. To develop this gene regulation tool in apple, we designed two amiRNA constructs based on an apple endogenous miRNA backbone previously characterized (Md-miR156h), and we checked their efficiency on an easily scorable marker gene: the phytoene desaturase gene (MdPDS in apple). Two pairs of miRNA:miRNA* regions were designed (named h and w). The monocistronic Md-miR156h with these MdPDS targets was placed under the control of the CaMV 35S promoter to generate the two plasmids: pAmiRNA156h-PDSh and pAmiRNA156h-PDSw. Two Agrobacterium-mediated transformation experiments were performed on the cultivar ‘Gala’. A total of 11 independent transgenic clones were obtained in the first experiment and 5 in the second. Most transgenic lines had a typical albino and dwarf phenotype. However, six clones had a wild type green phenotype. Molecular analyses indicated clear relationships between the degree of albino phenotype, the level of MdPDS gene expression and the amount of mature amiRNAs. This study demonstrated for the first time in apple the functionality of an artificial miRNA based on an endogenous miRNA backbone. It provides important opportunities for apple genetic functional studies as well as apple genetic improvement projects.

     

Thioredoxins, glutaredoxins, and glutathionylation: new crosstalks to explore

Oxidants are widely considered as toxic molecules that cells have to scavenge and detoxify efficiently and continuously. However, emerging evidence suggests that these oxidants can play an important role in redox signaling, mainly through a set of reversible post-translational modifications of thiol residues on proteins. The most studied redox system in photosynthetic organisms is the thioredoxin (TRX) system, involved in the regulation of a growing number of target proteins via thiol/disulfide exchanges. In addition, recent studies suggest that glutaredoxins (GRX) could also play an important role in redox signaling especially by regulating protein glutathionylation, a post-translational modification whose importance begins to be recognized in mammals while much less is known in photosynthetic organisms. This review focuses on oxidants and redox signaling with particular emphasis on recent developments in the study of functions, regulation mechanisms and targets of TRX, GRX and glutathionylation. This review will also present the complex emerging interplay between these three components of redox-signaling networks.Electronic Supplementary Material Supplementary material is available in the online version of this article at and is accessible for authorized users.     

Anatomy of protein pockets and cavities: measurement of binding site geometry and implications for ligand design.

Identification and size characterization of surface pockets and occluded cavities are initial steps in protein structure-based ligand design. A new program, CAST, for automatically locating and measuring protein pockets and cavities, is based on precise computational geometry methods, including alpha shape and discrete flow theory. CAST identifies and measures pockets and pocket mouth openings, as well as cavities. The program specifies the atoms lining pockets, pocket openings, and buried cavities; the volume and area of pockets and cavities; and the area and circumference of mouth openings. CAST analysis of over 100 proteins has been carried out; proteins examined include a set of 51 monomeric enzyme-ligand structures, several elastase-inhibitor complexes, the FK506 binding protein, 30 HIV-1 protease-inhibitor complexes, and a number of small and large protein inhibitors. Medium-sized globular proteins typically have 10-20 pockets/cavities. Most often, binding sites are pockets with 1-2 mouth openings; much less frequently they are cavities. Ligand binding pockets vary widely in size, most within the range 10(2)-10(3)A3. Statistical analysis reveals that the number of pockets and cavities is correlated with protein size, but there is no correlation between the size of the protein and the size of binding sites. Most frequently, the largest pocket/cavity is the active site, but there are a number of instructive exceptions. Ligand volume and binding site volume are somewhat correlated when binding site volume is < or =700 A3, but the ligand seldom occupies the entire site. Auxiliary pockets near the active site have been suggested as additional binding surface for designed ligands (Mattos C et al., 1994, Nat Struct Biol 1:55-58). Analysis of elastase-inhibitor complexes suggests that CAST can identify ancillary pockets suitable for recruitment in ligand design strategies. Analysis of the FK506 binding protein, and of compounds developed in SAR by NMR (Shuker SB et al., 1996, Science 274:1531-1534), indicates that CAST pocket computation may provide a priori identification of target proteins for linked-fragment design. CAST analysis of 30 HIV-1 protease-inhibitor complexes shows that the flexible active site pocket can vary over a range of 853-1,566 A3, and that there are two pockets near or adjoining the active site that may be recruited for ligand design.     

The Lateralizer: a tool for students to explore the divided brain

Despite a profusion of popular misinformation about the left brain and right brain, there are functional differences between the left and right cerebral hemispheres in humans. Evidence from split-brain patients, individuals with unilateral brain damage, and neuroimaging studies suggest that each hemisphere may be specialized for certain cognitive processes. One way to easily explore these hemispheric asymmetries is with the divided visual field technique, where visual stimuli are presented on either the left or right side of the visual field and task performance is compared between these two conditions; any behavioral differences between the left and right visual fields may be interpreted as evidence for functional asymmetries between the left and right cerebral hemispheres. We developed a simple software package that implements the divided visual field technique, called the Lateralizer, and introduced this experimental approach as a problem-based learning module in a lower-division research methods course. Second-year undergraduate students used the Lateralizer to experimentally challenge and explore theories of the differences between the left and right cerebral hemispheres. Measured learning outcomes after active exploration with the Lateralizer, including new knowledge of brain anatomy and connectivity, were on par with those observed in an upper-division lecture course. Moreover, the project added to the students' research skill sets and seemed to foster an appreciation of the link between brain anatomy and function.     

ProteoMod: A new tool to quantitate protein post-translational modifications

Post-translational modifications (PTMs) are known to regulate biological processes by controlling protein function. The effect of a PTM on protein function depends critically on the position and the number of modifications. While there are convenient methods available to qualitatively examine modifications like phosphorylation, glycosylation, acetylation and methylation, methods available for their quantitative assessment are cumbersome. We have developed a new tool that allows quantitation of the number of phosphorylation events in proteins with ease. The "ProteoMod" tool depends on shifts in the isoelectric points of proteins upon post-translational change. The extent of shift exhibited upon phosphorylation is algorithmically converted into the number of phosphorylations conferred. The validity of ProteoMod was confirmed by examining proteins with previously known number of phosphorylations. The list of proteins examined included HSP27, HSP70 and tumor suppressor p53. The approach can also be applied to estimate modifications like acetylation, methylation and sialylation in proteins. We analyzed shifts in isoelectric points due to sialylation events in N-glycoproteins. Using influenza hemagglutinin we show that shifts in isoelectric points correlate with intracellular distribution of this model membrane protein. In addition to extending the application of two dimensional gel electrophoresis to quantitate modifications, our study also highlights its potential use in cell biology.     

SAND, a new protein family: from nucleic acid to protein structure and function prediction

As a result of genome, EST and cDNA sequencing projects, there are huge numbers of predicted and/or partially characterised protein sequences compared with a relatively small number of proteins with experimentally determined function and structure. Thus, there is a considerable attention focused on the accurate prediction of gene function and structure from sequence by using bioinformatics. In the course of our analysis of genomic sequence from Fugu rubripes, we identified a novel gene, SAND, with significant sequence identity to hypothetical proteins predicted in Saccharomyces cerevisiae, Schizosaccharomyces pombe, Caenorhabditis elegans, a Drosophila melanogaster gene, and mouse and human cDNAs. Here we identify a further SAND homologue in human and Arabidopsis thaliana by use of standard computational tools. We describe the genomic organisation of SAND in these evolutionarily divergent species and identify sequence homologues from EST database searches confirming the expression of SAND in over 20 different eukaryotes. We confirm the expression of two different SAND paralogues in mammals and determine expression of one SAND in other vertebrates and eukaryotes. Furthermore, we predict structural properties of SAND, and characterise conserved sequence motifs in this protein family.     

BLAST 2 Sequences, a new tool for comparing protein and nucleotide sequences

'BLAST 2 Sequences', a new BLAST-based tool for aligning two protein or nucleotide sequences, is described. While the standard BLAST program is widely used to search for homologous sequences in nucleotide and protein databases, one often needs to compare only two sequences that are already known to be homologous, coming from related species or, e.g. different isolates of the same virus. In such cases searching the entire database would be unnecessarily time-consuming. 'BLAST 2 Sequences' utilizes the BLAST algorithm for pairwise DNA-DNA or protein-protein sequence comparison. A World Wide Web version of the program can be used interactively at the NCBI WWW site (http://www.ncbi.nlm.nih.gov/gorf/bl2.++ +html). The resulting alignments are presented in both graphical and text form. The variants of the program for PC (Windows), Mac and several UNIX-based platforms can be downloaded from the NCBI FTP site (ftp://ncbi.nlm.nih.gov).     

Compid: a new software tool to integrate and compare MS/MS based protein identification results from Mascot and Paragon

Tandem mass spectrometry-based proteomics experiments produce large amounts of raw data, and different database search engines are needed to reliably identify all the proteins from this data. Here, we present Compid, an easy-to-use software tool that can be used to integrate and compare protein identification results from two search engines, Mascot and Paragon. Additionally, Compid enables extraction of information from large Mascot result files that cannot be opened via the Web interface and calculation of general statistical information about peptide and protein identifications in a data set. To demonstrate the usefulness of this tool, we used Compid to compare Mascot and Paragon database search results for mitochondrial proteome sample of human keratinocytes. The reports generated by Compid can be exported and opened as Excel documents or as text files using configurable delimiters, allowing the analysis and further processing of Compid output with a multitude of programs. Compid is freely available and can be downloaded from http://users.utu.fi/lanatr/compid. It is released under an open source license (GPL), enabling modification of the source code. Its modular architecture allows for creation of supplementary software components e.g. to enable support for additional input formats and report categories.     

Polyene-lipids: a new tool to image lipids

Microscopy of lipids in living cells is currently hampered by a lack of adequate fluorescent tags. The most frequently used tags, NBD and BODIPY, strongly influence the properties of lipids, yielding analogs with quite different characteristics. Here, we introduce polyene-lipids containing five conjugated double bonds as a new type of lipid tag. Polyene-lipids exhibit a unique structural similarity to natural lipids, which results in minimal effects on the lipid properties. Analyzing membrane phase partitioning, an important biophysical and biological property of lipids, we demonstrated the superiority of polyene-lipids to both NBD- and BODIPY-tagged lipids. Cells readily take up various polyene-lipid precursors and generate the expected end products with no apparent disturbance by the tag. Applying two-photon excitation microscopy, we imaged the distribution of polyene-lipids in living mammalian cells. For the first time, ether lipids, important for the function of the brain, were successfully visualized.     

Epithelial trafficking: new routes to familiar places

Research carried out in mammalian epithelial cell systems over the past 25 years has delineated pathways and sorting signals involved in polarized delivery of plasma membrane proteins. Recently some progress has been made in the identification of mechanisms underlying this polarized trafficking and in the visualization of trafficking routes in live cells. A promising area of research is the study of trafficking functions of novel polarity genes identified in Drosophila and Caenorhabditis elegans.     

A novel and efficient tool for locating and characterizing protein cavities and binding sites

Systematic investigation of a protein and its binding site characteristics are crucial for designing small molecules that modulate protein functions. However, fundamental uncertainties in binding site interactions and insufficient knowledge of the properties of even well‐defined binding pockets can make it difficult to design optimal drugs. Herein, we report the development and implementation of a cavity detection algorithm built with HINT toolkit functions that we are naming Vectorial Identification of Cavity Extents (VICE). This very efficient algorithm is based on geometric criteria applied to simple integer grid maps. In testing, we carried out a systematic investigation on a very diverse data set of proteins and protein–protein/protein–polynucleotide complexes for locating and characterizing the indentations, cavities, pockets, grooves, channels, and surface regions. Additionally, we evaluated a curated data set of unbound proteins for which a ligand‐bound protein structures are also known; here the VICE algorithm located the actual ligand in the largest cavity in 83% of the cases and in one of the three largest in 90% of the cases. An interactive front‐end provides a quick and simple procedure for locating, displaying and manipulating cavities in these structures. Information describing the cavity, including its volume and surface area metrics, and lists of atoms, residues, and/or chains lining the binding pocket, can be easily obtained and analyzed. For example, the relative cross‐sectional surface area (to total surface area) of cavity openings in well‐enclosed cavities is 0.06 ± 0.04 and in surface clefts or crevices is 0.25 ± 0.09. Proteins 2010. © 2009 Wiley‐Liss, Inc.     

Active Sequences Collection (ASC) database: a new tool to assign functions to protein sequences

Active Sequences Collection (ASC) is a collection of amino acid sequences, with an unique feature: only short sequences are collected, with a demonstrated biological activity. The current version of ASC consists of three sections: DORRS, a collection of active RGD-containing peptides; TRANSIT, a collection of protein regions active as substrates of transglutaminase enzyme (TGase), and BAC, a collection of short peptides with demonstrated biological activity. Literature references for each entry are reported, as well as cross references to other databases, when available. The current version of ASC includes more than 800 different entries. The main scope of this collection is to offer a new tool to investigate the structural features of protein active sites, additionally to similarity searches against large protein databases or searching for known functional patterns. ASC database is available at the web address http://crisceb.unina2.it/ASC/ which also offers a dedicated query interface to compare user-defined protein sequences with the database, as well as an updating interface to allow contribution of new referenced active sequences.     

PCRPi: Presaging Critical Residues in Protein interfaces,a new computational tool to chart hot spots in protein interfaces

Protein–protein interactions (PPIs) are ubiquitous in Biology, and thus offer an enormous potential for the discovery of novel therapeutics. Although protein interfaces are large and lack defining physiochemical traits, is well established that only a small portion of interface residues, the so-called hot spot residues, contribute the most to the binding energy of the protein complex. Moreover, recent successes in development of novel drugs aimed at disrupting PPIs rely on targeting such residues. Experimental methods for describing critical residues are lengthy and costly; therefore, there is a need for computational tools that can complement experimental efforts. Here, we describe a new computational approach to predict hot spot residues in protein interfaces. The method, called Presaging Critical Residues in Protein interfaces (PCRPi), depends on the integration of diverse metrics into a unique probabilistic measure by using Bayesian Networks. We have benchmarked our method using a large set of experimentally verified hot spot residues and on a blind prediction on the protein complex formed by HRAS protein and a single domain antibody. Under both scenarios, PCRPi delivered consistent and accurate predictions. Finally, PCRPi is able to handle cases where some of the input data is either missing or not reliable (e.g. evolutionary information).     

Phosphate-binding tag, a new tool to visualize phosphorylated proteins

We introduce two methods for the visualization of phosphorylated proteins using alkoxide-bridged dinuclear metal (i.e. Zn(2+) or Mn(2+)) complexes as novel phosphate-binding tag (Phos-tag) molecules. Both Zn(2+)- and Mn(2+)-Phos-tag molecules preferentially capture phosphomonoester dianions bound to Ser, Thr, and Tyr residues. One method is based on an ECL system using biotin-pendant Zn(2+)-Phos-tag and horseradish peroxidase-conjugated streptavidin. We demonstrate the electroblotting analyses of protein phosphorylation status by the phosphate-selective ECL signals. Another method is based on the mobility shift of phosphorylated proteins in SDS-PAGE with polyacrylamide-bound Mn(2+)-Phos-tag. Phosphorylated proteins in the gel are visualized as slower migration bands compared with corresponding dephosphorylated proteins. We demonstrate the kinase and phosphatase assays by phosphate affinity electrophoresis (Mn(2+)-Phos-tag SDS-PAGE).     

Unilateral clefts: a new defect of the rat secondary palate

As shown in a previous study [Schüpbach et al, 1984], different types of total and partial clefts of the secondary palate can be produced through amniocentesis performed in Sprague-Dawley rats at day 16.2 of gestation. Among these were a small number of unilateral clefts that were examined in the scanning electron microscope and in Epon sections. The 410 treated amnions yielded a total of 395 viable fetuses. Total clefts occurred in 48.9% of viable fetuses examined at day 17.8 and in 21.8% of those examined at days 19.3. Partial clefts were observed in 14.1% and 18.5% of viable fetuses examined at days 17.8 and 19.3, respectively. Unilateral clefts were observed in 3.8-10.2% of the partial clefts and in 0.5-1.8% of all viable fetuses. The eight animals with unilateral clefting included fetuses with a total unilateral cleft in the anterior hard palate. Morphological observations suggested that under conditions of delayed palatal closure total unilateral clefts may be the result of initial elevation of one, and delayed elevation of the other, shelf and partial unilateral clefts probably represent the result of an incomplete retrograde closure.