CFTR: Domains, Structure, and Function

Mutations in the gene encoding the cystic fibrosis transmembrane conductance regulator (CFTR) cause cystic fibrosis (CF) (Collins, 1992). Over 500 naturally occurring mutations have been identified in CF gene which are located in all of the domains of the protein (Kerem et al., 1990; Mercier et al., 1993; Ghanem et al., 1994; Fanen et al., 1992; Ferec et al., 1992; Cutting et al., 1990). Early studies by several investigators characterized CFTR as a chloride channel (Anderson et al.; 1991b,c; Bear et al., 1991). The complex secondary structure of the protein suggested that CFTR might possess other functions in addition to being a chloride channel. Studies have established that the CFTR functions not only as a chloride channel but is indeed a regulator of sodium channels (Stutts et al., 1995), outwardly rectifying chloride channels (ORCC) (Gray et al., 1989; Garber et al., 1992; Egan et al., 1992; Hwang et al., 1989; Schwiebert et al., 1995) and also the transport of ATP (Schwiebert et al., 1995; Reisin et al., 1994). This mini-review deals with the studies which elucidate the functions of the various domains of CFTR, namely the transmembrane domains, TMD1 and TMD2, the two cytoplasmic nucleotide binding domains, NBD1 and NBD2, and the regulatory, R, domain.     

Methyl-directed DNA mismatch repair in Escherichia coli

Some of the molecular aspects of methyl-directed mismatch repair in E. coli have been characterized. These include: mismatch recognition by mutS protein in which different mispairs are bound with different affinities; the direct involvement of d(GATC) sites; and strand scission by mutH protein at d(GATC) sequences with strand selection based on methylation of the DNA at those sites. In addition, communication over a distance between a mismatch and d(GATC) sites has been implicated. Analysis of mismatch correction in a defined system (Lahue et al., unpublished) should provide a direct means to further molecular aspects of this process.     

Bacteriophage host range evolution through engineered enrichment bias,exploiting heterologous surface receptor expression

Research on the initial phage–host interaction has been conducted on a limited repertoire of phages and their cognate receptors, such as phage λ and the Escherichia coli LamB (EcLamB) protein. Apart from phage λ, little is known about other phages that target EcLamB. Here, we developed a simple method for isolating novel environmental phages in a predictable way, i.e. isolating phages that target a particular receptor(s) of a bacterium, in this case, the EcLamB protein. A plasmid (pMUT13) encoding the EcLamB porin was transferred into three different enterobacterial genera. By enrichment with these engineered bacteria, a number of phages (ZZ phages) that targeted EcLamB were easily isolated from the environment. Interestingly, although EcLamB-dependent in their recombinant heterologous hosts, these newly isolated ZZ phages also targeted OmpC as an alternative receptor when infecting E. coli. Moreover, the phage host range was readily extended within three different bacterial genera with heterologously expressed EcLamB. Unlike phage λ, which is a member of the Siphoviridae family, these newly isolated EcLamB-dependent phages were more commonly members of the Myoviridae family, based on transmission electron microscopy and genomic sequences. Modifications of this convenient and efficient phage enrichment method could be useful for the discovery of novel phages.     

Demonstration of a bacteriophage receptor site on the Escherichia coli K12 outer-membrane protein OmpC by the use of a protease

The Escherichia coli K12 outer-membrane proteins OmpA, OmpC, OmpF, PhoE, and LamB (all of transmembrane nature) can serve as phage receptors. We have shown previously that one OmpA-specific phage, Ox2, can give rise to the host range mutants Ox2h10 and Ox2h12, with the latter being derived from the former [Morona, R. & Henning, U. (1984) J. Bacteriol. 159, 579-582]. Unlike Ox2, both host range phages can use the OmpA and OmpC proteins as receptors and Ox2h12 is better adapted to the OmpC protein than Ox2h10. In a search for the site(s) of OmpC protein involved in phage recognition, it was found that proteinase K is able to cleave all of the proteins mentioned above. OmpC protein (Mr = 38306) could be cleaved from outside the cell by proteinase K resulting in two fragments of Mr approximately equal to 21000 and Mr approximately equal to 17500. The use of OmpC-PhoE hybrid proteins allowed us to assign the approximately equal to 21000-Mr fragment to the CO2H-terminal moiety of the protein. Proteinase K treatment of intact cells abolished their activity to neutralize the OmpC-specific phage Tulb and reduced this ability towards phage Ox2h12. The OmpA, OmpF, PhoE and LamB proteins were cleaved by the protease not in intact cells but only when acting on cell envelopes. The sizes of the OmpC protein fragments and the results obtained with the hybrid proteins very strongly suggest that the protein is cleaved from outside the cell at a region involving amino acid residues 150-178 of the 346-residue protein, which shows homology to two regions of the OmpA protein which are involved in its phage receptor site (loc. cit.). These areas also exhibit some homology to a region of the LamB protein which is thought to be part of this protein's receptor site [Charbit et al. (1984) J. Mol. Biol. 175, 395-401]. This suggests that there is a common denominator for proteinaceous phage receptor site because the LamB-specific phage lambda and phage Tulb are of completely different nature. We conclude that the region of the OmpC protein in question is cell-surface-exposed and acts as a phage receptor site.     

DNA sequence analysis of the lamB gene from Klebsiella pneumoniae: implications for the topology and the pore functions in maltoporin.

Summary We have determined the sequence of the lamB gene from Klebsiella pneumoniae. It encodes the precursor to the LamB protein, a 429 amino acid polypeptide with maltoporin function. Comparison with the Escherichia coli LamB protein reveals a high degree of homology, with 325 residues strictly identical. The N-terminal third of the protein is the most conserved part of the molecule (1 change in the signal sequence, and 13 changes up to residue 146 of the mature protein). Differences between the two mature proteins are clustered mainly in six regions comprising residues 145–167, 173–187, 197–226, 237–300, 311–329, and 367–387 (K. pneumoniae LamB sequence). The most important changes were found in regions predicted by the two-dimensional model of LamB folding to form loops on the cell surface. In vivo maltose and maltodextrin transport properties of E. coli K 12 and K. pneumoniae strains were identical. However, none of the E. coli K12 LamB-specific phages was able to plaque onto K. pneumoniae. Native K. pneumoniae LamB protein forms highly stable trimers. The protein could be purified by affinity chromatography on starch-Sepharose as efficiently as the E. coli K12 LamB protein, indicating a conservation of the binding site for dextrins. However, none of the monoclonal antibodies directed against native E. coli K12 LamB protein recognized native purified K. pneumoniae LamB protein. These data indicate that most of the variability occurs within exposed regions of the protein and provide additional support for the proposed model of LamB folding. The fact that the N-terminal third of the protein is highly conserved is in agreement with the idea that it is part of, or constitutes, the pore domain located within the transmembranous channel and that it is not accessible from the cell surface.     

Recent Advances in GFP Folding Reporter and Split-GFP Solubility Reporter Technologies. Application to Improving the Folding and Solubility of Recalcitrant Proteins from Mycobacterium tuberculosis

We have improved our green fluorescent protein (GFP) folding reporter technology [Waldo et al., (1999) Nat. Biotechnol. 17, 691–695] to evolve recalcitrant proteins from Mycobacterium tuberculosis. The target protein is inserted into the scaffolding of the GFP, eliminating false-positive artifacts caused by expression of truncated protein variants from internal cryptic ribosome binding sites in the target RNA. In parallel, we have developed a new quantitative fluorescent protein tagging and detection system based on micro-domains of GFP. This split-GFP system, which works both in vivo and in vitro, is amenable to high-throughput assays of protein expression and solubility [Cabantous et al., (2005) Nat. Biotechnol. 23, 102–107]. Together, the GFP folding reporter and split-GFP technologies offer a comprehensive system for manipulating and improving protein folding and solubility.     

Epidemiological evidence of mosquito-borne viruses among persons and vectors in Iran: A study from North to South

Arthropod-borne viruses are a group of the most important emerging pathogens. They cause a range of diseases in vertebrate hosts and threaten human health (Gan and Leo, 2014). The global distribution of arboviruses is associated with the vector which is strongly affected by changes in environmental conditions. Dengue virus (DENV) and Chikungunya virus (CHIKV), which cause high annual infected cases and have an increasing geographic distribution, are transmitted by Aedes spp. mosquitoes, in particular Ae. albopictus and Ae. Aegypti (Presti et al., 2014; Higuera and Ramírez, 2018). Although, the main vector of dengue virus, Ae. aegypti, was not detected in Iran, other possible important vectors such as Ae. Albopictus and Ae. unilineatus were recorded (Doosti et al., 2016; Yaghoobi-Ershadi et al., 2017). West Nile virus (WNV), a member of the genus Flaviviruses, is one of the most widespread arboviruses (Chancey et al., 2015). The epidemiological evidence of WNV in different hosts in Iran was found (Bagheri et al., 2015), and the circulation of WNV in the main vector, Culex pipiens s.l. and Cx. pipiens, has been proved (Shahhosseini et al., 2017). Due to limited information on the situation of CHIKV, DENV and WNV in Iran, we performed a wide geographical investigation to determine the prevalence of IgG specific antibodies in human samples as well as the genome of WNV, CHIKV and DENV in mosquitoes.     

Topology of the membrane protein LamB by epitope tagging and a comparison with the X-ray model.

We previously developed a genetic approach to study, with a single antibody, the topology of the outer membrane protein LamB, an Escherichia coli porin with specificity towards maltodextrins and a receptor for bacteriophage lambda. Our initial procedure consisted of inserting at random the same reporter epitope (the C3 neutralization epitope from poliovirus) into permissive sites of LamB (i.e., sites which tolerate insertions without deleterious effects on the protein activities or the cell). A specific monoclonal antibody was then used to examine the position of the inserted epitope with respect to the protein and the membrane. In the present work, we set up a site-directed procedure to insert the C3 epitope at new sites in order to distinguish between two-dimensional folding models. This allowed us to identify two new surface loops of LamB and to predict another periplasmic exposed region. The results obtained by random and directed epitope tagging are analyzed in light of the recently published X-ray structure of the LamB protein. Study of 23 hybrid LamB-C3 proteins led to the direct identification of five of the nine external loops (L4, L5, L6, L7, and L9) and led to the prediction of four periplasmic loops (I1, I4, I5, and I8) of LamB. Nine of the hybrid proteins did not lead to topological conclusions, and none led to the wrong predictions or conclusions. The comparison indicates that parts of models based on secondary structure predictions alone are not reliable and points to the importance of experimental data in the establishment of outer membrane protein topological models. The advantages and limitations of genetic foreign epitope insertion for the study of integral membrane proteins are discussed.     

In this issue: Proteomics 2/2008

In this issue of Proteomics you will find the following highlighted articles: Particular particles pick out phosphopeptides promptly Phosphorylation/dephosphorylation is the most commonly used post‐translational signal in eukaryotic organisms. With a single site it might turn a pathway on or off, up or down; multiple site series can incrementally change the level of expression, effects can be direct or indirectly induced. Needless to say, phosphoproteins are extremely important subjects of study. Li et al. have developed a method for rapid collection and analysis of phosphopeptides: gallium oxide‐coated magnetic beads. Effective at very low phosphopeptide concentrations, a MALDI sample can be bound to the beads in 30 seconds. After a few washes, a small amount of the bead slurry is spotted on a MALDI plate, 2,5‐dihydroxybenzoic acid spotted as matrix, then, “Fire away!” The gallium oxide beads dramatically out perform silica‐Fe beads, Fe+3‐IMAC resin, and TiO2 beads. Li, Y. et al., Proteomics 2008, 8, 238–249. Plasma butyrylcholinesterase: multiple N‐glycan sites support multiple roles Cholinesterases have been of interest since their discovery in the early 1930’s. Acetylcholinesterase is the target of insecticides and nerve gases. Butyrylcholinesterase (BChE) plays a variety of roles because of its “relaxed” substrate requirements, able to detoxify heroin and aspirin as well as choline‐containing molecules. Of particular interest is its function as a scavenger of organophosphates to protect nerve‐associated acetylcholinesterase. Kolarich et al. explored the complexities of glycosylation of BChE, with 9 of 10 potential N‐glycosylation sites occupied in the 85 kDa protein. Of the variety of techniques applied to elucidating the glycan structures at particular sites, perhaps the most informative was porous graphitic carbon LC/MS. It yielded more information in 80 minutes than an overnight “classical” procedure. No evidence of O‐glycosylation or other post‐translational modifications were seen. Kolarich, D. et al., Proteomics 2008, 8, 254–263. DIGE digs up skeletal muscle fate The gradual loss of strength and muscle mass is a normal event in aging, measurable by published statistics for professional athletes, or by how long we take to push away from the table. Sarcopenia is the drastic form of muscle loss, resulting in severe impairment. Doran et al. selected the rat model of muscle mass loss between 3 months (young adult) and 30 months (old) to study, avoiding confounding human variables. Applying DIGE/MALDI‐TOF to gastrocnemius samples, they found 2493 spots, of which 69 exhibited dramatic up‐ or down‐regulation. The functional changes suggested by the quantitative changes included increased dependence on aerobic oxidative metabolism and fibre remodeling, probably due to impaired fibre repair. These findings were confirmed by Western blots and fluorescent confocal microscopy and concur with other published studies. Doran, P. et al., Proteomics 2008, 8, 364–377.     

Large-Scale Phosphoprotein Analysis in Medicago truncatula Roots Provides Insight into in Vivo Kinase Activity in Legumes

Nitrogen fixation in legumes requires the development of root organs called nodules and their infection by symbiotic rhizobia. Over the last decade, Medicago truncatula has emerged as a major model plant for the analysis of plant-microbe symbioses and for addressing questions pertaining to legume biology. While the initiation of symbiosis and the development of nitrogen-fixing root nodules depend on the activation of a protein phosphorylation-mediated signal transduction cascade in response to symbiotic signals produced by the rhizobia, few sites of in vivo phosphorylation have previously been identified in M. truncatula. We have characterized sites of phosphorylation on proteins from M. truncatula roots, from both whole cell lysates and membrane-enriched fractions, using immobilized metal affinity chromatography and tandem mass spectrometry. Here, we report 3,457 unique phosphopeptides spanning 3,404 nonredundant sites of in vivo phosphorylation on 829 proteins in M. truncatula Jemalong A17 roots, identified using the complementary tandem mass spectrometry fragmentation methods electron transfer dissociation and collision-activated dissociation. With this being, to our knowledge, the first large-scale plant phosphoproteomic study to utilize electron transfer dissociation, analysis of the identified phosphorylation sites revealed phosphorylation motifs not previously observed in plants. Furthermore, several of the phosphorylation motifs, including LxKxxs and RxxSxxxs, have yet to be reported as kinase specificities for in vivo substrates in any species, to our knowledge. Multiple sites of phosphorylation were identified on several key proteins involved in initiating rhizobial symbiosis, including SICKLE, NUCLEOPORIN133, and INTERACTING PROTEIN OF DMI3. Finally, we used these data to create an open-access online database for M. truncatula phosphoproteomic data.Medicago truncatula has become a model for studying the biology of leguminous plants such as soybean (Glycine max), alfalfa (Medicago sativa), and clover (Trifolium spp.; Singh et al., 2007). Most members of this vast family have the ability to fix atmospheric nitrogen by virtue of an endosymbiotic association with rhizobial bacteria, through which legumes undergo nodulation, the process of forming root nodules (Jones et al., 2007). Legumes are central to modern agriculture and civilization because of their ability to grow in nitrogen-depleted soils and replenish nitrogen through crop rotation. Consequently, there is great interest in understanding the molecular events that allow legumes to recognize their symbionts, develop root nodules, and fix nitrogen. Nod factors are lipochitooligosaccharidic signals secreted by the rhizobia and are required, in most legumes, for intracellular infection and nodule development. In recent decades, an elegant combination of genetics, biochemistry, and cell biology has shown that Nod factors activate intricate signaling events within cells of legume roots, including protein phosphorylation cascades and intracellular ion fluxes (Oldroyd and Downie, 2008).Protein phosphorylation is a central mechanism of signal transfer in cells (Laugesen et al., 2006; Peck, 2006; Huber, 2007). Several characterized protein kinases are required for symbiosis signal transduction in M. truncatula roots (Lévy et al., 2004; Yoshida and Parniske, 2005; Smit et al., 2007). A recent antibody-based study of cultured M. truncatula cells observed protein phosphorylation changes at the proteomic level in response to fungal infection (Trapphoff et al., 2009); however, the target residues of the phosphorylation events were not determined. A variety of studies have determined in vitro phosphorylation sites on legume proteins and demonstrated the biological importance of the target residues by mutagenesis (Yoshida and Parniske, 2005; Arrighi et al., 2006; Lima et al., 2006; Miyahara et al., 2008; Yano et al., 2008). To our knowledge, only six sites of in vivo protein phosphorylation have been detected for M. truncatula (Laugesen et al., 2006; Lima et al., 2006; Wienkoop et al., 2008), demonstrating the need for the identification of endogenous protein phosphorylation sites in legume model organisms on a proteome-wide scale.While considerable advancements have been made in the global analysis of protein phosphorylation (Nita-Lazar et al., 2008; Macek et al., 2009; Piggee, 2009; Thingholm et al., 2009), phosphoproteomics in plants has lagged years behind that of the mammalian systems (Kersten et al., 2006, 2009; Peck, 2006), which have more fully sequenced genomes and better annotated protein predictions. Arabidopsis (Arabidopsis thaliana), the first plant genome sequenced (Arabidopsis Genome Initiative, 2000), is now predicted to have over 1,000 protein kinases (Finn et al., 2008), approximately twice as many as in human (Manning et al., 2002). Because many of the kinases in the commonly studied mammalian systems are not conserved in the plant kingdom, there is significant need for large-scale phosphoproteomic technologies to discern the intricacies of phosphorylation-mediated cell signaling in plants. With the high mass accuracy afforded by the linear ion trap-orbitrap hybrid mass spectrometer (Makarov et al., 2006; Yates et al., 2006), recent studies in Arabidopsis have reported 2,597 phosphopeptides from suspension cell culture (Sugiyama et al., 2008) and 3,029 phosphopeptides from seedlings (Reiland et al., 2009).All previous large-scale plant phosphoproteomic studies have relied solely on collision-activated dissociation (CAD) during tandem mass spectrometry (MS/MS) and have not taken advantage of the more recently developed methods (Kersten et al., 2009) electron capture dissociation (Kelleher et al., 1999) or electron transfer dissociation (ETD; Coon et al., 2004; Syka et al., 2004). Mapping sites of posttranslational modifications, such as phosphorylation, is often more straightforward using electron-based fragmentation methods, as they frequently produce a full spectrum of sequence-informative ions without causing neutral loss of the modifying functional groups (Meng et al., 2005; Chi et al., 2007; Khidekel et al., 2007; Molina et al., 2007; Wiesner et al., 2008; Chalkley et al., 2009; Swaney et al., 2009). With an ETD-enabled hybrid orbitrap mass spectrometer (McAlister et al., 2007, 2008), we previously compared the performance of CAD and ETD tandem MS for large-scale identification of phosphopeptides (Swaney et al., 2009). ETD identified a greater percentage of unique phosphopeptides and more frequently localized phosphorylation sites. Still, the low overlap of identified phosphopeptides indicates that the two methods are highly complementary. With this in mind, we recently developed a decision tree-driven tandem MS algorithm to select the optimal fragmentation method for each precursor (Swaney et al., 2008).Here, we utilize this technology to map sites of in vivo protein phosphorylation in roots of M. truncatula Jemalong A17 plants. Phosphoproteins, from both whole-cell lysate and membrane-enriched fractions, were analyzed after digestion with a variety of different enzymes individually. Utilizing the complementary fragmentation methods of ETD and CAD, we report 3,404 nonredundant phosphorylation sites at an estimated false discovery rate (FDR) of 1%. Analysis of these data revealed several phosphorylation motifs not previously observed in plants. The phosphorylation sites identified provide insight into the potential regulation of key proteins involved in rhizobial symbiosis, potential consensus sequences by which kinases recognize their substrates, and critical phosphorylation events that are conserved between plant species.     

Cover Picture: Proteomics 2/2008

In this issue of Proteomics you will find the following highlighted articles: Particular particles pick out phosphopeptides promptly Phosphorylation/dephosphorylation is the most commonly used post‐translational signal in eukaryotic organisms. With a single site it might turn a pathway on or off, up or down; multiple site series can incrementally change the level of expression, effects can be direct or indirectly induced. Needless to say, phosphoproteins are extremely important subjects of study. Li et al. have developed a method for rapid collection and analysis of phosphopeptides: gallium oxide‐coated magnetic beads. Effective at very low phosphopeptide concentrations, a MALDI sample can be bound to the beads in 30 seconds. After a few washes, a small amount of the bead slurry is spotted on a MALDI plate, 2,5‐dihydroxybenzoic acid spotted as matrix, then, “Fire away!” The gallium oxide beads dramatically out perform silica‐Fe beads, Fe+3‐IMAC resin, and TiO2 beads. Li, Y. et al., Proteomics 2008, 8, 238–249. Plasma butyrylcholinesterase: multiple N‐glycan sites support multiple roles Cholinesterases have been of interest since their discovery in the early 1930’s. Acetylcholinesterase is the target of insecticides and nerve gases. Butyrylcholinesterase (BChE) plays a variety of roles because of its “relaxed” substrate requirements, able to detoxify heroin and aspirin as well as choline‐containing molecules. Of particular interest is its function as a scavenger of organophosphates to protect nerve‐associated acetylcholinesterase. Kolarich et al. explored the complexities of glycosylation of BChE, with 9 of 10 potential N‐glycosylation sites occupied in the 85 kDa protein. Of the variety of techniques applied to elucidating the glycan structures at particular sites, perhaps the most informative was porous graphitic carbon LC/MS. It yielded more information in 80 minutes than an overnight “classical” procedure. No evidence of O‐glycosylation or other post‐translational modifications were seen. Kolarich, D. et al., Proteomics 2008, 8, 254–263. DIGE digs up skeletal muscle fate The gradual loss of strength and muscle mass is a normal event in aging, measurable by published statistics for professional athletes, or by how long we take to push away from the table. Sarcopenia is the drastic form of muscle loss, resulting in severe impairment. Doran et al. selected the rat model of muscle mass loss between 3 months (young adult) and 30 months (old) to study, avoiding confounding human variables. Applying DIGE/MALDI‐TOF to gastrocnemius samples, they found 2493 spots, of which 69 exhibited dramatic up‐ or down‐regulation. The functional changes suggested by the quantitative changes included increased dependence on aerobic oxidative metabolism and fibre remodeling, probably due to impaired fibre repair. These findings were confirmed by Western blots and fluorescent confocal microscopy and concur with other published studies. Doran, P. et al., Proteomics 2008, 8, 364–377.     

A new acid mix enhances phosphopeptide enrichment on titanium- and zirconium dioxide for mapping of phosphorylation sites on protein complexes

The selective enrichment of phosphorylated peptides prior to reversed-phase separation and mass spectrometric detection significantly improves the analytical results in terms of higher number of detected phosphorylation sites and spectra of higher quality. Metal oxide chromatography (MOC) has been recently described for selective phosphopeptide enrichment (Pinkse et al., 2004 [1]; Larsen et al., 2005 [2]; Kweon and Hakansson, 2006 [3]; Cantin et al., 2007 [4]; Collins et al., 2007 [5]). In the present work we have tested the effect of a modified loading solvent containing a novel acid mix and optimized wash conditions on the efficiency of TiO₂-based phosphopeptide enrichment in order to improve our previously published method (Mazanek et al., 2007 [6]). Applied to a test mixture of synthetic and BSA-derived peptides, the new method showed improved selectivity for phosphopeptides, whilst retaining a high recovery rate. Application of the new enrichment method to digested purified protein complexes resulted in the identification of a significantly higher number of phosphopeptides as compared to the previous method. Additionally, we have compared the performance of TiO₂ and ZrO₂ columns for the isolation and identification of phosphopeptides from purified protein complexes and found that for our test set, both media performed comparably well. In summary, our improved method is highly effective for the enrichment of phosphopeptides from purified protein complexes prior to mass spectrometry, and is suitable for large-scale phosphoproteomic projects that aim to elucidate phosphorylation-dependent cellular processes.     

187 Plucking the high hanging fruit: a systematic approach for targeting protein interfaces

Development of specific ligands for protein targets that help decode the complexities of protein–protein interaction networks is a key goal for the field of chemical biology. Despite the emergence of powerful in silico and experimental high-throughput screening strategies, the discovery of synthetic ligands that selectively modulate protein–protein interactions remains a challenge for the chemical biologists. Proteins often utilize small folded domains for recognition of other biomolecules. The basic hypothesis guiding our research is that by mimicking these domains, we can modulate the function of a particular protein with metabolically-stable synthetic molecules (Raj et al., 2013). This presentation will discuss computational approaches (Bullock et al., 2011; Jochim & Arora, 2010) to identify targetable interfaces along with synthetic methods (Patgiri et al., 2008; Tosovska & Arora, 2010) to develop protein domain mimics (PDMs) as modulators of intracellular protein–protein interactions (Henchey et al., 2010; Patgiri et al., 2011).     

Computational Identification of Potential Molecular Interactions in Arabidopsis

Knowledge of the protein interaction network is useful to assist molecular mechanism studies. Several major repositories have been established to collect and organize reported protein interactions. Many interactions have been reported in several model organisms, yet a very limited number of plant interactions can thus far be found in these major databases. Computational identification of potential plant interactions, therefore, is desired to facilitate relevant research. In this work, we constructed a support vector machine model to predict potential Arabidopsis (Arabidopsis thaliana) protein interactions based on a variety of indirect evidence. In a 100-iteration bootstrap evaluation, the confidence of our predicted interactions was estimated to be 48.67%, and these interactions were expected to cover 29.02% of the entire interactome. The sensitivity of our model was validated with an independent evaluation data set consisting of newly reported interactions that did not overlap with the examples used in model training and testing. Results showed that our model successfully recognized 28.91% of the new interactions, similar to its expected sensitivity (29.02%). Applying this model to all possible Arabidopsis protein pairs resulted in 224,206 potential interactions, which is the largest and most accurate set of predicted Arabidopsis interactions at present. In order to facilitate the use of our results, we present the Predicted Arabidopsis Interactome Resource, with detailed annotations and more specific per interaction confidence measurements. This database and related documents are freely accessible at http://www.cls.zju.edu.cn/pair/.The complex cellular functions of an organism rely on physical interactions between proteins. Deciphering the protein-protein interaction network to understand higher level phenotypes and their regulations is always a major focus of both experimental biologists and computational biologists. A number of high-throughput (HTP) assays have been developed to identify in vitro protein interactions from several model organisms (Uetz et al., 2000; Giot et al., 2003; Li et al., 2004). A number of initiatives, such as IntAct (Kerrien et al., 2006), Molecular INTeraction database (Chatr-aryamontri et al., 2007), the Database of Interacting Proteins (Salwinski et al., 2004), Biomolecular Interaction Network Database (BIND; Alfarano et al., 2005), and BioGRID (Stark et al., 2006), have been established to systematically collect and organize the interaction data reported by both proteome-scale HTP experiments and traditional low-throughput studies focusing on individual proteins or pathways.Arabidopsis (Arabidopsis thaliana) has long been studied as a model organism to investigate the physiology, biochemistry, growth, development, and metabolism of a flowering plant at the molecular level. The molecular mechanism studies of various phenotypes and their regulations in Arabidopsis may be facilitated by a comprehensive reference protein interaction network, based on which working hypotheses could be invented with more guidance and confidence. However, due to technological limitations, most experimentally reported protein interactions in available databases were from other organisms. A very limited number of plant interactions could be found in these databases. Therefore, an accurate prediction of the Arabidopsis interactome would be valuable to assist relevant research.Studies on the computational identification of potential interactions started along with the advent of HTP interaction-detection technologies, which often produced a large number of false positives (Deane et al., 2002). Indirect evidence of protein interaction (e.g. protein colocalization and relevance in function) were hence introduced to boost the confidence of HTP results (Jansen et al., 2003). Further investigations demonstrated that direct inference of protein interactions from such indirect evidence alone was possible (Scott and Barton, 2007). The accuracy and effectiveness of using indirect evidence to predict interactions have also been thoroughly assessed (Qi et al., 2006; Suthram et al., 2006). These works offered precious insights into how protein interactions may be predicted accurately on a proteomic scale. In other organisms such as Homo sapiens, the prediction of an entire interactome has already been proven applicable and useful (Rhodes et al., 2005).On the other side, several efforts have been made to collect and organize a comprehensive map of Arabidopsis molecular interactions. For instances, around 20,000 interactions were inferred by homology to known interactions in other organisms (Geisler-Lee et al., 2007). Another work predicted 23,396 interactions based on multiple indirect data and curated 4,666 interactions from the literature and enzyme complexes (Cui et al., 2008). The Arabidopsis reactome database was established describing the functions of 2,195 proteins with 8,269 reactions in 318 superpathways (Tsesmetzis et al., 2008). And a general interaction database, IntAct (Kerrien et al., 2006), had allocated a special unit actively curating all plant protein interactions from literature and submitted data sets, which now contains 2,649 Arabidopsis interactions. However, in yeast, approximately 18,000 protein-protein interactions had been estimated for approximately 6,000 genes (Yu et al., 2008). Assuming the same rate of interaction, approximately 200,000 protein interactions would be expected for approximately 20,000 Arabidopsis genes. Therefore, the current collection of Arabidopsis interactions is still significantly limited. Moreover, most previous prediction works did not provide rigorous confidence measurements for their predicted interactions, which further limited their scope of applications.Recent advances in statistical learning presented a powerful algorithm, support vector machine (SVM), which may be used to predict interactions based on multiple indirect data. Although the basis of SVM had been laid in the 1960s, the idea of SVM was only officially proposed in the 1990s by Vapnik (1998, 2000). Then, research on its theoretical and application aspects thrived. It has been applied in a wide range of problems, including text categorization (de Vel et al., 2001; Kim et al., 2001), image classification and object detection (Ben-Yacoub et al., 1999; Karlsen et al., 2000), flood stage forecasting (Liong and Sivapragasam, 2002), microarray gene expression data analysis (Brown et al., 2000), drug design (Zhao et al., 2006a, 2006b), protein solvent accessibility prediction (Yuan et al., 2002), and protein fold prediction (Ding and Dubchak, 2001; Hua and Sun, 2001). Many studies have demonstrated that SVM was consistently superior to other supervised learning methods (Brown et al., 2000; Burbidge et al., 2001; Cai et al., 2003).In this work, with careful preparation of example data and selection of indirect evidence, we constructed an SVM model to predict potential Arabidopsis interactions. False positives were tightly controlled. With the high-confidence model, we identified altogether 224,206 potential interactions, which were expected to be 48.67% accurate and to cover 29.02% of the entire Arabidopsis interactome. More specific confidence measurements were also assigned on a per interaction basis. To facilitate the use of our results, we present the Predicted Arabidopsis Interactome Resource (PAIR; http://www.cls.zju.edu.cn/pair/), featuring detailed annotations and a friendly user interface.     

Expression pattern of mouse sFRP-1 and mWnt-8 gene during heart morphogenesis

The Wnt genes encode a large family of secreted proteins that play a key role in embryonic development and tissue differentiation in many species (Rijsewijk et al., 1987 and Nusse and Varmus, 1992). Genetic and biochemical studies have suggested that the frizzled proteins are cell surface receptors for Wnts (Vinson et al., 1989, Chan et al., 1992, Bhanot et al., 1996 and Wang et al., 1996). In parallel, a number of secreted frizzled-like proteins with a conserved N-terminal frizzled motif have been identified (Finch et al., 1997, Melkonyan et al., 1997 and Rattner et al., 1997). One of these proteins, FrzA, the bovine counterpart of the murine sFRP-1 (93% identity) is involved in vascular cell growth control, binds Wg in vitro and antagonizes Xwnt-8 and hWnt-2 signaling in Xenopus embryos (Xu et al., 1998 and Duplàa et al., 1999). In this study, we report that sFRP-1 is expressed in the heart and in the visceral yolk sac during mouse development, and that sFRP-1 and mWnt-8 display overlapping expression patterns during heart morphogenesis. From 8.5 to 12.5 d.p.c., sFRP-1 is expressed in cardiomyocytes together with mWnt-8 but neither in the pericardium nor in the endocardium; at 17.5 d.p.c., they are no longer present in the heart. In mouse adult tissues, while sFRP-1 is highly detected in the aortic endothelium and media and in cardiomyocytes, mWnt-8 is not detected in these areas. Immunoprecipitation experiments demonstrates that FrzA binds to mWnt-8 in cell culture experiments.     

Probability models and the applicability of statistical procedures in the identification of chromosomal fragile sites

Summary. Böhm et al. (1995, Human Genetics 95 , 249–256) introduced a statistical model (named FSM–fragile site model) specifically designed for the identification of fragile sites from chromosomal breakage data. In response to claims to the contrary (Hou et al., 1999, Human Genetics 104 , 350–355; Hou et al., 2001, Biometrics 57 , 435–440), we show how the FSM model is correctly modified for application under the assumption that the probability of random breakage is proportional to chromosomal band length and how the purportedly alternative procedures proposed by Hou, Chang, and Tai (1999, 2001) are variations of the correctly modified FSM algorithm. With the exception of the test statistic employed, the procedure described by Hou et al. (1999) is shown to be functionally identical to the correctly modified FSM and the application of an incorrectly modified FSM is shown to invalidate all of the comparisons of FSM to the alternatives proposed by Hou et al. (1999, 2001). Last, we discuss the statistical implications of the methodological variations proposed by Hou et al. (2001) and emphasize the logical and statistical necessity for fragile site identifications to be based on data from single individuals.