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Results for “binary vectorization”

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PubMed1997

Development and characterization of a binary gene expression system based on bacteriophage T7 components in adenovirus vectors.

To explore the utility of the bacteriophage T7 binary system in adenovirus (Ad) vectors we constructed three Ad5-based vectors containing the T7 RNA polymerase (T7pol) gene in either early region 1 (E1) or E3. The recombinant Ad vectors were either deficient (AdT7pol1, AdT7pol2) or competent (AdT7pol3) for replication in human cells other than Ad5 transformed (293) cells. To test the ability of the T7 polymerase produced by these vectors to drive gene expression, a reporter vector was constructed with an E1 substitution comprising the bacterial beta-galactosidase (betaGal) (lacZ) gene under the control of the T7 gene 10 promoter (T7pro) and linked to the encephalomyocarditis virus (EMCV) internal ribosome entry site (IRES) (AdBHG10T7betaGal). Coinfections were performed with the various AdT7pol vectors and the reporter vector, and expression was analysed in three different human cell lines: 293, A549 and MRC-5. Depending on the AdT7pol vector used, different levels of expression were obtained from the reporter gene. In 293 cells, expression was detected following infection at very low multiplicities of infection (moi) with all of the T7pol vectors when coinfected with the reporter vector AdBHG10T7betaGal. In A549 and MRC-5 cells very little expression was detected using AdT7pol1 or pol2 and efficient expression was only obtained when relatively high moi values of the replication-competent vector were used in the coinfections. We also constructed a single vector containing both elements of the T7 system (T7pol in E3 and T7 promoter driving expression of the chloramphenicol acetyl transferase (cat) gene in E1). This vector proved difficult to rescue but was stable once isolated. Finally, experiments performed to evaluate the 'leakiness' of the Ad-T7 system detected very little expression from the T7pro in the absence of T7 polymerase suggesting this system may be useful for the cloning and expression of genes encoding cytotoxic proteins.

Adenoviridae↗

PubMed2006

Estimation in regression models for longitudinal binary data with outcome-dependent follow-up.

In many observational studies, individuals are measured repeatedly over time, although not necessarily at a set of pre-specified occasions. Instead, individuals may be measured at irregular intervals, with those having a history of poorer health outcomes being measured with somewhat greater frequency and regularity. In this paper, we consider likelihood-based estimation of the regression parameters in marginal models for longitudinal binary data when the follow-up times are not fixed by design, but can depend on previous outcomes. In particular, we consider assumptions regarding the follow-up time process that result in the likelihood function separating into two components: one for the follow-up time process, the other for the outcome measurement process. The practical implication of this separation is that the follow-up time process can be ignored when making likelihood-based inferences about the marginal regression model parameters. That is, maximum likelihood (ML) estimation of the regression parameters relating the probability of success at a given time to covariates does not require that a model for the distribution of follow-up times be specified. However, to obtain consistent parameter estimates, the multinomial distribution for the vector of repeated binary outcomes must be correctly specified. In general, ML estimation requires specification of all higher-order moments and the likelihood for a marginal model can be intractable except in cases where the number of repeated measurements is relatively small. To circumvent these difficulties, we propose a pseudolikelihood for estimation of the marginal model parameters. The pseudolikelihood uses a linear approximation for the conditional distribution of the response at any occasion, given the history of previous responses. The appeal of this approximation is that the conditional distributions are functions of the first two moments of the binary responses only. When the follow-up times depend only on the previous outcome, the pseudolikelihood requires correct specification of the conditional distribution of the current outcome given the outcome at the previous occasion only. Results from a simulation study and a study of asymptotic bias are presented. Finally, we illustrate the main results using data from a longitudinal observational study that explored the cardiotoxic effects of doxorubicin chemotherapy for the treatment of acute lymphoblastic leukemia in children.

Adolescent↗

PubMed2002

Genetic and physical mapping of a rice blast resistance locus, Pi-CO39(t), that corresponds to the avirulence gene AVR1-CO39 of Magnaporthe grisea.

We have identified, genetically mapped and physically delineated the chromosomal location of a new rice blast resistance locus, designated Pi-CO39(t). This locus confers resistance to Magnaporthe grisea isolates carrying the AVR1-CO39 avirulence locus. The AVR1-CO39 locus is conserved in non-rice (cereals and grasses)-infecting isolates of M. grisea, making Pi-CO39(t) useful for engineering M. grisea resistance in rice and other cereals. The resistance in the rice line CO39 was inherited as a single dominant locus in segregating populations derived from F(2) and F(3) crosses between disease-resistant (CO39) and susceptible (51583) rice genotypes. Microsatellite, RFLP and resistance gene analog (RGA) markers were used to map the Pi-CO39(t) locus to a 1.2-cM interval between the probenazole-responsive ( RPR1) gene (0.2 cM) and RFLP marker S2712 (1.0 cM) on the short arm of rice chromosome 11. RFLP markers G320 and F5003, and resistance gene analogs RGA8, RGA38 and RGACO39 were tightly linked to the Pi-CO39(t) locus (no recombination detected in a sample of ~2400 gametes). A large-insert genomic library of CO39 was constructed in the binary plant transformation vector pCLD04541. A library screen using RGA8, RGA38 and probes derived from the ends of CO39 clones, as well as BAC end probes from the corresponding locus in the rice cv. Nipponbare, resulted in the assembly of three CO39 contigs of 180 kb, 110 kb and 145 kb linked to the Pi-CO39(t) locus. A 650-kb contig was also constructed representing the susceptible locus, pi-CO39(t), in the Nipponbare genome. The two genomes are highly divergent with respect to additions, deletions and translocations at the Pi-CO39(t) locus, as revealed by the presence or absence of mapping markers.

Blotting, Southern↗

PubMed1994

Ectopic expression of a viral adenine methyltransferase gene in tobacco.

Plant genomes contain both methylated adenine and cytosine residues although the roles of these methylations are not well understood. A chlorella virus adenine methyltransferase gene under the control of cauliflower mosaic virus 35S promoter in a binary plant transformation vector was expressed both in transgenic tobacco plants and transformed tobacco calli. The transgenic plants as well as transformed calli produced functional adenine methyltransferase enzyme, but the level of expression was higher in tobacco calli. A transgenic tobacco cell line that expressed the methyltransferase enzyme and carried an Arabidopsis cab3 gene containing a single target site for the adenine methyltransferase enzyme showed that the adenine residue was not methylated. HPLC analysis of genomic DNA from transgenic calli also showed no detectable levels of methylated adenine residues.

Base Sequence↗

PubMed2006

Multimerization of peptide antigens for production of stable immunogens in transgenic plants.

Previous literature addressing the production of recombinant proteins in heterologous systems has consistently shown that proteins capable of forming complex structures tend to accumulate within host cells at relatively higher levels than monomeric forms. In this report, we translationally fused a 21-aminoacids long highly immunogenic peptide (2L21), derived from canine parvovirus (CPV) VP2 protein to a 41-aminoacid long tetramerization domain (TD) from the transcriptional factor p53. The chimerical DNA construction 2L21-TD was cloned in a binary plant transformation vector and used to transform Arabidopsis thaliana plants. Fifteen of the 25 transgenic lines obtained in the experiment showed detectable 2L21-TD RNA accumulation and from these we chose 4 to study 2L21-TD protein accumulation. Non-denaturing immunoblotting assays revealed that 2L21-TD chimeras effectively formed tetrameric complexes with yields reaching up to 12mug/mg of soluble protein. Mice immunized by oral or intraperitoneal routes with crude protein extracts containing 2L21-TD protein were able to detect both 2L21-synthetic peptide and CPV VP2 proteins, with titers similar to those elicited by a previously reported fusion between 2L21 and the beta-glucuronidase protein. These results demonstrate that multimerization directed by the small TD domain contributed to the stabilization and consequently to the accumulation of the 2L21 peptide in transgenic plants, without altering its native antigenicity and immunogenicity.

Amino Acid Sequence↗

PubMed2003

Constructs and methods for high-throughput gene silencing in plants.

Gene silencing can be achieved by transformation of plants with constructs that express self-complementary (termed hairpin) RNA containing sequences homologous to the target genes. The DNA sequences encoding the self-complementary regions of hairpin (hp) RNA constructs form an inverted repeat. The inverted repeat can be stabilized in bacteria through separation of the self-complementary regions by a "spacer" region. When the spacer sequence encodes an intron, the efficiency of gene silencing is very high. There are at least three ways in which hpRNA constructs can be made. The construct may be generated from standard binary plant transformation vectors in which the hairpin-encoding region is generated de novo for each gene. Alternatively, generic gene-silencing vectors such as the pHANNIBAL and the pHELLSGATE series can be used. They simply require the insertion of PCR products, derived from the target gene, into the vectors by conventional cloning or by using the Gateway directed recombination system. In this article, we describe and evaluate the advantages of these vectors and then provide the protocols for their efficient use.

Gene Silencing↗

PubMed2000

Identification of a novel plant virus promoter using a potyvirus infectious clone.

A putative promoter from the strawberry vein banding caulimovirus (SVBV) genome was identified by its ability to drive infection with full-length cDNA of the zucchini yellow mosaic RNA potyvirus (ZYMV). A high rate of infection was obtained with the cDNA under control of the SVBV promoter using particle bombardment technology. The SVBV promoter shows 60% homology to the cauliflower mosaic virus 35S promoter in the domain spanning the conserved motifs of CCACT (at -83) and the TATA box (at -31), to the transcription start. The 3'-end one-third of the putative promoter (328 bp) was sufficient to invoke full infectivity with the ZYMV clone, and drove transient reporter gene expression in Solanaceae and Cucurbitaceae transformed with a binary plant transformation vector. Stable expression of a reporter gene (GUS) under control of the truncated SVBV promoter was shown in transformed tobacco shoots in roots, leaves and stems.

Base Sequence↗

PubMed2006

Function approximation using generalized adalines.

This paper proposes neural organization of generalized adalines (gadalines) for data driven function approximation. By generalizing the threshold function of adalines, we achieve the K-state transfer function of gadalines which responds a unitary vector of K binary values to the projection of a predictor on a receptive field. A generative component that uses the K-state activation of a gadaline to trigger K posterior independent normal variables is employed to emulate stochastic predictor-oriented target generation. The fitness of a generative component to a set of paired data mathematically translates to a mixed integer and linear programming. Since consisting of continuous and discrete variables, the mathematical framework is resolved by a hybrid of the mean field annealing and gradient descent methods. Following the leave-one-out learning strategy, the obtained learning method is extended for optimizing multiple generative components. The learning result leads to parameters of a deterministic gadaline network for function approximation. Numerical simulations further test the proposed learning method with paired data oriented from a variety of target functions. The result shows that the proposed learning method outperforms the MLP and RBF learning methods for data driven function approximation.

Algorithms↗

PubMed2003

Multi-class support vector machines for protein secondary structure prediction.

The solution of binary classification problems using the Support Vector Machine (SVM) method has been well developed. Though multi-class classification is typically solved by combining several binary classifiers, recently, several multi-class methods that consider all classes at once have been proposed. However, these methods require resolving a much larger optimization problem and are applicable to small datasets. Three methods based on binary classifications: one-against-all (OAA), one-against-one (OAO), and directed acyclic graph (DAG), and two approaches for multi-class problem by solving one single optimization problem, are implemented to predict protein secondary structure. Our experiments indicate that multi-class SVM methods are more suitable for protein secondary structure (PSS) prediction than the other methods, including binary SVMs, because their capacity to solve an optimization problem in one step. Furthermore, in this paper, we argue that it is feasible to extend the prediction accuracy by adding a second-stage multi-class SVM to capture the contextual information among secondary structural elements and thereby further improving the accuracies. We demonstrate that two-stage SVMs perform better than single-stage SVM techniques for PSS prediction using two datasets and report a maximum accuracy of 79.5%.

Computational Biology↗

PubMed2000

Development of multigene and regulated lentivirus vectors.

Previously we described safe and efficient three-component human immunodeficiency virus type 1 (HIV-1)-based gene transfer systems for delivery of genes into nondividing cells (H. Mochizuki, J. P. Schwartz, K. Tanaka, R. O. Brady, and J. Reiser, J. Virol. 72:8873-8883, 1998). To apply such vectors in anti-HIV gene therapy strategies and to express multiple proteins in single target cells, we have engineered HIV-1 vectors for the concurrent expression of multiple transgenes. Single-gene vectors, bicistronic vectors, and multigene vectors expressing up to three exogenous genes under the control of two or three different transcriptional units, placed within the viral gag-pol coding region and/or the viral nef and env genes, were designed. The genes encoding the enhanced version of green fluorescent protein (EGFP), mouse heat-stable antigen (HSA), and bacterial neomycin phosphotransferase were used as models whose expression was detected by fluorescence-activated cell sorting, fluorescence microscopy, and G418 selection. Coexpression of these reporter genes in contact-inhibited primary human skin fibroblasts (HSFs) persisted for at least 6 weeks in culture. Coexpression of the HSA and EGFP reporter genes was also achieved following cotransduction of target cells using two separate lentivirus vectors encoding HSA and EGFP, respectively. For the regulated expression of transgenes, tetracycline (Tet)-regulatable lentivirus vectors encoding the reverse Tet transactivator (rtTA) and EGFP controlled by a Tet-responsive element (TRE) were constructed. A binary HIV-1-based vector system consisting of a lentivirus encoding rtTA and a second lentivirus harboring a TRE driving the EGFP reporter gene was also designed. Doxycycline-modulated expression of the EGFP transgene was confirmed in transduced primary HSFs. These versatile vectors can potentially be used in a wide range of gene therapy applications.

Animals↗

PubMed2006

Binary tree of SVM: a new fast multiclass training and classification algorithm.

We present a new architecture named Binary Tree of support vector machine (SVM), or BTS, in order to achieve high classification efficiency for multiclass problems. BTS and its enhanced version, c-BTS, decrease the number of binary classifiers to the greatest extent without increasing the complexity of the original problem. In the training phase, BTS has N - 1 binary classifiers in the best situation (N is the number of classes), while it has log4/3 ((N + 3)/4) binary tests on average when making a decision. At the same time the upper bound of convergence complexity is determined. The experiments in this paper indicate that maintaining comparable accuracy, BTS is much faster to be trained than other methods. Especially in classification, due to its Log complexity, it is much faster than directed acyclic graph SVM (DAGSVM) and ECOC in problems that have big class number.

Algorithms↗

PubMed2002

GATEWAY vectors for Agrobacterium-mediated plant transformation.

Agrobacterium tumefaciens is the preferred method for transformation of a wide range of plant species. Commonly, the genes to be transferred are cloned between the left and right T-DNA borders of so-called binary T-DNA vectors that can replicate both in E. coli and Agrobacterium. Because these vectors are generally large, cloning can be time-consuming and laborious. Recently, the GATEWAY conversion technology has provided a fast and reliable alternative to the cloning of sequences into large acceptor plasmids.

Agrobacterium tumefaciens↗

PubMed2006

A novel algebraic structure of the genetic code over the galois field of four DNA bases.

A novel algebraic structure of the genetic code is proposed. Here, the principal partitions of the genetic code table were obtained as equivalent classes of quotient spaces of the genetic code vector space over the Galois field of the four DNA bases. The new algebraic structure shows strong connections among algebraic relationships, codon assignment and physicochemical properties of amino acids. Moreover, a distance function defined between the codon binary representations in the vector space was demonstrated to have a linear behavior respect to physical variables such as the mean of amino acids interaction energies in proteins. It was also noticed that the distance between wild type and mutant codons approach to smaller values in mutational variants of four genes, i.e., human phenylalanine hydroxylase, human beta-globin, HIV-1 protease and HIV-1 reverse transcriptase. These results strongly suggest that deterministic rules must be involved in the genetic code origin.

Base Pairing↗

PubMed2002

Methods for binary multidimensional scaling.

Multidimensional scaling (MDS) is the process of transforming a set of points in a high-dimensional space to a lower-dimensional one while preserving the relative distances between pairs of points. Although effective methods have been developed for solving a variety of MDS problems, they mainly depend on the vectors in the lower-dimensional space having real-valued components. For some applications, the training of neural networks in particular, it is preferable or necessary to obtain vectors in a discrete, binary space. Unfortunately, MDS into a low-dimensional discrete space appears to be a significantly harder problem than MDS into a continuous space. This article introduces and analyzes several methods for performing approximately optimized binary MDS.

Algorithms↗

PubMed1993

Single-copy T-DNA insertions in Arabidopsis are the predominant form of integration in root-derived transgenics, whereas multiple insertions are found in leaf discs.

Different patterns of T-DNA integration in Arabidopsis were obtained that depended on whether a root or a leaf-disc transformation method was used. An examination of 82 individual transgenic Arabidopsis plants, derived from 15 independent Agrobacterium-mediated transformations in which different cointegrate and binary constructs were used, indicated that the transformation method had a significant influence on the type and copy number of T-DNA integration events. Southern hybridizations showed that most of the transgenic plants produced by a leaf-disc method contained multiple T-DNA insertions (89%), the majority of which were organized as right-border inverted repeat structures (58%). In contrast, a root transformation method mostly resulted in single T-DNA insertions (64%), with fewer right-border inverted repeats (38%). The transformation vectors, including cointegrate and binary types, and the plant selectable markers, hygromycin phosphotransferase and dihydrofolate reductase, did not appear to influence the T-DNA integration patterns.

Arabidopsis↗

PubMed2000

Large-scale T-DNA mutagenesis in Arabidopsis for functional genomic analysis.

In planta Agrobacterium-mediated transformation combined with a soil-based herbicide selection for transgenic plants was used to recover large numbers of transgenic Arabidopsis plants for functional genomic studies. A tissue-culture-free system for generating transgenic plants was achieved by infiltrating Arabidopsis plants with Agrobacterium tumefaciens harboring a binary T-DNA vector containing the phosphinothricin acetyltransferase gene from Streptomyces hygroscopicus, and by selecting transgenic Arabidopsis growing in soil by foliar application of the herbicide Finale (phosphinothricin). Analysis of herbicide-resistant plants indicated that all were transgenic and that the T-DNA transformation process occurred late during flower development, resulting in a preponderance of independently derived T-DNA insertions. T-DNA insertions were usually integrated in a concatenated, rearranged form, and using linkage analysis, we estimated that T1 plants carried between one and five T-DNA loci. Using pooling strategies, both DNA and seed pools were generated from about 38,000 Arabidopsis plants representing over 115,000 independent T-DNA insertions. We show the utility of these transgenic lines for identifying insertion mutations using gene sequence and PCR-based screening.

Agrobacterium tumefaciens↗

PubMed2005

Modular cloning in plant cells.

New plant genes are being discovered at a rapid pace. Yet, in most cases, their precise function remains elusive. The recent advent of recombinational cloning techniques has significantly improved our ability to investigate gene functions systematically. For example, proteins fused with diverse fluorescent tags can be expressed at will using versatile cloning cassettes. In addition, novel binary T-DNA vectors are now available to assemble multiple DNA fragments simultaneously, which greatly facilitate plant cell and protein engineering.

Cloning, Molecular↗

PubMedDate not supplied

Combinatorial QSAR modeling of P-glycoprotein substrates.

Quantitative structure-activity (property) relationship (QSAR/QSPR) models are typically generated with a single modeling technique using one type of molecular descriptors. Recently, we have begun to explore a combinatorial QSAR approach which employs various combinations of optimization methods and descriptor types and includes rigorous and consistent model validation (Kovatcheva, A.; Golbraikh, A.; Oloff, S.; Xiao, Y.; Zheng, W.; Wolschann, P.; Buchbauer, G.; Tropsha, A. Combinatorial QSAR of Ambergris Fragrance Compounds. J. Chem. Inf. Comput. Sci. 2004, 44, 582-95). Herein, we have applied this approach to a data set of 195 diverse substrates and nonsubstrates of P-glycoprotein (P-gp) that plays a crucial role in drug resistance. Modeling methods included k-nearest neighbors classification, decision tree, binary QSAR, and support vector machines (SVM). Descriptor sets included molecular connectivity indices, atom pair (AP) descriptors, VolSurf descriptors, and molecular operation environment descriptors. Each descriptor type was used with every QSAR modeling technique; so, in total, 16 combinations of techniques and descriptor types have been considered. Although all combinations resulted in models with a high correct classification rate for the training set (CCR(train)), not all of them had high classification accuracy for the test set (CCR(test)). Thus, predictive models have been generated only for some combinations of the methods and descriptor types, and the best models were obtained using SVM classification with either AP or VolSurf descriptors; they were characterized by CCR(train) = 0.94 and 0.88 and CCR(test) = 0.81 and 0.81, respectively. The combinatorial QSAR approach identified models with higher predictive accuracy than those reported previously for the same data set. We suggest that, in the absence of any universally applicable "one-for-all" QSAR methodology, the combinatorial QSAR approach should become the standard practice in QSPR/QSAR modeling.

ATP Binding Cassette Transporter, Subfamily B, Mem↗