A Multivariate Procedure for Linear Comparisons of Mean Vectors when Residual Covariance and Regression Coefficient Matrices are Unequal

A multivariate procedure for testing linear comparisons of vectors of adjusted group means of response (dependent) variables when groups differ in residual covariance and regression coefficient matrices is presented. Such disparities have been observed in investigations of trends in contaminant levels in fish. Application of the procedure is illustrated with data on Atlantic cod (Gadus morhua). The procedure is quite general and can be employed to test any linear comparisons.     

Retroviral vectors for human gene delivery

The potential for gene therapy to cure a wide range of diseases has lead to high expectations and a great increase in research efforts in this area. At present, viral vectors are the most efficient means of delivering a corrective gene into human cells. While a number of different viral vectors are under development, retroviral vectors are currently the most common type used in clinical trials today. However, the production of retroviral vectors for gene therapy applications faces a number of challenges. Of primary concern is the low titre of vector stocks produced by packaging cells in culture and the inherent instability of retroviral vector activity. The problems facing large-scale retroviral vector production are outlined in this review and the research efforts by a number of groups who have attempted to optimise production methods are presented.     

Comparing Vectors of Adjusted Means when Covariance Matrices are Unequal

The ability to distinguish between stocks of fish is of vital importance in fisheries management programs. Morphometric measurements are commonly employed to separate biological populations. Unique role of multivariate analysis of covariance in separating fish stocks has been recognized recently. However, fish populations frequently differ in their covariance matrices and sometimes also in vectors of slope (on the covariate) coefficients. In this article the following are presented: (a) a procedure for comparing adjusted (for variations in body sizes of specimens) mean vectors of populations with unequal covariance matrices and slopes, and (b) a study to distinguish between beaked redfishes based on the analysis of a real data set by this procedure. This will also serve as a numerical example.     

Simple cloning strategy using GFPuv gene as positive/negative indicator

Because construction of expression vectors is the first requisite in the functional analysis of genes, development of simple cloning systems is a major requirement during the postgenomic era. In the current study, we developed cloning vectors for gain- or loss-of-function studies by using the GFPuv gene as a positive/negative indicator of cloning. These vectors allow us to easily detect correct clones and obtain expression vectors from a simple procedure by means of the combined use of the GFPuv gene and a type IIS restriction enzyme.     

A new nonparametric approach for baseline covariate adjustment for two-group comparative studies

SUMMARY: We consider two-armed clinical trials in which the response and/or the covariates are observed on either a binary, ordinal, or continuous scale. A new general nonparametric (NP) approach for covariate adjustment is presented using the notion of a relative effect to describe treatment effects. The relative effect is defined by the probability of observing a higher response in the experimental than in the control arm. The notion is invariant under monotone transformations of the data and is therefore especially suitable for ordinal data. For a normal or binary distributed response the relative effect is the transformed effect size or the difference of response probability, respectively. An unbiased and consistent NP estimator for the relative effect is presented. Further, we suggest a NP procedure for correcting the relative effect for covariate imbalance and random covariate imbalance, yielding a consistent estimator for the adjusted relative effect. Asymptotic theory has been developed to derive test statistics and confidence intervals. The test statistic is based on the joint behavior of the estimated relative effect for the response and the covariates. It is shown that the test statistic can be used to evaluate the treatment effect in the presence of (random) covariate imbalance. Approximations for small sample sizes are considered as well. The sampling behavior of the estimator of the adjusted relative effect is examined. We also compare the probability of a type I error and the power of our approach to standard covariate adjustment methods by means of a simulation study. Finally, our approach is illustrated on three studies involving ordinal responses and covariates.     

A Robust Procedure for Comparing Multiple Means under Heteroscedasticity in Unbalanced Designs

Investigating differences between means of more than two groups or experimental conditions is a routine research question addressed in biology. In order to assess differences statistically, multiple comparison procedures are applied. The most prominent procedures of this type, the Dunnett and Tukey-Kramer test, control the probability of reporting at least one false positive result when the data are normally distributed and when the sample sizes and variances do not differ between groups. All three assumptions are non-realistic in biological research and any violation leads to an increased number of reported false positive results. Based on a general statistical framework for simultaneous inference and robust covariance estimators we propose a new statistical multiple comparison procedure for assessing multiple means. In contrast to the Dunnett or Tukey-Kramer tests, no assumptions regarding the distribution, sample sizes or variance homogeneity are necessary. The performance of the new procedure is assessed by means of its familywise error rate and power under different distributions. The practical merits are demonstrated by a reanalysis of fatty acid phenotypes of the bacterium Bacillus simplex from the “Evolution Canyons” I and II in Israel. The simulation results show that even under severely varying variances, the procedure controls the number of false positive findings very well. Thus, the here presented procedure works well under biologically realistic scenarios of unbalanced group sizes, non-normality and heteroscedasticity.     

The application of a sequential procedure with elimination as a method for the screening for metabolic diseases

A sequential classification procedure with early elimination, for the screening for metabolic diseases, is presented. Asymptotic properties of the procedure are derived in the Appendix and it is shown that the procedure is asymptotically distribution-free under certain assumptions, and asymptotically at least as efficient as a comparable fixed-sample procedure. With the use of data obtained from 36 mentally retarded patients, the procedure was evaluated by means of a bootstrap simulation. The procedure was then applied to this set of data, with satisfactory results and a considerable economy in observations.     

Gene fusion vectors based on the gene for staphylococcal protein A

Two plasmid vectors, containing the gene coding for staphylococcal protein A and adapted for gene fusion, have been constructed. These vectors will allow fusion of any gene to the protein A gene, thus giving hybrid proteins which can be purified, in a one-step procedure, by IgG affinity chromatography. As an example of the practical use of such vectors, the protein A gene has been fused to the lacZ gene of Escherichia coli. E. coli strains containing such plasmids produce hybrid proteins with both IgG binding and β-galactosidase activities. The hybrid protein(s) can be immobilized on IgG-Sepharose by its protein A moiety with high efficiency without losing its enzymatic activity and they can be eluted from the column by competitive elution with pure protein A. The fused protein(s) also binds to IgG-coated microtiter wells which means that the in vivo product can be used as an enzyme conjugate in ELISA tests.     

Tests for profile analysis of paired curves based on friedman ranking methods

Two nonparametric tests are proposed for the comparison of a paired sample of response curves with T congruent time points. The first procedure rank transforms each curve and tests the homogeneity of the resulting pair of averaged rank vectors. The second procedure rank transforms each pair of curves and tests the homogeneity of the related pair of averaged rank vectors. The first test detects only pure interactions; the second test checks if any difference exists between the rank curves. Both tests are presented in finite and asymptotic as well as in combined (by T singular tests) and multivariate form.     

A new procedure for data reduction in electrophoretic fingerprints of whole-cell proteins

A procedure for the treatment of electrophoretic patterns is presented and discussed using SDS-PAGE patterns of whole-cell proteins of lactic acid bacteria as an example. Complex patterns consisting of two vectors of data [molecular weights (MW), and band intensities] with varying length were transformed in a single vector of fixed length consisting of band intensities accumulated in classes of MW by a logistic weighting function. The procedure performed better than a commercial software (Diversity Database) in clustering the patterns.     

Automatic image segmentation with linear clustering for quantification of neointimal formation after surgical vein grafting

OBJECTIVE: To identify extracellular matrix deposition on combined Masson elastin stains from cross-sectional, fixed vein grafts. STUDY DESIGN: Source vectors from RGB components of color images are transformed into new vectors with most of the energy concentrated in fewer coefficients based on the eigenvalues and eigenvectors of their co-variance matrix so their dimension can be reduced for efficient computation and analysis. The vectors are distributed in a triangular shape in which most vectors are located in a long, narrow strip that can be approximated by a straight line while a separate group of vectors from collagen areas form a loose cluster away from the line. An iterative procedure has been developed for the representative vectors in the 2 centroids for linear and circular clusters. The linear centroid consists of all vectors in a straight line, and the centroid of the circular cluster is a single vector. Vector classification is based on the measure of its distance to each of the 2 centroids. RESULTS: The automatic segmentation of the collagen content pixels in green-blue matches the image background color. CONCLUSION: The procedure automatically quantifies and characterizes the neointimal deposition after surgical vein grafting in mice.     

Binary vectors for efficient transformation of rice

We constructed binary vectors that were designed for transfer and expression of a gene into rice chromosomes. The binary vectors contained the hygromycin-resistance gene for selection of transformants and multiple-cloning sites within the transfer DNA. In addition, vectors were designed to express foreign genes using four kinds of promoters. We also report a procedure for efficient transformation of rice plants using scutellum-derived calli and theAgrobacterium strain LBA4404.     

Error Normality Testing in a Model of Two-Way Nested Classification

The paper deals with the construction of a normality test for the verification of the assumption about normal distribution of random errors in a fixed model of two-way nested classification. For this purpose adequate linear transformations and orthogonal observable random vectors have been presented. To the adjusted residual vector obtained after these transformations, the D'Agostino normality test has been applied.     

New ligation-independent cloning vectors compatible with a high-throughput platform for parallel construct expression evaluation using baculovirus-infected insect cells

Biomedical research has undergone a major shift in emphasis over the past decade from characterizing the genomes of organisms to characterizing their proteomes. The high-throughput approaches that were successfully applied to sequencing of genomes, such as miniaturization and automation, have been adapted for high-throughput cloning and protein production. High-throughput platforms allow for a multi-construct, multi-parallel approach to expression optimization and construct evaluation. We describe here a series of baculovirus transfer and expression vectors that contain ligation-independent cloning regions originally designed for use in high-throughput Escherichia coli expression evaluation. These new vectors allow for parallel cloning of the same gene construct into a variety of baculovirus or E. coli expression vectors. A high-throughput platform for construct expression evaluation in baculovirus-infected insect cells was developed to utilize these vectors. Data from baculovirus infection expression trials for multiple constructs of two target protein systems relevant to the study of human diseases are presented. The target proteins exhibit a wide variation in behavior and illustrate the benefit of investigating multiple cell types, fusion partners and secretion signals in optimization of constructs and conditions for eukaryotic protein production.     

Inhibition of oncogene expression using vector-generated RNA antisense.

Antisense RNA expression vectors have been developed relatively recently as a means to study the role of specific oncogenes in malignant transformation. In this paper, strategies for the construction of antisense plasmid vectors from commercially available reagents are described. Techniques for the introduction of these vectors into cell lines and tumors are also described and preferred methods for the evaluation of biological effects are presented. Lastly, using specific examples, the limitations and potential artifacts associated with antisense vector use in the study of tumorigenesis are discussed.     

Genetic transformation of mosquitoes: a quest for malaria control

Malaria inflicts an enormous toll in human lives and this burden is increasing. Present means to fight the disease, such as drugs and insecticides, are insufficient. Moreover, an effective vaccine has not yet been developed. This review examines an alternative strategy for malaria control, namely the genetic modification of mosquitoes to make them inefficient vectors for the parasite. The article summarises progress made toward the development of transposable element vectors for germ line transformation and the search for mosquito markers of transformation. Also reviewed is the search for anti-malarial effector genes whose products can inhibit development of the parasite in the mosquito with minimal fitness burden. While much progress has been made, much work remains to be done. Future research directions are discussed.     

A statistical procedure for the analysis of microbial communities based on phenotypic properties of isolates

A novel statistical procedure for the analysis of microbial communities based on phenotypic properties of randomly collected isolates is presented and discussed. The procedure allows the representation of the microbial communities as a set of ellipses in a bidimensional graph. This representation is obtained by the following steps: (a) measurement of a set of binary phenotypic properties for n isolates belonging to k samples, each representing a different community; (b) repeated sampling by bootstrapping of the m samples, thus obtaining, for each community, i subsamples of j isolates; (c) calculation of the frequency of positive results for each test for each subsample; (d) calculation of the matrix of Euclidean distances between the k x i frequency vectors; (e) use of multidimensional scaling (MDS) to obtain a representation in two dimensions of the distance relationships between the frequency vectors; (f) plotting of the 95% confidence ellipses for the i frequency vectors of each of the k communities. By using both simple, synthetic microbial communities, and samples of lactic acid bacteria isolated from natural microbial communities (sourdoughs, compressed yeast, fermented sausages), it was demonstrated that the position and shape of the ellipses are clearly related to the composition of the community, while the relationship between the size of the ellipses and the phenotypical diversity of the community is less straightforward: while communities with very different diversity (measured with the Functional Evenness index and the mean taxonomic distance) had ellipses that were very different in size, there was no strict proportionality between the size of the ellipse and the diversity of the community. Nevertheless, the representation of microbial communities obtained by bootstrapping and multidimensional scaling appears to be superior to the more usual representation based on tabulation of the frequencies of isolates belonging to different clusters.     

Testing type II error rates in biological anthropology

This paper presents a look at the underused procedure of testing for Type II errors when "negative" results are encountered during research. It recommends setting a statistical alternative hypothesis based on anthropologically derived information and calculating the probability of committing this type of error. In this manner, the process is similar to that used for testing Type I errors, which is clarified by examples from the literature. It is hoped that researchers will use the information presented here as a means of attaching levels of probability to acceptance of null hypotheses.     

Reconfiguring gene traps for new tasks using iTRAC

We recently developed integrase-mediated trap conversion (iTRAC) as a means of exploiting gene traps to create new genetic tools, such as markers for imaging, drivers for gene expression and landing sites for gene and chromosome engineering. The principle of iTRAC is simple: primary gene traps are generated with transposon vectors carrying φC31 integrase docking sites, which are subsequently utilized to integrate different constructs into the selected trapped loci. Thus, iTRAC allows us to reconfigure selected traps for new purposes. Two features make iTRAC an attractive approach for Drosophila research. First, its versatility permits the exploitation of gene traps in an open-ended way, for applications that were not envisaged during the primary trapping screen. Second, iTRAC is readily transferable to new species and provides a means for developing complex genetic tools in drosophilids that lack the facility of Drosophila melanogaster genetics.