Synthesis of probes for RNA using Qbeta-replicase.

Qβ replicase was used to make labeled RNA complementary to 5S, 18S and 28S ribosomal RNA and 9S histone mRNA. These copies appear to be the same size as the parental RNA strand. The kinetics of annealing of these probes shows a proportionality between the rate and the complexity of the RNA molecule used as template.     

Unequal crossing-over and gene conversion at the amplified CUP1 locus of yeast

Summary Meiotic recombination was analyzed between two twelve-copy arrays of a gene amplification at theCUP1 locus ofSaccharomyces cerevisiae. Utilizing Southern analysis to identify spores with non-parental repeat arrays, we find that approximately 11% of a sample with 202 unselected tetrads possess at least one nonparental spore array. Both reciprocal and non-reciprocal changes are observed. The data suggest a model in which frequent mispairing among identical copies of the 2.0 kb repeat unit leads to the formation of unpaired loops containing integral numbers of repeat units. In this model, conversions involving the loops lead to non-reciprocal changes in arrays: about half are associated with reciprocal exchange, and net increases in repeat unit numbers occur about as frequently as net decreases. Thus, the known properties of gene conversion can account for all the segregations we observe.     

Insertion of nonhomologous DNA into the yeast genome mediated by homologous recombination with a cotransforming plasmid

Bacterial plasmids containing no detectable homology with yeast DNA sequences were inserted into the yeast genome by cotransforming with a plasmid containing a yeast gene. Analysis of the yeast transformants confirmed that recombination events occurred between the prokaryotic sequences shared by the two plasmids and between the yeast sequences common to the cotransforming plasmid and to the genome. Multiple copies of the two plasmids, in both tandem and interspersed arrays, are inserted by this method. Populations of cells grown from individual transformants are heterogenous for the number of integrated sequences. The number of integrated bacterial sequences is greatly reduced after 100 generations of growth in the populations that initially contained large numbers of sequences, while it is stable in those populations that initially contained either a single or a small number of copies.     

Fundamentals of DNA hybridization arrays for gene expression analysis

DNA hybridization arrays [also known as macroarrays, microarrays and/or high-density oligonucleotide arrays (Gene Chips)] bring gene expression analysis to a genomic scale by permitting investigators to simultaneously examine changes in the expression of literally thousands of genes. For hybridization arrays, the general approach is to immobilize gene-specific sequences (probes) on a solid state matrix (nylon membranes, glass microscope slides, silicon/ceramic chips). These sequences are then queried with labeled copies of nucleic acids from biological samples (targets). The underlying theory is that the greater the expression of a gene, the greater the amount of labeled target, and hence, the greater output signal. In spite of the simplicity of the experimental design, there are at least four different platforms and several different approaches to processing and labeling the biological samples. Moreover, investigators must also determine whether they will utilize commercially available arrays or generate their own. This review will cover the status of the hybridization array field with an eye toward underlying principles and available technologies. Future developments and technological trends will also be evaluated.     

Targeted protein-omic methods are bridging the gap between proteomic and hypothesis-driven protein analysis approaches

While proteomic methods have illuminated many areas of biological protein space, many fundamental questions remain with regard to systems-level relationships between mRNAs, proteins and cell behaviors. While mass spectrometric methods offer a panoramic picture of the relative expression and modification of large numbers of proteins, they are neither optimal for the analysis of predefined targets across large numbers of samples nor for assessing differences in proteins between individual cells or cell compartments. Conversely, traditional antibody-based methods are effective at sensitively analyzing small numbers of proteins across small numbers of conditions, and can be used to analyze relative differences in protein abundance and modification between cells and cell compartments. However, traditional antibody-based approaches are not optimal for analyzing large numbers of protein abundances and modifications across many samples. In this article, we will review recent advances in methodologies and philosophies behind several microarray-based, intermediate-level, ‘protein-omic’ methods, including a focus on reverse-phase lysate arrays and micro-western arrays, which have been helpful for bridging gaps between large- and small-scale protein analysis approaches and have provided insight into the roles that protein systems play in several biological processes.     

Targeted protein-omic methods are bridging the gap between proteomic and hypothesis-driven protein analysis approaches

While proteomic methods have illuminated many areas of biological protein space, many fundamental questions remain with regard to systems-level relationships between mRNAs, proteins and cell behaviors. While mass spectrometric methods offer a panoramic picture of the relative expression and modification of large numbers of proteins, they are neither optimal for the analysis of predefined targets across large numbers of samples nor for assessing differences in proteins between individual cells or cell compartments. Conversely, traditional antibody-based methods are effective at sensitively analyzing small numbers of proteins across small numbers of conditions, and can be used to analyze relative differences in protein abundance and modification between cells and cell compartments. However, traditional antibody-based approaches are not optimal for analyzing large numbers of protein abundances and modifications across many samples. In this article, we will review recent advances in methodologies and philosophies behind several microarray-based, intermediate-level, 'protein-omic' methods, including a focus on reverse-phase lysate arrays and micro-western arrays, which have been helpful for bridging gaps between large- and small-scale protein analysis approaches and have provided insight into the roles that protein systems play in several biological processes.     

Large SNP arrays for genotyping in crop plants

Genotyping with large numbers of molecular markers is now an indispensable tool within plant genetics and breeding. Especially through the identification of large numbers of single nucleotide polymorphism (SNP) markers using the novel high-throughput sequencing technologies, it is now possible to reliably identify many thousands of SNPs at many different loci in a given plant genome. For a number of important crop plants, SNP markers are now being used to design genotyping arrays containing thousands of markers spread over the entire genome and to analyse large numbers of samples. In this article, we discuss aspects that should be considered during the design of such large genotyping arrays and the analysis of individuals. The fact that crop plants are also often autopolyploid or allopolyploid is given due consideration. Furthermore, we outline some potential applications of large genotyping arrays including high-density genetic mapping, characterization (fingerprinting) of genetic material and breeding-related aspects such as association studies and genomic selection.     

Predator: non-predator ratios in beetle assemblages

Summary In common with samples from less taxonomically constrained studies, significant correlations exist between the numbers of predatory and non-predatory species in assemblages of terrestrial beetles. Under logarithmic transformation the relationship can be described reasonably well by a straight line. Explanations for predator: non-predator relationships based on the dynamics of trophic interactions (e.g. competition for prey types or enemy-free space) seem insufficient to explain this pattern, because within beetle assemblages the necessary interactions are so few. Of other proposed determinants, those based on the relationship of local and regional species pools, on energetics, or on non-trophic factors seem the most plausible candidates for explaining proportionality amongst beetles. Much of the deviation from the overall pattern can be accounted for by sampling method and latitude. Temperate samples have a higher proportion of predatory species than tropical, whilst litter and pitfall trap samples have higher proportions of predatory species than Malaise trap and fogging samples.     

Recombination of the internal direct repeat element DR2 responsible for the fluidity of the a sequence of herpes simplex virus type 1.

A series of herpes simplex virus type 1 derivatives, having a sequences composed of DR1, Ub, (DR2)3-7, DR4t (a truncated form of DR4), and Uc were isolated and examined. The derivative having a sequences with six copies of DR2 generated progeny viruses having a sequences with the same number (six copies) of DR2. Another derivative, having a sequences with three and seven copies of DR2, generated progeny viruses having a sequences with varied numbers (4, 5, 8, and 10 copies) of DR2, besides the original DR2 arrays (three and seven copies). Therefore, the variation in copy number of DR2 was assumed to be caused mainly by recombination between DR2 arrays rather than by slippage within a DR2 array during DNA replication. The presence of DR2-like sequences in internal direct repeat elements of DR4 and DR3.5 supported the hypothesis of the recombinogenic property of DR2. The equal distribution of divergence of a sequences to both ends of the virus genome favors the double-strand break and gap repair model to explain gene conversion and amplification of the a sequence.     

The kinetics of urinary shedding of BK virus in children with renal disease

Children with renal diseases are typically treated with immunosuppressive drugs, which place them at high risk of reactivation of the BK virus (BKV). Currently, little is known about the impact of immunosuppressive drugs on the kinetics of urinary shedding of BKV and viral reactivation in pediatric patients with renal diseases. Urine samples were collected monthly for 1 year from 20 children (median age, 9 years; range, 4–15 years) with renal diseases and subjected to real‐time PCR. Urinary shedding of BKV was detected in 35% (7/20) of the patients, three of these patients having persistent viral DNA excretion (two cases, twelve times; one case, four times) and four having intermittent viral DNA excretion. Thirty‐four of the 240 urine samples contained BKV DNA (median copy numbers, 5.66 log copies/mL; range, 2.45–7.69 log copies/mL). In two of the cases with persistent viral shedding, high copy numbers (range, 4.57–7.69 log copies/mL) of BKV DNA were detected in all 12 urine samples collected. In the other case with persistent viral excretion, a range of 2.45–3.98 log copies/mL of BKV DNA was detected in the four urine samples collected between the 9th and 12th sampling time points. Additionally, high copy numbers (range, 3.12–4.36 log copies/mL) of BKV DNA were detected intermittently in the urine samples of the other four cases. No remarkable correlations were found between the kinetics of BKV DNA loads and urinary findings such as proteinuria and hematuria. The present data demonstrate the kinetics of urinary BKV shedding in pediatric patients with renal diseases. Additionally, no pathogenic role for BKV infection was identified.     

Optimising two-dye microarray designs for estimating associations with a quantitative trait

We discuss how the samples should be arranged in two-dye microarray studies when the objective is to investigate associations between gene expression and quantitative traits measured on each sample. Because there is typically large between array variation, information about the association will come from the differences in traits and expression measurements between the two values hybridised to the two dyes on the same array. It is shown that within-slide correlation of trait values should be minimised. The arrangement of samples for which this occurs will depend on the trait values in question, and is a computationally demanding problem. An alternative is to minimise the rank correlation. We discuss this and related issues for different combinations of numbers of samples and arrays. Data analysis, including estimation of the variance components, is also described.     

Sample size for identifying differentially expressed genes in microarray experiments.

Microarray technology allows simultaneous comparison of expression levels of thousands of genes under each condition. This paper concerns sample size calculation in the identification of differentially expressed genes between a control and a treated sample. In a typical experiment, only a fraction of genes (altered genes) is expected to be differentially expressed between two samples. Sample size determination depends on a number of factors including the specified significance level (alpha), the desired statistical power (1-beta), the fraction (eta) of truly altered genes out of the total g genes studied, and the effect sizes (Delta) for the altered genes. This paper proposes a method to calculate the number of arrays required to detect at least 100lambda % (where 0 < lambda < or = 1) of the truly altered genes under the model of an equal effect size for all altered genes. The required numbers of arrays are tabulated for various values of alpha, beta, Delta, eta, and lambda for the one-sample and two-sample t-tests for g = 10,000. Based on the proposed approach, to identify up to 90% of truly altered genes among the unknown number of truly altered genes, the estimated numbers of arrays needed appear to be manageable. For instance, when the standardized effect size is at least 2.0, the number of arrays needed is less than or equal to 14 for the two-sample t-test and is less than or equal to 10 for the one-sample t-test. As the cost per array declines, such array numbers become practical. The proposed method offers a simple, intuitive, and practical way to determine the number of arrays needed in microarray experiments in which the true correlation structure among the genes under investigation cannot be reasonably assumed. An example dataset is used to illustrate the use of the proposed approach to plan microarray experiments.     

Paneth cell antimicrobial peptides: topographical distribution and quantification in human gastrointestinal tissues

Antimicrobial peptides and proteins are key effectors of innate immunity, expressed both by circulating phagocytic cells and by epithelial cells of mucosal tissues. In the human small intestine, Paneth cells are secretory epithelial cells that express the antimicrobials human alpha-defensin-5 (HD5), HD6, lysozyme and secretory phospholipase A(2) (sPLA(2)), and recent studies have implicated reduced HD5 and HD6 expression levels in the pathogenesis of ileal Crohn's disease. However, expression levels of these molecules have not been determined routinely by techniques that readily permit quantitative comparisons of their distribution between tissues and samples. Using quantitative real-time PCR with external standards and Northern blot analysis, we compared expression levels of mRNA encoding these four Paneth cell antimicrobial peptides, as well as circulating human neutrophil defensins in several different gastrointestinal tissues and the bone marrow. HD5 and HD6 were the most abundant antimicrobials expressed in the small intestine. The concentration of HD5 mRNA is approximately 5 x 10(5) copies per 10ng RNA in the jejunum and ileum; HD6 mRNA levels were about six times lower than those of HD5. With the exception of low levels in the pancreas (10(3) copies/10 ng RNA), the expression of HD5 and HD6 in tissues other than small intestine was at or below detectable limits. The expression of sPLA2 and lysozyme mRNA was observed in the small intestine (approximately, 3 x 10(3) and 9 x 10(3) copies/10 ng RNA, respectively), but also in several other tissues. Lysozyme expression was high in the duodenum (10(5) copies/10 ng RNA), and the protein localized to both Brunner's glands in the lamina propria and Paneth cells. By comparison, the hematopoietic alpha-defensins HNP1-3 mRNA were detected at 6 x 10(5) copies per 10 ng RNA in the bone marrow. These quantitative RT-PCR data from healthy tissues represents the first quantitative topographical assessment of antimicrobial expression in the gastrointestinal tract and provides a means to directly compare expression levels between healthy tissues and disease specimens for multiple antimicrobial peptides.     

Leishmania major: expression and gene structure of the glycoprotein 63 molecule in virulent and avirulent clones and strains

Two Leishmania membrane glycoconjugates, gp63 and lipophosphoglycan, have been implicated in parasite attachment and uptake into the host macrophage. Moreover, recent data suggest that parasite virulence is associated with high expression of gp63. In this study we have surveyed gp63 gene copy number, in addition to the level of expression of gp63 mRNA and protein in several Leishmania major isolates, as well as virulent and avirulent strains and clones. The highest level of gp63 expression was found in the avirulent cloned line LRC-L119.3G7, which expresses about a 15-fold higher level of gp63 RNA and protein than the virulent cloned line LRC-L137/7/V121, suggesting that large amounts of gp63 are not sufficient for infectivity and do not correlate with virulence. L119.3G7 has eight copies of the gp63 gene compared to five copies in the virulent cloned line V121 and its parental virulent isolate LRC-L137. A series of avirulent clones derived from LRC-L137 also had five copies of the gene, suggesting that gp63 copy number is maintained among closely related parasites. Different virulent isolates of L. major from different geographic regions exhibited six copies of the gp63 gene. The variation in total gene copy number is due to different numbers of the tandemly repeated gp63 isogene in different strains. Our data show that there is wide variability between strains of L. major in the copy number of gp63 genes as well as in the amount of RNA and protein expressed.