Universal platform for quantitative analysis of DNA transposition

<p>Abstract</p> <p>Background</p> <p>Completed genome projects have revealed an astonishing diversity of transposable genetic elements, implying the existence of novel element families yet to be discovered from diverse life forms. Concurrently, several better understood transposon systems have been exploited as efficient tools in molecular biology and genomics applications. Characterization of new mobile elements and improvement of the existing transposition technology platforms warrant easy-to-use assays for the quantitative analysis of DNA transposition.</p> <p>Results</p> <p>Here we developed a universal <it>in vivo </it>platform for the analysis of transposition frequency with class II mobile elements, i.e., DNA transposons. For each particular transposon system, cloning of the transposon ends and the cognate transposase gene, in three consecutive steps, generates a multifunctional plasmid, which drives inducible expression of the transposase gene and includes a mobilisable <it>lacZ</it>-containing reporter transposon. The assay scores transposition events as blue microcolonies, papillae, growing within otherwise whitish <it>Escherichia coli </it>colonies on indicator plates. We developed the assay using phage Mu transposition as a test model and validated the platform using various MuA transposase mutants. For further validation and to illustrate universality, we introduced IS<it>903 </it>transposition system components into the assay. The developed assay is adjustable to a desired level of initial transposition via the control of a plasmid-borne <it>E. coli </it>arabinose promoter. In practice, the transposition frequency is modulated by varying the concentration of arabinose or glucose in the growth medium. We show that variable levels of transpositional activity can be analysed, thus enabling straightforward screens for hyper- or hypoactive transposase mutants, regardless of the original wild-type activity level.</p> <p>Conclusions</p> <p>The established universal papillation assay platform should be widely applicable to a variety of mobile elements. It can be used for mechanistic studies to dissect transposition and provides a means to screen or scrutinise transposase mutants and genes encoding host factors. In succession, improved versions of transposition systems should yield better tools for molecular biology and offer versatile genome modification vehicles for many types of studies, including gene therapy and stem cell research.</p

Flexibility in MuA Transposase Family Protein Structures: Functional Mapping with Scanning Mutagenesis and Sequence Alignment of Protein Homologues

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Functional Profiling of Precursor MicroRNAs Identifies MicroRNAs Essential for Glioma Proliferation

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Systematic bioinformatic analysis of expression levels of 17,330 human genes across 9,783 samples from 175 types of healthy and pathological tissues

Our knowledge on tissue- and disease-specific functions of human genes is rather limited and highly context-specific. Here, we have developed a method for the comparison of mRNA expression levels of most human genes across 9,783 Affymetrix gene expression array experiments representing 43 normal human tissue types, 68 cancer types, and 64 other diseases. This database of gene expression patterns in normal human tissues and pathological conditions covers 113 million datapoints and is available from the GeneSapiens website

Identifying the druggable interactome of EWS-FLI1 reveals MCL-1 dependent differential sensitivities of Ewing sarcoma cells to apoptosis inducers

Ewing sarcoma (EwS) is an aggressive pediatric bone cancer in need of more effective therapies than currently available. Most research into novel targeted therapeutic approaches is focused on the fusion oncogene EWSR1-FLI1, which is the genetic hallmark of this disease. In this study, a broad range of 3,325 experimental compounds, among them FDA approved drugs and natural products, were screened for their effect on EwS cell viability depending on EWS-FLI1 expression. In a network-based approach we integrated the results from drug perturbation screens and RNA sequencing, comparing EWS-FLI1-high (normal expression) with EWS-FLI1-low (knockdown) conditions, revealing novel interactions between compounds and EWS-FLI1 associated biological processes. The top candidate list of druggable EWS-FLI1 targets included genes involved in translation, histone modification, microtubule structure, topoisomerase activity as well as apoptosis regulation. We confirmed our in silico results using viability and apoptosis assays, underlining the applicability of our integrative and systemic approach. We identified differential sensitivities of Ewing sarcoma cells to BCL-2 family inhibitors dependent on the EWS-FLI1 regulome including altered MCL-1 expression and subcellular localization. This study facilitates the selection of effective targeted approaches for future combinatorial therapies of patients suffering from Ewing sarcoma.(VLID)471264

GTI: A Novel Algorithm for Identifying Outlier Gene Expression Profiles from Integrated Microarray Datasets

Background Meta-analysis of gene expression microarray datasets presents significant challenges for statistical analysis. We developed and validated a new bioinformatic method for the identification of genes upregulated in subsets of samples of a given tumour type (‘outlier genes’), a hallmark of potential oncogenes. Methodology A new statistical method (the gene tissue index, GTI) was developed by modifying and adapting algorithms originally developed for statistical problems in economics. We compared the potential of the GTI to detect outlier genes in meta-datasets with four previously defined statistical methods, COPA, the OS statistic, the t-test and ORT, using simulated data. We demonstrated that the GTI performed equally well to existing methods in a single study simulation. Next, we evaluated the performance of the GTI in the analysis of combined Affymetrix gene expression data from several published studies covering 392 normal samples of tissue from the central nervous system, 74 astrocytomas, and 353 glioblastomas. According to the results, the GTI was better able than most of the previous methods to identify known oncogenic outlier genes. In addition, the GTI identified 29 novel outlier genes in glioblastomas, including TYMS and CDKN2A. The over-expression of these genes was validated in vivo by immunohistochemical staining data from clinical glioblastoma samples. Immunohistochemical data were available for 65% (19 of 29) of these genes, and 17 of these 19 genes (90%) showed a typical outlier staining pattern. Furthermore, raltitrexed, a specific inhibitor of TYMS used in the therapy of tumour types other than glioblastoma, also effectively blocked cell proliferation in glioblastoma cell lines, thus highlighting this outlier gene candidate as a potential therapeutic target. Conclusions/Significance Taken together, these results support the GTI as a novel approach to identify potential oncogene outliers and drug targets. The algorithm is implemented in an R package (Text S1).Peer reviewe

Proyecto de pre factibilidad para la implementación de una planta de concreto seco premezclado

El presente estudio tiene como objetivo fundamental evaluar la factibilidad de implementar una planta de concreto seco premezclado, la cual surge a partir de ofrecer una propuesta ideal e integral, ante todo práctica y sencilla, un producto alternativo a lo ya existente, está dirigido para todas aquellas personas que requieran edificar, ampliar o remodelar sus viviendas. En el capítulo inicial se efectuaron estudios en donde se determinaron los antecedentes relacionados con el proyecto así como también fundamentos teóricos importantes para el respaldo conceptual del desarrollo del proyecto. El desarrollo del estudio y análisis del mercado se determinó que existe demanda potencial con relación a la oferta existente. Además se analizó la competencia y se plantearon las estrategias de comercialización que deben realizarse para la introducción del producto. En cuanto al estudio técnico (ingeniería del proyecto), se determinó el tamaño, ubicación, infraestructura, distribución de las áreas y espacios a través de métodos como Guerchet, factores ponderados, análisis de proximidad entre aéreas, así como también procesos de generación del producto a través de los diagramas de flujo , operaciones y análisis de procesos , asimismo requerimiento de materiales , personal , entre otros. Por último la inversión que necesita el proyecto, se especifica en el capítulo estudio financiero, detallados en los estados financieros como: estado de resultados, flujo caja; éste último sirviendo de base para la evaluación financiera correspondiente; asimismo el punto de equilibrio y el análisis de sensibilidad, estudio que permite determinar si el proyecto es viable y rentable en el tiempo

Large-scale data integration framework provides a comprehensive view on glioblastoma multiforme

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