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Michael Boutros

Publications and source records attributed to Michael Boutros.

18 recordsLinked to original sources

GenomeRNAi: a database for cell-based RNAi phenotypes.

RNA interference (RNAi) has emerged as a powerful tool to generate loss-of-function phenotypes in a variety of organisms. Combined with the sequence information of almost completely annotated genomes, RNAi technologies have opened new avenues to conduct systematic genetic screens for every annotated gene in the genome. As increasing large datasets of RNAi-induced phenotypes become available, an important challenge remains the systematic integration and annotation of functional information. Genome-wide RNAi screens have been performed both in Caenorhabditis elegans and Drosophila for a variety of phenotypes and several RNAi libraries have become available to assess phenotypes for almost every gene in the genome. These screens were performed using different types of assays from visible phenotypes to focused transcriptional readouts and provide a rich data source for functional annotation across different species. The GenomeRNAi database provides access to published RNAi phenotypes obtained from cell-based screens and maps them to their genomic locus, including possible non-specific regions. The database also gives access to sequence information of RNAi probes used in various screens. It can be searched by phenotype, by gene, by RNAi probe or by sequence and is accessible at http://rnai.dkfz.de.

Animals↗

Secretion of Wnt ligands requires Evi, a conserved transmembrane protein.

Wnt signaling pathways are important for multiple biological processes during development and disease. Wnt proteins are secreted factors that activate target-gene expression in both a short- and long-range manner. Currently, little is known about how Wnts are released from cells and which factors facilitate their secretion. Here, we identify a conserved multipass transmembrane protein, Evenness interrupted (Evi/Wls), through an RNAi survey for transmembrane proteins involved in Drosophila Wingless (Wg) signaling. During development, evi mutants have patterning defects that phenocopy wg loss-of-function alleles and fail to express Wg target genes. evi's function is evolutionarily conserved as depletion of its human homolog disrupts Wnt signaling in human cells. Epistasis experiments and clonal analysis place evi in the Wg-producing cell. Our results show that Wg is retained by evi mutant cells and suggest that evi is the founding member of a gene family specifically required for Wg/Wnt secretion.

Animals↗

Cellular phenotyping by RNAi.

A systematic characterization of genes with unknown function is a key challenge after the sequencing of the human genome and the genomes of many model organisms. High-throughput RNA-interference (RNAi) screenings have become a widely used approach in invertebrate model organisms and also promise to revolutionize cell biology in mammals. Genome-wide RNAi screens in Caenorhabditis elegans and Drosophila, and in a smaller scale in mammalian cells have proven to be a valuable and successful method for the dissection of diverse biological processes. A number of RNAi libraries have become available that rely on different technologies, such as long double-stranded (ds) RNAs, in vitro diced short-interfering (si) RNAs, synthetic siRNAs and short-hairpin (sh) RNAs, which all have specific advantages and disadvantages. In addition, progress in screening technologies and data analysis allows the adaptation of screening methods to analyse more complex cellular processes. This review will summarize strategies in combining genome-scale RNAi libraries, high-throughput screening technologies, integrated high-content data analysis and will discuss future challenges.

Animals↗

FlyRNAi: the Drosophila RNAi screening center database.

RNA interference (RNAi) has become a powerful tool for genetic screening in Drosophila. At the Drosophila RNAi Screening Center (DRSC), we are using a library of over 21,000 double-stranded RNAs targeting known and predicted genes in Drosophila. This library is available for the use of visiting scientists wishing to perform full-genome RNAi screens. The data generated from these screens are collected in the DRSC database (http://flyRNAi.org/cgi-bin/RNAi_screens.pl) in a flexible format for the convenience of the scientist and for archiving data. The long-term goal of this database is to provide annotations for as many of the uncharacterized genes in Drosophila as possible. Data from published screens are available to the public through a highly configurable interface that allows detailed examination of the data and provides access to a number of other databases and bioinformatics tools.

Animals↗

Minimizing the risk of reporting false positives in large-scale RNAi screens.

Large-scale RNA interference (RNAi)-based analyses, very much as other 'omic' approaches, have inherent rates of false positives and negatives. The variability in the standards of care applied to validate results from these studies, if left unchecked, could eventually begin to undermine the credibility of RNAi as a powerful functional approach. This Commentary is an invitation to an open discussion started among various users of RNAi to set forth accepted standards that would insure the quality and accuracy of information in the large datasets coming out of genome-scale screens.

Databases, Genetic↗

Analysis of cell-based RNAi screens.

RNA interference (RNAi) screening is a powerful technology for functional characterization of biological pathways. Interpretation of RNAi screens requires computational and statistical analysis techniques. We describe a method that integrates all steps to generate a scored phenotype list from raw data. It is implemented in an open-source Bioconductor/R package, cellHTS (http://www.dkfz.de/signaling/cellHTS). The method is useful for the analysis and documentation of individual RNAi screens. Moreover, it is a prerequisite for the integration of multiple experiments.

Quality Control↗

Identification of JAK/STAT signalling components by genome-wide RNA interference.

Signalling pathways mediating the transduction of information between cells are essential for development, cellular differentiation and homeostasis. Their dysregulation is also frequently associated with human malignancies. The Janus tyrosine kinase/signal transducer and activator of transcription (JAK/STAT) pathway represents one such signalling cascade whose evolutionarily conserved roles include cell proliferation and haematopoiesis. Here we describe a systematic genome-wide survey for genes required for JAK/STAT pathway activity. Analysis of 20,026 RNA interference (RNAi)-induced phenotypes in cultured Drosophila melanogaster haemocyte-like cells identified interacting genes encoding 4 known and 86 previously uncharacterized proteins. Subsequently, cell-based epistasis experiments were used to classify these proteins on the basis of their interaction with known components of the signalling cascade. In addition to multiple human disease gene homologues, we have found the tyrosine phosphatase Ptp61F and the Drosophila homologue of BRWD3, a bromo-domain-containing protein disrupted in leukaemia. Moreover, in vivo analysis demonstrates that disrupted dBRWD3 and overexpressed Ptp61F function as suppressors of leukaemia-like blood cell tumours. This screen represents a comprehensive identification of novel loci required for JAK/STAT signalling and provides molecular insights into an important pathway relevant for human cancer. Human homologues of identified pathway modifiers may constitute targets for therapeutic interventions.

Animals↗

E-RNAi: a web application to design optimized RNAi constructs.

RNA interference (RNAi) has become a powerful genetic approach to systematically dissect gene function on a genome-wide scale. Owing to the penetrance and efficiency of RNAi in invertebrates, model organisms such as Drosophila melanogaster and Caenorhabditis elegans have contributed significantly to the identification of novel components of diverse biological pathways, ranging from early development to fat storage and aging. For the correct assessment of phenotypes, a key issue remains the stringent quality control of long double-stranded RNAs (dsRNA) to calculate potential off-target effects that may obscure the phenotypic data. We here describe a web-based tool to evaluate and design optimized dsRNA constructs. Moreover, the application also gives access to published predesigned dsRNAs. The E-RNAi web application is available at http://e-rnai.dkfz.de/.

Animals↗

Drosophila Wnt/Fz pathways.

Wnts [also known as Wingless (Wg)] are a family of conserved signaling molecules involved in a plethora of fundamental developmental and cell biological processes, such as cell proliferation, differentiation, and cell polarity. Dysregulation of the pathway can be detrimental, because several components are tumorigenic when mutated and are associated with hepatic, colorectal, breast, and skin cancers. First identified in the fruit fly Drosophila melanogaster as a gene family responsible for patterning the embryonic epidermis, the Wnt gene family, including Wg, encode secreted glycoproteins that activate receptor-mediated signaling pathways leading to numerous transcriptional and cellular responses. The main function of the canonical Wg pathway is to stabilize the cytoplasmic pool of a key mediator, beta-catenin [beta-catenin, known as Armadillo (Arm) in fruit flies], which is otherwise degraded by the proteasome pathway. Initially identified as a key player in stabilizing cell-cell adherens junctions, Arm is now known to also act as a transcription factor by forming a complex with the lymphoid enhancer factor (LEF)/T cell-specific transcription factor (TCF) family of high mobility group (HMG)-box transcription factors. Upon Wnt/Wg stimulation, stabilized Arm translocates to the nucleus, where, together with LEF/TCF transcription factors, it activates downstream target genes that regulate numerous cell biological processes.

Animals↗

Preferred analysis methods for Affymetrix GeneChips revealed by a wholly defined control dataset.

BACKGROUND: As more methods are developed to analyze RNA-profiling data, assessing their performance using control datasets becomes increasingly important. RESULTS: We present a 'spike-in' experiment for Affymetrix GeneChips that provides a defined dataset of 3,860 RNA species, which we use to evaluate analysis options for identifying differentially expressed genes. The experimental design incorporates two novel features. First, to obtain accurate estimates of false-positive and false-negative rates, 100-200 RNAs are spiked in at each fold-change level of interest, ranging from 1.2 to 4-fold. Second, instead of using an uncharacterized background RNA sample, a set of 2,551 RNA species is used as the constant (1x) set, allowing us to know whether any given probe set is truly present or absent. Application of a large number of analysis methods to this dataset reveals clear variation in their ability to identify differentially expressed genes. False-negative and false-positive rates are minimized when the following options are chosen: subtracting nonspecific signal from the PM probe intensities; performing an intensity-dependent normalization at the probe set level; and incorporating a signal intensity-dependent standard deviation in the test statistic. CONCLUSIONS: A best-route combination of analysis methods is presented that allows detection of approximately 70% of true positives before reaching a 10% false-discovery rate. We highlight areas in need of improvement, including better estimate of false-discovery rates and decreased false-negative rates.

Algorithms↗

High-throughput RNA interference screens in Drosophila tissue culture cells.

This chapter describes the method used to conduct high-throughput screening (HTs) by RNA interference in Drosophila tissue culture cells. It covers four main topics: (1) a brief description of the existing platforms to conduct RNAi-screens in cell-based assays; (2) a table of the Drosophila cell lines available for these screens and a brief mention of the need to establish other cell lines as well as cultures of primary cells; (3) a discussion of the considerations and protocols involved in establishing assays suitable for HTS in a 384-well format; and (A) a summary of the various ways of handling raw data from an ongoing screen, with special emphasis on how to apply normalization for experimental variation and statistical filters to sort out noise from signals.

Animals↗

An RNA interference screen identifies Inhibitor of Apoptosis Protein 2 as a regulator of innate immune signalling in Drosophila.

Innate immunity in vertebrates and invertebrates is of central importance as a biological programme for host defence against pathogenic challenges. To find novel components of the Drosophila immune deficiency (IMD) pathway in cultured haemocyte-like cells, we screened an RNA interference library for modifiers of a pathway-specific reporter. Selected modifiers were further characterized using an independent reporter assay and placed into the pathway in relation to known pathway components. Interestingly, the screen identified the Inhibitor of Apoptosis Protein 2 (IAP 2) as being required for IMD signalling. Whereas loss of DIAP 1, the other member of the IAP protein family in Drosophila, leads to apoptosis, we show that IAP 2 is dispensable for cell viability in haemocyte-like cells. Cell-based epistasis experiments show that IAP 2 acts at the level of Tak 1 (transforming growth factor-beta-activated kinase 1). Our results indicate that IAP gene family members may have acquired other functions, such as the regulation of the tumour necrosis factor-like IMD pathway during innate immune responses.

Animals↗

Genome-wide RNAi analysis of growth and viability in Drosophila cells.

A crucial aim upon completion of whole genome sequences is the functional analysis of all predicted genes. We have applied a high-throughput RNA-interference (RNAi) screen of 19,470 double-stranded (ds) RNAs in cultured cells to characterize the function of nearly all (91%) predicted Drosophila genes in cell growth and viability. We found 438 dsRNAs that identified essential genes, among which 80% lacked mutant alleles. A quantitative assay of cell number was applied to identify genes of known and uncharacterized functions. In particular, we demonstrate a role for the homolog of a mammalian acute myeloid leukemia gene (AML1) in cell survival. Such a systematic screen for cell phenotypes, such as cell viability, can thus be effective in characterizing functionally related genes on a genome-wide scale.

Animals↗

Genome-wide RNAi as a route to gene function in Drosophila.

With the sequencing of the human genome and the genomes of most major model organisms completed, the systematic characterisation of gene functions remains a key challenge. During the past few years, RNA interference (RNAi) has become a powerful tool to silence the expression of genes and analyse their loss-of-function phenotype when mutant alleles are not available. Genome-wide RNAi screens against all predicted genes have been successfully used to dissect a variety of biological processes in Caenorhabditis elegans. Recently, a genome-wide library of double-stranded RNAs, that target every gene in the Drosophila genome and that is suitable for high throughput cell-based assays, was published. In this paper, recent advances will be summarised. Screening strategies and applications as a route to comprehensively characterising gene function will be discussed.

Animals↗

Managing the genome: microRNAs in Drosophila.

MicroRNAs (miRNAs) represent a growing class of short non-coding RNAs that regulate gene expression by post-transcriptional mechanisms. By binding to target mRNAs via stretches of sequence complementarity, microRNAs inhibit the production of target proteins or induce degradation of mRNAs. Several hundred miRNAs have recently been predicted and cloned from eukaryotic organisms as diverse as plants, invertebrates, and vertebrates. Some miRNAs were shown to be widely conserved across phyla. However, except in a few described cases, rather little is known about their endogenous target genes and the physiological pathways they impinge on. Invertebrate model organisms such as C. elegans and Drosophila have been instrumental to develop methods and to dissect biological roles of miRNAs. In this review, we will focus on recent progress in characterizing miRNAs and steps toward identification of target genes in Drosophila. Many of these recent experiments provide evidence that a systematic target discovery is feasible and that the biology of miRNAs can be functionally explored using forward and reverse genetic tools.

Animals↗

Signaling role of hemocytes in Drosophila JAK/STAT-dependent response to septic injury.

To characterize the features of JAK/STAT signaling in Drosophila immune response, we have identified totA as a gene that is regulated by the JAK/STAT pathway in response to septic injury. We show that septic injury triggers the hemocyte-specific expression of upd3, a gene encoding a novel Upd-like cytokine that is necessary for the JAK/STAT-dependent activation of totA in the Drosophila counterpart of the mammalian liver, the fat body. In addition, we demonstrate that totA activation also requires the NF-KB-like Relish pathway, indicating that fat body cells integrate the activity of NF-KB and JAK/STAT signaling pathways upon immune response. This study reveals that, in addition to the pattern recognition receptor-mediated NF-KB-dependent immune response, Drosophila undergoes a complex systemic response that is mediated by the production of cytokines in blood cells, a process that is similar to the acute phase response in mammals.

Adipocytes↗

The promise and perils of Wnt signaling through beta-catenin.

Wnt pathways are involved in the control of gene expression, cell behavior, cell adhesion, and cell polarity. In addition, they often operate in combination with other signaling pathways. The Wnt/beta-catenin pathway is the best studied of the Wnt pathways and is highly conserved through evolution. In this pathway, Wnt signaling inhibits the degradation of beta-catenin, which can regulate transcription of a number of genes. Some of the genes regulated are those associated with cancer and other diseases (for example, colorectal cancer and melanomas). As a result, components of the Wnt/beta-catenin pathway are promising targets in the search for therapeutic agents. Information about Wnt pathways is available both in canonical terms and at the species level. In addition to the canonical Wnt/beta-catenin pathway, information is now available for Drosophila, Caenorhabditis elegans, and Xenopus. The STKE Connections Maps for these pathways provide an important tool in accessing this large body of complex information.

Animals↗

Sequential activation of signaling pathways during innate immune responses in Drosophila.

Innate immunity is essential for metazoans to fight microbial infections. Genome-wide expression profiling was used to analyze the outcome of impairing specific signaling pathways after microbial challenge. We found that these transcriptional patterns can be dissected into distinct groups. We demonstrate that, in addition to signaling through the Toll and Imd pathways, signaling through the JNK and JAK/STAT pathways controls distinct subsets of targets induced by microbial agents. Each pathway shows a specific temporal pattern of activation and targets different functional groups, suggesting that innate immune responses are modular and recruit distinct physiological programs. In particular, our results may imply a close link between the control of tissue repair and antimicrobial processes.

Animals↗