Systematic interpretation of genetic interactions using protein networks

Genetic interaction analysis,in which two mutations have a combined effect not exhibited by either mutation alone, is a powerful and widespread tool for establishing functional linkages between genes. In the yeast Saccharomyces cerevisiae, ongoing screens have generated >4,800 such genetic interaction data. We demonstrate that by combining these data with information on protein-protein, prote in-DNA or metabolic networks, it is possible to uncover physical mechanisms behind many of the observed genetic effects. Using a probabilistic model, we found that 1,922 genetic interactions are significantly associated with either between- or within-pathway explanations encoded in the physical networks, covering approximately 40% of known genetic interactions. These models predict new functions for 343 proteins and suggest that between-pathway explanations are better than within-pathway explanations at interpreting genetic interactions identified in systematic screens. This study provides a road map for how genetic and physical interactions can be integrated to reveal pathway organization and function.     

Genetic modifier screens on Hairless gain-of-function phenotypes reveal genes involved in cell differentiation, cell growth and apoptosis in Drosophila melanogaster

Overexpression of Hairless (H) causes a remarkable degree of tissue loss and apoptosis during imaginal development. H functions as antagonist in the Notch-signaling pathway in Drosophila, and the link to growth and apoptosis is poorly understood. To further our insight into H-mediated apoptosis, we performed two large-scale screens for modifiers of a small rough eye phenotype caused by H overexpression. Both loss- and gain-of-function screens revealed known and new genetic interactors representing diverse cellular functions. Many of them did not cause eye phenotypes on their own, emphasizing a specific genetic interaction with H. As expected, we also identified components of different signaling pathways supposed to be involved in the regulation of cell growth and cell death. Accordingly, some of them also acted as modifiers of proapoptotic genes, suggesting a more general involvement in the regulation of apoptosis. Overall, these screens highlight the importance of H and the Notch pathway in mediating cell death in response to developmental and environmental cues and emphasize their role in maintaining developmental cellular homeostasis.     

Quantum dots go with the flow

RNA interference (RNAi) and automated high-throughput screening is a promising combination. But the first systematic large-scale mapping of genetic interactions in an animal shows that manual methods still have advantages over sophisticated automated screens.     

A Drosophila overexpression screen for modifiers of Rho signalling in cytokinesis

To identify genes that modulate Rho signalling during cytokinesis we tested the effect of overexpressing a set of 2190 genes on an eye phenotype caused by defective Rho activation. The resulting 112 modifier loci fell into three main classes: cell cycle genes, signalling effectors and metabolic enzymes. We developed a further series of genetic tests to refine the interactors into those most likely to modify Rho signalling during cytokinesis. In addition to a number of genes previously implicated in the Rho pathway during cytokinesis, we identified four novel primary candidates: cdc14, Pitslre, PDK1 and thread/diap1. cdc14 orthologs have, however, been implicated in cytokinesis in other organisms, as have molecules related to Thread/Diap1. The identification of several modifiers that are genetically redundant paralogs highlights the ability of overexpression screens to identify genes that are refractory to traditional loss-of-function approaches. Overexpression screens and sensitized phenotypes, therefore, may help identify the many factors that are expected to be involved in cytokinesis but have not been discovered by previous genetic screens.     

Analysis of gene function in the zebrafish retina

Mutagenesis screens in zebrafish have uncovered several hundred mutant alleles affecting the development of the retina and established the zebrafish as one of the leading models of vertebrate eye development. In addition to forward genetic mutagenesis approaches, gene function in the zebrafish embryo is being studied using several reverse genetic techniques. Some of these rely on the overexpression of a gene product, others take advantage of antisense oligonucleotides to block function of selected loci. Here we describe these methods in the context of the developing eye.     

Parallel reverse genetic screening in mutant human cells using transcriptomics

Reverse genetic screens have driven gene annotation and target discovery in model organisms. However, many disease‐relevant genotypes and phenotypes cannot be studied in lower organisms. It is therefore essential to overcome technical hurdles associated with large‐scale reverse genetics in human cells. Here, we establish a reverse genetic approach based on highly robust and sensitive multiplexed RNA sequencing of mutant human cells. We conduct 10 parallel screens using a collection of engineered haploid isogenic cell lines with knockouts covering tyrosine kinases and identify known and unexpected effects on signaling pathways. Our study provides proof of concept for a scalable approach to link genotype to phenotype in human cells, which has broad applications. In particular, it clears the way for systematic phenotyping of still poorly characterized human genes and for systematic study of uncharacterized genomic features associated with human disease.     

Size control goes global

The size of cells, tissues and organisms is a fundamental yet poorly understood attribute of biological systems. Traditional difficulties in interrogating the basis for size regulation have been surmounted by recent systematic phenotypic analyses. Genome-wide size screens in yeast suggest that ribosome biogenesis rate dictates cell size thresholds, whereas analogous RNAi-based size screens in metazoans cells reveal further connections between cell size and translation, as well as myriad other pathways. Sophisticated genetic screens in flies have delineated the new Hippo-signalling pathway that controls tissue and organ size. While the plethora of genes that alter size phenotypes at present defies a unified model, systems-level analysis suggests many new inroads into the longstanding enigma of size control.     

Xenopus as a model organism in developmental chemical genetic screens

Chemical genetics is a potentially powerful tool for studying developmental processes in vertebrate systems. We present data showing Xenopus laevis as a model organism in which systematic chemical genetic screens can be carried out. Previous forward chemical genetic screens, including those with developing zebrafish embryos, have demonstrated the nature and value of biological information gained with this approach. We show how amenable Xenopus is to chemical genetics by investigating a series of compounds either with known biochemical effects, or previously identified to give developmental phenotypes, on a range of biological functions, including the development of pigmentation, the heart and the central nervous system in zebrafish. We have found that the compounds give comparable phenotypes when applied to developing Xenopus embryos. We have also studied the penetrance and expressivity of these chemical genetic phenotypes in relation to genetic variation and the developmental window during which the compound is present. Finally, we assess the feasibility and the potential throughput of a screen in this vertebrate species.     

The molecular and genetic control of ovule development

A genetic approach has resulted in an extensive framework for the methodical analysis of ovule development. The most recent progress was accomplished in the areas of primordium formation and integument morphogenesis. Furthermore, systematic screens have identified a number of gametophytic mutations disrupting several distinct steps of embryo sac ontogenesis.     

Systematic epistatic mapping of cellular processes

Genetic screens have identified many novel components of various biological processes, such as components required for cell cycle and cell division. While forward genetic screens typically generate unstructured ‘hit’ lists, genetic interaction mapping approaches can identify functional relations in a systematic fashion. Here, we discuss a recent study by our group demonstrating a two-step approach to first screen for regulators of the mitotic cell cycle, and subsequently guide hypothesis generation by using genetic interaction analysis. The screen used a high-content microscopy assay and automated image analysis to capture defects during mitotic progression and cytokinesis. Genetic interaction networks derived from process-specific features generate a snapshot of functional gene relations in those processes, which follow a temporal order during the cell cycle. This complements a recently published approach, which inferred directional genetic interactions reconstructing hierarchical relationships between genes across different phases during mitotic progression. In conclusion, this strategy leverages unbiased, genome-wide, yet highly sensitive and process-focused functional screening in cells.     

Lentiviral mediated transgenesis by in vivo manipulation of spermatogonial stem cells

This report describes a technique for the generation of transgenic mice by in vivo manipulation of spermatogonial stem cells with a high rate of success. Spermatogonial stem cells (SSCs) in pre-pubescent animals were infected in vivo with recombinant lentiviruses expressing EGFP-f and mated with normal females. All male pre-founder mice produced transgenic pups with an overall success rate of over 60%. The transgene was heritable and the pre-founder mice could be used in multiple mating experiments. This technology could be used to perform overexpression/knockdown screens in vivo using bar-coded lentiviruses, thus permitting the design of genetic screens in the mouse. Further, this technology could be adapted to other laboratory animals resulting in the generation of model systems that closely approximate human development and disease.     

A gain-of-function screen in zebrafish identifies a guanylate cyclase with a role in neuronal degeneration

Manipulation of gene expression is one of the most informative ways to study gene function. Genetic screens have been an informative method to identify genes involved in developmental processes. In the zebrafish, loss-of-function screens have been the primary approach for these studies. We sought to complement loss-of-function screens using an unbiased approach to overexpress genes with a Gal4-UAS based system, similar to the gain-of-function screens in Drosophila. Using MMLV as a mutagenic vector, a cassette containing a UAS promoter was readily inserted in the genome, often at the 5′ end of genes, allowing Gal4-dependent overexpression. We confirmed that genes downstream of the viral insertions were overexpressed in a Gal4-VP16 dependent manner. We further demonstrate that misexpression of one such downstream gene gucy2F, a membrane-bound guanylate cyclase, throughout the nervous system results in multiple defects including a loss of forebrain neurons. This suggests proper control of cGMP production is important in neuronal survival. From this study, we propose that this gain-of-function approach can be applied to large-scale genetic screens in a vertebrate model organism and may reveal previously unknown gene function. Sequence data from this article have been deposited with the EMBL/GenBank Data Libraries under accession nos. FJ151012, FJ151013, and FJ151014.     

Strategies for automated analysis of <Emphasis Type="Italic">C. elegans</Emphasis> locomotion

Automated analysis of C. elegans behaviour is a rapidly developing field, offering the possibility of behaviour-based, high-throughput drug screens and systematic phenotyping. Standard methods for parameterizing worm shapes and movements are emerging, and progress has been made towards overcoming the difficulties introduced by interactions between worms, as well as worm coiling and omega turning. Current methods have facilitated the identification of subtle phenotypes and the characterisation of roles of neurones in forward locomotion and chemotaxis, as well as the quantitative characterisation of behaviour choice and circadian patterns of activity. Given the speed with which C. elegans has been deployed in genetic screens and chemical screens, it is to be hoped that wormtrackers may eventually provide similar rapidity in assaying behavioural phenotypes. However, considerable progress must be made before this can be accomplished. In the case of genome-wide RNAi screens, for example, the presence in the worm genome of some 19,000 genes means that even the minimal user intervention in an automatic phenotyping system will be very costly. Nonetheless, recent advances have shown that drug actions on large numbers of worms can be tracked, raising hopes that high-throughput behavioural screens may soon be available.     

High-throughput Yeast Plasmid Overexpression Screen

The budding yeast, Saccharomyces cerevisiae, is a powerful model system for defining fundamental mechanisms of many important cellular processes, including those with direct relevance to human disease. Because of its short generation time and well-characterized genome, a major experimental advantage of the yeast model system is the ability to perform genetic screens to identify genes and pathways that are involved in a given process. Over the last thirty years such genetic screens have been used to elucidate the cell cycle, secretory pathway, and many more highly conserved aspects of eukaryotic cell biology ^1-5. In the last few years, several genomewide libraries of yeast strains and plasmids have been generated ^6-10. These collections now allow for the systematic interrogation of gene function using gain- and loss-of-function approaches ^11-16. Here we provide a detailed protocol for the use of a high-throughput yeast transformation protocol with a liquid handling robot to perform a plasmid overexpression screen, using an arrayed library of 5,500 yeast plasmids. We have been using these screens to identify genetic modifiers of toxicity associated with the accumulation of aggregation-prone human neurodegenerative disease proteins. The methods presented here are readily adaptable to the study of other cellular phenotypes of interest.Download video file.^{(52M, mov)}     

Counting mutagenized genomes and optimizing genetic screens in Caenorhabditis elegans

In genetic screens, the number of mutagenized gametes examined is an important parameter for evaluating screen progress, the number of genes of a given mutable phenotype, gene size, cost, and labor. Since genetic screens often entail examination of thousands or tens of thousands of animals, strategies for optimizing genetics screens are important for minimizing effort while maximizing the number of mutagenized gametes examined. To date, such strategies have not been described for genetic screens in the nematode Caenorhabditis elegans. Here we review general principles of genetic screens in C. elegans, and use a modified binomial strategy to obtain a general expression for the number of mutagenized gametes examined in a genetic screen. We use this expression to calculate optimal screening parameters for a large range of genetic screen types. In addition, we developed a simple online genetic-screen-optimization tool that can be used independently of this paper. Our results demonstrate that choosing the optimal F2-to-F1 screening ratio can significantly improve screen efficiency.     

GSD: a genetic screen database

The systematic assignment of gene function to a sequenced genome is one of the outstanding challenges in the post-genomic era. Large-scale systematic mutagenesis screens are important tools for reaching this goal. Here we describe GSD, a software package that allows storage and integration of data from genetic screens. GSD was initially developed for a large-scale F3 mutagenesis screen for developmental mutants of medaka (Oryzias latipes). The version presented here supports a wide range of different screens (mutagenesis, RNAi, morpholinos, transgenesis and others) using different organisms. Data are stored in a relational database and can be made accessible through web interfaces. Researchers can enter data describing their screened embryos: They can track statistics, submit images and describe the resulting phenotypes using a phenotype classification ontology. We developed a fish phenotype classification ontology of medaka and zebrafish for this software package and made it available to the public. In addition, a list of genetic lines resulting from each screen can be generated. These lines (mutant alleles, transgenic lines) can be described and categorized in the same ways as the screened individuals. Raw data from the screen can be integrated to describe these lines. A query module that searches this list can be used to publish the screen results on the Internet. A test version is available at and the software can be downloaded from this site.     

A picture is worth a thousand words: Genomics to phenomics in the yeast Saccharomyces cerevisiae

Large scale cell biological experiments are beginning to be applied as a systems-level approach to decipher mechanisms that govern cellular function in health and disease. The use of automated microscopes combined with digital imaging, machine learning and other analytical tools has enabled high-content screening (HCS) in a variety of experimental systems. Successful HCS screens demand careful attention to assay development, data acquisition methods and available genomic tools. In this minireview, we highlight developments in this field pertaining to yeast cell biology and discuss how we have combined HCS with methods for automated yeast genetics (synthetic genetic array (SGA) analysis) to enable systematic analysis of cell biological phenotypes in a variety of genetic backgrounds.     

Studying phospholipid metabolism using yeast systematic and chemical genetics

Most phospholipid metabolic pathways in the budding yeast Saccharomyces cerevisiae are analogous to their mammalian counterparts. The biological tractability of yeast provides for an opportunity to rapidly determine functions of specific lipids or lipid metabolic pathways using both classical and chemical-genetic techniques. The recent generation of the yeast genome deletion collection revealed that approximately 75% of yeast genes are not essential for life. Coupling analysis of the yeast deletion collection with automation using high-throughput robotics enables yeast genetic screens to be more thorough and bypasses the requirement for library screens to identify genes of interest. Two high-throughput yeast genetic methods are described, systematic synthetic lethality and chemical genetics. Systematic synthetic lethality is based on the principle that inactivation of two genes separately has minimal effects on cell growth whereas inactivation of both genes simultaneously results in growth defects due to their shared requirement in a particular cellular process. Chemical genetics is the analysis of bioactive compounds to determine processes that regulate susceptibility to the compound under study, and provides powerful data regarding precise targets and mechanism of action that regulate action of the compound.     

Systematic identification of genes that regulate neuronal wiring in the Drosophila visual system

Forward genetic screens in model organisms are an attractive means to identify those genes involved in any complex biological process, including neural circuit assembly. Although mutagenesis screens are readily performed to saturation, gene identification rarely is, being limited by the considerable effort generally required for positional cloning. Here, we apply a systematic positional cloning strategy to identify many of the genes required for neuronal wiring in the Drosophila visual system. From a large-scale forward genetic screen selecting for visual system wiring defects with a normal retinal pattern, we recovered 122 mutations in 42 genetic loci. For 6 of these loci, the underlying genetic lesions were previously identified using traditional methods. Using SNP-based mapping approaches, we have now identified 30 additional genes. Neuronal phenotypes have not previously been reported for 20 of these genes, and no mutant phenotype has been previously described for 5 genes. The genes encode a variety of proteins implicated in cellular processes such as gene regulation, cytoskeletal dynamics, axonal transport, and cell signalling. We conducted a comprehensive phenotypic analysis of 35 genes, scoring wiring defects according to 33 criteria. This work demonstrates the feasibility of combining large-scale gene identification with large-scale mutagenesis in Drosophila, and provides a comprehensive overview of the molecular mechanisms that regulate visual system wiring.