Genome-wide RNAi screening in Caenorhabditis elegans

In Caenorhabditis elegans, introduction of double-stranded RNA (dsRNA) results in the specific inactivation of an endogenous gene with corresponding sequence; this technique is known as RNA interference (RNAi). It has previously been shown that RNAi can be performed by direct microinjection of dsRNA into adult hermaphrodite worms, by soaking worms in a solution of dsRNA, or by feeding worms Escherichia coli expressing target-gene dsRNA. We have developed a simple optimized protocol exploiting this third mode of dsRNA introduction, RNAi by feeding, which allows rapid and effective analysis of gene function in C. elegans. Furthermore, we have constructed a library of bacterial strains corresponding to roughly 86% of the estimated 19,000 predicted genes in C. elegans, and we have used it to perform genome-wide analyses of gene function. This library is publicly available, reusable resource allowing for rapid large-scale RNAi experiments. We have used this library to perform genome-wide analyses of gene function in C. elegans. Here, we describe the protocols used for bacterial library construction and for high-throughput screening in C. elegans using RNAi by feeding.     

From sequence to function: using RNAi to elucidate mechanisms of human disease

RNA interference (RNAi) has emerged as one of the most powerful tools for functionally characterizing large sets of genomic data. Capabilities of RNAi place it at the forefront of high-throughput screens, which are able to span the human genome in search of novel targets. Although RNAi screens have been used to elucidate pathway components and discover potential drug targets in lower organisms, including Caenorhabditis elegans and Drosophila, only recently has the technology been advanced to a state in which large-scale screens can be performed in mammalian cells. In this review, we will evaluate the major advancements in the field of mammalian RNAi, specifically in terms of high-throughput assays. Crucial points of experimental design will be highlighted, as well as suggestions as to how to interpret and follow-up on potential cell death targets. Finally, we assess the prospective applications of high-throughput screens, the data they are capable of generating, and the potential for this technique to further our understanding of human disease.     

Functional genomic approaches using the nematode Caenorhabditis elegans as a model system

Since the completion of the genome project of the nematode C. elegans in 1998, functional genomic approaches have been applied to elucidate the gene and protein networks in this model organism. The recent completion of the whole genome of C. briggsae, a close sister species of C. elegans, now makes it possible to employ the comparative genomic approaches for identifying regulatory mechanisms that are conserved in these species and to make more precise annotation of the predicted genes. RNA interference (RNAi) screenings in C. elegans have been performed to screen the whole genome for the genes whose mutations give rise to specific phenotypes of interest. RNAi screens can also be used to identify genes that act genetically together with a gene of interest. Microarray experiments have been very useful in identifying genes that exhibit co-regulated expression profiles in given genetic or environmental conditions. Proteomic approaches also can be applied to the nematode, just as in other species whose genomes are known. With all these functional genomic tools, genetics will still remain an important tool for gene function studies in the post genome era. New breakthroughs in C. elegans biology, such as establishing a feasible gene knockout method, immortalized cell lines, or identifying viruses that can be used as vectors for introducing exogenous gene constructs into the worms, will augment the usage of this small organism for genome-wide biology.     

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.     

Genome-wide RNAi of C. elegans using the hypersensitive rrf-3 strain reveals novel gene functions

RNA-mediated interference (RNAi) is a method to inhibit gene function by introduction of double-stranded RNA (dsRNA). Recently, an RNAi library was constructed that consists of bacterial clones expressing dsRNA, corresponding to nearly 90% of the 19,427 predicted genes of C. elegans. Feeding of this RNAi library to the standard wild-type laboratory strain Bristol N2 detected phenotypes for approximately 10% of the corresponding genes. To increase the number of genes for which a loss-of-function phenotype can be detected, we undertook a genome-wide RNAi screen using the rrf-3 mutant strain, which we found to be hypersensitive to RNAi. Feeding of the RNAi library to rrf-3 mutants resulted in additional loss-of-function phenotypes for 393 genes, increasing the number of genes with a phenotype by 23%. These additional phenotypes are distributed over different phenotypic classes. We also studied interexperimental variability in RNAi results and found persistent levels of false negatives. In addition, we used the RNAi phenotypes obtained with the genome-wide screens to systematically clone seven existing genetic mutants with visible phenotypes. The genome-wide RNAi screen using rrf-3 significantly increased the functional data on the C. elegans genome. The resulting dataset will be valuable in conjunction with other functional genomics approaches, as well as in other model organisms.     

High-throughput RNAi screening by time-lapse imaging of live human cells

RNA interference (RNAi) is a powerful tool to study gene function in cultured cells. Transfected cell microarrays in principle allow high-throughput phenotypic analysis after gene knockdown by microscopy. But bottlenecks in imaging and data analysis have limited such high-content screens to endpoint assays in fixed cells and determination of global parameters such as viability. Here we have overcome these limitations and developed an automated platform for high-content RNAi screening by time-lapse fluorescence microscopy of live HeLa cells expressing histone-GFP to report on chromosome segregation and structure. We automated all steps, including printing transfection-ready small interfering RNA (siRNA) microarrays, fluorescence imaging and computational phenotyping of digital images, in a high-throughput workflow. We validated this method in a pilot screen assaying cell division and delivered a sensitive, time-resolved phenoprint for each of the 49 endogenous genes we suppressed. This modular platform is scalable and makes the power of time-lapse microscopy available for genome-wide RNAi screens.     

Genome-wide high-throughput screens in functional genomics

The availability of complete genome sequences from many organisms has yielded the ability to perform high-throughput, genome-wide screens of gene function. Within the past year, rapid advances have been made towards this goal in many major model systems, including yeast, worms, flies, and mammals. Yeast genome-wide screens have taken advantage of libraries of deletion strains, but RNA-interference has been used in other organisms to knockdown gene function. Examples of recent large-scale functional genetic screens include drug-target identification in yeast, regulators of fat accumulation in worms, growth and viability in flies, and proteasome-mediated degradation in mammalian cells. Within the next five years, such screens are likely to lead to annotation of function of most genes across multiple organisms. Integration of such data with other genomic approaches will extend our understanding of cellular networks.     

Loss of the putative RNA-directed RNA polymerase RRF-3 makes C. elegans hypersensitive to RNAi

RNA interference (RNAi) is a broadly used reverse genetics method in C. elegans. Unfortunately, RNAi does not inhibit all genes. We show that loss of function of a putative RNA-directed RNA polymerase (RdRP) of C. elegans, RRF-3, results in a substantial enhancement of sensitivity to RNAi in diverse tissues. This is particularly striking in the nervous system; neurons that are generally refractory to RNAi in a wild-type genetic background can respond effectively to interference in an rrf-3 mutant background. These data provide the first indication of physiological negative modulation of the RNAi response and implicate an RdRP-related factor in this effect. The rrf-3 strain can be useful to study genes that, in wild-type, do not show a phenotype after RNAi, and it is probably the strain of choice for genome-wide RNAi screens.     

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.     

Mining predicted essential genes of Brugia malayi for nematode drug targets

We report results from the first genome-wide application of a rational drug target selection methodology to a metazoan pathogen genome, the completed draft sequence of Brugia malayi, a parasitic nematode responsible for human lymphatic filariasis. More than 1.5 billion people worldwide are at risk of contracting lymphatic filariasis and onchocerciasis, a related filarial disease. Drug treatments for filariasis have not changed significantly in over 20 years, and with the risk of resistance rising, there is an urgent need for the development of new anti-filarial drug therapies. The recent publication of the draft genomic sequence for B. malayi enables a genome-wide search for new drug targets. However, there is no functional genomics data in B. malayi to guide the selection of potential drug targets. To circumvent this problem, we have utilized the free-living model nematode Caenorhabditis elegans as a surrogate for B. malayi. Sequence comparisons between the two genomes allow us to map C. elegans orthologs to B. malayi genes. Using these orthology mappings and by incorporating the extensive genomic and functional genomic data, including genome-wide RNAi screens, that already exist for C. elegans, we identify potentially essential genes in B. malayi. Further incorporation of human host genome sequence data and a custom algorithm for prioritization enables us to collect and rank nearly 600 drug target candidates. Previously identified potential drug targets cluster near the top of our prioritized list, lending credibility to our methodology. Over-represented Gene Ontology terms, predicted InterPro domains, and RNAi phenotypes of C. elegans orthologs associated with the potential target pool are identified. By virtue of the selection procedure, the potential B. malayi drug targets highlight components of key processes in nematode biology such as central metabolism, molting and regulation of gene expression.     

Genome-Wide RNAi Longevity Screens in Caenorhabditis elegans

Progress in aging research has identified genetic and environmental factors that regulate longevity across species. The nematode worm Caenorhabditis elegans is a genetically tractable model system that has been widely used to investigate the molecular mechanisms of aging, and the development of RNA interference (RNAi) technology has provided a powerful tool for performing large-scale genetic screens in this organism. Genome-wide screens have identified hundreds of genes that influence lifespan, many of which fall into distinct functional classes and pathways. The purpose of this review is to summarize the results of large-scale RNAi longevity screens in C. elegans, and to provide an in-depth comparison and analysis of their methodology and most significant findings.     

High-throughput RNAi screening to dissect cellular pathways: A how-to guide

RNA interference (RNAi) has become a powerful tool to dissect cellular pathways and characterize gene functions. The availability of genome-wide RNAi libraries for various model organisms and mammalian cells has enabled high-throughput RNAi screenings. These RNAi screens successfully identified key components that had previously been missed in classical forward genetic screening approaches and allowed the assessment of combined loss-of-function phenotypes. Crucially, the quality of RNAi screening results depends on quantitative assays and the choice of the right biological context. In this review, we provide an overview on the design and application of high-throughput RNAi screens as well as data analysis and candidate validation strategies.     

Genome-scale loss-of-function screening with a lentiviral RNAi library

The discovery that RNA interference (RNAi) is functional in mammalian cells led us to form The RNAi Consortium (TRC) with the goal of enabling large-scale loss-of-function screens through the development of genome-scale RNAi libraries and methodologies for their use. These resources form the basis of a loss-of-function screening platform created at the Broad Institute. Our human and mouse libraries currently contain >135,000 lentiviral clones targeting 27,000 genes. Initial screening efforts have demonstrated that these libraries and methods are practical and powerful tools for high-throughput lentivirus RNAi screens.     

pWormgatePro enables promoter-driven knockdown by hairpin RNA interference of muscle and neuronal gene products in Caenorhabditis elegans

Recent advances in genome research and RNA interference (RNAi) technology have accelerated the adoption of genome-wide experimental approaches for determining gene function in the model organism Caenorhabditis elegans. Despite recent successes, the application of RNAi is limited when gene knockdown causes complex phenotypes or embryonic lethality. Recently, the high-throughput pWormgate cloning system has been introduced as a tool to efficiently generate heat-shock-inducible hairpin RNA constructs using the Gateway recombination technology. We have modified pWormgate into a versatile hairpin cloning plasmid, pWormgatePro, which facilitates temporally and spatially inducible hairpin RNAi using constitutively active, tissue-specific promoters. To demonstrate its utility we knocked down unc-22 in body wall muscles as well as the axon guidance gene unc-5 in the nervous system indicating that promoter-driven hairpins can overcome the neuronal resistance to RNAi. Using pWormgatePro we also show that RNAi in the nervous system of C. elegans is non-autonomous and that spreading of the RNAi signal from neurons to muscle is substantially reduced but not abolished in spreading-defective sid-1 mutant animals. Our findings illustrate the effectiveness of pWormgatePro for gene silencing in muscle cells and neurons and bring forward the possibility of applying tissue-specific RNAi on a genome-wide scale.     

Basic Caenorhabditis elegans methods: synchronization and observation

Research into the molecular and developmental biology of the nematode Caenorhabditis elegans was begun in the early seventies by Sydney Brenner and it has since been used extensively as a model organism. C. elegans possesses key attributes such as simplicity, transparency and short life cycle that have made it a suitable experimental system for fundamental biological studies for many years. Discoveries in this nematode have broad implications because many cellular and molecular processes that control animal development are evolutionary conserved. C. elegans life cycle goes through an embryonic stage and four larval stages before animals reach adulthood. Development can take 2 to 4 days depending on the temperature. In each of the stages several characteristic traits can be observed. The knowledge of its complete cell lineage together with the deep annotation of its genome turn this nematode into a great model in fields as diverse as the neurobiology, aging, stem cell biology and germ line biology. An additional feature that makes C. elegans an attractive model to work with is the possibility of obtaining populations of worms synchronized at a specific stage through a relatively easy protocol. The ease of maintaining and propagating this nematode added to the possibility of synchronization provide a powerful tool to obtain large amounts of worms, which can be used for a wide variety of small or high-throughput experiments such as RNAi screens, microarrays, massive sequencing, immunoblot or in situ hybridization, among others. Because of its transparency, C. elegans structures can be distinguished under the microscope using Differential Interference Contrast microscopy, also known as Nomarski microscopy. The use of a fluorescent DNA binder, DAPI (4',6-diamidino-2-phenylindole), for instance, can lead to the specific identification and localization of individual cells, as well as subcellular structures/defects associated to them.     

Drosophila RNAi screening in a postgenomic world

Drosophila melanogaster has a long history as a model organism with several unique features that make it an ideal research tool for the study of the relationship between genotype and phenotype. Importantly fundamental genetic principles as well as key human disease genes have been uncovered through the use of Drosophila. The contribution of the fruit fly to science and medicine continues in the postgenomic era as cell-based Drosophila RNAi screens are a cost-effective and scalable enabling technology that can be used to quantify the contribution of different genes to diverse cellular processes. Drosophila high-throughput screens can also be used as integral part of systems-level approaches to describe the architecture and dynamics of cellular networks.     

Exploiting gene deletion fitness effects in yeast to understand the modular architecture of protein complexes under different growth conditions

Background  

Understanding how individual genes contribute towards the fitness of an organism is a fundamental problem in biology. Although recent genome-wide screens have generated abundant data on quantitative fitness for single gene knockouts, very few studies have systematically integrated other types of biological information to understand how and why deletion of specific genes give rise to a particular fitness effect. In this study, we combine quantitative fitness data for single gene knock-outs in yeast with large-scale interaction discovery experiments to understand the effect of gene deletion on the modular architecture of protein complexes, under different growth conditions.     

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.     

Simultaneous analysis of large-scale RNAi screens for pathogen entry

Background

Large-scale RNAi screening has become an important technology for identifying genes involved in biological processes of interest. However, the quality of large-scale RNAi screening is often deteriorated by off-targets effects. In order to find statistically significant effector genes for pathogen entry, we systematically analyzed entry pathways in human host cells for eight pathogens using image-based kinome-wide siRNA screens with siRNAs from three vendors. We propose a Parallel Mixed Model (PMM) approach that simultaneously analyzes several non-identical screens performed with the same RNAi libraries.

Results

We show that PMM gains statistical power for hit detection due to parallel screening. PMM allows incorporating siRNA weights that can be assigned according to available information on RNAi quality. Moreover, PMM is able to estimate a sharedness score that can be used to focus follow-up efforts on generic or specific gene regulators. By fitting a PMM model to our data, we found several novel hit genes for most of the pathogens studied.

Conclusions

Our results show parallel RNAi screening can improve the results of individual screens. This is currently particularly interesting when large-scale parallel datasets are becoming more and more publicly available. Our comprehensive siRNA dataset provides a public, freely available resource for further statistical and biological analyses in the high-content, high-throughput siRNA screening field.

Electronic supplementary material

The online version of this article (doi:10.1186/1471-2164-15-1162) contains supplementary material, which is available to authorized users.     

Genome-wide RNAi screening in Caenorhabditis elegans

In Caenorhabditis elegans, introduction of double-stranded RNA (dsRNA) results in the specific inactivation of an endogenous gene with corresponding sequence; this technique is known as RNA interference (RNAi). It has previously been shown that RNAi can be performed by direct microinjection of dsRNA into adult hermaphrodite worms, by soaking worms in a solution of dsRNA, or by feeding worms Escherichia coli expressing target-gene dsRNA. We have developed a simple optimized protocol exploiting this third mode of dsRNA introduction, RNAi by feeding, which allows rapid and effective analysis of gene function in C. elegans. Furthermore, we have constructed a library of bacterial strains corresponding to roughly 86% of the estimated 19,000 predicted genes in C. elegans, and we have used it to perform genome-wide analyses of gene function. This library is publicly available, reusable resource allowing for rapid large-scale RNAi experiments. We have used this library to perform genome-wide analyses of gene function in C. elegans. Here, we describe the protocols used for bacterial library construction and for high-throughput screening in C. elegans using RNAi by feeding.