Transposon-mediated mutagenesis of somatic cells in the mouse for cancer gene identification

To successfully treat cancer we will likely need a much more detailed understanding of the genes and pathways meaningfully altered in individual cancer cases. One method for achieving this goal is to derive cancers in model organisms using unbiased forward genetic screens that allow cancer gene candidate discovery. We have developed a method using a “cut-and-paste” DNA transposon system called Sleeping Beauty (SB) to perform forward genetic screens for cancer genes in mice. Although the approach is conceptually similar to the use of replication competent retroviruses for cancer gene identification, the SB system promises to allow such screens in tissues previously not amenable to forward genetic screens such as the gastrointestinal tract, brain, and liver. This article describes the strains useful for SB-based screens for cancer genes in mice and how they are deployed in an experiment.     

Estimating the degree of saturation in mutant screens

Large-scale screens for loss-of-function mutants have played a significant role in recent advances in developmental biology and other fields. In such mutant screens, it is desirable to estimate the degree of "saturation" of the screen (i.e., what fraction of the possible target genes has been identified). We applied Bayesian and maximum-likelihood methods for estimating the number of loci remaining undetected in large-scale screens and produced credibility intervals to assess the uncertainty of these estimates. Since different loci may mutate to alleles with detectable phenotypes at different rates, we also incorporated variation in the degree of mutability among genes, using either gamma-distributed mutation rates or multiple discrete mutation rate classes. We examined eight published data sets from large-scale mutant screens and found that credibility intervals are much broader than implied by previous assumptions about the degree of saturation of screens. The likelihood methods presented here are a significantly better fit to data from published experiments than estimates based on the Poisson distribution, which implicitly assumes a single mutation rate for all loci. The results are reasonably robust to different models of variation in the mutability of genes. We tested our methods against mutant allele data from a region of the Drosophila melanogaster genome for which there is an independent genomics-based estimate of the number of undetected loci and found that the number of such loci falls within the predicted credibility interval for our models. The methods we have developed may also be useful for estimating the degree of saturation in other types of genetic screens in addition to classical screens for simple loss-of-function mutants, including genetic modifier screens and screens for protein-protein interactions using the yeast two-hybrid method.     

Measuring error rates in genomic perturbation screens: gold standards for human functional genomics

Technological advancement has opened the door to systematic genetics in mammalian cells. Genome‐scale loss‐of‐function screens can assay fitness defects induced by partial gene knockdown, using RNA interference, or complete gene knockout, using new CRISPR techniques. These screens can reveal the basic blueprint required for cellular proliferation. Moreover, comparing healthy to cancerous tissue can uncover genes that are essential only in the tumor; these genes are targets for the development of specific anticancer therapies. Unfortunately, progress in this field has been hampered by off‐target effects of perturbation reagents and poorly quantified error rates in large‐scale screens. To improve the quality of information derived from these screens, and to provide a framework for understanding the capabilities and limitations of CRISPR technology, we derive gold‐standard reference sets of essential and nonessential genes, and provide a Bayesian classifier of gene essentiality that outperforms current methods on both RNAi and CRISPR screens. Our results indicate that CRISPR technology is more sensitive than RNAi and that both techniques have nontrivial false discovery rates that can be mitigated by rigorous analytical methods.     

Novel retroviral vectors to facilitate expression screens in mammalian cells

As tools for functional genomics, expression profiling and proteomics provide correlative data, while expression cloning screens can link genes directly to biological function. However, technical limitations of gene transfer, expression, and recovery of candidate genes have limited wider application of genome-wide expression screens. Here we describe the pEYK retroviral vectors, which maintain high titers and robust gene expression while addressing the major bottleneck of expression cloning—efficient candidate gene recovery. By exploiting schemes for enhanced PCR rescue or strategies for direct isolation of proviral DNA as plasmids in bacterial hosts, the pEYK vectors facilitate cDNA isolation from selected cells and enable rapid iteration of screens and genetic reversion analyses to validate gene candidates. These vectors have proven useful to identify genes linked to cell proliferation, senescence and apoptosis.     

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.     

Genomic dissection of microbial pathogenesis in cultured Drosophila cells

Recent RNA interference screens that were performed at a genome-wide level have identified host factors that are important for the growth of Listeria monocytogenes in cultured cells from the fruit fly Drosophila melanogaster. The screens identified genes that are involved in phagocytosis but did not detect genes known to be involved in immune signaling pathways. These studies provide a foundation for the identification of host factors and virulence mechanisms.     

A lentiviral RNAi library for human and mouse genes applied to an arrayed viral high-content screen

To enable arrayed or pooled loss-of-function screens in a wide range of mammalian cell types, including primary and nondividing cells, we are developing lentiviral short hairpin RNA (shRNA) libraries targeting the human and murine genomes. The libraries currently contain 104,000 vectors, targeting each of 22,000 human and mouse genes with multiple sequence-verified constructs. To test the utility of the library for arrayed screens, we developed a screen based on high-content imaging to identify genes required for mitotic progression in human cancer cells and applied it to an arrayed set of 5,000 unique shRNA-expressing lentiviruses that target 1,028 human genes. The screen identified several known and approximately 100 candidate regulators of mitotic progression and proliferation; the availability of multiple shRNAs targeting the same gene facilitated functional validation of putative hits. This work provides a widely applicable resource for loss-of-function screens, as well as a roadmap for its application to biological discovery.     

The art and design of genetic screens: Drosophila melanogaster

The success of Drosophila melanogaster as a model organism is largely due to the power of forward genetic screens to identify the genes that are involved in a biological process. Traditional screens, such as the Nobel-prize-winning screen for embryonic-patterning mutants, can only identify the earliest phenotype of a mutation. This review describes the ingenious approaches that have been devised to circumvent this problem: modifier screens, for example, have been invaluable for elucidating signal-transduction pathways, whereas clonal screens now make it possible to screen for almost any phenotype in any cell at any stage of development.     

Sometimes the result is not the answer: the truths and the lies that come from using the complementation test

It is standard genetic practice to determine whether or not two independently obtained mutants define the same or different genes by performing the complementation test. While the complementation test is highly effective and accurate in most cases, there are a number of instances in which the complementation test provides misleading answers, either as a result of the failure of two mutations that are located in different genes to complement each other or by exhibiting complementation between two mutations that lie within the same gene. We are primarily concerned here with those cases in which two mutations lie in different genes, but nonetheless fail to complement each other. This phenomenon is often referred to as second-site noncomplementation (SSNC). The discovery of SSNC led to a large number of screens designed to search for genes that encode interacting proteins. However, screens for dominant enhancer mutations of semidominant alleles of a given gene have proved far more effective at identifying interacting genes whose products interact physically or functionally with the initial gene of interest than have SSNC-based screens.     

Mutagenesis strategies in zebrafish for identifying genes involved in development and disease

It has been nearly a decade since the completion of two large-scale chemical mutagenesis screens in zebrafish, and two years since the completion of a large-scale insertional mutagenesis. In this article, we use the accumulated data from these screens to compare the efficiency of each mutagen to isolate mutants and to identify mutated genes, and argue that the two mutagens target the same set of genes. We then review how both forward genetic screens and reverse genetic techniques, such as morpholinos and TILLING, and transgenics are being used to develop models of human disease.     

Genetic screens in Caenorhabditis elegans models for neurodegenerative diseases

Caenorhabditis elegans comprises unique features that make it an attractive model organism in diverse fields of biology. Genetic screens are powerful to identify genes and C. elegans can be customized to forward or reverse genetic screens and to establish gene function. These genetic screens can be applied to “humanized” models of C. elegans for neurodegenerative diseases, enabling for example the identification of genes involved in protein aggregation, one of the hallmarks of these diseases. In this review, we will describe the genetic screens employed in C. elegans and how these can be used to understand molecular processes involved in neurodegenerative and other human diseases. This article is part of a Special Issue entitled: From Genome to Function.     

Large Scale Identification of Genes Involved in Cell Surface Biosynthesis and Architecture in Saccharomyces Cerevisiae

The sequenced yeast genome offers a unique resource for the analysis of eukaryotic cell function and enables genome-wide screens for genes involved in cellular processes. We have identified genes involved in cell surface assembly by screening transposon-mutagenized cells for altered sensitivity to calcofluor white, followed by supplementary screens to further characterize mutant phenotypes. The mutated genes were directly retrieved from genomic DNA and then matched uniquely to a gene in the yeast genome database. Eighty-two genes with apparent perturbation of the cell surface were identified, with mutations in 65 of them displaying at least one further cell surface phenotype in addition to their modified sensitivity to calcofluor. Fifty of these genes were previously known, 17 encoded proteins whose function could be anticipated through sequence homology or previously recognized phenotypes and 15 genes had no previously known phenotype.     

Systematic identification of novel cancer genes through analysis of deep shRNA perturbation screens

Systematic perturbation screens provide comprehensive resources for the elucidation of cancer driver genes. The perturbation of many genes in relatively few cell lines in such functional screens necessitates the development of specialized computational tools with sufficient statistical power. Here we developed APSiC (Analysis of Perturbation Screens for identifying novel Cancer genes) to identify genetic drivers and effectors in perturbation screens even with few samples. Applying APSiC to the shRNA screen Project DRIVE, APSiC identified well-known and novel putative mutational and amplified cancer genes across all cancer types and in specific cancer types. Additionally, APSiC discovered tumor-promoting and tumor-suppressive effectors, respectively, for individual cancer types, including genes involved in cell cycle control, Wnt/β-catenin and hippo signalling pathways. We functionally demonstrated that LRRC4B, a putative novel tumor-suppressive effector, suppresses proliferation by delaying cell cycle and modulates apoptosis in breast cancer. We demonstrate APSiC is a robust statistical framework for discovery of novel cancer genes through analysis of large-scale perturbation screens. The analysis of DRIVE using APSiC is provided as a web portal and represents a valuable resource for the discovery of novel cancer genes.     

Mutations affecting the development of the peripheral nervous system in Drosophila: a molecular screen for novel proteins

In our quest for novel genes required for the development of the embryonic peripheral nervous system (PNS), we have performed three genetic screens using MAb 22C10 as a marker of terminally differentiated neurons. A total of 66 essential genes required for normal PNS development were identified, including 49 novel genes. To obtain information about the molecular nature of these genes, we decided to complement our genetic screens with a molecular screen. From transposon-tagged mutations identified on the basis of their phenotype in the PNS we selected 31 P-element strains representing 26 complementation groups on the second and third chromosomes to clone and sequence the corresponding genes. We used plasmid rescue to isolate and sequence 51 genomic fragments flanking the sites of these P-element insertions. Database searches using sequences derived from the ends of plasmid rescues allowed us to assign genes to one of four classes: (1) previously characterized genes (11), (2) first mutations in cloned genes (1), (3) P-element insertions in genes that were identified, but not characterized molecularly (1), and (4) novel genes (13). Here, we report the cloning, sequence, Northern analysis, and the embryonic expression pattern of candidate cDNAs for 10 genes: astray, chrowded, dalmatian, gluon, hoi-polloi, melted, pebble, skittles, sticky ch1, and vegetable. This study allows us to draw conclusions about the identity of proteins required for the development of the nervous system in Drosophila and provides an example of a molecular approach to characterize en masse transposon-tagged mutations identified in genetic screens.     

Fluorescence-based phenotypic selection allows forward genetic screens in haploid human cells

The isolation of haploid cell lines has recently allowed the power of forward genetic screens to be applied to mammalian cells. The interest in applying this powerful genetic approach to a mammalian system is only tempered by the limited utility of these screens, if confined to lethal phenotypes. Here we expand the scope of these approaches beyond live/dead screens and show that selection for a cell surface phenotype via fluorescence-activated cell sorting can identify the key molecules in an intracellular pathway, in this case MHC class I antigen presentation. Non-lethal haploid genetic screens are widely applicable to identify genes involved in essentially any cellular pathway.     

An F1 genetic screen for maternal-effect mutations affecting embryonic pattern formation in Drosophila melanogaster

Large-scale screens for female-sterile mutations have revealed genes required maternally for establishment of the body axes in the Drosophila embryo. Although it is likely that the majority of components involved in axis formation have been identified by this approach, certain genes have escaped detection. This may be due to (1) incomplete saturation of the screens for female-sterile mutations and (2) genes with essential functions in zygotic development that mutate to lethality, precluding their identification as female-sterile mutations. To overcome these limitations, we performed a genetic mosaic screen aimed at identifying new maternal genes required for early embryonic patterning, including zygotically required ones. Using the Flp-FRT technique and a visible germline clone marker, we developed a system that allows efficient screening for maternal-effect phenotypes after only one generation of breeding, rather than after the three generations required for classic female-sterile screens. We identified 232 mutants showing various defects in embryonic pattern or morphogenesis. The mutants were ordered into 10 different phenotypic classes. A total of 174 mutants were assigned to 86 complementation groups with two alleles on average. Mutations in 45 complementation groups represent most previously known maternal genes, while 41 complementation groups represent new loci, including several involved in dorsoventral, anterior-posterior, and terminal patterning.     

Toward the genetics of mammalian reproduction: induction and mapping of gametogenesis mutants in mice

The genetic control of mammalian gametogenesis is inadequately characterized because of a lack of mutations causing infertility. To further the discovery of genes required for mammalian gametogenesis, phenotype-driven screens were performed in mice using random chemical mutagenesis of whole animals and embryonic stem cells. Eleven initial mutations are reported here that affect proliferation of germ cells, meiosis, spermiogenesis, and spermiation. Nine of the mutations have been mapped genetically. These preliminary studies provide baselines for estimating the number of genes required for gametogenesis and offer guidance in conducting new genetic screens that will accelerate and optimize mutant discovery. This report demonstrates the efficacy and expediency of mutagenesis to identify new genes required for mammalian gamete development.     

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.