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Open Access

Review

Somatic Genetics Empowers the Mouse for Modeling and Interrogating Developmental and Disease Processes

  • Sean F. Landrette,

    Affiliation Department of Genetics, Howard Hughes Medical Institute, Yale University School of Medicine, Boyer Center for Molecular Medicine, New Haven, Connecticut, United States of America

    ⨯
  • Tian Xu

    tian.xu@yale.edu

    Affiliations Department of Genetics, Howard Hughes Medical Institute, Yale University School of Medicine, Boyer Center for Molecular Medicine, New Haven, Connecticut, United States of America, Institute of Developmental Biology and Molecular Medicine, Fudan-Yale Center for Biomedical Research, School of Life Science, Fudan University, Shanghai, China

    ⨯

Abstract

With recent advances in genomic technologies, candidate human disease genes are being mapped at an accelerated pace. There is a clear need to move forward with genetic tools that can efficiently validate these mutations in vivo. Murine somatic mutagenesis is evolving to fulfill these needs with tools such as somatic transgenesis, humanized rodents, and forward genetics. By combining these resources one is not only able to model disease for in vivo verification, but also to screen for mutations and pathways integral to disease progression and therapeutic intervention. In this review, we briefly outline the current advances in somatic mutagenesis and discuss how these new tools, especially the piggyBac transposon system, can be applied to decipher human biology and disease.

Citation: Landrette SF, Xu T (2011) Somatic Genetics Empowers the Mouse for Modeling and Interrogating Developmental and Disease Processes. PLoS Genet 7(7): e1002110. https://doi.org/10.1371/journal.pgen.1002110

Editor: Gregory A. Cox, The Jackson Laboratory, United States of America

Published: July 21, 2011

Copyright: © 2011 Landrette, Xu. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Funding: The authors received no specific funding for this article.

Competing interests: The authors have declared that no competing interests exist.

Introduction

The recent revolution in high-throughput sequencing and genomic technologies has enabled geneticists to rapidly map disease susceptibility to genomic regions. As a result, there has been an explosion in the number of candidate genes identified for a multitude of human conditions [1]. We are now faced with the daunting task of verifying candidate disease genes, deciphering underlying mechanisms, and developing therapeutic strategies. The ability to genetically manipulate the mouse to study and model disease in vivo makes it an ideal tool to match the challenge. Current and future application of genetic tools such as somatic mosaicism, humanized rodents, and forward genetics will empower interrogation of mammalian biology and disease in the coming years. The ability to efficiently produce genetic mosaics facilitates gene analysis in somatic cells, which will reduce the time and cost that has been associated in producing germline models. Humanized rodents, which continue to evolve into better human models, can be combined with genetic mosaic tools to dissect mechanisms of human disease. Furthermore, the advent of forward genetic screening strategies like in vivo RNAi and insertional mutagenesis now allows investigators to identify novel players in mammalian disease and developmental processes. With these new tools in hand, investigators can use the mouse to rapidly identify key pathways in disease pathogenesis for targeted therapies.

It has become increasingly clear that somatic alterations, whether sequence changes or copy number variations, play a prominent role in human disease and physiology. An obvious example is cancer, where cells can be marked by hundreds of somatic mutations, many of which likely drive the progression of the disease [2], [3]. Interestingly, somatic mutations can also revert disease phenotypes, as illustrated recently in the case of ichthyosis with confetti, which has allowed for the identification of the causative mutation [4]. There are also established roles for somatic mutations and the accompanying mosaicism in shaping the defense repertoire of our immune system [5] and possibly creating neuronal diversity [6]–[8]. Clearly, genetic mosaicism is an important mechanism driving many developmental processes, but in an aberrant context can cause disease. The advent of genetic tools, which allow us to mirror somatic mosaicism by the introduction of mutations temporally and spatially in distinct populations of cells, provide a powerful means to study the cellular interplay that shapes disease and developmental processes (Table 1).

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Table 1. Genetic Tools for Generating Mutant Clones and Somatic Mutagenesis in Mice.

https://doi.org/10.1371/journal.pgen.1002110.t001

Rapid Dissection of Disease and Development in the Mouse

One of the major drawbacks of mouse genetics is the time it takes to generate germline transgenic or knockout lines and to combine multiple alleles into the same background. Performing experiments with somatic gene introduction has the potential to dramatically enhance the speed and broaden the scope of such experiments. Lentiviral- and transposon-mediated genetic manipulation will likely be widely used moving forward, due to the potential for genetically manipulating a variety of cell types and stably integrating transgenes. Although targeted mutations cannot be induced with these modalities, they can be introduced into lines harboring traditional germline-targeted alleles, thus broadening the utility of both systems.

Viral Vectors for Somatic Transgenesis

Integrating viral vectors like retrovirus or lentivirus have been used to create genetic mosaicism by overexpressing genes or knocking down mRNA with RNAi [9]–[12]. Specific tissues can be targeted by injecting the virus directly into the desired site, or transgenes can be used to specifically direct infection or expression to certain tissues. For example, the RCAS/TVA transgenic system allows for higher specificity of mutation through transgenic expression of the TVA receptor, which is needed for infection [13]. This elegant system has been used to study development as well as model cancer [14]–[17]. Alternatively, tissue-specific Cre lines can be used to direct expression of lentivirus transgenes, as recently utilized to model glioma [18]. The lentiviral approach has the added benefits of being able to infect non-dividing cells and carry larger DNA payloads [10], [19], [20]. Furthermore, extensive libraries of cDNA or shRNA constructs are commercially available in lentiviral backbones, which allows for rapid implementation and facilitates forward genetic screens.

Transposons and the φC31 Integrase for Somatic Transgenesis

The advent of in vivo transfection and electroporation to introduce plasmid DNA in mammalian tissues has allowed researchers to rapidly study gene function in the soma, as reviewed in [21]–[23]. Combining these gene delivery technologies with integrase or DNA cut-and-paste transposon systems allows for rapid and stable introduction of transgenes. In the case of the bacteriophage φC31 integrase system, plasmid DNA containing an attB site is transferred by the integrase into pseudo-attp sites in the mammalian genome [24]. The specific integration of plasmid DNA into a limited number of pseudo-attp sites by φC31 integrase is appealing for gene therapy approaches, as it reduces the chance of undesired phenotypes like cancer development due to insertional mutation [25]. For transposon-mediated gene transfer, the gene(s) are simply flanked in a plasmid by transposon end sequences and are introduced in trans with transposase to induce transposition into the target cell genome. Modified Sleeping Beauty (SB) and piggyBac (PB) transposon/transposase systems have been used to mediate stable integration and expression of transgenes in human cells and mice [26]–[32]. This strategy has been adapted to rapidly model brain tumors [33] and test gene therapy approaches in mice [28], [34]–[36]. Thus, the φC31 integrase and transposon tools can be rapidly constructed and implemented to efficiently integrate DNA into somatic cells.

The superior transposition efficiency and cargo capacity of the PB transposon make it an ideal tool for gene manipulation in the soma. The PB transposon system can transpose up to 10 kb of payload without a significant drop in transposition activity [26]. This large payload size allows for the combination of several cDNAs or RNAi hairpins to be combined into one construct. Such a strategy has been used to express multiple transcription factors in one PB transposon to reprogram differentiated fibroblasts into induced pluripotent stem (IPS) cells [37]. The unique ability of the PB transposon to excise from the genome without leaving a mutation also allows the transgene to be removed cleanly [37]. Furthermore, it is possible to transpose multiple transposons into the same cell, further enhancing the sophistication that can be incorporated into the genetic manipulation [38], . The PB system, like lentiviral constructs, will be useful in not only modeling disease, but also for dissecting molecular mechanisms (Figure 1). An immediate application would be to validate the increasing number of candidate cancer genes being identified by high-throughput sequencing and copy number analysis of human tumors [40]–[47]. In contrast, the traditional production of a murine transgenic or knockout allele for each one of these candidate genes in a similar effort would be extremely costly and time-consuming.

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Figure 1. Somatic phenotypes like cancer can be modeled and genetically dissected with transposon mutagenesis.

Potential oncogenic pathway to be interrogated with candidate oncogene X and effector Y in red (left). Depiction of PB transposon construct for verifying oncogene X (center). Yellow arrows detail transposon arms. Promoters are depicted by blue pointed boxes. Gene X is indicated by red box and luciferase marker is indicated by green box. To test if effector Y is involved in the oncogenic pathway, an shRNA cassette to knockdown gene Y is represented by the red box (right). The transposons are co-transfected or electroporated with PBase (lower yellow box) to stably integrate the transposon construct into the mouse cells. The green cells in the mouse indicate luciferase positive cells expressing the transposed construct, which are monitored for the tumor formation.

https://doi.org/10.1371/journal.pgen.1002110.g001

Somatic Transgenesis of Human Tissues

Although mouse genetics and in vitro cell culture have been successful experimental surrogates for human disease, studying human cells in an in vivo environment is ideal. This can be accomplished by transplanting human cells into mice or rats to study developmental or disease processes. Such xenograft transplants have been widely used to model cancer as reviewed in [48]–[50]. However, a strategy involving the xenografting of normal human cells to develop chimeric rodents first, and then the induction of disease causing mutations would be much more attractive to study pathogenesis. Researchers are actively working to improve humanized models by increasing the engraftment and function of human cells into mouse tissues [51]–[53].

The ability to reprogram differentiated cells to embryonic stem cell–like IPS cells as first reported by the Yamanaka group [54] has opened up new avenues for personalized cellular therapies. These stem cells have the potential to serve as a source to replace damaged, diseased, or aged tissues. Investigators have performed proof-of-principle experiments in the mouse and rat to treat a variety of degenerative conditions by cellular transplantation of IPS or cells derived from IPS cells including: sickle cell anemia [55], spinal cord injury [56], hemophilia [57], diabetes [58], and Parkinson's disease [59]. Building upon the mouse experiments, IPS cells have been produced from normal and diseased human cells [60]–[62]. These disease-specific IPS cells could be used as donor cells to engraft for humanized mouse models.

Patient-derived disease-specific IPS cells are a perfect source of material to genetically dissect disease. Inducible transgenes can be introduced into these cells before engraftment into recipient mice such that the molecular mechanism of the disease could be studied in an in vivo environment. The PB transposon is ideally suited for such experiments. Inducible genes or shRNAs could be introduced to activate or repress cellular pathways to test the effect on disease progression. Rats would also be an attractive host for future models because of their well-studied pharmacological metabolism. Such experimental models will likely be ideal to identify therapeutic targets genetically and then to test drugs in preclinical trials.

Screening for Disease-Associated Phenotypes with Somatic Mutagens

Forward genetic screens, a phenotypic approach for screening mutants without a priori assumptions of the molecular nature of the affected genes, has been a powerful tool in lower organisms to map genes responsible for a variety of phenotypes. In mice, somatic forward genetic screens allow investigators to screen many genes in one animal by mosaic mutagenesis, thus saving time and money. To date, such somatic screens have been limited to the identification of genes involved in cancer, but the development of new genetic tools has now made screening for other phenotypes possible.

In Vivo RNAi Screens

Loss-of-function screens have been performed in vivo with viral RNAi libraries [63]–[65]. These screens involve isolating progenitor cells, transducing with an RNAi library, and transplanting the cells back into mice. The screens have successfully identified novel tumor suppressors in the development of hepatocellular carcinoma and leukemia. Unfortunately, not all tissues are currently amenable to such transplantation protocols, but future improvements to the efficiency of in vivo lentiviral transduction or transposon introduction may facilitate screens in other tissues. As a result, screening systems that do not rely on exogenous gene delivery are currently more broadly applicable for in vivo forward genetic screens.

Insertional Mutagenesis with Retrovirus

To date, the most widely used forward genetic strategy in the mouse has been insertional mutagenesis with replication-competent retroviruses. These retroviruses have been used as a mutagen to identify genes involved in cancer formation. The insertion of the retroviral provirus into the host genome can cause mutation by disrupting a gene sequence, by upregulating endogenous transcription from the viral LTR, or by producing hypomorphic alleles by inducing missplicing or alternative polyadenlation from the provirus. The provirus also serves as a tag to identify the insertion site and genes affected by PCR strategies. Thus, insertional mutagenesis with retrovirus mutates and tags genes, which allows rapid identification of causative mutations [66]. Indeed, many candidate genes identified in these screens have been confirmed to be bona fide cancer genes as reviewed in [67]. Modifier screens have also revealed cooperation between distinct oncogenic pathways [68], [69]. Although retroviral mutagenesis is a validated forward genetic tool, its broad utility is limited due to the fact that the tissue selectivity of the retroviral mutagen limits these screens to hematopoietic and mammary tissues.

Insertional Mutagenesis with Transposons

Transposon insertional mutagenesis (TIM) is a powerful tool for inducing and identifying mutations of interest and has been utilized with great effect in many organisms, from the bacterium to the fruit fly Drosophila melanogaster [70], [71]. The SB and PB DNA transposons have been developed for germline TIM in mice [26], [72]–[75]. TIM systems allow the induction and identification of mutations much like retroviral insertional mutagenesis, but with the ability to target any tissue where a promoter is available. The bipartite system consists of a transgenic line of non-autonomous mutagenic transposons and a line expressing the transposase, which promotes transposition [76]. Application of TIM in the mouse germline enables collections of mutant animals to be rapidly produced simply by breeding [26], [72]. In fact, a large-scale germline insertional mutagenesis with the PB transposon has already produced more than 5,000 mouse lines, each with a different gene mutated and a broad range of phenotypes (X. Wu and T. Xu, unpublished data; http://idm.fudan.edu.cn/PBmice). Furthermore, a Blm-deficient background can be used to increase the rate at which transposon insertions are converted from heterozygous to homozygous for rapid induction of recessive mutations [77]. The success of germline TIM in decoding gene and regulatory element function indicates that the strategy can be applied to the soma for rapid and efficient forward genetic screens.

Somatic forward genetic screens have the potency to interrogate thousands of genes for a wide range of phenotypes in a single animal. This has been illustrated by the successful application of TIM in somatic tissues for cancer gene discovery with SB and PB [78]–[83]. These screens have identified known human cancer genes and identified new players, thus confirming TIM as a viable technology for mapping mutations associated with somatic phenotypes. The induction of multiple tumors per mouse also reduced the number of animals required to identify candidate genes. By constructing latent transposase alleles with the Cre system, specific somatic tissues have also been directly targeted for screens [84]–[86]. With the proven success of the SB and PB systems in interrogating cancer development, it is likely that TIM can be applied to other developmental and disease processes.

The PB transposon has distinct advantages that make it an attractive tool for applying somatic mutagenesis for other phenotypes. First, PB has high transposition efficiency and can mobilize large DNA payloads [26], [31], [87], [88]. This allows for the creation of highly mutagenic transposons and therefore insertional screens to be performed with one or several copies of the transposon. Fewer transposons per cell is especially helpful in identifying causative mutations, because there will be less background or “bystander” insertions. The larger DNA payload also allows for the inclusion of fluorescent or bioluminescent markers for identifying mutated cells. Second, PB does not leave a footprint or mutation after excision like other transposons, so a direct correlation between insertion and the phenotype can be made [26], [89], [90]. However, a mutational footprint may be advantageous for inducing phenotypes that require multiple mutations as evidenced by efficient cancer induction with SB [78]–[82]. Third, the majority of PB insertions are genome wide compared to the extensive local hopping (transposon reinsertion close to original site) found with SB [26], [83]. Although local hopping is advantageous for saturating mutagenesis at certain genomic regions [91], it complicates the identification of causative mutations and contributes to the formation of genomic rearrangements [92]. Thus, the high efficiency of mutagenesis and ease of mapping causative mutations makes PB desirable for gene discovery in developmental and disease processes.

Theoretically, transposon mutagenesis can be performed in any tissue or cell type and applied to any phenotype. However, while tumors are readily identifiable, locating mutant clones is a prerequisite for screening and analyzing many other somatic phenotypes. Visibly marking mutant somatic clones has been employed in Drosophila, zebrafish, and mice and demonstrated to have tremendous utility in analyzing a variety of clonal behaviors in vivo [93]–[97]. Consequently, a somatic TIM system that incorporates the ability to track mutagenized cells would be ideal in somatic screens for phenotypes other than tumor formation. We have recently exploited PB's unique properties to develop a highly efficient, Cre-inducible TIM system and have demonstrated that tracking mutant clones with visible markers allows detection of altered cellular proliferation and infiltration, among other phenotypes induced by insertional mutation (S. Landrette, J. Cornett, T. Ni, M. Bosenberg, and T. Xu, unpublished data). Thus, TIM will likely be employed in future studies to identify novel players in mammalian disease and developmental pathways in vivo. Exciting areas for interrogation include immunology, neurobiology, and cancer metastasis.

Screening for Disease and Developmental Phenotypes in Humanized Mice

The next step would be to perform TIM screens in humanized mice such that disease phenotypes could be genetically interrogated in human cells in vivo. A TIM system consisting of multiple copies of a mutagenic transposon and an inducible transposase could be stably introduced into human IPS cells by transfection and selection. The cells would then be introduced into a humanized mouse and screened for disease or developmental phenotypes (Figure 2). Beyond inducing disease, it is also possible to screen for reversion of disease phenotypes, which will be particularly useful in identifying relevant targets for developing therapeutics. For example, IPS cells could be generated from a patient with a neurodegenerative disease. These cells could be introduced into a humanized mouse and mutagenized with a TIM system. Clones of neurons that survive in the mouse tissue and do not degenerate could be isolated and the transposon insertions mapped. The insertional mutations identified likely would reveal novel pathways involved in neurodegeneration that may be amenable to therapeutic targeting. Thus, somatic mutagenesis has the potential for unraveling the complexities of disease processes in human cells that are difficult to experimentally query in vitro or through human genome sequencing.

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Figure 2. Screening for phenotypes in humanized mice with patient-derived IPS cells.

IPS cells are first created from a patient. A mutator transposon containing mutagenic elements (red box) and a GFP marker (green box) and an inducible PBase construct (utilizing the Cre-ER/lox or Tet system) is introduced into patient-derived IPS cells. Green cells indicate GFP expression from the stably integrated mutator transposon(s). The cells are then introduced into the mouse tissue by injection (syringe). Next, transposase activity is induced, which mobilizes the mutagenic transposon, resulting in insertional mutation. Finally, the mice are screened for the desired disease or developmental phenotype.

https://doi.org/10.1371/journal.pgen.1002110.g002

Conclusion

In summary, recent technological advancements in mouse genetics have now provided opportunities to somatically interrogate the mouse and human genome that have previously only been possible in non-mammalian genetic model organisms. Great strides have been made in modeling somatic mosaicism, humanizing mice, and forward genetic screening. Moving forward, lentiviral and DNA transposon systems should be incredibly powerful in modeling and dissecting developmental and disease processes due to their ability to efficiently stably integrate large payloads of genetic sequence. Combining these genetic tools with humanized mice allows investigators to genetically manipulate human cells in vivo, which should push the boundaries of human biology. Furthermore, mammalian forward genetics is now at a point where novel causative mutations in cancer and beyond can be mapped. The advent of highly efficient TIM systems like PB allows genome-wide screens to be performed in small cohorts of mice. Thus, individual investigators now have the screening power to interrogate mammalian phenotypes in vivo. It is likely that screens will soon discover mutations that can revert disease phenotypes, which would accelerate the identification of new therapeutic avenues. The mouse continues to be the model of choice for in vivo verification and advances in somatic mutagenesis are evolving the mouse as an indispensable tool for gene discovery.

Acknowledgments

We apologize to colleagues whose work was not cited due to space limitations. We would like to thank D. Ngyuen, J. Choi, T. Ni, J. Cornett, and K. Padmanabhan for discussion and comments.

References

  1. 1. Heard E, Tishkoff S, Todd JA, Vidal M, Wagner GP, et al. Ten years of genetics and genomics: what have we achieved and where are we heading? Nat Rev Genet 11: 723–733.
  2. 2. Hanahan D, Weinberg RAHallmarks of cancer: the next generation. Cell 144: 646–674.
  3. 3. Vogelstein B, Kinzler KW (2004) Cancer genes and the pathways they control. Nat Med 10: 789–799.
  4. 4. Choate KA, Lu Y, Zhou J, Choi M, Elias PM, et al. Mitotic Recombination in Patients with Ichthyosis Causes Reversion of Dominant Mutations in KRT10. Science.
  5. 5. Rajewsky K (1996) Clonal selection and learning in the antibody system. Nature 381: 751–758.
  6. 6. Muotri AR, Chu VT, Marchetto MC, Deng W, Moran JV, et al. (2005) Somatic mosaicism in neuronal precursor cells mediated by L1 retrotransposition. Nature 435: 903–910.
  7. 7. Coufal NG, Garcia-Perez JL, Peng GE, Yeo GW, Mu Y, et al. (2009) L1 retrotransposition in human neural progenitor cells. Nature 460: 1127–1131.
  8. 8. Singer T, McConnell MJ, Marchetto MC, Coufal NG, Gage FHLINE-1 retrotransposons: mediators of somatic variation in neuronal genomes? Trends Neurosci 33: 345–354.
  9. 9. Naldini L, Blomer U, Gage FH, Trono D, Verma IM (1996) Efficient transfer, integration, and sustained long-term expression of the transgene in adult rat brains injected with a lentiviral vector. Proc Natl Acad Sci U S A 93: 11382–11388.
  10. 10. Naldini L, Blomer U, Gallay P, Ory D, Mulligan R, et al. (1996) In vivo gene delivery and stable transduction of nondividing cells by a lentiviral vector. Science 272: 263–267.
  11. 11. Miller AD, Miller DG, Garcia JV, Lynch CM (1993) Use of retroviral vectors for gene transfer and expression. Methods Enzymol 217: 581–599.
  12. 12. Tiscornia G, Singer O, Ikawa M, Verma IM (2003) A general method for gene knockdown in mice by using lentiviral vectors expressing small interfering RNA. Proc Natl Acad Sci U S A 100: 1844–1848.
  13. 13. Federspiel MJ, Bates P, Young JA, Varmus HE, Hughes SH (1994) A system for tissue-specific gene targeting: transgenic mice susceptible to subgroup A avian leukosis virus-based retroviral vectors. Proc Natl Acad Sci U S A 91: 11241–11245.
  14. 14. Doetsch F, Caille I, Lim DA, Garcia-Verdugo JM, Alvarez-Buylla A (1999) Subventricular zone astrocytes are neural stem cells in the adult mammalian brain. Cell 97: 703–716.
  15. 15. Murphy GJ, Leavitt AD (1999) A model for studying megakaryocyte development and biology. Proc Natl Acad Sci U S A 96: 3065–3070.
  16. 16. Holland EC, Celestino J, Dai C, Schaefer L, Sawaya RE, et al. (2000) Combined activation of Ras and Akt in neural progenitors induces glioblastoma formation in mice. Nat Genet 25: 55–57.
  17. 17. Holland EC, Hively WP, DePinho RA, Varmus HE (1998) A constitutively active epidermal growth factor receptor cooperates with disruption of G1 cell-cycle arrest pathways to induce glioma-like lesions in mice. Genes Dev 12: 3675–3685.
  18. 18. Marumoto T, Tashiro A, Friedmann-Morvinski D, Scadeng M, Soda Y, et al. (2009) Development of a novel mouse glioma model using lentiviral vectors. Nat Med 15: 110–116.
  19. 19. Orsulic S (2002) An RCAS-TVA-based approach to designer mouse models. Mamm Genome 13: 543–547.
  20. 20. Kumar M, Keller B, Makalou N, Sutton RE (2001) Systematic determination of the packaging limit of lentiviral vectors. Hum Gene Ther 12: 1893–1905.
  21. 21. Mir LM, Moller PH, Andre F, Gehl J (2005) Electric pulse-mediated gene delivery to various animal tissues. Adv Genet 54: 83–114.
  22. 22. Barnabe-Heider F, Meletis K, Eriksson M, Bergmann O, Sabelstrom H, et al. (2008) Genetic manipulation of adult mouse neurogenic niches by in vivo electroporation. Nat Methods 5: 189–196.
  23. 23. Tros de Ilarduya C, Sun Y, Duzgunes NGene delivery by lipoplexes and polyplexes. Eur J Pharm Sci 40: 159–170.
  24. 24. Keravala A, Calos MP (2008) Site-specific chromosomal integration mediated by phiC31 integrase. Methods Mol Biol 435: 165–173.
  25. 25. Woodard LE, Keravala A, Jung WE, Wapinski OL, Yang Q, et al. Impact of hydrodynamic injection and phiC31 integrase on tumor latency in a mouse model of MYC-induced hepatocellular carcinoma. PLoS ONE 5: e11367.
  26. 26. Ding S, Wu X, Li G, Han M, Zhuang Y, et al. (2005) Efficient transposition of the piggyBac (PB) transposon in mammalian cells and mice. Cell 122: 473–483.
  27. 27. Ivics Z, Hackett PB, Plasterk RH, Izsvak Z (1997) Molecular reconstruction of Sleeping Beauty, a Tc1-like transposon from fish, and its transposition in human cells. Cell 91: 501–510.
  28. 28. Yant SR, Meuse L, Chiu W, Ivics Z, Izsvak Z, et al. (2000) Somatic integration and long-term transgene expression in normal and haemophilic mice using a DNA transposon system. Nat Genet 25: 35–41.
  29. 29. Cadinanos J, Bradley A (2007) Generation of an inducible and optimized piggyBac transposon system. Nucleic Acids Res 35: e87.
  30. 30. Luo G, Ivics Z, Izsvak Z, Bradley A (1998) Chromosomal transposition of a Tc1/mariner-like element in mouse embryonic stem cells. Proc Natl Acad Sci U S A 95: 10769–10773.
  31. 31. Wang W, Lin C, Lu D, Ning Z, Cox T, et al. (2008) Chromosomal transposition of PiggyBac in mouse embryonic stem cells. Proc Natl Acad Sci U S A 105: 9290–9295.
  32. 32. Dupuy AJ, Clark K, Carlson CM, Fritz S, Davidson AE, et al. (2002) Mammalian germ-line transgenesis by transposition. Proc Natl Acad Sci U S A 99: 4495–4499.
  33. 33. Wiesner SM, Decker SA, Larson JD, Ericson K, Forster C, et al. (2009) De novo induction of genetically engineered brain tumors in mice using plasmid DNA. Cancer Res 69: 431–439.
  34. 34. Bell JB, Podetz-Pedersen KM, Aronovich EL, Belur LR, McIvor RS, et al. (2007) Preferential delivery of the Sleeping Beauty transposon system to livers of mice by hydrodynamic injection. Nat Protoc 2: 3153–3165.
  35. 35. Saridey SK, Liu L, Doherty JE, Kaja A, Galvan DL, et al. (2009) PiggyBac transposon-based inducible gene expression in vivo after somatic cell gene transfer. Mol Ther 17: 2115–2120.
  36. 36. Nakanishi H, Higuchi Y, Kawakami S, Yamashita F, Hashida MpiggyBac transposon-mediated long-term gene expression in mice. Mol Ther 18: 707–714.
  37. 37. Yusa K, Rad R, Takeda J, Bradley A (2009) Generation of transgene-free induced pluripotent mouse stem cells by the piggyBac transposon. Nat Methods 6: 363–369.
  38. 38. Kahlig KM, Saridey SK, Kaja A, Daniels MA, George AL Jr, et al. Multiplexed transposon-mediated stable gene transfer in human cells. Proc Natl Acad Sci U S A 107: 1343–1348.
  39. 39. Nakazawa Y, Huye LE, Dotti G, Foster AE, Vera JF, et al. (2009) Optimization of the PiggyBac transposon system for the sustained genetic modification of human T lymphocytes. J Immunother 32: 826–836.
  40. 40. Beroukhim R, Mermel CH, Porter D, Wei G, Raychaudhuri S, et al. The landscape of somatic copy-number alteration across human cancers. Nature 463: 899–905.
  41. 41. Jones S, Chen WD, Parmigiani G, Diehl F, Beerenwinkel N, et al. (2008) Comparative lesion sequencing provides insights into tumor evolution. Proc Natl Acad Sci U S A 105: 4283–4288.
  42. 42. Jones S, Zhang X, Parsons DW, Lin JC, Leary RJ, et al. (2008) Core signaling pathways in human pancreatic cancers revealed by global genomic analyses. Science 321: 1801–1806.
  43. 43. Leary RJ, Lin JC, Cummins J, Boca S, Wood LD, et al. (2008) Integrated analysis of homozygous deletions, focal amplifications, and sequence alterations in breast and colorectal cancers. Proc Natl Acad Sci U S A 105: 16224–16229.
  44. 44. Parsons DW, Jones S, Zhang X, Lin JC, Leary RJ, et al. (2008) An integrated genomic analysis of human glioblastoma multiforme. Science 321: 1807–1812.
  45. 45. Sjoblom T, Jones S, Wood LD, Parsons DW, Lin J, et al. (2006) The consensus coding sequences of human breast and colorectal cancers. Science 314: 268–274.
  46. 46. Wood LD, Parsons DW, Jones S, Lin J, Sjoblom T, et al. (2007) The genomic landscapes of human breast and colorectal cancers. Science 318: 1108–1113.
  47. 47. Meyerson M, Gabriel S, Getz GAdvances in understanding cancer genomes through second-generation sequencing. Nat Rev Genet 11: 685–696.
  48. 48. Sharpless NE, Depinho RA (2006) The mighty mouse: genetically engineered mouse models in cancer drug development. Nat Rev Drug Discov 5: 741–754.
  49. 49. Fiebig HH, Berger DP, Winterhalter BR, Plowman J (1990) In vitro and in vivo evaluation of US-NCI compounds in human tumor xenografts. Cancer Treat Rev 17: 109–117.
  50. 50. Johnson JI, Decker S, Zaharevitz D, Rubinstein LV, Venditti JM, et al. (2001) Relationships between drug activity in NCI preclinical in vitro and in vivo models and early clinical trials. Br J Cancer 84: 1424–1431.
  51. 51. Brehm MA, Shultz LD, Greiner DLHumanized mouse models to study human diseases. Curr Opin Endocrinol Diabetes Obes 17: 120–125.
  52. 52. Legrand N, Ploss A, Balling R, Becker PD, Borsotti C, et al. (2009) Humanized mice for modeling human infectious disease: challenges, progress, and outlook. Cell Host Microbe 6: 5–9.
  53. 53. Shultz LD, Ishikawa F, Greiner DL (2007) Humanized mice in translational biomedical research. Nat Rev Immunol 7: 118–130.
  54. 54. Takahashi K, Yamanaka S (2006) Induction of pluripotent stem cells from mouse embryonic and adult fibroblast cultures by defined factors. Cell 126: 663–676.
  55. 55. Hanna J, Wernig M, Markoulaki S, Sun CW, Meissner A, et al. (2007) Treatment of sickle cell anemia mouse model with iPS cells generated from autologous skin. Science 318: 1920–1923.
  56. 56. Tsuji O, Miura K, Okada Y, Fujiyoshi K, Mukaino M, et al. Therapeutic potential of appropriately evaluated safe-induced pluripotent stem cells for spinal cord injury. Proc Natl Acad Sci U S A 107: 12704–12709.
  57. 57. Xu D, Alipio Z, Fink LM, Adcock DM, Yang J, et al. (2009) Phenotypic correction of murine hemophilia A using an iPS cell-based therapy. Proc Natl Acad Sci U S A 106: 808–813.
  58. 58. Alipio Z, Liao W, Roemer EJ, Waner M, Fink LM, et al. Reversal of hyperglycemia in diabetic mouse models using induced-pluripotent stem (iPS)-derived pancreatic beta-like cells. Proc Natl Acad Sci U S A 107: 13426–13431.
  59. 59. Wernig M, Zhao JP, Pruszak J, Hedlund E, Fu D, et al. (2008) Neurons derived from reprogrammed fibroblasts functionally integrate into the fetal brain and improve symptoms of rats with Parkinson's disease. Proc Natl Acad Sci U S A 105: 5856–5861.
  60. 60. Yu J, Vodyanik MA, Smuga-Otto K, Antosiewicz-Bourget J, Frane JL, et al. (2007) Induced pluripotent stem cell lines derived from human somatic cells. Science 318: 1917–1920.
  61. 61. Takahashi K, Tanabe K, Ohnuki M, Narita M, Ichisaka T, et al. (2007) Induction of pluripotent stem cells from adult human fibroblasts by defined factors. Cell 131: 861–872.
  62. 62. Park IH, Arora N, Huo H, Maherali N, Ahfeldt T, et al. (2008) Disease-specific induced pluripotent stem cells. Cell 134: 877–886.
  63. 63. Bric A, Miething C, Bialucha CU, Scuoppo C, Zender L, et al. (2009) Functional identification of tumor-suppressor genes through an in vivo RNA interference screen in a mouse lymphoma model. Cancer Cell 16: 324–335.
  64. 64. Meacham CE, Ho EE, Dubrovsky E, Gertler FB, Hemann MT (2009) In vivo RNAi screening identifies regulators of actin dynamics as key determinants of lymphoma progression. Nat Genet 41: 1133–1137.
  65. 65. Zender L, Xue W, Zuber J, Semighini CP, Krasnitz A, et al. (2008) An oncogenomics-based in vivo RNAi screen identifies tumor suppressors in liver cancer. Cell 135: 852–864.
  66. 66. Jonkers J, Berns A (1996) Retroviral insertional mutagenesis as a strategy to identify cancer genes. Biochim Biophys Acta 1287: 29–57.
  67. 67. Uren AG, Kool J, Berns A, van Lohuizen M (2005) Retroviral insertional mutagenesis: past, present and future. Oncogene 24: 7656–7672.
  68. 68. Kool J, Berns A (2009) High-throughput insertional mutagenesis screens in mice to identify oncogenic networks. Nat Rev Cancer 9: 389–399.
  69. 69. Mikkers H, Berns A (2003) Retroviral insertional mutagenesis: tagging cancer pathways. Adv Cancer Res 88: 53–99.
  70. 70. Cooley L, Kelley R, Spradling A (1988) Insertional mutagenesis of the Drosophila genome with single P elements. Science 239: 1121–1128.
  71. 71. Kleckner N, Roth J, Botstein D (1977) Genetic engineering in vivo using translocatable drug-resistance elements. New methods in bacterial genetics. J Mol Biol 116: 125–159.
  72. 72. Wu S, Ying G, Wu Q, Capecchi MR (2007) Toward simpler and faster genome-wide mutagenesis in mice. Nat Genet 39: 922–930.
  73. 73. Dupuy AJ, Fritz S, Largaespada DA (2001) Transposition and gene disruption in the male germline of the mouse. Genesis 30: 82–88.
  74. 74. Fischer SE, Wienholds E, Plasterk RH (2001) Regulated transposition of a fish transposon in the mouse germ line. Proc Natl Acad Sci U S A 98: 6759–6764.
  75. 75. Horie K, Kuroiwa A, Ikawa M, Okabe M, Kondoh G, et al. (2001) Efficient chromosomal transposition of a Tc1/mariner- like transposon Sleeping Beauty in mice. Proc Natl Acad Sci U S A 98: 9191–9196.
  76. 76. Nguyen D, Xu T (2008) The expanding role of mouse genetics for understanding human biology and disease. Dis Model Mech 1: 56–66.
  77. 77. Wang W, Bradley A, Huang Y (2009) A piggyBac transposon-based genome-wide library of insertionally mutated Blm-deficient murine ES cells. Genome Res 19: 667–673.
  78. 78. Bender AM, Collier LS, Rodriguez FJ, Tieu C, Larson JD, et al. Sleeping beauty-mediated somatic mutagenesis implicates CSF1 in the formation of high-grade astrocytomas. Cancer Res 70: 3557–3565.
  79. 79. Collier LS, Adams DJ, Hackett CS, Bendzick LE, Akagi K, et al. (2009) Whole-body sleeping beauty mutagenesis can cause penetrant leukemia/lymphoma and rare high-grade glioma without associated embryonic lethality. Cancer Res 69: 8429–8437.
  80. 80. Collier LS, Carlson CM, Ravimohan S, Dupuy AJ, Largaespada DA (2005) Cancer gene discovery in solid tumours using transposon-based somatic mutagenesis in the mouse. Nature 436: 272–276.
  81. 81. Dupuy AJ, Akagi K, Largaespada DA, Copeland NG, Jenkins NA (2005) Mammalian mutagenesis using a highly mobile somatic Sleeping Beauty transposon system. Nature 436: 221–226.
  82. 82. Dupuy AJ, Rogers LM, Kim J, Nannapaneni K, Starr TK, et al. (2009) A modified sleeping beauty transposon system that can be used to model a wide variety of human cancers in mice. Cancer Res 69: 8150–8156.
  83. 83. Rad R, Rad L, Wang W, Cadinanos J, Vassiliou G, et al. PiggyBac Transposon Mutagenesis: A Tool for Cancer Gene Discovery in Mice. Science.
  84. 84. Keng VW, Villanueva A, Chiang DY, Dupuy AJ, Ryan BJ, et al. (2009) A conditional transposon-based insertional mutagenesis screen for genes associated with mouse hepatocellular carcinoma. Nat Biotechnol 27: 264–274.
  85. 85. Starr TK, Allaei R, Silverstein KA, Staggs RA, Sarver AL, et al. (2009) A transposon-based genetic screen in mice identifies genes altered in colorectal cancer. Science 323: 1747–1750.
  86. 86. Vassiliou GS, Cooper JL, Rad R, Li J, Rice S, et al. Mutant nucleophosmin and cooperating pathways drive leukemia initiation and progression in mice. Nat Genet.
  87. 87. Liang Q, Kong J, Stalker J, Bradley A (2009) Chromosomal mobilization and reintegration of Sleeping Beauty and PiggyBac transposons. Genesis 47: 404–408.
  88. 88. Huang X, Guo H, Tammana S, Jung YC, Mellgren E, et al. Gene Transfer Efficiency and Genome-Wide Integration Profiling of Sleeping Beauty, Tol2, and PiggyBac Transposons in Human Primary T Cells. Mol Ther.
  89. 89. Elick TA, Bauser CA, Fraser MJ (1996) Excision of the piggyBac transposable element in vitro is a precise event that is enhanced by the expression of its encoded transposase. Genetica 98: 33–41.
  90. 90. Liu G, Aronovich EL, Cui Z, Whitley CB, Hackett PB (2004) Excision of Sleeping Beauty transposons: parameters and applications to gene therapy. J Gene Med 6: 574–583.
  91. 91. Keng VW, Yae K, Hayakawa T, Mizuno S, Uno Y, et al. (2005) Region-specific saturation germline mutagenesis in mice using the Sleeping Beauty transposon system. Nat Methods 2: 763–769.
  92. 92. Geurts AM, Collier LS, Geurts JL, Oseth LL, Bell ML, et al. (2006) Gene mutations and genomic rearrangements in the mouse as a result of transposon mobilization from chromosomal concatemers. PLoS Genet 2: e156.
  93. 93. Lee T, Luo L (2001) Mosaic analysis with a repressible cell marker (MARCM) for Drosophila neural development. Trends Neurosci 24: 251–254.
  94. 94. Pagliarini RA, Xu T (2003) A genetic screen in Drosophila for metastatic behavior. Science 302: 1227–1231.
  95. 95. Xu T, Rubin GM (1993) Analysis of genetic mosaics in developing and adult Drosophila tissues. Development 117: 1223–1237.
  96. 96. White RM, Sessa A, Burke C, Bowman T, LeBlanc J, et al. (2008) Transparent adult zebrafish as a tool for in vivo transplantation analysis. Cell Stem Cell 2: 183–189.
  97. 97. Zong H, Espinosa JS, Su HH, Muzumdar MD, Luo L (2005) Mosaic analysis with double markers in mice. Cell 121: 479–492.