Literature DB >> 23407503

Identification of Sleeping Beauty transposon insertions in solid tumors using linker-mediated PCR.

Callie L Janik1, Timothy K Starr.   

Abstract

Genomic, proteomic, transcriptomic, and epigenomic analyses of human tumors indicate that there are thousands of anomalies within each cancer genome compared to matched normal tissue. Based on these analyses it is evident that there are many undiscovered genetic drivers of cancer(1). Unfortunately these drivers are hidden within a much larger number of passenger anomalies in the genome that do not directly contribute to tumor formation. Another aspect of the cancer genome is that there is considerable genetic heterogeneity within similar tumor types. Each tumor can harbor different mutations that provide a selective advantage for tumor formation(2). Performing an unbiased forward genetic screen in mice provides the tools to generate tumors and analyze their genetic composition, while reducing the background of passenger mutations. The Sleeping Beauty (SB) transposon system is one such method(3). The SB system utilizes mobile vectors (transposons) that can be inserted throughout the genome by the transposase enzyme. Mutations are limited to a specific cell type through the use of a conditional transposase allele that is activated by Cre Recombinase. Many mouse lines exist that express Cre Recombinase in specific tissues. By crossing one of these lines to the conditional transposase allele (e.g. Lox-stop-Lox-SB11), the SB system is activated only in cells that express Cre Recombinase. The Cre Recombinase will excise a stop cassette that blocks expression of the transposase allele, thereby activating transposon mutagenesis within the designated cell type. An SB screen is initiated by breeding three strains of transgenic mice so that the experimental mice carry a conditional transposase allele, a concatamer of transposons, and a tissue-specific Cre Recombinase allele. These mice are allowed to age until tumors form and they become moribund. The mice are then necropsied and genomic DNA is isolated from the tumors. Next, the genomic DNA is subjected to linker-mediated-PCR (LM-PCR) that results in amplification of genomic loci containing an SB transposon. LM-PCR performed on a single tumor will result in hundreds of distinct amplicons representing the hundreds of genomic loci containing transposon insertions in a single tumor(4). The transposon insertions in all tumors are analyzed and common insertion sites (CISs) are identified using an appropriate statistical method(5). Genes within the CIS are highly likely to be oncogenes or tumor suppressor genes, and are considered candidate cancer genes. The advantages of using the SB system to identify candidate cancer genes are: 1) the transposon can easily be located in the genome because its sequence is known, 2) transposition can be directed to almost any cell type and 3) the transposon is capable of introducing both gain- and loss-of-function mutations(6). The following protocol describes how to devise and execute a forward genetic screen using the SB transposon system to identify candidate cancer genes (Figure 1).

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Year:  2013        PMID: 23407503      PMCID: PMC3596955          DOI: 10.3791/50156

Source DB:  PubMed          Journal:  J Vis Exp        ISSN: 1940-087X            Impact factor:   1.355


  11 in total

1.  In vivo footprinting of a muscle specific enhancer by ligation mediated PCR.

Authors:  P R Mueller; B Wold
Journal:  Science       Date:  1989-11-10       Impact factor: 47.728

2.  Cancer gene discovery using the Sleeping Beauty transposon.

Authors:  Timothy K Starr; David A Largaespada
Journal:  Cell Cycle       Date:  2005-12-05       Impact factor: 4.534

Review 3.  A genetic model for colorectal tumorigenesis.

Authors:  E R Fearon; B Vogelstein
Journal:  Cell       Date:  1990-06-01       Impact factor: 41.582

4.  Molecular reconstruction of Sleeping Beauty, a Tc1-like transposon from fish, and its transposition in human cells.

Authors:  Z Ivics; P B Hackett; R H Plasterk; Z Izsvák
Journal:  Cell       Date:  1997-11-14       Impact factor: 41.582

5.  Mammalian mutagenesis using a highly mobile somatic Sleeping Beauty transposon system.

Authors:  Adam J Dupuy; Keiko Akagi; David A Largaespada; Neal G Copeland; Nancy A Jenkins
Journal:  Nature       Date:  2005-07-14       Impact factor: 49.962

6.  Cancer gene discovery in solid tumours using transposon-based somatic mutagenesis in the mouse.

Authors:  Lara S Collier; Corey M Carlson; Shruthi Ravimohan; Adam J Dupuy; David A Largaespada
Journal:  Nature       Date:  2005-07-14       Impact factor: 49.962

Review 7.  Harnessing transposons for cancer gene discovery.

Authors:  Neal G Copeland; Nancy A Jenkins
Journal:  Nat Rev Cancer       Date:  2010-09-16       Impact factor: 60.716

8.  A conditional transposon-based insertional mutagenesis screen for genes associated with mouse hepatocellular carcinoma.

Authors:  Vincent W Keng; Augusto Villanueva; Derek Y Chiang; Adam J Dupuy; Barbara J Ryan; Ilze Matise; Kevin A T Silverstein; Aaron Sarver; Timothy K Starr; Keiko Akagi; Lino Tessarollo; Lara S Collier; Scott Powers; Scott W Lowe; Nancy A Jenkins; Neal G Copeland; Josep M Llovet; David A Largaespada
Journal:  Nat Biotechnol       Date:  2009-02-22       Impact factor: 54.908

9.  The genomic landscapes of human breast and colorectal cancers.

Authors:  Laura D Wood; D Williams Parsons; Siân Jones; Jimmy Lin; Tobias Sjöblom; Rebecca J Leary; Dong Shen; Simina M Boca; Thomas Barber; Janine Ptak; Natalie Silliman; Steve Szabo; Zoltan Dezso; Vadim Ustyanksky; Tatiana Nikolskaya; Yuri Nikolsky; Rachel Karchin; Paul A Wilson; Joshua S Kaminker; Zemin Zhang; Randal Croshaw; Joseph Willis; Dawn Dawson; Michail Shipitsin; James K V Willson; Saraswati Sukumar; Kornelia Polyak; Ben Ho Park; Charit L Pethiyagoda; P V Krishna Pant; Dennis G Ballinger; Andrew B Sparks; James Hartigan; Douglas R Smith; Erick Suh; Nickolas Papadopoulos; Phillip Buckhaults; Sanford D Markowitz; Giovanni Parmigiani; Kenneth W Kinzler; Victor E Velculescu; Bert Vogelstein
Journal:  Science       Date:  2007-10-11       Impact factor: 47.728

10.  New methods for finding common insertion sites and co-occurring common insertion sites in transposon- and virus-based genetic screens.

Authors:  Tracy L Bergemann; Timothy K Starr; Haoyu Yu; Michael Steinbach; Jesse Erdmann; Yun Chen; Robert T Cormier; David A Largaespada; Kevin A T Silverstein
Journal:  Nucleic Acids Res       Date:  2012-01-12       Impact factor: 16.971

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  2 in total

Review 1.  Sleeping Beauty transposon insertional mutagenesis based mouse models for cancer gene discovery.

Authors:  Branden S Moriarity; David A Largaespada
Journal:  Curr Opin Genet Dev       Date:  2015-06-04       Impact factor: 5.578

2.  Sleeping Beauty Insertional Mutagenesis in Mice Identifies Drivers of Steatosis-Associated Hepatic Tumors.

Authors:  Barbara R Tschida; Nuri A Temiz; Timothy P Kuka; Lindsey A Lee; Jesse D Riordan; Carlos A Tierrablanca; Robert Hullsiek; Sandra Wagner; Wendy A Hudson; Michael A Linden; Khalid Amin; Pauline J Beckmann; Rachel A Heuer; Aaron L Sarver; Ju Dong Yang; Lewis R Roberts; Joseph H Nadeau; Adam J Dupuy; Vincent W Keng; David A Largaespada
Journal:  Cancer Res       Date:  2017-10-09       Impact factor: 12.701

  2 in total

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