Literature DB >> 21852388

High-throughput semiquantitative analysis of insertional mutations in heterogeneous tumors.

Marco J Koudijs1, Christiaan Klijn, Louise van der Weyden, Jaap Kool, Jelle ten Hoeve, Daoud Sie, Pramudita R Prasetyanti, Eva Schut, Sjors Kas, Theodore Whipp, Edwin Cuppen, Lodewyk Wessels, David J Adams, Jos Jonkers.   

Abstract

Retroviral and transposon-based insertional mutagenesis (IM) screens are widely used for cancer gene discovery in mice. Exploiting the full potential of IM screens requires methods for high-throughput sequencing and mapping of transposon and retroviral insertion sites. Current protocols are based on ligation-mediated PCR amplification of junction fragments from restriction endonuclease-digested genomic DNA, resulting in amplification biases due to uneven genomic distribution of restriction enzyme recognition sites. Consequently, sequence coverage cannot be used to assess the clonality of individual insertions. We have developed a novel method, called shear-splink, for the semiquantitative high-throughput analysis of insertional mutations. Shear-splink employs random fragmentation of genomic DNA, which reduces unwanted amplification biases. Additionally, shear-splink enables us to assess clonality of individual insertions by determining the number of unique ligation points (LPs) between the adapter and genomic DNA. This parameter serves as a semiquantitative measure of the relative clonality of individual insertions within heterogeneous tumors. Mixing experiments with clonal cell lines derived from mouse mammary tumor virus (MMTV)-induced tumors showed that shear-splink enables the semiquantitative assessment of the clonality of MMTV insertions. Further, shear-splink analysis of 16 MMTV- and 127 Sleeping Beauty (SB)-induced tumors showed enrichment for cancer-relevant insertions by exclusion of irrelevant background insertions marked by single LPs, thereby facilitating the discovery of candidate cancer genes. To fully exploit the use of the shear-splink method, we set up the Insertional Mutagenesis Database (iMDB), offering a publicly available web-based application to analyze both retroviral- and transposon-based insertional mutagenesis data.

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Year:  2011        PMID: 21852388      PMCID: PMC3227106          DOI: 10.1101/gr.112763.110

Source DB:  PubMed          Journal:  Genome Res        ISSN: 1088-9051            Impact factor:   9.043


  26 in total

1.  A large-scale insertional mutagenesis screen in zebrafish.

Authors:  A Amsterdam; S Burgess; G Golling; W Chen; Z Sun; K Townsend; S Farrington; M Haldi; N Hopkins
Journal:  Genes Dev       Date:  1999-10-15       Impact factor: 11.361

2.  Tagged mutagenesis by efficient Minos-based germ line transposition.

Authors:  Ton de Wit; Sylvia Dekker; Alex Maas; Guido Breedveld; Tobias A Knoch; An Langeveld; Dorota Szumska; Roger Craig; Shoumo Bhattacharya; Frank Grosveld; Dubravka Drabek
Journal:  Mol Cell Biol       Date:  2010-01       Impact factor: 4.272

3.  Efficient transposition of the piggyBac (PB) transposon in mammalian cells and mice.

Authors:  Sheng Ding; Xiaohui Wu; Gang Li; Min Han; Yuan Zhuang; Tian Xu
Journal:  Cell       Date:  2005-08-12       Impact factor: 41.582

4.  Region-specific saturation germline mutagenesis in mice using the Sleeping Beauty transposon system.

Authors:  Vincent W Keng; Kojiro Yae; Tomoko Hayakawa; Sumi Mizuno; Yoshihiro Uno; Kosuke Yusa; Chikara Kokubu; Taroh Kinoshita; Keiko Akagi; Nancy A Jenkins; Neal G Copeland; Kyoji Horie; Junji Takeda
Journal:  Nat Methods       Date:  2005-10       Impact factor: 28.547

5.  Large T antigens of simian virus 40 and polyomavirus efficiently establish primary fibroblasts.

Authors:  P S Jat; P A Sharp
Journal:  J Virol       Date:  1986-09       Impact factor: 5.103

6.  Inferring combinatorial association logic networks in multimodal genome-wide screens.

Authors:  Jeroen de Ridder; Alice Gerrits; Jan Bot; Gerald de Haan; Marcel Reinders; Lodewyk Wessels
Journal:  Bioinformatics       Date:  2010-06-15       Impact factor: 6.937

7.  Transgenes expressing the Wnt-1 and int-2 proto-oncogenes cooperate during mammary carcinogenesis in doubly transgenic mice.

Authors:  H Kwan; V Pecenka; A Tsukamoto; T G Parslow; R Guzman; T P Lin; W J Muller; F S Lee; P Leder; H E Varmus
Journal:  Mol Cell Biol       Date:  1992-01       Impact factor: 4.272

8.  A modified sleeping beauty transposon system that can be used to model a wide variety of human cancers in mice.

Authors:  Adam J Dupuy; Laura M Rogers; Jinsil Kim; Kishore Nannapaneni; Timothy K Starr; Pentao Liu; David A Largaespada; Todd E Scheetz; Nancy A Jenkins; Neal G Copeland
Journal:  Cancer Res       Date:  2009-10-06       Impact factor: 12.701

9.  Insertional mutagenesis in mice deficient for p15Ink4b, p16Ink4a, p21Cip1, and p27Kip1 reveals cancer gene interactions and correlations with tumor phenotypes.

Authors:  Jaap Kool; Anthony G Uren; Carla P Martins; Daoud Sie; Jeroen de Ridder; Geoffrey Turner; Miranda van Uitert; Konstantin Matentzoglu; Wendy Lagcher; Paul Krimpenfort; Jules Gadiot; Colin Pritchard; Jack Lenz; Anders H Lund; Jos Jonkers; Jane Rogers; David J Adams; Lodewyk Wessels; Anton Berns; Maarten van Lohuizen
Journal:  Cancer Res       Date:  2010-01-12       Impact factor: 12.701

10.  Response and resistance to MEK inhibition in leukaemias initiated by hyperactive Ras.

Authors:  Jennifer O Lauchle; Doris Kim; Doan T Le; Keiko Akagi; Michael Crone; Kimberly Krisman; Kegan Warner; Jeannette M Bonifas; Qing Li; Kristen M Coakley; Ernesto Diaz-Flores; Matthew Gorman; Sally Przybranowski; Mary Tran; Scott C Kogan; Jeroen P Roose; Neal G Copeland; Nancy A Jenkins; Luis Parada; Linda Wolff; Judith Sebolt-Leopold; Kevin Shannon
Journal:  Nature       Date:  2009-09-02       Impact factor: 49.962

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  29 in total

1.  Evaluating a ligation-mediated PCR and pyrosequencing method for the detection of clonal contribution in polyclonal retrovirally transduced samples.

Authors:  Martijn H Brugman; Julia D Suerth; Michael Rothe; Sebastian Suerbaum; Axel Schambach; Ute Modlich; Olga Kustikova; Christopher Baum
Journal:  Hum Gene Ther Methods       Date:  2013-03-14       Impact factor: 2.396

Review 2.  In vivo functional screening for systems-level integrative cancer genomics.

Authors:  Julia Weber; Christian J Braun; Dieter Saur; Roland Rad
Journal:  Nat Rev Cancer       Date:  2020-07-07       Impact factor: 60.716

Review 3.  From cancer genomes to oncogenic drivers, tumour dependencies and therapeutic targets.

Authors:  Cheryl Eifert; R Scott Powers
Journal:  Nat Rev Cancer       Date:  2012-08       Impact factor: 60.716

4.  Targeted sequencing by proximity ligation for comprehensive variant detection and local haplotyping.

Authors:  Paula J P de Vree; Elzo de Wit; Mehmet Yilmaz; Monique van de Heijning; Petra Klous; Marjon J A M Verstegen; Yi Wan; Hans Teunissen; Peter H L Krijger; Geert Geeven; Paul P Eijk; Daoud Sie; Bauke Ylstra; Lorette O M Hulsman; Marieke F van Dooren; Laura J C M van Zutven; Ans van den Ouweland; Sjef Verbeek; Ko Willems van Dijk; Marion Cornelissen; Atze T Das; Ben Berkhout; Birgit Sikkema-Raddatz; Eva van den Berg; Pieter van der Vlies; Desiree Weening; Johan T den Dunnen; Magdalena Matusiak; Mohamed Lamkanfi; Marjolijn J L Ligtenberg; Petra ter Brugge; Jos Jonkers; John A Foekens; John W Martens; Rob van der Luijt; Hans Kristian Ploos van Amstel; Max van Min; Erik Splinter; Wouter de Laat
Journal:  Nat Biotechnol       Date:  2014-08-17       Impact factor: 54.908

5.  Analyzing tumor heterogeneity and driver genes in single myeloid leukemia cells with SBCapSeq.

Authors:  Karen M Mann; Justin Y Newberg; Michael A Black; Devin J Jones; Felipe Amaya-Manzanares; Liliana Guzman-Rojas; Takahiro Kodama; Jerrold M Ward; Alistair G Rust; Louise van der Weyden; Christopher Chin Kuan Yew; Jill L Waters; Marco L Leung; Keith Rogers; Susan M Rogers; Leslie A McNoe; Luxmanan Selvanesan; Nicholas Navin; Nancy A Jenkins; Neal G Copeland; Michael B Mann
Journal:  Nat Biotechnol       Date:  2016-08-01       Impact factor: 54.908

6.  Quantitative shearing linear amplification polymerase chain reaction: an improved method for quantifying lentiviral vector insertion sites in transplanted hematopoietic cell systems.

Authors:  Sheng Zhou; Melissa A Bonner; Yong-Dong Wang; Samuel Rapp; Suk See De Ravin; Harry L Malech; Brian P Sorrentino
Journal:  Hum Gene Ther Methods       Date:  2015-02-05       Impact factor: 2.396

7.  Lessons Learned from Mouse Mammary Tumor Virus in Animal Models.

Authors:  Jaquelin P Dudley; Tatyana V Golovkina; Susan R Ross
Journal:  ILAR J       Date:  2016

Review 8.  Transposons As Tools for Functional Genomics in Vertebrate Models.

Authors:  Koichi Kawakami; David A Largaespada; Zoltán Ivics
Journal:  Trends Genet       Date:  2017-09-06       Impact factor: 11.639

9.  Genome-wide transposon screening and quantitative insertion site sequencing for cancer gene discovery in mice.

Authors:  Mathias J Friedrich; Lena Rad; Iraad F Bronner; Alexander Strong; Wei Wang; Julia Weber; Matthew Mayho; Hannes Ponstingl; Thomas Engleitner; Carolyn Grove; Anja Pfaus; Dieter Saur; Juan Cadiñanos; Michael A Quail; George S Vassiliou; Pentao Liu; Allan Bradley; Roland Rad
Journal:  Nat Protoc       Date:  2017-01-12       Impact factor: 13.491

10.  Identifying transposon insertions and their effects from RNA-sequencing data.

Authors:  Julian R de Ruiter; Sjors M Kas; Eva Schut; David J Adams; Marco J Koudijs; Lodewyk F A Wessels; Jos Jonkers
Journal:  Nucleic Acids Res       Date:  2017-07-07       Impact factor: 16.971

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