Literature DB >> 15858140

Amplification of whole tumor genomes and gene-by-gene mapping of genomic aberrations from limited sources of fresh-frozen and paraffin-embedded DNA.

Markus Bredel1, Claudia Bredel, Dejan Juric, Young Kim, Hannes Vogel, Griffith R Harsh, Lawrence D Recht, Jonathan R Pollack, Branimir I Sikic.   

Abstract

Sufficient quantity of genomic DNA can be a bottleneck in genome-wide analysis of clinical tissue samples. DNA polymerase Phi29 can be used for the random-primed amplification of whole genomes, although the amplification may introduce bias in gene dosage. We have performed a detailed investigation of this technique in archival fresh-frozen and formalin-fixed/paraffin-embedded tumor DNA by using cDNA microarray-based comparative genomic hybridization. Phi29 amplified DNA from matched pairs of fresh-frozen and formalin-fixed/paraffin-embedded tumor samples with similar efficiency. The distortion in gene dosage representation in the amplified DNA was nonrandom and reproducibly involved distinct genomic loci. Regional amplification efficiency was significantly linked to regional GC content of the template genome. The biased gene representation in amplified tumor DNA could be effectively normalized by using amplified reference DNA. Our data suggest that genome-wide gene dosage alterations in clinical tumor samples can be reliably assessed from a few hundred tumor cells. Therefore, this amplification method should lend itself to high-throughput genetic analyses of limited sources of tumor, such as fine-needle biopsies, laser-microdissected tissue, and small paraffin-embedded specimens.

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Year:  2005        PMID: 15858140      PMCID: PMC1867518          DOI: 10.1016/S1525-1578(10)60543-0

Source DB:  PubMed          Journal:  J Mol Diagn        ISSN: 1525-1578            Impact factor:   5.568


  32 in total

1.  EMBOSS: the European Molecular Biology Open Software Suite.

Authors:  P Rice; I Longden; A Bleasby
Journal:  Trends Genet       Date:  2000-06       Impact factor: 11.639

2.  Initial sequencing and analysis of the human genome.

Authors:  E S Lander; L M Linton; B Birren; C Nusbaum; M C Zody; J Baldwin; K Devon; K Dewar; M Doyle; W FitzHugh; R Funke; D Gage; K Harris; A Heaford; J Howland; L Kann; J Lehoczky; R LeVine; P McEwan; K McKernan; J Meldrim; J P Mesirov; C Miranda; W Morris; J Naylor; C Raymond; M Rosetti; R Santos; A Sheridan; C Sougnez; Y Stange-Thomann; N Stojanovic; A Subramanian; D Wyman; J Rogers; J Sulston; R Ainscough; S Beck; D Bentley; J Burton; C Clee; N Carter; A Coulson; R Deadman; P Deloukas; A Dunham; I Dunham; R Durbin; L French; D Grafham; S Gregory; T Hubbard; S Humphray; A Hunt; M Jones; C Lloyd; A McMurray; L Matthews; S Mercer; S Milne; J C Mullikin; A Mungall; R Plumb; M Ross; R Shownkeen; S Sims; R H Waterston; R K Wilson; L W Hillier; J D McPherson; M A Marra; E R Mardis; L A Fulton; A T Chinwalla; K H Pepin; W R Gish; S L Chissoe; M C Wendl; K D Delehaunty; T L Miner; A Delehaunty; J B Kramer; L L Cook; R S Fulton; D L Johnson; P J Minx; S W Clifton; T Hawkins; E Branscomb; P Predki; P Richardson; S Wenning; T Slezak; N Doggett; J F Cheng; A Olsen; S Lucas; C Elkin; E Uberbacher; M Frazier; R A Gibbs; D M Muzny; S E Scherer; J B Bouck; E J Sodergren; K C Worley; C M Rives; J H Gorrell; M L Metzker; S L Naylor; R S Kucherlapati; D L Nelson; G M Weinstock; Y Sakaki; A Fujiyama; M Hattori; T Yada; A Toyoda; T Itoh; C Kawagoe; H Watanabe; Y Totoki; T Taylor; J Weissenbach; R Heilig; W Saurin; F Artiguenave; P Brottier; T Bruls; E Pelletier; C Robert; P Wincker; D R Smith; L Doucette-Stamm; M Rubenfield; K Weinstock; H M Lee; J Dubois; A Rosenthal; M Platzer; G Nyakatura; S Taudien; A Rump; H Yang; J Yu; J Wang; G Huang; J Gu; L Hood; L Rowen; A Madan; S Qin; R W Davis; N A Federspiel; A P Abola; M J Proctor; R M Myers; J Schmutz; M Dickson; J Grimwood; D R Cox; M V Olson; R Kaul; C Raymond; N Shimizu; K Kawasaki; S Minoshima; G A Evans; M Athanasiou; R Schultz; B A Roe; F Chen; H Pan; J Ramser; H Lehrach; R Reinhardt; W R McCombie; M de la Bastide; N Dedhia; H Blöcker; K Hornischer; G Nordsiek; R Agarwala; L Aravind; J A Bailey; A Bateman; S Batzoglou; E Birney; P Bork; D G Brown; C B Burge; L Cerutti; H C Chen; D Church; M Clamp; R R Copley; T Doerks; S R Eddy; E E Eichler; T S Furey; J Galagan; J G Gilbert; C Harmon; Y Hayashizaki; D Haussler; H Hermjakob; K Hokamp; W Jang; L S Johnson; T A Jones; S Kasif; A Kaspryzk; S Kennedy; W J Kent; P Kitts; E V Koonin; I Korf; D Kulp; D Lancet; T M Lowe; A McLysaght; T Mikkelsen; J V Moran; N Mulder; V J Pollara; C P Ponting; G Schuler; J Schultz; G Slater; A F Smit; E Stupka; J Szustakowki; D Thierry-Mieg; J Thierry-Mieg; L Wagner; J Wallis; R Wheeler; A Williams; Y I Wolf; K H Wolfe; S P Yang; R F Yeh; F Collins; M S Guyer; J Peterson; A Felsenfeld; K A Wetterstrand; A Patrinos; M J Morgan; P de Jong; J J Catanese; K Osoegawa; H Shizuya; S Choi; Y J Chen; J Szustakowki
Journal:  Nature       Date:  2001-02-15       Impact factor: 49.962

3.  Comprehensive human genome amplification using multiple displacement amplification.

Authors:  Frank B Dean; Seiyu Hosono; Linhua Fang; Xiaohong Wu; A Fawad Faruqi; Patricia Bray-Ward; Zhenyu Sun; Qiuling Zong; Yuefen Du; Jing Du; Mark Driscoll; Wanmin Song; Stephen F Kingsmore; Michael Egholm; Roger S Lasken
Journal:  Proc Natl Acad Sci U S A       Date:  2002-04-16       Impact factor: 11.205

4.  Rapid amplification of plasmid and phage DNA using Phi 29 DNA polymerase and multiply-primed rolling circle amplification.

Authors:  F B Dean; J R Nelson; T L Giesler; R S Lasken
Journal:  Genome Res       Date:  2001-06       Impact factor: 9.043

5.  Whole genome analysis of genetic alterations in small DNA samples using hyperbranched strand displacement amplification and array-CGH.

Authors:  José M Lage; John H Leamon; Tanja Pejovic; Stefan Hamann; Michelle Lacey; Deborah Dillon; Richard Segraves; Bettina Vossbrinck; Antonio González; Daniel Pinkel; Donna G Albertson; Jose Costa; Paul M Lizardi
Journal:  Genome Res       Date:  2003-02       Impact factor: 9.043

6.  Two methods of whole-genome amplification enable accurate genotyping across a 2320-SNP linkage panel.

Authors:  David L Barker; Mark S T Hansen; A Fawad Faruqi; Diane Giannola; Orlando R Irsula; Roger S Lasken; Martin Latterich; Vladimir Makarov; Arnold Oliphant; Jonathon H Pinter; Richard Shen; Irina Sleptsova; William Ziehler; Eric Lai
Journal:  Genome Res       Date:  2004-05       Impact factor: 9.043

7.  Minimizing deletion mutagenesis artifact during Taq DNA polymerase PCR by E. coli SSB.

Authors:  Q Chou
Journal:  Nucleic Acids Res       Date:  1992-08-25       Impact factor: 16.971

8.  Degenerate oligonucleotide-primed PCR: general amplification of target DNA by a single degenerate primer.

Authors:  H Telenius; N P Carter; C E Bebb; M Nordenskjöld; B A Ponder; A Tunnacliffe
Journal:  Genomics       Date:  1992-07       Impact factor: 5.736

9.  A compact view of isochores in the draft human genome sequence.

Authors:  Adam Pavlícek; Jan Paces; Oliver Clay; Giorgio Bernardi
Journal:  FEBS Lett       Date:  2002-01-30       Impact factor: 4.124

10.  Unbiased whole-genome amplification directly from clinical samples.

Authors:  Seiyu Hosono; A Fawad Faruqi; Frank B Dean; Yuefen Du; Zhenyu Sun; Xiaohong Wu; Jing Du; Stephen F Kingsmore; Michael Egholm; Roger S Lasken
Journal:  Genome Res       Date:  2003-04-14       Impact factor: 9.043

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  16 in total

1.  Evaluation of affinity-based genome-wide DNA methylation data: effects of CpG density, amplification bias, and copy number variation.

Authors:  Mark D Robinson; Clare Stirzaker; Aaron L Statham; Marcel W Coolen; Jenny Z Song; Shalima S Nair; Dario Strbenac; Terence P Speed; Susan J Clark
Journal:  Genome Res       Date:  2010-11-02       Impact factor: 9.043

Review 2.  Molecular information obtained from radiobiological tissue archives: achievements of the past and visions of the future.

Authors:  Soile Tapio; Michael J Atkinson
Journal:  Radiat Environ Biophys       Date:  2007-12-21       Impact factor: 1.925

3.  A procedure for highly specific, sensitive, and unbiased whole-genome amplification.

Authors:  Xinghua Pan; Alexander Eckehart Urban; Dean Palejev; Vincent Schulz; Fabian Grubert; Yiping Hu; Michael Snyder; Sherman M Weissman
Journal:  Proc Natl Acad Sci U S A       Date:  2008-10-01       Impact factor: 11.205

4.  Biome representational in silico karyotyping.

Authors:  Valliammai Muthappan; Aaron Y Lee; Tamara L Lamprecht; Lakshmi Akileswaran; Suzanne M Dintzis; Choli Lee; Vincent Magrini; Elaine R Mardis; Jay Shendure; Russell N Van Gelder
Journal:  Genome Res       Date:  2011-02-10       Impact factor: 9.043

Review 5.  Pragmatic issues in biomarker evaluation for targeted therapies in cancer.

Authors:  Armand de Gramont; Sarah Watson; Lee M Ellis; Jordi Rodón; Josep Tabernero; Aimery de Gramont; Stanley R Hamilton
Journal:  Nat Rev Clin Oncol       Date:  2014-11-25       Impact factor: 66.675

6.  Whole-genome molecular haplotyping of single cells.

Authors:  H Christina Fan; Jianbin Wang; Anastasia Potanina; Stephen R Quake
Journal:  Nat Biotechnol       Date:  2010-12-19       Impact factor: 54.908

7.  Whole genome amplification for array comparative genomic hybridization using DNA extracted from formalin-fixed, paraffin-embedded histological sections.

Authors:  Jian Huang; Jesse Pang; Takuya Watanabe; Ho-Keung Ng; Hiroko Ohgaki
Journal:  J Mol Diagn       Date:  2009-02-05       Impact factor: 5.568

8.  Application of array CGH on archival formalin-fixed paraffin-embedded tissues including small numbers of microdissected cells.

Authors:  Nicola A Johnson; Rifat A Hamoudi; Koichi Ichimura; Lu Liu; Danita M Pearson; V Peter Collins; Ming-Qing Du
Journal:  Lab Invest       Date:  2006-06-05       Impact factor: 5.662

9.  Molecular characterization of the region 7q22.1 in splenic marginal zone lymphomas.

Authors:  Cristina Robledo; Juan L García; Rocío Benito; Teresa Flores; Manuela Mollejo; José Ángel Martínez-Climent; Eva García; Norma C Gutiérrez; Miguel A Piris; Jesús M Hernández
Journal:  PLoS One       Date:  2011-09-21       Impact factor: 3.240

10.  A single cell level based method for copy number variation analysis by low coverage massively parallel sequencing.

Authors:  Chunlei Zhang; Chunsheng Zhang; Shengpei Chen; Xuyang Yin; Xiaoyu Pan; Ge Lin; Yueqiu Tan; Ke Tan; Zhengfeng Xu; Ping Hu; Xuchao Li; Fang Chen; Xun Xu; Yingrui Li; Xiuqing Zhang; Hui Jiang; Wei Wang
Journal:  PLoS One       Date:  2013-01-23       Impact factor: 3.240

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