Literature DB >> 17968032

A comparison of DNA copy number profiling platforms.

Joel Greshock1, Bin Feng, Cristina Nogueira, Elena Ivanova, Ilana Perna, Katherine Nathanson, Alexei Protopopov, Barbara L Weber, Lynda Chin.   

Abstract

The accurate mapping of recurring DNA copy number aberrations (CNAs), a hallmark feature of the cancer genome, has facilitated the discovery of tumor suppressor genes and oncogenes. Microarray-based assays designed to detect these chromosomal copy number alterations on a genome-wide and high-resolution scale have emerged as a cornerstone technology in the genomic era. The diversity of commercially available platforms prompted a systematic comparison of five copy number profiling assays for their ability to detect 2-fold copy number gain and loss (4n or 1n, respectively) as well as focal high-amplitude CNAs. Here, using a collection of established human melanoma cell lines, we defined the reproducibility, absolute signals, signal to noise, and false-positive and false-negative rates for each of the five assays against ground truth defined by spectral karyotyping, in addition to comparing the concordance of CNA detection by two high-resolution Agilent and Affymetrix microarray platforms. Our analyses concluded that the Agilent's 60-mer oligonucleotide microarray with probe design optimized for genomic hybridization offers the highest sensitivity and specificity (area under receiver operator characteristic curve >0.99), whereas Affymetrix's single nucleotide polymorphism microarray seems to offer better detection of CNAs in gene-poor regions. Availability of these comparison results should guide study design decisions and facilitate further computational development.

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Year:  2007        PMID: 17968032     DOI: 10.1158/0008-5472.CAN-07-2102

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  34 in total

1.  Copy number variant analysis of human embryonic stem cells.

Authors:  Hao Wu; Kevin J Kim; Kshama Mehta; Salvatore Paxia; Andrew Sundstrom; Thomas Anantharaman; Ali I Kuraishy; Tri Doan; Jayati Ghosh; April D Pyle; Amander Clark; William Lowry; Guoping Fan; Tim Baxter; Bud Mishra; Yi Sun; Michael A Teitell
Journal:  Stem Cells       Date:  2008-03-27       Impact factor: 6.277

Review 2.  Statistical issues in the analysis of DNA Copy Number Variations.

Authors:  Nathan E Wineinger; Richard E Kennedy; Stephen W Erickson; Mary K Wojczynski; Carl E Bruder; Hemant K Tiwari
Journal:  Int J Comput Biol Drug Des       Date:  2008

3.  Phosphoglycerate dehydrogenase diverts glycolytic flux and contributes to oncogenesis.

Authors:  Jason W Locasale; Alexandra R Grassian; Tamar Melman; Costas A Lyssiotis; Katherine R Mattaini; Adam J Bass; Gregory Heffron; Christian M Metallo; Taru Muranen; Hadar Sharfi; Atsuo T Sasaki; Dimitrios Anastasiou; Edouard Mullarky; Natalie I Vokes; Mika Sasaki; Rameen Beroukhim; Gregory Stephanopoulos; Azra H Ligon; Matthew Meyerson; Andrea L Richardson; Lynda Chin; Gerhard Wagner; John M Asara; Joan S Brugge; Lewis C Cantley; Matthew G Vander Heiden
Journal:  Nat Genet       Date:  2011-07-31       Impact factor: 38.330

Review 4.  Current analysis platforms and methods for detecting copy number variation.

Authors:  Wenli Li; Michael Olivier
Journal:  Physiol Genomics       Date:  2012-11-06       Impact factor: 3.107

Review 5.  Translating insights from the cancer genome into clinical practice.

Authors:  Lynda Chin; Joe W Gray
Journal:  Nature       Date:  2008-04-03       Impact factor: 49.962

6.  Optimizing copy number variation analysis using genome-wide short sequence oligonucleotide arrays.

Authors:  Derek A Oldridge; Samprit Banerjee; Sunita R Setlur; Andrea Sboner; Francesca Demichelis
Journal:  Nucleic Acids Res       Date:  2010-02-15       Impact factor: 16.971

7.  The pitfalls of platform comparison: DNA copy number array technologies assessed.

Authors:  Christina Curtis; Andy G Lynch; Mark J Dunning; Inmaculada Spiteri; John C Marioni; James Hadfield; Suet-Feung Chin; James D Brenton; Simon Tavaré; Carlos Caldas
Journal:  BMC Genomics       Date:  2009-12-08       Impact factor: 3.969

8.  Detection, analysis and clinical validation of chromosomal aberrations by multiplex ligation-dependent probe amplification in chronic leukemia.

Authors:  Adam Abdool; Amber C Donahue; Jay G Wohlgemuth; Chen-Hsiung Yeh
Journal:  PLoS One       Date:  2010-10-25       Impact factor: 3.240

9.  The promyelocytic leukemia zinc-finger gene, PLZF, is frequently downregulated in malignant mesothelioma cells and contributes to cell survival.

Authors:  M Cheung; J Pei; Y Pei; S C Jhanwar; H I Pass; J R Testa
Journal:  Oncogene       Date:  2009-12-14       Impact factor: 9.867

10.  CGHnormaliter: an iterative strategy to enhance normalization of array CGH data with imbalanced aberrations.

Authors:  Bart P P van Houte; Thomas W Binsl; Hannes Hettling; Walter Pirovano; Jaap Heringa
Journal:  BMC Genomics       Date:  2009-08-26       Impact factor: 3.969

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