Literature DB >> 23182917

Performance comparison of Affymetrix SNP6.0 and cytogenetic 2.7M whole-genome microarrays in complex cancer samples.

J S Bødker1, C Gyrup, P Johansen, A Schmitz, J Madsen, H E Johnsen, M Bøgsted, K Dybkær, M Nyegaard.   

Abstract

The Affymetrix cytogenetic 2.7M whole-genome microarray (Cyto2.7M) detects genomic aberrations. The Cyto2.7M array has increased coverage in regions with cancer-related genes, ~4-fold reduced processing time, and 5-fold reduced input requirements (100 ng) compared to the commonly used Affymetrix SNP6.0 genome-wide microarray (SNP6.0). We set out to compare the performance of these microarrays on cancer samples containing complex genomic changes. We analyzed genomic DNA from 8 lymphoma samples and 1 blood sample using both SNP6.0 and Cyto2.7M microarrays. We compared the arrays with respect to 4 parameters, including detection of copy number variations (CNV), CNV boundaries, the actual copy number (CN) assigned to the aberrations, and loss of heterozygosity. The CN state of selected regions was validated by quantitative PCR. Very high consistency between arrays on all parameters tested was observed, hence only 30 of 224 aberrations disagreed on the CN state, corresponding to a total of ~12 Mb or 0.06% of the analyzed base pairs. Thus, the SNP6.0 and Cyto2.7M arrays are equally well suited to detect genomic aberrations in complex samples such as cancer samples. With reduced processing time and lower input requirements, the Cyto2.7M array enables genomic analysis of samples where only limited DNA is available.
Copyright © 2012 S. Karger AG, Basel.

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Year:  2012        PMID: 23182917     DOI: 10.1159/000345125

Source DB:  PubMed          Journal:  Cytogenet Genome Res        ISSN: 1424-8581            Impact factor:   1.636


  5 in total

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Authors:  Meng Li; Ying-Ling Chiang; Costas A Lyssiotis; Matthew R Teater; Jun Young Hong; Hao Shen; Ling Wang; Jing Hu; Hui Jing; Zhengming Chen; Neeraj Jain; Cihangir Duy; Sucharita J Mistry; Leandro Cerchietti; Justin R Cross; Lewis C Cantley; Michael R Green; Hening Lin; Ari M Melnick
Journal:  Cancer Cell       Date:  2019-06-10       Impact factor: 31.743

2.  Genome-wide inbreeding estimation within Lebanese communities using SNP arrays.

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Journal:  Eur J Hum Genet       Date:  2014-11-26       Impact factor: 4.246

3.  Targetable genetic alterations of TCF4 (E2-2) drive immunoglobulin expression in diffuse large B cell lymphoma.

Authors:  Neeraj Jain; Keenan Hartert; Saber Tadros; Warren Fiskus; Ondrej Havranek; Man Chun John Ma; Alyssa Bouska; Tayla Heavican; Dhiraj Kumar; Qing Deng; Dalia Moore; Christine Pak; Chih Long Liu; Andrew J Gentles; Elena Hartmann; Robert Kridel; Karin Ekstrom Smedby; Gunnar Juliusson; Richard Rosenquist; Randy D Gascoyne; Andreas Rosenwald; Filippo Giancotti; Sattva S Neelapu; Jason Westin; Julie M Vose; Matthew A Lunning; Timothy Greiner; Scott Rodig; Javeed Iqbal; Ash A Alizadeh; R Eric Davis; Kapil Bhalla; Michael R Green
Journal:  Sci Transl Med       Date:  2019-06-19       Impact factor: 17.956

4.  Molecular classification of tissue from a transformed non-Hogkin's lymphoma case with unexpected long-time remission.

Authors:  Julie Støve Bødker; Marianne Tang Severinsen; Tarec Christoffer El-Galaly; Rasmus Froberg Brøndum; Maria Bach Laursen; Steffen Falgreen; Mette Nyegaard; Alexander Schmitz; Lasse Hjort Jakobsen; Anna Amanda Schönherz; Hanne Due; Linn Reinholdt; Martin Bøgsted; Karen Dybkær; Hans Erik Johnsen
Journal:  Exp Hematol Oncol       Date:  2017-01-11

5.  Early Breast Cancer Evolution by Autosomal Broad Copy Number Alterations.

Authors:  Joseph R Larsen; Peter Kuhn; James B Hicks
Journal:  Int J Genomics       Date:  2022-02-25       Impact factor: 2.326

  5 in total

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