Literature DB >> 17373482

High correspondence between Affymetrix exon and standard expression arrays.

Michał J Okoniewski1, Yvonne Hey, Stuart D Pepper, Crispin J Miller.   

Abstract

Exon arrays aim to provide comprehensive gene expression data at the level of individual exons, similar to that provided on a per-gene basis by existing expression arrays. This report describes the performance of Affymetrix GeneChip Human Exon 1.0 ST array by using replicated RNA samples from two human cell lines, MCF7 and MCF10A, hybridized both to Exon 1.0 ST and to HG-U133 Plus2 arrays. Cross-comparison between array types requires an appropriate mapping to be found between individual probe sets. Three possible mappings were considered, reflecting different strategies for dealing with probe sets that target different parts of the same transcript. Irrespective of the mapping used, Exon 1.0 ST and HG-U133 Plus2 arrays show a high degree of correspondence. More than 80% of HG-U133 Plus2 probe sets may be mapped to the Exon chip, and fold changes are found well preserved for over 96% of those probe sets detected present. Since HG-U133 Plus2 arrays have already been extensively validated, these results lend a significant degree of confidence to exon arrays.

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Year:  2007        PMID: 17373482     DOI: 10.2144/000112315

Source DB:  PubMed          Journal:  Biotechniques        ISSN: 0736-6205            Impact factor:   1.993


  28 in total

Review 1.  Global analysis of mRNA splicing.

Authors:  Michael J Moore; Pamela A Silver
Journal:  RNA       Date:  2007-12-14       Impact factor: 4.942

2.  Exon-level expression profiling: a comprehensive transcriptome analysis of oral fluids.

Authors:  Zhanzhi Hu; Bernhard G Zimmermann; Hui Zhou; Jianghua Wang; Bradley S Henson; Weixia Yu; David Elashoff; Guido Krupp; David T Wong
Journal:  Clin Chem       Date:  2008-03-20       Impact factor: 8.327

3.  The comparison of different pre- and post-analysis filters for determination of exon-level alternative splicing events using Affymetrix arrays.

Authors:  Toni Whistler; Cheng-Feng Chiang; Jin-Mann Lin; William Lonergan; William C Reeves
Journal:  J Biomol Tech       Date:  2010-04

4.  A comparison of massively parallel nucleotide sequencing with oligonucleotide microarrays for global transcription profiling.

Authors:  James R Bradford; Yvonne Hey; Tim Yates; Yaoyong Li; Stuart D Pepper; Crispin J Miller
Journal:  BMC Genomics       Date:  2010-05-05       Impact factor: 3.969

5.  An integrated mass-spectrometry pipeline identifies novel protein coding-regions in the human genome.

Authors:  Danny A Bitton; Duncan L Smith; Yvonne Connolly; Paul J Scutt; Crispin J Miller
Journal:  PLoS One       Date:  2010-01-28       Impact factor: 3.240

6.  Expression map of the human exome in CD34+ cells and blood cells: increased alternative splicing in cell motility and immune response genes.

Authors:  Sylvie Tondeur; Céline Pangault; Tanguy Le Carrour; Yoann Lannay; Rima Benmahdi; Aurélie Cubizolle; Said Assou; Véronique Pantesco; Bernard Klein; Samir Hamamah; Jean-François Schved; Thierry Fest; John De Vos
Journal:  PLoS One       Date:  2010-02-01       Impact factor: 3.240

7.  Implementation of exon arrays: alternative splicing during T-cell proliferation as determined by whole genome analysis.

Authors:  Toni Whistler; Cheng-Feng Chiang; William Lonergan; Mark Hollier; Elizabeth R Unger
Journal:  BMC Genomics       Date:  2010-09-14       Impact factor: 3.969

8.  Dissecting an alternative splicing analysis workflow for GeneChip Exon 1.0 ST Affymetrix arrays.

Authors:  Cristina Della Beffa; Francesca Cordero; Raffaele A Calogero
Journal:  BMC Genomics       Date:  2008-11-28       Impact factor: 3.969

9.  Genome-wide analysis of immune activation in human T and B cells reveals distinct classes of alternatively spliced genes.

Authors:  Yevgeniy A Grigoryev; Sunil M Kurian; Aleksey A Nakorchevskiy; John P Burke; Daniel Campbell; Steve R Head; Jun Deng; Aaron B Kantor; John R Yates; Daniel R Salomon
Journal:  PLoS One       Date:  2009-11-19       Impact factor: 3.240

10.  A re-annotation pipeline for Illumina BeadArrays: improving the interpretation of gene expression data.

Authors:  Nuno L Barbosa-Morais; Mark J Dunning; Shamith A Samarajiwa; Jeremy F J Darot; Matthew E Ritchie; Andy G Lynch; Simon Tavaré
Journal:  Nucleic Acids Res       Date:  2009-11-18       Impact factor: 16.971

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