Literature DB >> 12538237

A study of accuracy and precision in oligonucleotide arrays: extracting more signal at large concentrations.

Felix Naef1, Nicholas D Socci, Marcelo Magnasco.   

Abstract

MOTIVATION: Despite the success and popularity of oligonucleotide arrays as a high-throughput technique for measuring mRNA expression levels, quantitative calibration studies have until now been limited. The main reason is that suitable data was not available. However, calibration data recently produced by Affymetrix now permits detailed studies of the intensity dependent sensitivity. Given a certain transcript concentration, it is of particular interest to know whether current analysis methods are capable of detecting differential expression ratios of 2 or higher.
RESULTS: Using the calibration data, we demonstrate that while current techniques are capable of detecting changes in the low to mid concentration range, the situation is noticeably worse for high concentrations. In this regime, expression changes as large as 4 fold are severely biased, and changes of 2 are often undetectable. Such effects are mainly the consequence of the sequence specific binding properties of probes, and not the result of optical saturation in the fluorescence measurements. GeneChips are manufactured such that each transcript is probed by a set of sequences with a wide affinity range. We show that this property can be used to design a method capable of reducing the high intensity bias. The idea behind our methods is to transfer the weight of a measurement to a subset of probes with optimal linear response at a given concentration, which can be achieved using local embedding techniques. AVAILABILITY: Program source code will be sent electronically upon request.

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Year:  2003        PMID: 12538237     DOI: 10.1093/bioinformatics/19.2.178

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  20 in total

1.  Absolute mRNA concentrations from sequence-specific calibration of oligonucleotide arrays.

Authors:  Doeke Hekstra; Alexander R Taussig; Marcelo Magnasco; Felix Naef
Journal:  Nucleic Acids Res       Date:  2003-04-01       Impact factor: 16.971

2.  A mixture model approach to detecting differentially expressed genes with microarray data.

Authors:  Wei Pan; Jizhen Lin; Chap T Le
Journal:  Funct Integr Genomics       Date:  2003-07-01       Impact factor: 3.410

3.  The SILAC fly allows for accurate protein quantification in vivo.

Authors:  Matthias D Sury; Jia-Xuan Chen; Matthias Selbach
Journal:  Mol Cell Proteomics       Date:  2010-06-05       Impact factor: 5.911

4.  Global assessment of cross-hybridization for oligonucleotide arrays.

Authors:  Cavan Reilly; Arvind Raghavan; Paul Bohjanen
Journal:  J Biomol Tech       Date:  2006-04

5.  Using RNA sample titrations to assess microarray platform performance and normalization techniques.

Authors:  Richard Shippy; Stephanie Fulmer-Smentek; Roderick V Jensen; Wendell D Jones; Paul K Wolber; Charles D Johnson; P Scott Pine; Cecilie Boysen; Xu Guo; Eugene Chudin; Yongming Andrew Sun; James C Willey; Jean Thierry-Mieg; Danielle Thierry-Mieg; Robert A Setterquist; Mike Wilson; Anne Bergstrom Lucas; Natalia Novoradovskaya; Adam Papallo; Yaron Turpaz; Shawn C Baker; Janet A Warrington; Leming Shi; Damir Herman
Journal:  Nat Biotechnol       Date:  2006-09       Impact factor: 54.908

6.  Software note: using probe secondary structure information to enhance Affymetrix GeneChip background estimates.

Authors:  Raad Z Gharaibeh; Anthony A Fodor; Cynthia J Gibas
Journal:  Comput Biol Chem       Date:  2007-02-20       Impact factor: 2.877

7.  Relative quantification: characterization of bias, variability and fold changes in mass spectrometry data from iTRAQ-labeled peptides.

Authors:  Douglas W Mahoney; Terry M Therneau; Carrie J Heppelmann; Leeann Higgins; Linda M Benson; Roman M Zenka; Pratik Jagtap; Gary L Nelsestuen; H Robert Bergen; Ann L Oberg
Journal:  J Proteome Res       Date:  2011-08-02       Impact factor: 4.466

8.  Large-scale profiling of archival lymph nodes reveals pervasive remodeling of the follicular lymphoma methylome.

Authors:  J Keith Killian; Sven Bilke; Sean Davis; Robert L Walker; M Scott Killian; Erich B Jaeger; Yidong Chen; Jason Hipp; Stefania Pittaluga; Mark Raffeld; Robert Cornelison; William I Smith; Marina Bibikova; Jian-Bing Fan; Michael R Emmert-Buck; Elaine S Jaffe; Paul S Meltzer
Journal:  Cancer Res       Date:  2009-01-20       Impact factor: 12.701

9.  Interlaboratory performance of a microarray-based gene expression test to determine tissue of origin in poorly differentiated and undifferentiated cancers.

Authors:  Catherine I Dumur; Maureen Lyons-Weiler; Christin Sciulli; Carleton T Garrett; Iris Schrijver; Tara K Holley; Juan Rodriguez-Paris; Jonathan R Pollack; James L Zehnder; Melissa Price; Jill M Hagenkord; C Ted Rigl; Ljubomir J Buturovic; Glenda G Anderson; Federico A Monzon
Journal:  J Mol Diagn       Date:  2007-12-13       Impact factor: 5.568

10.  Evaluation of a new high-dimensional miRNA profiling platform.

Authors:  Julie M Cunningham; Ann L Oberg; Pedro M Borralho; Betsy T Kren; Amy J French; Liang Wang; Brian M Bot; Bruce W Morlan; Kevin A T Silverstein; Rod Staggs; Yan Zeng; Anne-Francoise Lamblin; Christopher A Hilker; Jian-Bing Fan; Clifford J Steer; Stephen N Thibodeau
Journal:  BMC Med Genomics       Date:  2009-08-27       Impact factor: 3.063

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