Literature DB >> 12527790

Specificity assessment from fractionation experiments (SAFE): a novel method to evaluate microarray probe specificity based on hybridisation stringencies.

Alexei L Drobyshev1, Christine Machka, Marion Horsch, Matthias Seltmann, Volkmar Liebscher, Martin Hrabé de Angelis, Johannes Beckers.   

Abstract

The cDNA-chip technology is a highly versatile tool for the comprehensive analysis of gene expression at the transcript level. Although it has been applied successfully in expression profiling projects, there is an ongoing dispute concerning the quality of such expression data. The latter critically depends on the specificity of hybridisation. SAFE (specificity assessment from fractionation experiments) is a novel method to discriminate between non- specific cross-hybridisation and specific signals. We applied in situ fractionation of hybridised target on DNA-chips by means of repeated washes with increasing stringencies. Different fractions of hybridised target are washed off at defined stringencies and the collected fluorescence intensity data at each step comprise the fractionation curve. Based on characteristic features of the fractionation curve, unreliable data can be filtered and eliminated from subsequent analyses. The approach described here provides a novel experimental tool to identify probes that produce specific hybridisation signals in DNA-chip expression profiling approaches. The iterative use of the SAFE procedure will result in increasingly reliable sets of probes for microarray experiments and significantly improve the overall efficiency and reliability of RNA expression profiling data from DNA-chip experiments.

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Year:  2003        PMID: 12527790      PMCID: PMC140526          DOI: 10.1093/nar/gng001

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  33 in total

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Journal:  Science       Date:  2001-02-16       Impact factor: 47.728

2.  Functional discovery via a compendium of expression profiles.

Authors:  T R Hughes; M J Marton; A R Jones; C J Roberts; R Stoughton; C D Armour; H A Bennett; E Coffey; H Dai; Y D He; M J Kidd; A M King; M R Meyer; D Slade; P Y Lum; S B Stepaniants; D D Shoemaker; D Gachotte; K Chakraburtty; J Simon; M Bard; S H Friend
Journal:  Cell       Date:  2000-07-07       Impact factor: 41.582

3.  Importance of replication in microarray gene expression studies: statistical methods and evidence from repetitive cDNA hybridizations.

Authors:  M L Lee; F C Kuo; G A Whitmore; J Sklar
Journal:  Proc Natl Acad Sci U S A       Date:  2000-08-29       Impact factor: 11.205

4.  Genome-wide, large-scale production of mutant mice by ENU mutagenesis.

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Journal:  Nat Genet       Date:  2000-08       Impact factor: 38.330

5.  Microarray analysis of Drosophila development during metamorphosis.

Authors:  K P White; S A Rifkin; P Hurban; D S Hogness
Journal:  Science       Date:  1999-12-10       Impact factor: 47.728

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Authors:  R Sandberg; R Yasuda; D G Pankratz; T A Carter; J A Del Rio; L Wodicka; M Mayford; D J Lockhart; C Barlow
Journal:  Proc Natl Acad Sci U S A       Date:  2000-09-26       Impact factor: 11.205

9.  Relevant genomics of neurotensin receptor in cancer.

Authors:  J Elek; W Pinzon; K H Park; R Narayanan
Journal:  Anticancer Res       Date:  2000 Jan-Feb       Impact factor: 2.480

10.  Model-based analysis of oligonucleotide arrays: expression index computation and outlier detection.

Authors:  C Li; W H Wong
Journal:  Proc Natl Acad Sci U S A       Date:  2001-01-02       Impact factor: 11.205

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  10 in total

1.  Assessment of a systematic expression profiling approach in ENU-induced mouse mutant lines.

Authors:  Matthias Seltmann; Marion Horsch; Alexei Drobyshev; Yali Chen; Martin Hrabé de Angelis; Johannes Beckers
Journal:  Mamm Genome       Date:  2005-01       Impact factor: 2.957

2.  Identification of coexpressed gene clusters in a comparative analysis of transcriptome and proteome in mouse tissues.

Authors:  T Mijalski; A Harder; T Halder; M Kersten; M Horsch; T M Strom; H V Liebscher; F Lottspeich; M Hrabe de Angelis; J Beckers
Journal:  Proc Natl Acad Sci U S A       Date:  2005-06-06       Impact factor: 11.205

3.  Optimization of oligonucleotide microarray fabricated by spotting 65-mer.

Authors:  Myoyong Lee; Jeffrey M Trent; Michael L Bittner
Journal:  Anal Biochem       Date:  2007-06-08       Impact factor: 3.365

4.  Iterative Potts and Blake-Zisserman minimization for the recovery of functions with discontinuities from indirect measurements.

Authors:  Andreas Weinmann; Martin Storath
Journal:  Proc Math Phys Eng Sci       Date:  2015-04-08       Impact factor: 2.704

5.  Gene targeting and Calcium handling efficiencies in mouse embryonic stem cell lines.

Authors:  Solomon Mamo; Julianna Kobolak; Istvan Borbíró; Tamás Bíró; Istvan Bock; Andras Dinnyes
Journal:  World J Stem Cells       Date:  2010-12-26       Impact factor: 5.326

6.  Dissociation analysis in polymerase chain reaction and 1X SSC buffer as a prerequisite for selection of 13mer microarray probe sets with uniform hybridization behavior.

Authors:  Monika Pfunder; Juerg E Frey
Journal:  Mol Biotechnol       Date:  2005-01       Impact factor: 2.695

7.  In silico identification and comparative analysis of differentially expressed genes in human and mouse tissues.

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8.  Microfludic device for creating ionic strength gradients over DNA microarrays for efficient DNA melting studies and assay development.

Authors:  Jesper Petersen; Lena Poulsen; Henrik Birgens; Martin Dufva
Journal:  PLoS One       Date:  2009-03-11       Impact factor: 3.240

9.  Experimental optimization of probe length to increase the sequence specificity of high-density oligonucleotide microarrays.

Authors:  Shingo Suzuki; Naoaki Ono; Chikara Furusawa; Akiko Kashiwagi; Tetsuya Yomo
Journal:  BMC Genomics       Date:  2007-10-16       Impact factor: 3.969

10.  Use of a multi-thermal washer for DNA microarrays simplifies probe design and gives robust genotyping assays.

Authors:  Jesper Petersen; Lena Poulsen; Sarunas Petronis; Henrik Birgens; Martin Dufva
Journal:  Nucleic Acids Res       Date:  2007-12-06       Impact factor: 16.971

  10 in total

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