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

Nucleic Acids Res. 31, 2-10 (2003)
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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 nonspecific 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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Publication type Article: Journal article
Document type Scientific Article
Keywords GENE-EXPRESSION PROFILE; MASSIVE PARALLEL ANALYSIS; OLIGONUCLEOTIDE ARRAYS; OLIGODEOXYRIBONUCLEOTIDE MICROCHIPS; BINDING-SPECIFICITY; DNA; HYBRIDIZATION; STABILITY; GENOME; PREDICTION
Language english
Publication Year 2003
HGF-reported in Year 0
ISSN (print) / ISBN 0305-1048
e-ISSN 1362-4962
Quellenangaben Volume: 31, Issue: 2, Pages: 2-10 Article Number: , Supplement: ,
Publisher Oxford University Press
Reviewing status Peer reviewed
POF-Topic(s) 30201 - Metabolic Health
Research field(s) Genetics and Epidemiology
PSP Element(s) G-500600-003
G-500600-004
FE 73823
PubMed ID 12527790
Erfassungsdatum 2003-07-30