Identification and removal of contaminating fluorescence from commercial and in-house printed DNA microarrays
Author(s) -
M. Juanita Martinez,
Anthony D. Aragon,
Angelina L. Rodriguez,
Jose M Weber,
Jerilyn A. Timlin,
Michael B. Sinclair,
David M. Haaland,
Margaret WernerWashburne
Publication year - 2003
Publication title -
nucleic acids research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 9.008
H-Index - 537
eISSN - 1362-4954
pISSN - 0305-1048
DOI - 10.1093/nar/gng018
Subject(s) - fluorescence , biology , dna microarray , normalization (sociology) , fluorescence lifetime imaging microscopy , computational biology , microbiology and biotechnology , genetics , gene , optics , gene expression , physics , sociology , anthropology
Microarray analysis is a critically important technol- ogy for genome-enabled biology, therefore it is essential that the data obtained be reliable. Current software and normalization techniques for micro- array analysis rely on the assumption that fluores- cent background within spots is essentially the same throughout the glass slide and can be meas- ured by fluorescence surrounding the spots. This assumption is not valid if background fluorescence is spot-localized. Inaccurate estimates of back- ground fluorescence under the spot create a source of error, especially for low expressed genes. We have identified spot-localized, contaminating fluor- escence in the Cy3 channel on several commercial and in-house printed microarray slides. We deter- mined through mock hybridizations (without labeled target) that pre-hybridization scans could not be used to predict the contribution of this contaminat- ing fluorescence after hybridization because the change in spot-to-spot fluorescence after hybridiza- tion was too variable. Two solutions to this problem were identified. First, allowing 4 h of exposure to air prior to printing on to Corning UltraGAPS slides significantly reduced contaminating fluorescence intensities to approximately the value of the sur- rounding glass. Alternatively, application of a novel, hyperspectral imaging scanner and multivariate curve resolution algorithms, allowed the spectral contributions of Cy3 signal, glass, and contaminat- ing fluorescence to be distinguished and quantified after hybridization.
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