Simultaneous Quantification of Multiple Nucleic Acid Targets In Complex rRNA Mixtures Using High Density Microarrays and Nonspecific Hybridization As a Source of Information
Document Type
Article
Publication Date
9-1-2008
Department
Marine Science
Abstract
To date, it has been problematic to accurately quantify multiple nucleic acid sequences, representing microbial targets, in multi-target mixtures using oligonucleotide microarrays, primarily due to nonspecific target binding (i.e., cross-hybridization). While some studies ignore the effects of nonspecific binding, other studies have developed approaches to minimize nonspecific binding, such as physical modeling to design highly specific probes, subtracting nonspecific signal using mismatch probes, and/or removing nonspecific duplexes by scanning through a range of wash stringencies. We have developed an alternative approach that, in contrast to previous approaches, uses nonspecific target binding as a source of information. Specifically, the new approach uses hybridization patterns (fingerprints) to quantify specific nucleic acid targets in complex target mixtures. We evaluated the approach by mixing together in vitro transcribed 28S rRNA targets at varying concentrations (up to 1.0 nM), and hybridizing the 24 mixtures to microarrays (n = 3160 probes, in duplicate). Three independent Latin-square-designed experiments revealed accurate quantification of the targets. The regression between actual concentration of targets and those determined by the approach were highly positively correlated with high R-2 values (e.g., R-2 =0.90, n=6 targets; R-2 =0.84, n=8 targets; R-2 =0.82, n=10 targets). (C) 2008 Elsevier B.V. All rights reserved.
Publication Title
Journal of Microbiological Methods
Volume
75
Issue
1
First Page
92
Last Page
102
Recommended Citation
Pozhitkov, A. E.,
Nies, G.,
Kleinheinz, B.,
Tautz, D.,
Noble, P. A.
(2008). Simultaneous Quantification of Multiple Nucleic Acid Targets In Complex rRNA Mixtures Using High Density Microarrays and Nonspecific Hybridization As a Source of Information. Journal of Microbiological Methods, 75(1), 92-102.
Available at: https://aquila.usm.edu/fac_pubs/1388