Compressive Sensing DNA Microarrays
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Published version
Author(s)
Dai, W
Sheikh, MA
Milenkovic, O
Baraniuk, RG
Type
Journal Article
Abstract
Compressive sensing microarrays (CSMs) are DNA-based sensors that operate using group testing and compressive sensing (CS)
principles. In contrast to conventional DNA microarrays, in which each genetic sensor is designed to respond to a single target,
in a CSM, each sensor responds to a set of targets. We study the problem of designing CSMs that simultaneously account for
both the constraints from CS theory and the biochemistry of probe-target DNA hybridization. An appropriate cross-hybridization
model is proposed for CSMs, and several methods are developed for probe design and CS signal recovery based on the new model.
Lab experiments suggest that in order to achieve accurate hybridization profiling, consensus probe sequences are required to have
sequence homology of at least 80% with all targets to be detected. Furthermore, out-of-equilibrium datasets are usually as accurate
as those obtained from equilibrium conditions. Consequently, one can use CSMs in applications in which only short hybridization
times are allowed.
principles. In contrast to conventional DNA microarrays, in which each genetic sensor is designed to respond to a single target,
in a CSM, each sensor responds to a set of targets. We study the problem of designing CSMs that simultaneously account for
both the constraints from CS theory and the biochemistry of probe-target DNA hybridization. An appropriate cross-hybridization
model is proposed for CSMs, and several methods are developed for probe design and CS signal recovery based on the new model.
Lab experiments suggest that in order to achieve accurate hybridization profiling, consensus probe sequences are required to have
sequence homology of at least 80% with all targets to be detected. Furthermore, out-of-equilibrium datasets are usually as accurate
as those obtained from equilibrium conditions. Consequently, one can use CSMs in applications in which only short hybridization
times are allowed.
Date Issued
2009
Date Acceptance
2008-10-23
Citation
Eurasip Journal on Bioinformatics and Systems Biology, 2009, 2009
ISSN
1687-4153
Publisher
Hindawi Publishing Corporation
Journal / Book Title
Eurasip Journal on Bioinformatics and Systems Biology
Volume
2009
Copyright Statement
Copyright © 2009 Wei Dai et al. This is an open access article distributed under the Creative Commons Attribution License, which
permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
License URL
Publication Status
Published
Article Number
162824