Dataset Information

Encrypted Oligonucleotide Arrays for Molecular Authentication.

ABSTRACT: Counterfeiting is an incredibly widespread problem, with some estimates placing its economic impact above 2% of worldwide GDP. The scale of the issue suggests that current preventive measures are either technologically insufficient or too impractical and costly to be widely adopted. High-density arrays of biomolecules are explored here as security devices that can be coupled to a valuable commodity as proof of its authenticity. Light-directed DNA array fabrication technology is used to synthesize arrays that are designed to resist analysis with sequencing-by-hybridization approaches. A relatively simple sequence design strategy forces a counterfeiter to undertake a prohibitively high number of complex experiments to decipher the array sequences employed.

SUBMITTER: Holden MT

PROVIDER: S-EPMC6701472 | biostudies-literature | 2019 Aug

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Encrypted Oligonucleotide Arrays for Molecular Authentication.

Holden Matthew T MT Smith Lloyd M LM

ACS combinatorial science 20190715 8

Counterfeiting is an incredibly widespread problem, with some estimates placing its economic impact above 2% of worldwide GDP. The scale of the issue suggests that current preventive measures are either technologically insufficient or too impractical and costly to be widely adopted. High-density arrays of biomolecules are explored here as security devices that can be coupled to a valuable commodity as proof of its authenticity. Light-directed DNA array fabrication technology is used to synthesiz ...[more]

PMID: 31276622

Similar Datasets

Project description:Array comparative genomic hybridization is a fast and cost-effective method for detecting, genotyping, and comparing the genomic sequence of unknown bacterial isolates. This method, as with all microarray applications, requires adequate coverage of probes targeting the regions of interest. An unbiased tiling of probes across the entire length of the genome is the most flexible design approach. However, such a whole-genome tiling requires that the genome sequence is known in advance. For the accurate analysis of uncharacterized bacteria, an array must query a fully representative set of sequences from the species' pan-genome. Prior microarrays have included only a single strain per array or the conserved sequences of gene families. These arrays omit potentially important genes and sequence variants from the pan-genome.This paper presents a new probe selection algorithm (PanArray) that can tile multiple whole genomes using a minimal number of probes. Unlike arrays built on clustered gene families, PanArray uses an unbiased, probe-centric approach that does not rely on annotations, gene clustering, or multi-alignments. Instead, probes are evenly tiled across all sequences of the pan-genome at a consistent level of coverage. To minimize the required number of probes, probes conserved across multiple strains in the pan-genome are selected first, and additional probes are used only where necessary to span polymorphic regions of the genome. The viability of the algorithm is demonstrated by array designs for seven different bacterial pan-genomes and, in particular, the design of a 385,000 probe array that fully tiles the genomes of 20 different Listeria monocytogenes strains with overlapping probes at greater than twofold coverage.PanArray is an oligonucleotide probe selection algorithm for tiling multiple genome sequences using a minimal number of probes. It is capable of fully tiling all genomes of a species on a single microarray chip. These unique pan-genome tiling arrays provide maximum flexibility for the analysis of both known and uncharacterized strains.

Project description:BackgroundOne of the important challenges in microarray analysis is to take full advantage of previously accumulated data, both from one's own laboratory and from public repositories. Through a comparative analysis on a variety of datasets, a more comprehensive view of the underlying mechanism or structure can be obtained. However, as we discover in this work, continual changes in genomic sequence annotations and probe design criteria make it difficult to compare gene expression data even from different generations of the same microarray platform.ResultsWe first describe the extent of discordance between the results derived from two generations of Affymetrix oligonucleotide arrays, as revealed in cluster analysis and in identification of differentially expressed genes. We then propose a method for increasing comparability. The dataset we use consists of a set of 14 human muscle biopsy samples from patients with inflammatory myopathies that were hybridized on both HG-U95Av2 and HG-U133A human arrays. We find that the use of the probe set matching table for comparative analysis provided by Affymetrix produces better results than matching by UniGene or LocusLink identifiers but still remains inadequate. Rescaling of expression values for each gene across samples and data filtering by expression values enhance comparability but only for few specific analyses. As a generic method for improving comparability, we select a subset of probes with overlapping sequence segments in the two array types and recalculate expression values based only on the selected probes. We show that this filtering of probes significantly improves the comparability while retaining a sufficient number of probe sets for further analysis.ConclusionsCompatibility between high-density oligonucleotide arrays is significantly affected by probe-level sequence information. With a careful filtering of the probes based on their sequence overlaps, data from different generations of microarrays can be combined more effectively.

Dataset Information

Encrypted Oligonucleotide Arrays for Molecular Authentication.

Publications

Encrypted Oligonucleotide Arrays for Molecular Authentication.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure