ArticleGenome research2002
Gene expression analysis with universal n-mer arrays.
Article in Genome research, 2002. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Sequence-based 5-mers highly correlated to epigenetic modifications in genes interactions.Genes & genomics · 2018Article
- Article
- Fluorescent probes for live-cell RNA detection.Annual review of biomedical engineering · 2009Review
- Article
- Toward a universal microarray: prediction of gene expression through nearest-neighbor probe sequence identification.Nucleic acids research · 2007Article
- Capturing genomic signatures of DNA sequence variation using a standard anonymous microarray platform.Nucleic acids research · 2006Article
- Unshackling expression profiling arrays.Nature biotechnology · 2004Article
- Expression profiling using a hexamer-based universal microarray.Nature biotechnology · 2004Article
- Improving the sensitivity and specificity of gene expression analysis in highly related organisms through the use of electronic masks.Nucleic acids research · 2004Article
- Rational design of DNA sequences for nanotechnology, microarrays and molecular computers using Eulerian graphs.Nucleic acids research · 2004Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Gene expression profiling is one of the many applications that have benefited from the massively parallel nucleic acid detection capability of DNA microarrays. Current expression arrays, however, are expensive and inflexible. They are custom-designed for each organism and they do not offer the possibility of incorporating updated genomic information without production of a new chip. One possible solution is the development of a universal chip, consisting of all 4n possible DNA sequences of length n. Studying different organisms or new genes would simply require modifications to the hybridization pattern analysis software. The key problem is to find a value of n that is large enough to afford sufficient specificity, yet is small enough for practical fabrication and readout. We developed an analytical model, supported by computer-assisted calculation with yeast and mouse transcript data, to argue that it is both practical and useful to fabricate n-mer arrays with 10 < or = n < or = 16.
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Registered trials
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