Evidence map›Paper›PMID 27295952›Full record

ArticleBMC research notes2016

Thermodynamically optimal whole-genome tiling microarray design and validation.

Hyejin Cho, Hui-Hsien Chou

Abstract read
In one paragraph

Article in BMC research notes, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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3 · Its place in the literature

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5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Respiratory Tularemia:The open microbiology journal · 2016
    Article
4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Hyejin ChoDepartment of Genetics, Development and Cell Biology, Iowa State University, Ames, IA, 50011, USA.
Hui-Hsien ChouDepartment of Genetics, Development and Cell Biology, Iowa State University, Ames, IA, 50011, USA. hhchou@iastate.edu.ORCID http://orcid.org/0000-0002-2029-8743

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMicroarray is an efficient apparatus to interrogate the whole transcriptome of species. Microarray can be designed according to annotated gene sets, but the resulted microarrays cannot be used to identify novel transcripts and this design method is not applicable to unannotated species. Alternatively, a whole-genome tiling microarray can be designed using only genomic sequences without gene annotations, and it can be used to detect novel RNA transcripts as well as known genes. The difficulty with tiling microarray design lies in the tradeoff between probe-specificity and coverage of the genome. Sequence comparison methods based on BLAST or similar software are commonly employed in microarray design, but they cannot precisely determine the subtle thermodynamic competition between probe targets and partially matched probe nontargets during hybridizations.

findingsUsing the whole-genome thermodynamic analysis software PICKY to design tiling microarrays, we can achieve maximum whole-genome coverage allowable under the thermodynamic constraints of each target genome. The resulted tiling microarrays are thermodynamically optimal in the sense that all selected probes share the same melting temperature separation range between their targets and closest nontargets, and no additional probes can be added without violating the specificity of the microarray to the target genome.

conclusionsThis new design method was used to create two whole-genome tiling microarrays for Escherichia coli MG1655 and Agrobacterium tumefaciens C58 and the experiment results validated the design.

Indexed as

ThermodynamicsAgrobacterium tumefaciensEscherichia coliGene Expression ProfilingGene Expression Regulation, BacterialGenes, BacterialGenomeGenome, BacterialGenomicsHydrogen-Ion ConcentrationOligonucleotide Array Sequence AnalysisReproducibility of ResultsRNA, BacterialSpecies SpecificityTemperatureRNA, BacterialHybridizationMicroarray validationPICKY softwareProkaryote transcriptomeThermodynamicsTiling microarray design

Identifiers

PMID27295952
PMCPMC4906886

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.