Evidence map›Paper›PMID 18302796›Full record

ArticleBMC plant biology2008

Development of a novel data mining tool to find cis-elements in rice gene promoter regions.

Koji Doi, Aeni Hosaka, Toshifumi Nagata, Kouji Satoh, Kohji Suzuki, Ramil Mauleon, Michael J Mendoza, Richard Bruskiewich, Shoshi Kikuchi

Abstract read
In one paragraph

Article in BMC plant biology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

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17citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

  1. Article
  2. Transcript profiling of glutathione metabolizing genes reveals abiotic stress and glutathione-specific alteration inPhysiology and molecular biology of plants : an international journal of functional plant biology · 2022
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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Koji DoiNational Institute of Agrobiological Sciences, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8602, Japan. kdoi@affrc.go.jp
Aeni Hosaka
Toshifumi Nagata
Kouji Satoh
Kohji Suzuki
Ramil Mauleon
Michael J Mendoza
Richard Bruskiewich
Shoshi Kikuchi

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInformation on more than 35 000 full-length Oryza sativa cDNAs, together with associated microarray gene expression data collected under various treatment conditions, has made it feasible to identify motifs that are conserved in gene promoters and may act as cis-regulatory elements with key roles under the various conditions.

resultsWe have developed a novel tool that searches for cis-element candidates in the upstream, downstream, or coding regions of differentially regulated genes. The tool first lists cis-element candidates by motif searching based on the supposition that if there are cis-elements playing important roles in the regulation of a given set of genes, they will be statistically overrepresented and will be conserved. Then it evaluates the likelihood scores of the listed candidate motifs by association rule analysis. This strategy depends on the idea that motifs overrepresented in the promoter region could play specific roles in the regulation of expression of these genes. The tool is designed so that any biological researchers can use it easily at the publicly accessible Internet site http://hpc.irri.cgiar.org/tool/nias/ces. We evaluated the accuracy and utility of the tool by using a dataset of auxin-inducible genes that have well-studied cis-elements. The test showed the effectiveness of the tool in identifying significant relationships between cis-element candidates and related sets of genes.

conclusionThe tool lists possible cis-element motifs corresponding to genes of interest, and it will contribute to the deeper understanding of gene regulatory mechanisms in plants.

Indexed as

Base SequenceComputational BiologyDatabases, FactualDNA, PlantGene LibraryOligonucleotide Array Sequence AnalysisOryzaPromoter Regions, GeneticRegulatory Elements, TranscriptionalSequence Analysis, DNASequence Homology, Nucleic AcidDNA, Plant

Identifiers

PMID18302796
PMCPMC2270273

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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.