Evidence map›Paper›PMID 23180765›Full record

ArticleNucleic acids research2013

RiceXPro version 3.0: expanding the informatics resource for rice transcriptome.

Yutaka Sato, Hinako Takehisa, Kaori Kamatsuki, Hiroshi Minami, Nobukazu Namiki, Hiroshi Ikawa, Hajime Ohyanagi, Kazuhiko Sugimoto, Baltazar A Antonio, Yoshiaki Nagamura

Abstract read
In one paragraph

Article in Nucleic acids research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 218 papers.

0numbers the graph read from it
0cells of the map it votes in
218citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

218 citing papers in PubMed.

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  14. Functional Analysis of the Autophagy-Related GenePlants (Basel, Switzerland) · 2025
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  17. TheGenes · 2025
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  18. OUR1/OsbZIP1-Frontiers in plant science · 2025
    Article
  19. Article
  20. Article

158 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Yutaka SatoGenome Resource Unit, Agrogenomics Research Center, National Institute of Agrobiological Sciences, Kannondai 2-1-2, Tsukuba, Ibaraki 305-8602, Japan.
Hinako Takehisa
Kaori Kamatsuki
Hiroshi Minami
Nobukazu Namiki
Hiroshi Ikawa
Hajime Ohyanagi
Kazuhiko Sugimoto
Baltazar A Antonio
Yoshiaki Nagamura

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A wide range of resources on gene expression profiling enhance various strategies in plant molecular biology particularly in characterization of gene function. We have updated our gene expression profile database, RiceXPro (http://ricexpro.dna.affrc.go.jp/), to provide more comprehensive information on the transcriptome of rice encompassing the entire growth cycle and various experimental conditions. The gene expression profiles are currently grouped into three categories, namely, 'field/development' with 572 data corresponding to 12 data sets, 'plant hormone' with 143 data corresponding to 13 data sets and 'cell- and tissue-type' comprising of 38 microarray data. In addition to the interface for retrieving expression information of a gene/genes in each data set, we have incorporated an interface for a global approach in searching an overall view of the gene expression profiles from multiple data sets within each category. Furthermore, we have also added a BLAST search function that enables users to explore expression profile of a gene/genes with similarity to a query sequence. Therefore, the updated version of RiceXPro can be used more efficiently to survey the gene expression signature of rice in sufficient depth and may also provide clues on gene function of other cereal crops.

Indexed as

Databases, GeneticGene Expression ProfilingInternetOligonucleotide Array Sequence AnalysisOryzaPlant Growth RegulatorsPlant ProteinsSequence AlignmentUser-Computer InterfacePlant Growth RegulatorsPlant Proteins

Identifiers

PMID23180765
PMCPMC3531122

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LicenceCC BY-NC
Read underepoch 390

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None linked

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.