Evidence map›Paper›PMID 24398116›Full record

ArticleBMC research notes2014

Development of a microarray for two rice subspecies: characterization and validation of gene expression in rice tissues.

Jia-Shing Chen, Shang-Chi Lin, Chia-Ying Chen, Yen-Ting Hsieh, Ping-Hui Pai, Long-Kung Chen, Shengwan Lee

Open access · goldAbstract readComparative StudyValidation Study
In one paragraph

Article in BMC research notes, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 29% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
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  4. Article
  5. Genes controlling root development in rice.Rice (New York, N.Y.) · 2014
    Article
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

7 authors at 1 institution in 1 country.

Jia-Shing Chen
Shang-Chi Lin
Chia-Ying Chen
Yen-Ting Hsieh
Ping-Hui Pai
Long-Kung Chen
Shengwan LeePhalanx Biotech Group, 6F, No,6, Technology Road 5, Hsinchu Science Park, Hsinchu 30078, Taiwan, Republic of China. swlee@phalanxbiotech.com.
Powertech Technology (Taiwan) · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRice is one of the major crop species in the world helping to sustain approximately half of the global population's diet especially in Asia. However, due to the impact of extreme climate change and global warming, rice crop production and yields may be adversely affected resulting in a world food crisis. Researchers have been keen to understand the effects of drought, temperature and other environmental stress factors on rice plant growth and development. Gene expression microarray technology represents a key strategy for the identification of genes and their associated expression patterns in response to stress. Here, we report on the development of the rice OneArray® microarray platform which is suitable for two major rice subspecies, japonica and indica.

resultsThe rice OneArray® 60-mer, oligonucleotide microarray consists of a total of 21,179 probes covering 20,806 genes of japonica and 13,683 genes of indica. Through a validation study, total RNA isolated from rice shoots and roots were used for comparison of gene expression profiles via microarray examination. The results were submitted to NCBI's Gene Expression Omnibus (GEO). Data can be found under the GEO accession number GSE50844 (http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE50844). A list of significantly differentially expressed genes was generated; 438 shoot-specific genes were identified among 3,138 up-regulated genes, and 463 root-specific genes were found among 3,845 down-regulated genes. GO enrichment analysis demonstrates these results are in agreement with the known physiological processes of the different organs/tissues. Furthermore, qRT-PCR validation was performed on 66 genes, and found to significantly correlate with the microarray results (R = 0.95, p < 0.001***).

conclusionThe rice OneArray® 22 K microarray, the first rice microarray, covering both japonica and indica subspecies was designed and validated in a comprehensive study of gene expression in rice tissues. The rice OneArray® microarray platform revealed high specificity and sensitivity. Additional information for the rice OneArray® microarray can be found at http://www.phalanx.com.tw/index.php.

Indexed as

Gene Expression ProfilingGene Expression Regulation, PlantGenes, PlantOligonucleotide Array Sequence AnalysisBase SequenceMolecular Sequence DataOrgan SpecificityOryzaOxidative StressPlant ProteinsPlant RootsPlant ShootsQuality ControlReproducibility of ResultsRNA, PlantSpecies SpecificityPlant ProteinsRNA, Plant

Identifiers

PMID24398116
PMCPMC3891988
OpenAlexW2114461118

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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.