Evidence map›Paper›PMID 22734689›Full record

ArticleOmics : a journal of integrative biology

In silico analysis of expression data for identification of genes involved in spatial accumulation of calcium in developing seeds of rice.

Anshita Goel, Vikram S Gaur, Sandeep Arora, Sanjay Gupta, Anil Kumar

Abstract read
In one paragraph

Article in Omics : a journal of integrative biology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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

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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

8 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Review
  6. CaFrontiers in plant science · 2016
    Article
  7. Review
  8. Review
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

5 authors.

Anshita GoelDepartment of Molecular Biology and Genetic Engineering, College of Basic Sciences and Humanities, G.B. Pant University of Agriculture and Technology, Pantnagar, India.
Vikram S Gaur
Sandeep Arora
Sanjay Gupta
Anil Kumar

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The calcium (Ca(2+)) transporters, like Ca(2+) channels, Ca(2+) ATPases, and Ca(2+) exchangers, are instrumental for signaling and transport. However, the mechanism by which they orchestrate the accumulation of Ca(2+) in grain filling has not yet been investigated. Hence the present study was designed to identify the potential calcium transporter genes that may be responsible for the spatial accumulation of calcium during grain filling. In silico expression analyses were performed to identify Ca(2+) transporters that predominantly express during the different developmental stages of Oryza sativa. A total of 13 unique calcium transporters (7 from massively parallel signature sequencing [MPSS] data analysis, and 9 from microarray analysis) were identified. Analysis of variance (ANOVA) revealed differential expression of the transporters across tissues, and principal component analysis (PCA) exhibited their seed-specific distinctive expression profile. Interestingly, Ca(2+) exchanger genes are highly expressed in the initial stages, whereas some Ca(2+) ATPase genes are highly expressed throughout seed development. Furthermore, analysis of the cis-elements located in the promoter region of the subset of 13 genes suggested that D of proteins play essential roles in regulating the expression of Ca(2+) transporter genes during rice seed development. Based on these results, we developed a hypothetical model explaining the transport and tissue specific distribution of calcium in developing cereal seeds. The model may be extrapolated to understand the mechanism behind the exceptionally high level of calcium accumulation seen in grains like finger millet.

Indexed as

Gene ExpressionAnalysis of VarianceAntiportersBase SequenceCalciumCalcium ChannelsCalcium-Transporting ATPasesComputer SimulationGene Expression ProfilingGene Expression Regulation, PlantGerminationHigh-Throughput Nucleotide SequencingModels, GeneticOligonucleotide Array Sequence AnalysisOryzaPlant ProteinsAntiportersCalciumCalcium ChannelsCalcium-Transporting ATPasesPlant Proteins

Identifiers

PMID22734689
PMCPMC3394857

What OpenQuestion holds

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Registered trials

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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.