Evidence map›Paper›PMID 29047256›Full record

ArticleMolecules and cells2017

Analysis of Genes with Alternatively Spliced Transcripts in the Leaf, Root, Panicle and Seed of Rice Using a Long Oligomer Microarray and RNA-Seq.

Songhwa Chae, Joung Sug Kim, Kyong Mi Jun, Sang-Bok Lee, Myung Soon Kim, Baek Hie Nahm, Yeon-Ki Kim

Abstract read
In one paragraph

Article in Molecules and cells, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

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

10 citing papers in PubMed.

  1. Article
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  3. TheInternational journal of molecular sciences · 2021
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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.

Songhwa ChaeDivision of Bioscience and Bioinformatics, Myongji University, Yongin 17058, Korea.
Joung Sug KimDivision of Bioscience and Bioinformatics, Myongji University, Yongin 17058, Korea.
Kyong Mi JunGreenGene Biotech Inc., 116, Yongin 17058, Korea.
Sang-Bok LeeCentral Area Crop Breeding Research Division, National Institute of Crop Science, Chuncheon 24219, Korea.
Myung Soon KimGenomictree Inc., 44-6, Daejeon 34027, Korea.
Baek Hie NahmDivision of Bioscience and Bioinformatics, Myongji University, Yongin 17058, Korea.
Yeon-Ki KimDivision of Bioscience and Bioinformatics, Myongji University, Yongin 17058, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pre-mRNA splicing further increases protein diversity acquired through evolution. The underlying driving forces for this phenomenon are unknown, especially in terms of gene expression. A rice alternatively spliced transcript detection microarray (ASDM) and RNA sequencing (RNA-Seq) were applied to differentiate the transcriptome of 4 representative organs of

Indexed as

Alternative SplicingExonsGene Expression Regulation, PlantGenome, PlantIntronsMicroarray AnalysisOryzaPlant LeavesPlant RootsRNA SplicingSeedsTranscriptomealternatively spliced transcript detection microarraycoefficient valuericeRNA sequencingtranscriptome

Identifiers

PMID29047256
PMCPMC5682249

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.