Evidence map›Paper›PMID 20627892›Full record

ArticleGenome research2010

Function annotation of the rice transcriptome at single-nucleotide resolution by RNA-seq.

Tingting Lu, Guojun Lu, Danlin Fan, Chuanrang Zhu, Wei Li, Qiang Zhao, Qi Feng, Yan Zhao, Yunli Guo, Wenjun Li and 2 more

Abstract read
In one paragraph

Article in Genome research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 185 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
185citing papers in PubMed, 1 pooled it
–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

185 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  17. Alternative Splicing ofInternational journal of molecular sciences · 2023
    Article
  18. Article
  19. Article
  20. Alternative Splicing and Its Roles in Plant Metabolism.International journal of molecular sciences · 2022
    Review

125 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

12 authors.

Tingting LuNational Center for Gene Research & Institute of Plant Physiology and Ecology, Shanghai Institutes of Biological Sciences, Chinese Academy of Sciences, Shanghai 200233, China.
Guojun Lu
Danlin Fan
Chuanrang Zhu
Wei Li
Qiang Zhao
Qi Feng
Yan Zhao
Yunli Guo
Wenjun Li
Xuehui Huang
Bin Han

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The functional complexity of the rice transcriptome is not yet fully elucidated, despite many studies having reported the use of DNA microarrays. Next-generation DNA sequencing technologies provide a powerful approach for mapping and quantifying the transcriptome, termed RNA sequencing (RNA-seq). In this study, we applied RNA-seq to globally sample transcripts of the cultivated rice Oryza sativa indica and japonica subspecies for resolving the whole-genome transcription profiles. We identified 15,708 novel transcriptional active regions (nTARs), of which 51.7% have no homolog to public protein data and >63% are putative single-exon transcripts, which are highly different from protein-coding genes (<20%). We found that approximately 48% of rice genes show alternative splicing patterns, a percentage considerably higher than previous estimations. On the basis of the available rice gene models, 83.1% (46,472 genes) of the current rice gene models were validated by RNA-seq, and 6228 genes were identified to be extended at the 5' and/or 3' ends by at least 50 bp. Comparative transcriptome analysis demonstrated that 3464 genes exhibited differential expression patterns. The ratio of SNPs with nonsynonymous/synonymous mutations was nearly 1:1.06. In total, we interrogated and compared transcriptomes of the two rice subspecies to reveal the overall transcriptional landscape at maximal resolution.

Indexed as

Gene Expression ProfilingSequence Analysis, RNAAlternative SplicingBase SequenceGenes, PlantGenome, PlantMolecular Sequence AnnotationOligonucleotide Array Sequence AnalysisOryzaPolymorphism, Single Nucleotide

Identifiers

PMID20627892
PMCPMC2928502

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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.