Evidence map›Paper›PMID 18560582›Full record

ArticlePloS one2008

Alternative promoters influence alternative splicing at the genomic level.

Dedong Xin, Landian Hu, Xiangyin Kong

Abstract read
In one paragraph

Article in PloS one, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing 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

47 citing papers in PubMed.

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  15. Article
  16. The determinants of alternative RNA splicing in human cells.Molecular genetics and genomics : MGG · 2017
    Review
  17. IgH isotype-specific B cell receptor expression influences B cell fate.Proceedings of the National Academy of Sciences of the United States of America · 2017
    Article
  18. Article
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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

3 authors.

Dedong XinInstitute of Health Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, People's Republic of China.
Landian Hu
Xiangyin Kong

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMore and more experiments have shown that transcription and mRNA processing are not two independent events but are tightly coupled to each other. Both promoter and transcription rate were found to influence alternative splicing. More than half of human genes have alternative promoters, but it is still not clear why there are so many alternative promoters and what their biological roles are. METHODOLOGY/PRINCIPAL

findingsIn this study, we explored whether there is a functional correlation between alternative promoters and alternative splicing by a genome-wide analysis of human and mouse genes. We constructed a large data set of genes with alternative promoter and alternative splicing annotations. By analyzing these genes, we showed that genes with alternative promoters tended to demonstrate alternative splicing compare to genes with single promoter, and, genes with more alternative promoters tend to have more alternative splicing variants. Furthermore, transcripts from different alternative promoters tended to splice differently. CONCLUSIONS/SIGNIFICANCE: Thus at the genomic level, alternative promoters are positively correlated with alternative splicing.

Indexed as

Alternative SplicingGenomicsPromoter Regions, GeneticDNA, ComplementaryExpressed Sequence TagsRNA, MessengerRNA Processing, Post-TranscriptionalDNA, ComplementaryRNA, Messenger

Identifiers

PMID18560582
PMCPMC2409967

What OpenQuestion holds

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LicenceCC BY
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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.