Evidence map›Paper›PMID 15208437›Full record

ArticleRNA (New York, N.Y.)2004

Computational comparative analyses of alternative splicing regulation using full-length cDNA of various eukaryotes.

Hitomi Itoh, Takanori Washio, Masaru Tomita

Abstract read
In one paragraph

Article in RNA (New York, N.Y.), 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

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  19. Where do introns come from?PLoS biology · 2008
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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.

Hitomi ItohLaboratory for Bioinformatics, Institute for Advanced Biosciences, Keio University, Fujisawa, Kanagawa 252-8520, Japan.
Takanori Washio
Masaru Tomita

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We previously reported a computational approach to infer alternative splicing patterns from Mus musculus full-length cDNA clones and microarray data. Although we predicted a large number of unreported splice variants, the general mechanisms regulating alternative splicing were yet unknown. In the present study, we compared alternative exons and constitutive exons in terms of splice-site strength and frequency of potential regulatory sequences. These regulatory features were further compared among five different species: Homo sapiens, M. musculus, Arabidopsis thaliana, Oryza sativa, and Drosophila melanogaster. Solid statistical validations of our comparative analyses indicated that alternative exons have (1) weaker splice sites and (2) more potential regulatory sequences than constitutive exons. Based on our observations, we propose a combinatorial model of alternative splicing mechanisms, which suggests that alternative exons contain weak splice sites regulated alternatively by potential regulatory sequences on the exons.

Indexed as

Alternative SplicingAnimalsBase SequenceBiological EvolutionConserved SequenceDNA, ComplementaryDrosophila melanogasterExonsHumansIntronsMiceMolecular Sequence DataOryzaRegulatory Sequences, Nucleic AcidSpecies SpecificityDNA, Complementary

Identifiers

PMID15208437
PMCPMC1370592

What OpenQuestion holds

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Read underepoch 390

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.