Evidence map›Paper›PMID 17524134›Full record

ArticleBMC bioinformatics2007

Identification of candidate regulatory sequences in mammalian 3' UTRs by statistical analysis of oligonucleotide distributions.

Davide Corà, Ferdinando Di Cunto, Michele Caselle, Paolo Provero

Open access · goldAbstract read
In one paragraph

Article in BMC bioinformatics, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.5field-weighted citation impact, top 15% of its field
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

12 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
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  9. Database for mRNA half-life of 19 977 genes obtained by DNA microarray analysis of pluripotent and differentiating mouse embryonic stem cells.DNA research : an international journal for rapid publication of reports on genes and genomes · 2009
    Article
  10. Prediction of human miRNAs using tissue-selective motifs in 3' UTRs.Proceedings of the National Academy of Sciences of the United States of America · 2008
    Article
  11. RNA landscape of evolution for optimal exon and intron discrimination.Proceedings of the National Academy of Sciences of the United States of America · 2008
    Article
  12. Article
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

4 authors at 1 institution in 1 country.

Davide CoràDept of Theoretical Physics, University of Turin and INFN, Turin, Italy. cora@to.infn.it <cora@to.infn.it>
Ferdinando Di Cunto
Michele Caselle
Paolo Provero
University of Turin · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background3' untranslated regions (3' UTRs) contain binding sites for many regulatory elements, and in particular for microRNAs (miRNAs). The importance of miRNA-mediated post-transcriptional regulation has become increasingly clear in the last few years.

resultsWe propose two complementary approaches to the statistical analysis of oligonucleotide frequencies in mammalian 3' UTRs aimed at the identification of candidate binding sites for regulatory elements. The first method is based on the identification of sets of genes characterized by evolutionarily conserved overrepresentation of an oligonucleotide. The second method is based on the identification of oligonucleotides showing statistically significant strand asymmetry in their distribution in 3' UTRs.

conclusionBoth methods are able to identify many previously known binding sites located in 3'UTRs, and in particular seed regions of known miRNAs. Many new candidates are proposed for experimental verification.

Indexed as

Algorithms3' Untranslated RegionsBase SequenceData Interpretation, StatisticalMicroRNAsModels, GeneticModels, StatisticalMolecular Sequence DataOligonucleotidesRegulatory Elements, TranscriptionalSequence Analysis, RNA3' Untranslated RegionsMicroRNAsOligonucleotides

Identifiers

PMID17524134
PMCPMC1904458
OpenAlexW2030955818

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.