Evidence map›Paper›PMID 18971640›Full record

ArticleRNA biology

Over-represented sequences located on 3' UTRs are potentially involved in regulatory functions.

Kihoon Yoon, Daijin Ko, Mark Doderer, Carolina B Livi, Luiz O F Penalva

Open access · hybridAbstract read
In one paragraph

Article in RNA biology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.8field-weighted citation impact, top 27% 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

8 citing papers in PubMed, 15 citations in OpenAlex.

  1. 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

5 authors at 2 institutions in 1 country.

Kihoon YoonDepartment of Epidemiology and Biostatistics, The University of Texas Health Science Center at San Antonio, San Antonio, Texas 78229-3900, USA.
Daijin Ko
Mark Doderer
Carolina B Livi
Luiz O F Penalva
The University of Texas at San Antonio · USThe University of Texas Health Science Center at San Antonio · US

Funding

second part of parentU54NS060658 · NINDS · UNIVERSITY OF TEXAS SAN ANTONIO · PI PALADINI, CARLOS ANTONIO · 2008 to 2012
$5.6M
NINDS NIH HHS U54 NS060658
6 · The paper itself

Abstract

Eukaryotic gene expression must be coordinated for the proper functioning of biological processes. This coordination can be achieved both at the transcriptional and post-transcriptional levels. In both cases, regulatory sequences placed at either promoter regions or on UTRs function as markers recognized by regulators that can then activate or repress different groups of genes according to necessity. While regulatory sequences involved in transcription are quite well documented, there is a lack of information on sequence elements involved in post-transcriptional regulation. We used a statistical over-representation method to identify novel regulatory elements located on UTRs. An exhaustive search approach was used to calculate the frequency of all possible n-mers (short nucleotide sequences) in 16,160 human genes of NCBI RefSeq sequences and to identify any peculiar usage of n-mers on UTRs. After a stringent filtering process, we identified 2,772 highly over-represented n-mers on 3' UTRs. We provide evidence that these n-mers are potentially involved in regulatory functions. Identified n-mers overlap with previously identified binding sites for HuR and TIA-1 and, ARE and GRE sequences. We determine also that n-mers overlap with predicted miRNA target sites. Finally, a method to cluster n-mer groups allowed the identification of putative gene networks.

Indexed as

3' Untranslated RegionsBase SequenceBinding SitesCluster AnalysisGene Expression RegulationGene Regulatory NetworksHumansMicroRNAsMolecular Sequence DataOperonRegulatory Sequences, Nucleic AcidTranscription, Genetic3' Untranslated RegionsMicroRNAs

Identifiers

PMID18971640
PMCPMC2732352
OpenAlexW2120312571

What OpenQuestion holds

Textmetadata
LicenceTDM
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.